{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_syr2k(double alpha,double beta,double C[80][80],double A[80][60],double B[80][60])\n{\n  int i;\n  int j;\n  int k;\n//BLAS PARAMS\n//UPLO  = 'L'\n//TRANS = 'N'\n//A is NxM\n//B is NxM\n//C is NxN\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      if (j <= i) {\n        C[i][j] *= beta;\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p5}\n    \n#pragma ACCEL TILE FACTOR=auto{_p7}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (k = 0; k < 60; k++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        if (j <= i) {\n          C[i][j] += A[j][k] * alpha * B[i][k] + B[j][k] * alpha * A[i][k];\n        }\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:8\nY:6.2\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.4\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:8\nY:6.2\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.2\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:5\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:6.4\nr0:0.0 r1:0.3 r2:0.2 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:5\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.5\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.4\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:20\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.5\nr0:0.0 r1:0.3 r2:0.2 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:8\nY:6.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:4\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:3\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:60\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.2\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:8\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:3\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:4\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.0\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.2\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:5\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:5.7\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:10\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.1 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:4\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.7\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.4\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:5.7\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:6.2\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:2\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:5\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:3\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:4\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:2.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:5.9\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:4\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.8\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:4\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:4.3\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:5\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:2\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:10\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:4\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:10\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:7.5\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:2\n_p2:8\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_2mm(int ni,int nj,int nk,int nl,double alpha,double beta,double tmp[40][50],double A[40][70],double B[70][50],double C[50][80],double D[40][80])\n{\n  int i;\n  int j;\n  int k;\n  \n#pragma ACCEL PIPELINE auto{_p6}\n  \n#pragma ACCEL TILE FACTOR=auto{_p10}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 40; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p8}\n    \n#pragma ACCEL TILE FACTOR=auto{_p12}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (j = 0; j < 50; j++) {\n      tmp[i][j] = 0.0;\n      \n#pragma ACCEL PARALLEL reduction = tmp FACTOR=auto{_p4}\n      for (k = 0; k < 70; ++k) {\n        tmp[i][j] += alpha * A[i][k] * B[k][j];\n      }\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p7}\n  \n#pragma ACCEL TILE FACTOR=auto{_p11}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 40; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (j = 0; j < 80; j++) {\n      D[i][j] *= beta;\n      \n#pragma ACCEL PARALLEL reduction = D FACTOR=auto{_p5}\n      for (k = 0; k < 50; ++k) {\n        D[i][j] += tmp[i][k] * C[k][j];\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:10\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:8\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:1.2 r2:0.7 r3:2.6 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:5\n_p4:8\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:32\n_p5:32\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.0\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:5\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:c\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:4\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:32\n_p5:4\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.1\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:8\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:40\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:50\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:10.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:32\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:6.7\nr0:0.0 r1:2.5 r2:1.6 r3:5.7 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:2\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:8\n_p5:1\n_p6:o\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.5\nr0:0.0 r1:2.8 r2:1.9 r3:6.5 V:0\nX:\n_p0:1\n_p1:40\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:5.8\nr0:1.0 r1:1.5 r2:1.0 r3:3.3 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:5\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:25\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.6\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:5\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.3\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:1\n_p5:10\n_p6:f\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:32\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.8\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:4\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:2\nY:5.7\nr0:0.0 r1:0.4 r2:0.2 r3:0.7 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.2\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:5\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:c\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:50\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:32\n_p5:8\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.3\nr0:0.0 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V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:16\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.9\nr0:0.0 r1:0.2 r2:0.1 r3:0.3 V:1\nX:\n_p0:1\n_p1:20\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:80\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.9\nr0:0.0 r1:2.9 r2:1.9 r3:6.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:5\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.1\nr0:0.0 r1:2.5 r2:1.6 r3:5.7 V:0\nX:\n_p0:32\n_p1:1\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:50\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:5\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:8\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:1\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:5\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.9\nr0:0.0 r1:0.2 r2:0.1 r3:0.4 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:2\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.7\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nTY:3.4\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:25\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_syr2k(double alpha,double beta,double C[80][80],double A[80][60],double B[80][60])\n{\n  int i;\n  int j;\n  int k;\n//BLAS PARAMS\n//UPLO  = 'L'\n//TRANS = 'N'\n//A is NxM\n//B is NxM\n//C is NxN\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      if (j <= i) {\n        C[i][j] *= beta;\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p5}\n    \n#pragma ACCEL TILE FACTOR=auto{_p7}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (k = 0; k < 60; k++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        if (j <= i) {\n          C[i][j] += A[j][k] * alpha * B[i][k] + B[j][k] * alpha * A[i][k];\n        }\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:4\n_p2:5\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:6\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.3\nr0:0.0 r1:0.0 r2:0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:1\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:10\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:5\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:4\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:8\nY:6.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:5.4\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:2\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 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V:1\nX:\n_p0:1\n_p1:1\n_p2:30\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:2\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:3\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:6.4\nr0:0.0 r1:0.3 r2:0.2 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.8\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:8\nY:6.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:2\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.2\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:5\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.7\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:10\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:2.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:8\n_p2:2\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:80\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:4\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:6.5\nr0:0.0 r1:0.3 r2:0.5 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:2\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:2\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.2\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:16\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:2\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:10\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:7.5\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:4\n_p2:3\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_trmm(double alpha,double A[60][60],double B[60][80])\n{\n//BLAS parameters\n//SIDE   = 'L'\n//UPLO   = 'L'\n//TRANSA = 'T'\n//DIAG   = 'U'\n// => Form  B := alpha*A**T*B.\n// A is MxM\n// B is MxN\n  \n#pragma ACCEL PIPELINE auto{_p3}\n  \n#pragma ACCEL TILE FACTOR=auto{_p5}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (int i = 0; i < 60; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p4}\n    \n#pragma ACCEL TILE FACTOR=auto{_p6}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (int j = 0; j < 80; j++) {\n      \n#pragma ACCEL PARALLEL reduction=B FACTOR=auto{_p2}\n      for (int k = 0; k < 60; k++) {\n        if (k > i) {\n          B[i][j] += A[k][i] * B[k][j];\n        }\n      }\n      B[i][j] = alpha * B[i][j];\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.2\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.2\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:2\n_p1:5\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.2\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:4\n_p2:3\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:4\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:20\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.2\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.2\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:5\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:4\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:8\n_p2:12\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:30\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:2\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:2\n_p2:30\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:10\n_p2:15\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:1.3\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:5\n_p3:o\n_p4:o\n_p5:1\n_p6:80\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_trmm(double alpha,double A[60][60],double B[60][80])\n{\n//BLAS parameters\n//SIDE   = 'L'\n//UPLO   = 'L'\n//TRANSA = 'T'\n//DIAG   = 'U'\n// => Form  B := alpha*A**T*B.\n// A is MxM\n// B is MxN\n  \n#pragma ACCEL PIPELINE auto{_p3}\n  \n#pragma ACCEL TILE FACTOR=auto{_p5}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (int i = 0; i < 60; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p4}\n    \n#pragma ACCEL TILE FACTOR=auto{_p6}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (int j = 0; j < 80; j++) {\n      double sum = B[i][j];\n#pragma ACCEL PARALLEL reduction=sum FACTOR=auto{_p2}\n      for (int k = 0; k < 60; k++) {\n        if (k > i) {\n          sum += A[k][i] * B[k][j];\n        }\n      }\n      B[i][j] = alpha * sum;\n    }\n  }\n}\n ```\nX:\n_p0:20\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:8.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.4 V:1\nX:\n_p0:8\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:3.9\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:32\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:4.8\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:16\n_p1:1\n_p2:32\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:o\n_p4:o\n_p5:8\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.7\nr0:0.0 r1:0.5 r2:0.3 r3:0.8 V:1\nX:\n_p0:30\n_p1:1\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:10\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:15\n_p3:o\n_p4:o\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:3\n_p3:o\n_p4:c\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:4.4\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:8\n_p2:10\n_p3:o\n_p4:c\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:8.5\nr0:0 r1:0.6 r2:0.3 r3:1.0 V:0\nX:\n_p0:1\n_p1:5\n_p2:32\n_p3:o\n_p4:o\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:5\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:9.8\nr0:0.0 r1:0.6 r2:1.8 r3:1.0 V:0\nX:\n_p0:1\n_p1:2\n_p2:60\n_p3:o\n_p4:c\n_p5:60\n_p6:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:10\n_p2:3\n_p3:o\n_p4:o\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:60\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:8.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.4 V:1\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.5\nr0:0 r1:0.6 r2:0.3 r3:1.0 V:0\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:5.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:20\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:4.8\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:30\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:3.9\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:30\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:5.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:6\n_p1:1\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:8.5\nr0:0 r1:0.6 r2:0.3 r3:1.0 V:0\nX:\n_p0:1\n_p1:16\n_p2:12\n_p3:o\n_p4:c\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:8.7\nr0:0.0 r1:0.9 r2:0.6 r3:1.5 V:0\nX:\n_p0:2\n_p1:1\n_p2:16\n_p3:o\n_p4:c\n_p5:1\n_p6:80\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:1\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:4.9\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:4.9\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:16\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:8.7\nr0:0.0 r1:0.9 r2:0.6 r3:1.5 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.4 V:1\nX:\n_p0:3\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.8\nr0:0.0 r1:1.2 r2:5.3 r3:2.3 V:0\nX:\n_p0:4\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.6\nr0:0.0 r1:1.6 r2:7.4 r3:3.0 V:0\nX:\n_p0:2\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.4\nr0:0.0 r1:0.9 r2:2.9 r3:1.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:3.9\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:c\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:8.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.4 V:1\nX:\n_p0:1\n_p1:20\n_p2:30\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:30\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:2\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:1\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:3.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:o\n_p4:c\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:5.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nTY:3.3\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:32\n_p3:o\n_p4:o\n_p5:60\n_p6:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[60][80],double ey[60][80],double hz[60][80],double _fict_[40])\n{\n  int t;\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 40; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 60; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 60; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 1; j < 80; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n    for (i = 0; i < 59; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 79; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:2\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:59\n_p14:60\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:79\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.5\nr0:0.0 r1:0.6 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:79\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:8.1\nr0:0.0 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:32\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.8\nr0:0.0 r1:0.4 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.0 r1:0.2 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:4\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:6.7\nr0:0.0 r1:0.7 r2:0.3 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:20\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:79\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:8.7\nr0:0.0 r1:0.4 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:79\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.6\nr0:0.0 r1:0.6 r2:0.4 r3:0.5 V:1\nX:\n_p0:40\n_p1:16\n_p2:4\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:60\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:79\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:8.1\nr0:0.0 r1:1.3 r2:0.7 r3:0.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:79\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.6\nr0:0.0 r1:1.3 r2:0.7 r3:0.9 V:0\nX:\n_p0:8\n_p1:1\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:1\nX:\n_p0:1\n_p1:16\n_p2:4\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:60\n_p15:1\nY:1.5\nr0:0.0 r1:0.7 r2:0.4 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:79\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:2.9\nr0:0.0 r1:0.5 r2:0.2 r3:0.4 V:1\nX:\n_p0:1\n_p1:32\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.6\nr0:0.0 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:16\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.0\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:4\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.6\nr0:0.0 r1:1.3 r2:0.5 r3:0.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:79\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.5\nr0:0.0 r1:1.3 r2:0.7 r3:0.9 V:0\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:c\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:16\n_p4:1\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:79\n_p8:o\n_p9:f\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:8.1\nr0:0.0 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:4\n_p3:1\n_p4:2\n_p5:1\n_p6:59\n_p7:1\n_p8:o\n_p9:f\n_p10:f\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:5\n_p1:1\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:1\nX:\n_p0:16\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:59\n_p14:60\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:59\n_p3:16\n_p4:5\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.1 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.8\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:79\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.5\nr0:0.0 r1:1.3 r2:0.7 r3:0.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:59\n_p3:16\n_p4:10\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:4\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:8\n_p15:59\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:59\n_p14:60\n_p15:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:16\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:2\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.1\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:79\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:60\n_p15:1\nY:3.6\nr0:0.0 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.5\nr0:0.0 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:32\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.0 r1:0.2 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:8\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:59\nY:4.7\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.1\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:10\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:59\n_p14:60\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:4\n_p3:16\n_p4:4\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:8\n_p14:1\n_p15:59\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:4\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:8\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:16\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:8\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:4\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:60\n_p15:59\nY:5.3\nr0:0.0 r1:0.8 r2:0.6 r3:0.6 V:0\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:30\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:f\n_p9:o\n_p10:o\n_p11:o\n_p12:4\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:c\n_p9:o\n_p10:f\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:60\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:60\n_p15:8\nY:3.5\nr0:0.0 r1:2.4 r2:1.2 r3:2.6 V:0\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:2\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:12\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:7.9\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[400],double x2[400],double y_1[400],double y_2[400],double A[400][400])\n{\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 400; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 400; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n}\n ```\nX:\n_p0:8\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:5\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:4\n_p7:1\nY:5.6\nr0:0.2 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.8\nr0:0.2 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:2\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:1\nY:1.1\nr0:0.5 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:1\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:2\n_p7:1\nY:6.7\nr0:0.1 r1:0.6 r2:0.3 r3:0.7 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:4\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.0\nr0:0.4 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:10\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:1\nY:5.7\nr0:0.4 r1:0.1 r2:0.1 r3:0.3 V:1\nX:\n_p0:5\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:4\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:32\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.0\nr0:0.3 r1:0.4 r2:0.2 r3:0.3 V:1\nX:\n_p0:8\n_p1:16\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:6.6\nr0:0.2 r1:1.5 r2:0.8 r3:2.6 V:0\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:25\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:3.5\nr0:0.3 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:8\n_p7:1\nY:7.1\nr0:0.3 r1:0.9 r2:0.6 r3:1.2 V:0\nX:\n_p0:8\n_p1:16\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:8\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:1\nY:5.6\nr0:0.3 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:25\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:4.2\nr0:0.2 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:400\n_p7:1\nY:7.9\nr0:0.2 r1:0.9 r2:0.5 r3:1.3 V:0\nX:\n_p0:16\n_p1:25\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:8\n_p7:1\nY:5.6\nr0:0.5 r1:0.0 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:400\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:3.5\nr0:0.3 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:20\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:2\n_p7:400\nY:6.7\nr0:0.4 r1:0.2 r2:0.2 r3:0.5 V:1\nX:\n_p0:5\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:400\nY:7.0\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:400\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:20\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:4.7\nr0:1.1 r1:1.5 r2:0.9 r3:3.2 V:0\nX:\n_p0:16\n_p1:20\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:5\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:4.0\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:32\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:6.1\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:f\n_p5:c\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[120], double x2[120], double y_1[120], double y_2[120], double A[120][120])\n{\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 120; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 120; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:2\n_p1:1\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:4\n_p7:120\nY:9.4\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:8\n_p1:2\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:4\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:3\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:120\n_p7:8\nY:7.4\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:3\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:4\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:4\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:8.2\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:24\n_p3:1\n_p4:c\n_p5:f\n_p6:120\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:12\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:6\n_p2:16\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:8.3\nr0:0.0 r1:0.6 r2:0.3 r3:1.2 V:0\nX:\n_p0:1\n_p1:6\n_p2:1\n_p3:8\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:9.2\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:8\n_p1:10\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:2\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:6\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:8\n_p7:1\nY:9.3\nr0:0.0 r1:0.8 r2:0.5 r3:1.5 V:0\nX:\n_p0:8\n_p1:1\n_p2:8\n_p3:15\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:9.8\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:8\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:1\n_p7:1\nY:10.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:12\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:9.3\nr0:0.0 r1:0.4 r2:0.2 r3:0.8 V:1\nX:\n_p0:8\n_p1:2\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:1\n_p7:4\nY:8.5\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:3\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.3\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:5\n_p2:2\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.2\nr0:0.0 r1:0.5 r2:0.3 r3:1.0 V:0\nX:\n_p0:8\n_p1:4\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:8\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:10\n_p1:24\n_p2:1\n_p3:20\n_p4:f\n_p5:c\n_p6:8\n_p7:1\nY:10.8\nr0:0.0 r1:1.0 r2:0.7 r3:2.0 V:0\nX:\n_p0:10\n_p1:1\n_p2:1\n_p3:20\n_p4:f\n_p5:c\n_p6:8\n_p7:120\nY:9.8\nr0:0.1 r1:0.7 r2:0.5 r3:1.8 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:8\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:2\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:11.3\nr0:0.0 r1:0.3 r2:0.2 r3:0.4 V:1\nX:\n_p0:20\n_p1:1\n_p2:24\n_p3:1\n_p4:c\n_p5:f\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:3\n_p2:3\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:2\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:120\n_p7:1\nY:8.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:10\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:120\n_p7:1\nY:8.5\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:10\n_p1:1\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:120\nY:9.7\nr0:0.0 r1:1.0 r2:0.6 r3:1.9 V:0\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:1\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:5\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:8.8\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:30\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:10.4\nr0:0.1 r1:0.2 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:15\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:10.3\nr0:0.1 r1:0.3 r2:0.3 r3:0.4 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V:1\nX:\n_p0:8\n_p1:16\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:6\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:8\nY:8.8\nr0:0.1 r1:0.7 r2:0.4 r3:1.4 V:0\nX:\n_p0:8\n_p1:3\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:2\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:30\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:9.3\nr0:0.1 r1:0.3 r2:0.2 r3:0.4 V:1\nX:\n_p0:1\n_p1:2\n_p2:24\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:9.7\nr0:0.0 r1:0.3 r2:0.1 r3:0.4 V:1\nX:\n_p0:8\n_p1:2\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:1\n_p2:12\n_p3:12\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:8.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:5\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.3\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:24\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:10.0\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:8.4\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:20\n_p1:4\n_p2:24\n_p3:1\n_p4:o\n_p5:f\n_p6:2\n_p7:4\nY:10.0\nr0:0.0 r1:0.9 r2:0.5 r3:1.5 V:0\nX:\n_p0:8\n_p1:10\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:15\n_p2:1\n_p3:20\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:8.4\nr0:0.1 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:8\n_p1:1\n_p2:10\n_p3:12\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.6\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:15\n_p2:1\n_p3:4\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:8.3\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:2\n_p1:12\n_p2:1\n_p3:30\n_p4:f\n_p5:c\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:10\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:8.6\nr0:0.0 r1:1.0 r2:0.6 r3:1.9 V:0\nX:\n_p0:2\n_p1:3\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:4\n_p7:4\nY:8.3\nr0:0.0 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:4\n_p1:1\n_p2:8\n_p3:10\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:9.0\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:2\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:8\n_p1:1\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:1\n_p7:120\nY:9.1\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:6\n_p1:1\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:8\n_p7:120\nY:9.5\nr0:0.0 r1:0.5 r2:0.3 r3:1.1 V:0\nX:\n_p0:8\n_p1:2\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:8\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:12\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.3\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:8\n_p1:2\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:1\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:120\nY:8.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:24\n_p3:6\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.5\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:4\n_p1:1\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:4\n_p7:120\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:120\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:5\n_p4:c\n_p5:o\n_p6:1\n_p7:1\nY:7.4\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:2\n_p1:1\n_p2:8\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.8\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:2\n_p1:1\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:8\n_p7:120\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:4\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:8\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:15\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:2\nY:7.8\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:20\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:120\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:15\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:10.3\nr0:0.1 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:12\n_p1:1\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:24\n_p3:3\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:8.0\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:3\n_p1:1\n_p2:1\n_p3:24\n_p4:f\n_p5:c\n_p6:1\n_p7:120\nY:10.0\nr0:0.1 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:8\n_p1:30\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:120\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:8.4\nr0:0.1 r1:0.7 r2:0.4 r3:1.0 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:3\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:24\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:120\n_p7:1\nY:9.3\nr0:0.1 r1:0.1 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:20\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:120\n_p7:1\nY:9.0\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:1\n_p2:8\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:9.1\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:3\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:8\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:2\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:2\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:7.6\nTV:0\n", "outputs":"### outputs: _p0:1\n_p1:5\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:120\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[60][80],double ey[60][80],double hz[60][80],double _fict_[40])\n{\n  int t;\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 40; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 60; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 60; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 1; j < 80; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n    for (i = 0; i < 59; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 79; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:79\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:2.7\nr0:0.1 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:4\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.6\nr0:0.0 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:2\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.6\nr0:0.0 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:8\nY:3.0\nr0:0.1 r1:0.8 r2:0.4 r3:0.7 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:c\n_p10:o\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:32\n_p4:1\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.7\nr0:0.0 r1:0.4 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.1\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.6\nr0:0.0 r1:0.6 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:4\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.6\nr0:0.0 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:32\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.2\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:59\n_p14:60\n_p15:1\nY:1.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:79\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:8.1\nr0:0.0 r1:1.3 r2:0.7 r3:0.9 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:16\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.6\nr0:0.0 r1:1.3 r2:0.7 r3:0.9 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V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.7\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:7.9\nr0:0.0 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:79\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:2.9\nr0:0.0 r1:0.5 r2:0.2 r3:0.4 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.7\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:16\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.0 r1:0.2 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.5\nr0:0.0 r1:0.6 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:3.6\nr0:0.0 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:79\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.7\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:1\n_p6:4\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.5\nr0:0.0 r1:1.3 r2:0.7 r3:0.9 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:4\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:59\n_p14:1\n_p15:1\nY:8.0\nr0:0.0 r1:0.8 r2:0.4 r3:0.6 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:32\n_p8:o\n_p9:f\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:20\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:32\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.0 r1:0.2 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:79\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:8\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.7\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:4\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:f\n_p9:o\n_p10:o\n_p11:o\n_p12:8\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:59\n_p14:60\n_p15:1\nY:7.9\nr0:0.0 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:4\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:6.7\nr0:0.0 r1:0.7 r2:0.3 r3:0.6 V:1\nX:\n_p0:1\n_p1:16\n_p2:4\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:60\n_p15:1\nY:1.5\nr0:0.0 r1:0.7 r2:0.4 r3:0.6 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:8\nY:3.0\nr0:0.1 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:32\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:79\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.5\nr0:0.0 r1:0.6 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:8\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:4\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:16\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:2\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.6\nr0:0.0 r1:0.6 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:4\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:4\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:10\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:59\n_p14:60\n_p15:59\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:79\n_p8:o\n_p9:f\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.5\nr0:0.0 r1:1.3 r2:0.7 r3:0.9 V:0\nTY:5.6\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:59\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_trmm(double alpha,double A[60][60],double B[60][80])\n{\n//BLAS parameters\n//SIDE   = 'L'\n//UPLO   = 'L'\n//TRANSA = 'T'\n//DIAG   = 'U'\n// => Form  B := alpha*A**T*B.\n// A is MxM\n// B is MxN\n  \n#pragma ACCEL PIPELINE auto{_p3}\n  \n#pragma ACCEL TILE FACTOR=auto{_p5}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (int i = 0; i < 60; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p4}\n    \n#pragma ACCEL TILE FACTOR=auto{_p6}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (int j = 0; j < 80; j++) {\n      \n#pragma ACCEL PARALLEL reduction=B FACTOR=auto{_p2}\n      for (int k = 0; k < 60; k++) {\n        if (k > i) {\n          B[i][j] += A[k][i] * B[k][j];\n        }\n      }\n      B[i][j] = alpha * B[i][j];\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:32\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:6\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:32\n_p1:1\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:32\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:30\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:4\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:6\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:2\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.2\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:20\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:3\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:30\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:15\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:4\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:4\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.2\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:32\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:60\n_p1:1\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:80\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:80\n_p2:4\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:4\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:o\n_p4:o\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 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r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:10\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:4\n_p2:10\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:12\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:1.3\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:15\n_p3:o\n_p4:o\n_p5:1\n_p6:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[200][240],double ey[200][240],double hz[200][240],double _fict_[100])\n{\n  int t;\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 100; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 240; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 0; j < 240; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (i = 0; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n      for (j = 1; j < 240; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 200 - 1; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 240 - 1; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:5\n_p6:1\n_p7:239\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:5\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:239\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.2\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.5 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:8\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.5 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:8\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:8\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.2 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:6\n_p6:1\n_p7:16\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.9\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:4\n_p8:o\n_p9:f\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:16\n_p2:199\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.3 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-0.2\nr0:0.2 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.2 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-3.3\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.3\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.6 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.5 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:4\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:100\n_p1:32\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:16\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:2\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:1.5\nr0:0.7 r1:1.0 r2:0.7 r3:1.0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:32\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:200\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:1\n_p7:239\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:239\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.5 r1:0.9 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:239\n_p8:o\n_p9:f\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:5\n_p6:1\n_p7:8\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:32\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.5 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.4 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:4\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:32\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:16\n_p8:o\n_p9:o\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:f\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:6.8\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.6 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:239\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:16\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.6 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:1\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nTY:3.9\nTV:0\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_trmm(double alpha,double A[60][60],double B[60][80])\n{\n//BLAS parameters\n//SIDE   = 'L'\n//UPLO   = 'L'\n//TRANSA = 'T'\n//DIAG   = 'U'\n// => Form  B := alpha*A**T*B.\n// A is MxM\n// B is MxN\n  \n#pragma ACCEL PIPELINE auto{_p3}\n  \n#pragma ACCEL TILE FACTOR=auto{_p5}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (int i = 0; i < 60; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p4}\n    \n#pragma ACCEL TILE FACTOR=auto{_p6}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (int j = 0; j < 80; j++) {\n      \n#pragma ACCEL PARALLEL reduction=B FACTOR=auto{_p2}\n      for (int k = 0; k < 60; k++) {\n        if (k > i) {\n          B[i][j] += A[k][i] * B[k][j];\n        }\n      }\n      B[i][j] = alpha * B[i][j];\n    }\n  }\n}\n ```\nX:\n_p0:2\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:5\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:6\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:8\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:2\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:30\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:12\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.2\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:3\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:4\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:5\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:80\n_p2:5\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:3\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:16\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:o\n_p4:o\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:15\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:6\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:30\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:0\nX:\n_p0:1\n_p1:5\n_p2:4\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:16\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:15\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:1.3\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:o\n_p5:1\n_p6:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[60][80],double ey[60][80],double hz[60][80],double _fict_[40])\n{\n  int t;\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 40; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 60; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 60; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 1; j < 80; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n    for (i = 0; i < 59; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 79; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:32\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.0\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.7\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:1\n_p6:4\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.5\nr0:0.0 r1:1.3 r2:0.7 r3:0.9 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:32\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.8\nr0:0.0 r1:0.4 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.5\nr0:0.0 r1:1.3 r2:0.7 r3:0.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:79\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:2.9\nr0:0.0 r1:0.5 r2:0.2 r3:0.4 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:79\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:1\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:60\n_p15:59\nY:6.7\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.1\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:79\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.7\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:f\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:9.3\nr0:0.0 r1:0.4 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:6\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.5\nr0:0.0 r1:1.3 r2:0.7 r3:0.9 V:0\nX:\n_p0:1\n_p1:8\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.6\nr0:0.0 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:8\nY:3.2\nr0:0.0 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:4\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.0 r1:0.7 r2:0.3 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:2\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.7\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:79\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.5\nr0:0.0 r1:1.3 r2:0.7 r3:0.9 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:15\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:15\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:59\n_p14:60\n_p15:59\nY:8.8\nr0:0.0 r1:0.4 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:16\n_p2:2\n_p3:1\n_p4:2\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.0 r1:0.5 r2:0.3 r3:0.4 V:1\nX:\n_p0:1\n_p1:32\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.6\nr0:0.0 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.7\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:8\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.0 r1:0.2 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:59\n_p3:16\n_p4:20\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:16\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:60\n_p15:1\nY:6.6\nr0:0.0 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:2.9\nr0:0.0 r1:0.5 r2:0.2 r3:0.4 V:1\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:4\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:4\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:2\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.6\nr0:0.0 r1:0.6 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:79\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.6\nr0:0.0 r1:0.6 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:60\n_p15:8\nY:3.5\nr0:0.0 r1:2.4 r2:1.2 r3:2.6 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.1\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:4\n_p3:1\n_p4:2\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:8\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.5\nr0:0.0 r1:2.4 r2:1.3 r3:1.8 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:59\n_p14:60\n_p15:8\nY:3.1\nr0:0.1 r1:0.8 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:59\n_p14:60\n_p15:1\nY:7.9\nr0:0.0 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:1\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:3.2\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:32\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[60][80],double ey[60][80],double hz[60][80],double _fict_[40])\n{\n  int t;\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 40; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 60; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 60; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 1; j < 80; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n    for (i = 0; i < 59; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 79; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:16\n_p2:4\n_p3:1\n_p4:2\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.0 r1:0.8 r2:0.5 r3:0.6 V:1\nTY:4.1\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[60][80],double ey[60][80],double hz[60][80],double _fict_[40])\n{\n  int t;\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 40; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 60; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 60; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 1; j < 80; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n    for (i = 0; i < 59; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 79; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:4\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:59\nY:6.7\nr0:0.0 r1:0.7 r2:0.3 r3:0.6 V:1\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:4\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.6\nr0:0.0 r1:0.8 r2:0.4 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:2\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:79\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.5\nr0:0.0 r1:1.3 r2:0.7 r3:0.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:f\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:9.3\nr0:0.0 r1:0.4 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:8\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:16\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.1 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:2.7\nr0:0.1 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:5\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:60\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.5\nr0:0.0 r1:1.3 r2:0.7 r3:0.9 V:0\nTY:5.5\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[200][240],double ey[200][240],double hz[200][240],double _fict_[100])\n{\n  int t;\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 100; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 240; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 0; j < 240; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (i = 0; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n      for (j = 1; j < 240; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 200 - 1; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 240 - 1; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n}\n ```\nX:\n_p0:20\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:f\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.2 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:4\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.9\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:5\n_p6:1\n_p7:8\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:4\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.4 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:239\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.5\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:8\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.5 r1:0.9 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:239\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:f\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.3\nr0:0.8 r1:1.8 r2:1.4 r3:1.4 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:199\n_p14:1\n_p15:199\nY:3.4\nr0:0.6 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:10\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.1\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-0.0\nr0:0.1 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:1\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:32\n_p1:1\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:199\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:2.0\nr0:0.6 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-0.2\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:1\n_p6:1\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:6\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.2\nr0:0.1 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:5\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.5 r1:0.6 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:32\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.9\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:32\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.7\nr0:0.5 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.9\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:4\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:32\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.4\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:10\n_p1:1\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:32\n_p8:o\n_p9:f\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-3.2\nr0:0.5 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:6\n_p6:1\n_p7:4\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:10\n_p6:1\n_p7:16\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:2.1\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nTY:0.6\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:16\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[120], double x2[120], double y_1[120], double y_2[120], double A[120][120])\n{\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 120; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 120; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.0\nr0:0.0 r1:0.3 r2:0.1 r3:0.4 V:1\nX:\n_p0:8\n_p1:2\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:32\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:4\n_p2:24\n_p3:1\n_p4:o\n_p5:f\n_p6:2\n_p7:2\nY:10.2\nr0:0.0 r1:0.5 r2:0.3 r3:0.8 V:0\nX:\n_p0:8\n_p1:2\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:1\n_p7:1\nY:9.5\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:8\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:10.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:2\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:24\n_p3:1\n_p4:c\n_p5:f\n_p6:120\n_p7:8\nY:8.2\nr0:0.0 r1:0.5 r2:0.3 r3:1.0 V:0\nX:\n_p0:10\n_p1:1\n_p2:1\n_p3:20\n_p4:f\n_p5:c\n_p6:8\n_p7:120\nY:9.8\nr0:0.1 r1:0.7 r2:0.5 r3:1.8 V:0\nX:\n_p0:16\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:9.6\nr0:0.0 r1:1.6 r2:1.0 r3:3.1 V:0\nX:\n_p0:10\n_p1:1\n_p2:1\n_p3:30\n_p4:f\n_p5:c\n_p6:1\n_p7:120\nY:10.1\nr0:0.0 r1:1.0 r2:0.6 r3:1.9 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V:0\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:12\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:9.3\nr0:0.0 r1:0.8 r2:0.5 r3:1.6 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:6\n_p4:c\n_p5:c\n_p6:1\n_p7:1\nY:7.4\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:120\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.2 r1:0.4 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:10\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:9.8\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:8\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:10.0\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:8\n_p1:1\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:24\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:10.0\nr0:0.1 r1:0.1 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:3\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:8\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:0\nX:\n_p0:1\n_p1:12\n_p2:1\n_p3:24\n_p4:f\n_p5:o\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:120\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:11.2\nr0:0.1 r1:0.5 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:3\n_p2:24\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:8.1\nr0:0.0 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:4\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:10.1\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:4\n_p1:15\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.1\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:2\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:32\n_p1:16\n_p2:1\n_p3:20\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:6\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:4\n_p7:1\nY:9.2\nr0:0.0 r1:0.6 r2:0.4 r3:1.2 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:8\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:10.1\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:2\n_p1:8\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:2\nY:10.5\nr0:0.0 r1:1.0 r2:0.6 r3:1.9 V:0\nX:\n_p0:4\n_p1:1\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:4\n_p7:120\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:30\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:8.4\nr0:0.2 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:4\n_p1:2\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:2\n_p7:1\nY:8.6\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:3\n_p2:1\n_p3:2\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:7.8\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:8\n_p1:3\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:2\nY:6.8\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nTY:9.1\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:6\n_p2:1\n_p3:5\n_p4:f\n_p5:c\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[120], double x2[120], double y_1[120], double y_2[120], double A[120][120])\n{\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 120; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 120; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:20\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:11.1\nr0:0.2 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:2\n_p1:1\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:10\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:8.1\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:3\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:8\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:12\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:120\n_p7:2\nY:8.2\nr0:0.1 r1:0.1 r2:0.0 r3:0.2 V:1\nX:\n_p0:2\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:4\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:1\n_p2:24\n_p3:1\n_p4:c\n_p5:f\n_p6:4\n_p7:120\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:15\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:5\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:7.8\nr0:0.0 r1:0.8 r2:0.4 r3:1.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.1\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:5\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.2 r2:0.1 r3:0.4 V:1\nX:\n_p0:1\n_p1:30\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:120\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:5\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:24\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:6\n_p2:1\n_p3:3\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:9.0\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:30\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:3\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.8\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:2\n_p1:3\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:2\nY:8.3\nr0:0.0 r1:0.5 r2:0.3 r3:1.0 V:0\nX:\n_p0:1\n_p1:4\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:120\n_p7:1\nY:9.5\nr0:0.1 r1:0.5 r2:0.2 r3:0.8 V:1\nX:\n_p0:2\n_p1:3\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:8\nY:8.4\nr0:0.0 r1:0.5 r2:0.3 r3:1.0 V:0\nX:\n_p0:8\n_p1:1\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:3\n_p1:1\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:8\n_p7:120\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:3\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:9.1\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:5\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:8\n_p7:1\nY:9.5\nr0:0.0 r1:0.5 r2:0.3 r3:1.0 V:0\nX:\n_p0:1\n_p1:8\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:120\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:120\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:3\n_p2:32\n_p3:1\n_p4:c\n_p5:f\n_p6:2\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:20\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:8.1\nr0:0.0 r1:0.5 r2:0.3 r3:1.0 V:0\nX:\n_p0:20\n_p1:2\n_p2:24\n_p3:1\n_p4:c\n_p5:f\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:5\n_p1:24\n_p2:1\n_p3:20\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:11.2\nr0:0.0 r1:0.8 r2:0.5 r3:1.2 V:0\nX:\n_p0:1\n_p1:2\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:120\n_p7:4\nY:8.0\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:5\n_p2:12\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:8.0\nr0:0.0 r1:0.5 r2:0.3 r3:1.0 V:0\nX:\n_p0:8\n_p1:16\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:5\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.4 r2:0.2 r3:0.8 V:1\nX:\n_p0:1\n_p1:3\n_p2:5\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:2\n_p1:12\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:4\n_p7:1\nY:9.9\nr0:0.0 r1:1.2 r2:0.7 r3:2.3 V:0\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:15\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:4\nY:8.4\nr0:0.1 r1:1.5 r2:0.9 r3:3.1 V:0\nX:\n_p0:1\n_p1:3\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:6.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:12\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:24\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.3\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:12\n_p1:1\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:120\nY:9.7\nr0:0.0 r1:1.2 r2:0.7 r3:2.3 V:0\nX:\n_p0:2\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:4\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:4\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:8\nY:10.6\nr0:0.0 r1:0.7 r2:0.4 r3:1.2 V:0\nX:\n_p0:8\n_p1:3\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:4\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:3\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:8\nY:8.4\nr0:0.0 r1:0.7 r2:0.4 r3:1.4 V:0\nTY:8.6\nTV:1\n", "outputs":"### outputs: _p0:4\n_p1:1\n_p2:10\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_covariance(int m,int n,double float_n,double data[100][80],double cov[80][80],double mean[80])\n{\n  int i;\n  int j;\n  int k;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p6}\n  \n#pragma ACCEL TILE FACTOR=auto{_p10}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (j = 0; j < 80; j++) {\n    mean[j] = 0.0;\n    \n#pragma ACCEL PARALLEL reduction=mean FACTOR=auto{_p3}\n    for (i = 0; i < 100; i++) {\n      mean[j] += data[i][j];\n    }\n    mean[j] /= float_n;\n  }\n  \n#pragma ACCEL PIPELINE auto{_p7}\n  \n#pragma ACCEL TILE FACTOR=auto{_p11}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 100; i++) {\n    \n#pragma ACCEL PARALLEL reduction=data FACTOR=auto{_p4}\n    for (j = 0; j < 80; j++) {\n      data[i][j] -= mean[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    for (j = i; j < 80; j++) {\n      cov[i][j] = 0.0;\n      \n#pragma ACCEL PARALLEL reduction=cov FACTOR=auto{_p5}\n      for (k = 0; k < 100; k++) {\n        cov[i][j] += data[k][i] * data[k][j];\n      }\n      cov[i][j] /= float_n - 1.0;\n      cov[j][i] = cov[i][j];\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:8\n_p1:10\n_p2:1\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:2\n_p11:1\n_p12:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:20\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.8\nr0:0.0 r1:0.4 r2:0.2 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:32\n_p6:o\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:8\n_p3:32\n_p4:1\n_p5:16\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:10\n_p2:10\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:8\nY:4.3\nr0:0.0 r1:0.4 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:4\n_p2:32\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:32\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.6\nr0:0.0 r1:0.5 r2:0.2 r3:0.2 V:1\nX:\n_p0:8\n_p1:1\n_p2:4\n_p3:32\n_p4:1\n_p5:16\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:1\n_p6:f\n_p7:o\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:25\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.0\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:8\n_p1:25\n_p2:1\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:2\n_p11:1\n_p12:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:2\n_p12:1\nY:1.4\nr0:0.0 r1:0.2 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:2\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:2.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:2\n_p6:o\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:1\n_p6:f\n_p7:c\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:80\n_p11:8\n_p12:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:2\n_p2:2\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:8\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:1\n_p2:32\n_p3:32\n_p4:8\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.6\nr0:0.0 r1:0.5 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:4\n_p2:10\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:80\n_p11:1\n_p12:8\nY:4.3\nr0:0.0 r1:0.4 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:4\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:2.9\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:1\n_p5:20\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:16\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.5\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:100\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:1\n_p3:32\n_p4:1\n_p5:1\n_p6:o\n_p7:f\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:4\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.1\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:2\n_p1:4\n_p2:20\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:c\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:2\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:8\n_p12:1\nY:3.6\nr0:0.0 r1:0.6 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:100\n_p6:f\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:5.2\nr0:0.1 r1:0.3 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:32\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:8\n_p12:1\nY:3.3\nr0:0.0 r1:0.3 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:1\n_p4:1\n_p5:16\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:10\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:80\n_p11:1\n_p12:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:5\n_p6:o\n_p7:f\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:1.5\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.4\nr0:0.0 r1:0.4 r2:0.1 r3:0.2 V:1\nX:\n_p0:8\n_p1:4\n_p2:5\n_p3:32\n_p4:1\n_p5:16\n_p6:c\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:1\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:1\n_p2:32\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:100\n_p12:1\nY:4.6\nr0:0.0 r1:0.6 r2:0.2 r3:0.2 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V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:16\n_p6:o\n_p7:o\n_p8:c\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:16\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.5\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:16\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.3\nr0:0.0 r1:0.4 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:1\n_p5:10\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:2\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:2.3\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:20\n_p2:20\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:4\nY:4.3\nr0:0.0 r1:0.5 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:f\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:32\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:4\n_p2:32\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:2\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.2\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:32\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.7\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:8\n_p1:5\n_p2:32\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:c\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:10\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.6\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:4\n_p2:32\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:80\n_p11:1\n_p12:1\nY:4.6\nr0:0.0 r1:0.5 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:5\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.2\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:100\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:5.0\nr0:0.1 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:10\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.6\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:f\n_p7:o\n_p8:c\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:1\n_p5:16\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:c\n_p9:f\n_p10:1\n_p11:2\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:10\n_p2:1\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:80\nY:4.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:32\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:10\n_p6:f\n_p7:o\n_p8:c\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:8\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:1.5\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_trmm(double alpha,double A[60][60],double B[60][80])\n{\n//BLAS parameters\n//SIDE   = 'L'\n//UPLO   = 'L'\n//TRANSA = 'T'\n//DIAG   = 'U'\n// => Form  B := alpha*A**T*B.\n// A is MxM\n// B is MxN\n  \n#pragma ACCEL PIPELINE auto{_p3}\n  \n#pragma ACCEL TILE FACTOR=auto{_p5}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (int i = 0; i < 60; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p4}\n    \n#pragma ACCEL TILE FACTOR=auto{_p6}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (int j = 0; j < 80; j++) {\n      \n#pragma ACCEL PARALLEL reduction=B FACTOR=auto{_p2}\n      for (int k = 0; k < 60; k++) {\n        if (k > i) {\n          B[i][j] += A[k][i] * B[k][j];\n        }\n      }\n      B[i][j] = alpha * B[i][j];\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:o\n_p4:o\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:16\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:8\n_p2:5\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.2\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:6\n_p1:1\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.2\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.2\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.2\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:20\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:5\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:15\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nTY:1.2\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:80\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[200][240],double ey[200][240],double hz[200][240],double _fict_[100])\n{\n  int t;\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 100; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 240; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 0; j < 240; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (i = 0; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n      for (j = 1; j < 240; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 200 - 1; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 240 - 1; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:2\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:1.5\nr0:0.7 r1:1.0 r2:0.7 r3:1.0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.4 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:239\n_p8:o\n_p9:f\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:2\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.2\nr0:0.5 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:8\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:199\n_p3:200\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:199\n_p3:8\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-0.5\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:4\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.1\nr0:0.6 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:239\n_p8:o\n_p9:o\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.5 r1:0.9 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:2\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-3.2\nr0:0.9 r1:0.9 r2:0.6 r3:1.0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.4 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:16\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.5 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:16\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:1\n_p8:o\n_p9:o\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:32\n_p3:1\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:239\n_p7:8\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.2\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:239\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.5 r1:0.9 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.0\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:239\n_p8:o\n_p9:f\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-3.2\nr0:0.5 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:1\n_p6:1\n_p7:239\n_p8:o\n_p9:f\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.3\nr0:0.8 r1:1.8 r2:1.4 r3:1.4 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:199\n_p14:1\n_p15:199\nY:-0.0\nr0:0.1 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-3.2\nr0:0.5 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:2\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:16\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.6 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:20\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:f\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:8\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.2 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-0.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.4 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:8\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.6 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:199\n_p3:5\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:12\n_p6:1\n_p7:4\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:2\n_p8:o\n_p9:f\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.4\nr0:0.2 r1:0.5 r2:0.3 r3:0.5 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V:0\nX:\n_p0:1\n_p1:16\n_p2:199\n_p3:20\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:2\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:16\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.6\nr0:0.5 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:3.4\nr0:0.6 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.2\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.5 r1:0.9 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:32\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.6 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.2\nr0:0.1 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:4\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.6 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-0.5\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:4\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.4\nr0:0.2 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.5 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.5 r1:0.9 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-0.1\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-3.3\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:2\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:1\n_p8:o\n_p9:o\n_p10:c\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:32\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:16\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.2 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:1\n_p6:1\n_p7:239\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.3\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:16\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:8\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.3\nr0:0.6 r1:0.9 r2:0.4 r3:0.7 V:0\nTY:0.7\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[120], double x2[120], double y_1[120], double y_2[120], double A[120][120])\n{\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 120; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 120; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:8\n_p1:20\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:0\nX:\n_p0:1\n_p1:2\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:120\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:3\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.3\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:20\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:30\n_p3:6\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.0\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:1\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:6\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:4\nY:9.3\nr0:0.0 r1:0.8 r2:0.5 r3:1.5 V:0\nX:\n_p0:8\n_p1:20\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:24\n_p2:1\n_p3:20\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:11.3\nr0:0.1 r1:0.2 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:10.8\nr0:0.1 r1:1.6 r2:1.0 r3:3.1 V:0\nX:\n_p0:4\n_p1:2\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:4\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:6\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:2\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:15\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:8.0\nr0:0.0 r1:0.5 r2:0.3 r3:1.0 V:0\nX:\n_p0:8\n_p1:20\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:4\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:30\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:120\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.2\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:3\n_p2:6\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.8\nr0:0.0 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:8\n_p1:1\n_p2:8\n_p3:12\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:9.6\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:120\n_p7:120\nY:8.4\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:24\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:6.9\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:20\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:10.3\nr0:0.1 r1:0.4 r2:0.3 r3:0.4 V:1\nX:\n_p0:1\n_p1:20\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:120\n_p7:1\nY:9.0\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:1\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:8\n_p7:120\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:15\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:30\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.3\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:120\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:24\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:11.3\nr0:0.0 r1:2.3 r2:1.4 r3:4.6 V:0\nX:\n_p0:8\n_p1:2\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:c\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:3\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:1.0 r2:0.6 r3:1.9 V:0\nX:\n_p0:4\n_p1:24\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:2\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:3\n_p2:1\n_p3:12\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:8.3\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:4\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:120\n_p7:8\nY:8.4\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:6\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:120\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:120\n_p7:1\nY:8.9\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:2\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:10.0\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nTY:3.6\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:120\n_p7:4\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_syr2k(double alpha,double beta,double C[80][80],double A[80][60],double B[80][60])\n{\n  int i;\n  int j;\n  int k;\n//BLAS PARAMS\n//UPLO  = 'L'\n//TRANS = 'N'\n//A is NxM\n//B is NxM\n//C is NxN\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      if (j <= i) {\n        C[i][j] *= beta;\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p5}\n    \n#pragma ACCEL TILE FACTOR=auto{_p7}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (k = 0; k < 60; k++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        if (j <= i) {\n          C[i][j] += A[j][k] * alpha * B[i][k] + B[j][k] * alpha * A[i][k];\n        }\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.2\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:4\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.8\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.5\nr0:0.0 r1:0.3 r2:0.2 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:8\nY:6.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:30\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:1\nX:\n_p0:1\n_p1:2\n_p2:6\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.2\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nTY:7.5\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:10\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_syr2k(double alpha,double beta,double C[80][80],double A[80][60],double B[80][60])\n{\n  int i;\n  int j;\n  int k;\n//BLAS PARAMS\n//UPLO  = 'L'\n//TRANS = 'N'\n//A is NxM\n//B is NxM\n//C is NxN\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      if (j <= i) {\n        C[i][j] *= beta;\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p5}\n    \n#pragma ACCEL TILE FACTOR=auto{_p7}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (k = 0; k < 60; k++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        if (j <= i) {\n          C[i][j] += A[j][k] * alpha * B[i][k] + B[j][k] * alpha * A[i][k];\n        }\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.4\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.2\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.1 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:2\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.2\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:5\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:2\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:3\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:4\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.8\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:6.5\nr0:0.0 r1:0.3 r2:0.5 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:6\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:4\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:5\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.5\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.3\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:4\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:4\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:2\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:4\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:4\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:3\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.2\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:3\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:1\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:5\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:4\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.1 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:5\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:2.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:2.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:10\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:1\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:6.0\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:5\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:8\nY:6.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:5\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:10\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:2\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.4\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:4\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:6.2\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.2\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:6\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:32\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.7\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:2.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:1\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:2\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:5\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:3\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.5\nr0:0.0 r1:0.3 r2:0.2 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:6\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:2\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:6\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:4\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:1\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:8\nY:6.2\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:2\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:8\nY:6.2\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:4\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.4\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:3\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:5\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:30\n_p3:4\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:4.2\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:o\n_p5:o\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_covariance(int m,int n,double float_n,double data[100][80],double cov[80][80],double mean[80])\n{\n  int i;\n  int j;\n  int k;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p6}\n  \n#pragma ACCEL TILE FACTOR=auto{_p10}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (j = 0; j < 80; j++) {\n    mean[j] = 0.0;\n    \n#pragma ACCEL PARALLEL reduction=mean FACTOR=auto{_p3}\n    for (i = 0; i < 100; i++) {\n      mean[j] += data[i][j];\n    }\n    mean[j] /= float_n;\n  }\n  \n#pragma ACCEL PIPELINE auto{_p7}\n  \n#pragma ACCEL TILE FACTOR=auto{_p11}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 100; i++) {\n    \n#pragma ACCEL PARALLEL reduction=data FACTOR=auto{_p4}\n    for (j = 0; j < 80; j++) {\n      data[i][j] -= mean[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    for (j = i; j < 80; j++) {\n      cov[i][j] = 0.0;\n      \n#pragma ACCEL PARALLEL reduction=cov FACTOR=auto{_p5}\n      for (k = 0; k < 100; k++) {\n        cov[i][j] += data[k][i] * data[k][j];\n      }\n      cov[i][j] /= float_n - 1.0;\n      cov[j][i] = cov[i][j];\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:32\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:8\n_p12:1\nY:3.3\nr0:0.0 r1:0.3 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:25\n_p6:f\n_p7:f\n_p8:c\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:5\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:4\n_p12:1\nY:3.0\nr0:0.0 r1:0.3 r2:0.3 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:4\n_p5:1\n_p6:f\n_p7:c\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:4\n_p2:20\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:4\nY:4.3\nr0:0.0 r1:0.4 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:1\n_p4:1\n_p5:16\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:20\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:4\n_p6:f\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.3\nr0:0.0 r1:0.4 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:80\n_p11:100\n_p12:80\nY:4.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:10\n_p6:o\n_p7:o\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:25\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.0\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:10\n_p6:f\n_p7:f\n_p8:c\n_p9:c\n_p10:1\n_p11:2\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:c\n_p9:c\n_p10:1\n_p11:2\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:1\n_p2:1\n_p3:32\n_p4:1\n_p5:16\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.8\nr0:0.0 r1:0.4 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:16\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.5\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:8\n_p1:1\n_p2:32\n_p3:32\n_p4:8\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.6\nr0:0.0 r1:0.5 r2:0.2 r3:0.1 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V:1\nX:\n_p0:8\n_p1:4\n_p2:10\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:8\n_p12:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:1\n_p5:4\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:1\n_p5:20\n_p6:f\n_p7:f\n_p8:c\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:5\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.2\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:10\n_p6:f\n_p7:o\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:16\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:16\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 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V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:100\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:2\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:25\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:10\n_p2:20\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:8\n_p11:1\n_p12:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:16\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.5\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:2\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:100\n_p12:80\nY:4.4\nr0:0.0 r1:0.3 r2:0.1 r3:0.2 V:1\nX:\n_p0:4\n_p1:1\n_p2:10\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:100\n_p12:8\nY:4.3\nr0:0.0 r1:0.5 r2:0.2 r3:0.3 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:16\n_p6:f\n_p7:o\n_p8:c\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:10\n_p2:10\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:4\n_p12:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:4\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.3\nr0:0.0 r1:0.3 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:o\n_p7:o\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:1.4\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:4\n_p12:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_trmm(double alpha,double A[60][60],double B[60][80])\n{\n//BLAS parameters\n//SIDE   = 'L'\n//UPLO   = 'L'\n//TRANSA = 'T'\n//DIAG   = 'U'\n// => Form  B := alpha*A**T*B.\n// A is MxM\n// B is MxN\n  \n#pragma ACCEL PIPELINE auto{_p3}\n  \n#pragma ACCEL TILE FACTOR=auto{_p5}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (int i = 0; i < 60; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p4}\n    \n#pragma ACCEL TILE FACTOR=auto{_p6}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (int j = 0; j < 80; j++) {\n      \n#pragma ACCEL PARALLEL reduction=B FACTOR=auto{_p2}\n      for (int k = 0; k < 60; k++) {\n        if (k > i) {\n          B[i][j] += A[k][i] * B[k][j];\n        }\n      }\n      B[i][j] = alpha * B[i][j];\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.2\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:60\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:15\n_p1:1\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:10\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:8\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:20\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:20\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:6\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:5\n_p2:6\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:32\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:2\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:3\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:1\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:2\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:3\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:10\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:5\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:80\n_p2:5\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:30\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:12\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:32\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:6\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:o\n_p4:o\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:3\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:20\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:o\n_p4:c\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:16\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:10\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:10\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:4\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:1.3\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:10\n_p3:o\n_p4:o\n_p5:1\n_p6:80\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_syr2k(double alpha,double beta,double C[80][80],double A[80][60],double B[80][60])\n{\n  int i;\n  int j;\n  int k;\n//BLAS PARAMS\n//UPLO  = 'L'\n//TRANS = 'N'\n//A is NxM\n//B is NxM\n//C is NxN\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      if (j <= i) {\n        C[i][j] *= beta;\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p5}\n    \n#pragma ACCEL TILE FACTOR=auto{_p7}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (k = 0; k < 60; k++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        if (j <= i) {\n          C[i][j] += A[j][k] * alpha * B[i][k] + B[j][k] * alpha * A[i][k];\n        }\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:2\n_p2:6\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:4\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.8\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:5\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:6\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:10\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:5.1\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:2\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:4\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:6.6\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:8\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[200][240],double ey[200][240],double hz[200][240],double _fict_[100])\n{\n  int t;\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 100; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 240; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 0; j < 240; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (i = 0; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n      for (j = 1; j < 240; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 200 - 1; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 240 - 1; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:10\n_p6:1\n_p7:2\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:1\n_p7:4\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:5\n_p6:1\n_p7:4\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.4\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.6 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-3.3\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:f\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:6.8\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:8\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.9\nr0:0.6 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:8\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:8\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.3\nr0:0.5 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:16\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.3\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:10\n_p6:1\n_p7:239\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:32\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.8\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:12\n_p6:1\n_p7:4\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.2\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:1\n_p7:4\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.6\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-0.3\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:4\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:16\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.5 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.5 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:16\n_p8:o\n_p9:o\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:100\n_p1:1\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:2\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.5 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:2.2\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:1\n_p4:199\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-3.2\nr0:0.9 r1:0.6 r2:0.4 r3:0.5 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:8\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.6 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:32\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.5 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.1 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.4 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.5 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:16\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 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V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:1\n_p8:o\n_p9:f\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.5 r1:0.6 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:2\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:4\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.4\nr0:0.2 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:f\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:32\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.1\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:2\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.2 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:16\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.5 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:16\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.6 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:25\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-3.2\nr0:0.5 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:8\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:239\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:8\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:32\n_p1:32\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:32\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.6\nr0:0.5 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:16\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.6\nr0:0.5 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:239\n_p7:16\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.2\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:199\n_p14:1\n_p15:199\nY:-0.0\nr0:0.1 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:c\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.5 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:32\n_p1:16\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:1\n_p8:o\n_p9:o\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.5 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:16\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:16\n_p8:o\n_p9:f\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.6 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:32\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:239\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.6 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:12\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:8\n_p8:o\n_p9:f\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.5 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.0\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:2\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-0.1\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:239\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.5 r1:0.9 r2:0.5 r3:0.7 V:0\nTY:1.3\nTV:0\n", "outputs":"### outputs: _p0:1\n_p1:32\n_p2:2\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[120], double x2[120], double y_1[120], double y_2[120], double A[120][120])\n{\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 120; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 120; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:3\n_p1:32\n_p2:1\n_p3:16\n_p4:f\n_p5:c\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:6\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:120\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:24\n_p2:1\n_p3:12\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:11.1\nr0:0.1 r1:0.3 r2:0.2 r3:0.3 V:1\nX:\n_p0:1\n_p1:8\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:120\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:6\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:8\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:3\n_p4:c\n_p5:o\n_p6:1\n_p7:1\nY:6.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:2\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:10\n_p2:30\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:8.8\nr0:0.0 r1:1.0 r2:0.6 r3:1.9 V:0\nX:\n_p0:20\n_p1:24\n_p2:24\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:11.2\nr0:0.0 r1:2.6 r2:1.7 r3:4.9 V:0\nX:\n_p0:1\n_p1:12\n_p2:1\n_p3:6\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:10.1\nr0:0.1 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:8\n_p1:8\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:5\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:1\n_p2:1\n_p3:20\n_p4:f\n_p5:c\n_p6:1\n_p7:120\nY:9.9\nr0:0.1 r1:1.6 r2:0.9 r3:3.1 V:0\nX:\n_p0:4\n_p1:32\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:4\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:24\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:8.1\nr0:0.0 r1:0.5 r2:0.3 r3:1.0 V:0\nX:\n_p0:1\n_p1:3\n_p2:32\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:20\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:2\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:3\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:2\n_p7:1\nY:9.4\nr0:0.0 r1:0.4 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:3\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.8\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:24\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:120\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:24\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:3\n_p1:1\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:2\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:2\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:15\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:2\n_p2:24\n_p3:1\n_p4:c\n_p5:f\n_p6:2\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.2\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:4\n_p1:2\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:1\n_p2:1\n_p3:20\n_p4:f\n_p5:c\n_p6:4\n_p7:120\nY:9.8\nr0:0.1 r1:0.4 r2:0.3 r3:0.8 V:1\nX:\n_p0:20\n_p1:3\n_p2:24\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:8\nY:8.4\nr0:0.0 r1:0.6 r2:0.5 r3:0.8 V:0\nX:\n_p0:4\n_p1:10\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:9.4\nr0:0.0 r1:1.0 r2:0.6 r3:1.9 V:0\nX:\n_p0:8\n_p1:3\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:2\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:15\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:8\n_p7:1\nY:8.4\nr0:0.0 r1:1.6 r2:1.0 r3:3.3 V:0\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:12\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:10.3\nr0:0.1 r1:0.3 r2:0.2 r3:0.3 V:1\nX:\n_p0:2\n_p1:6\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:9.4\nr0:0.0 r1:0.6 r2:0.4 r3:1.2 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:4\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:4\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:8\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:30\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:8.1\nr0:0.0 r1:0.5 r2:0.3 r3:1.0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:30\n_p4:c\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:1\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:2\n_p7:120\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:16\n_p4:c\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:24\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:9.3\nr0:0.3 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:8\n_p1:6\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:120\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:11.3\nr0:0.1 r1:0.7 r2:0.3 r3:0.8 V:1\nX:\n_p0:1\n_p1:24\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:4\nY:10.7\nr0:0.1 r1:2.4 r2:1.4 r3:4.8 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:12\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:8.2\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:30\n_p2:1\n_p3:16\n_p4:f\n_p5:c\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:16\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:2\nY:2.6\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:20\n_p1:1\n_p2:1\n_p3:20\n_p4:f\n_p5:c\n_p6:1\n_p7:120\nY:9.9\nr0:0.1 r1:1.9 r2:1.1 r3:3.9 V:0\nX:\n_p0:2\n_p1:5\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:8\nY:8.4\nr0:0.0 r1:0.7 r2:0.4 r3:1.4 V:0\nX:\n_p0:2\n_p1:2\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:3\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.4 V:1\nX:\n_p0:1\n_p1:30\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:120\n_p7:1\nY:8.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:1\n_p2:8\n_p3:12\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:9.6\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:6\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.4\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:12\n_p2:1\n_p3:20\n_p4:f\n_p5:c\n_p6:120\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:6\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:8\n_p7:1\nY:9.5\nr0:0.0 r1:0.7 r2:0.4 r3:1.4 V:0\nX:\n_p0:24\n_p1:1\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:120\nY:9.7\nr0:0.0 r1:2.3 r2:1.4 r3:4.6 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:8\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:9.3\nr0:0.1 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:4\n_p2:4\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:8.5\nr0:0.0 r1:0.5 r2:0.2 r3:0.8 V:1\nX:\n_p0:8\n_p1:4\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:2\nY:9.0\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:8\nY:10.6\nr0:0.1 r1:0.6 r2:0.3 r3:1.0 V:0\nX:\n_p0:4\n_p1:32\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:3\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:120\n_p7:8\nY:7.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:24\n_p3:1\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:6.9\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:6\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:8.3\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:6\n_p1:1\n_p2:1\n_p3:24\n_p4:f\n_p5:c\n_p6:1\n_p7:120\nY:10.0\nr0:0.1 r1:0.6 r2:0.4 r3:1.2 V:0\nX:\n_p0:8\n_p1:3\n_p2:32\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:7.6\nr0:0.1 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:2\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:4\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:8\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:120\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:120\n_p7:2\nY:7.0\nr0:0.0 r1:0.0 r2:0.0 r3:0.1 V:1\nTY:9.6\nTV:0\n", "outputs":"### outputs: _p0:4\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_syr2k(double alpha,double beta,double C[80][80],double A[80][60],double B[80][60])\n{\n  int i;\n  int j;\n  int k;\n//BLAS PARAMS\n//UPLO  = 'L'\n//TRANS = 'N'\n//A is NxM\n//B is NxM\n//C is NxN\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      if (j <= i) {\n        C[i][j] *= beta;\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p5}\n    \n#pragma ACCEL TILE FACTOR=auto{_p7}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (k = 0; k < 60; k++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        if (j <= i) {\n          C[i][j] += A[j][k] * alpha * B[i][k] + B[j][k] * alpha * A[i][k];\n        }\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:4.3\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:3\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:60\nY:7.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:2\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:8\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:2\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:5.9\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:3\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:6.5\nr0:0.0 r1:0.3 r2:0.5 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:3\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.4\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:2.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:10\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:3\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:5\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:2\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:2\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.2\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:8\nY:6.2\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:5\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:6\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:6\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:5.1\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:32\n_p1:1\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:6.0\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:2\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nTY:7.6\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:2\n_p2:2\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[120], double x2[120], double y_1[120], double y_2[120], double A[120][120])\n{\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 120; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 120; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:15\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:9.6\nr0:0.0 r1:1.5 r2:0.9 r3:2.9 V:0\nX:\n_p0:1\n_p1:16\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:120\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:15\n_p2:1\n_p3:16\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:1\n_p2:8\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:9.1\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:3\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:4\n_p7:1\nY:9.5\nr0:0.0 r1:0.4 r2:0.2 r3:0.6 V:1\nX:\n_p0:8\n_p1:6\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:15\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:8.4\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:2\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:10\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:6\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:32\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.6\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 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V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:4\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.2\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:1\n_p2:8\n_p3:10\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:9.0\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:1\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:15\n_p2:32\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:8.4\nTV:1\n", "outputs":"### outputs: _p0:8\n_p1:6\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:4\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[120], double x2[120], double y_1[120], double y_2[120], double A[120][120])\n{\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 120; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 120; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:8.7\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:8\n_p1:1\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:4\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:5\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:8.2\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:3\n_p1:1\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:1\n_p7:120\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:1\n_p2:10\n_p3:24\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:8.6\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:3\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:4\nY:8.4\nr0:0.0 r1:0.7 r2:0.4 r3:1.4 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:2\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:8\n_p1:15\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:8\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:12\n_p2:1\n_p3:20\n_p4:f\n_p5:c\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:30\n_p3:4\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.8\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:5\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:6.7\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:3\n_p2:3\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:4\n_p1:1\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:4\n_p7:120\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:24\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:120\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:6.9\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:15\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:8.4\nr0:0.1 r1:1.4 r2:0.8 r3:2.9 V:0\nX:\n_p0:8\n_p1:10\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:4\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:5\n_p2:24\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:8.4\nr0:0.0 r1:0.8 r2:0.6 r3:1.2 V:0\nX:\n_p0:8\n_p1:24\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:1\n_p7:1\nY:10.7\nr0:0.2 r1:0.1 r2:0.1 r3:0.1 V:1\nX:\n_p0:4\n_p1:12\n_p2:1\n_p3:24\n_p4:f\n_p5:c\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:24\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:10.0\nr0:0.1 r1:0.1 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:5\n_p2:120\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:8.4\nr0:0.1 r1:0.7 r2:0.4 r3:1.0 V:0\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:120\n_p7:1\nY:8.4\nr0:0.1 r1:0.5 r2:0.3 r3:1.0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:8.6\nr0:0.0 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:30\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:8\nY:10.2\nr0:0.1 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:3\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.0 r2:0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:120\n_p7:1\nY:8.1\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:10\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:8\nY:8.0\nr0:0.0 r1:1.1 r2:0.6 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V:1\nX:\n_p0:1\n_p1:3\n_p2:1\n_p3:2\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:7.8\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:8\n_p1:5\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.6\nr0:0.1 r1:0.5 r2:0.3 r3:1.0 V:0\nX:\n_p0:4\n_p1:1\n_p2:12\n_p3:10\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:8.8\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:30\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:9.3\nr0:0.0 r1:0.2 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:10\n_p4:c\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:10\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:1\n_p7:1\nY:9.2\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:10\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:120\n_p7:8\nY:8.1\nr0:0.0 r1:1.1 r2:0.6 r3:2.1 V:0\nX:\n_p0:1\n_p1:3\n_p2:1\n_p3:15\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:8.3\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:10\n_p1:24\n_p2:1\n_p3:20\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:11.2\nr0:0.0 r1:1.3 r2:0.8 r3:2.2 V:0\nX:\n_p0:8\n_p1:2\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:2\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:3\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:1\n_p7:4\nY:7.3\nr0:0.1 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:8\n_p1:4\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:1\n_p7:1\nY:9.9\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:5\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:4\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:120\n_p7:1\nY:8.5\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:2\n_p1:24\n_p2:1\n_p3:20\n_p4:f\n_p5:c\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:2\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:8\n_p7:4\nY:10.5\nr0:0.0 r1:0.6 r2:0.4 r3:1.0 V:0\nX:\n_p0:8\n_p1:1\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:8\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:6\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:2\nY:9.3\nr0:0.1 r1:0.7 r2:0.4 r3:1.4 V:0\nX:\n_p0:2\n_p1:3\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:4\nY:8.4\nr0:0.0 r1:0.5 r2:0.3 r3:1.0 V:0\nX:\n_p0:4\n_p1:1\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:2\n_p7:120\nY:8.2\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:8\n_p1:30\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:2\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:1\n_p2:10\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.3\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:6\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.9\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:6\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.3\nr0:0.0 r1:0.0 r2:0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:3\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:9.1\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:12\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:120\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:3\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:8\n_p7:1\nY:8.4\nr0:0.0 r1:0.7 r2:0.4 r3:1.4 V:0\nTY:7.9\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:16\n_p3:4\n_p4:o\n_p5:o\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_covariance(int m,int n,double float_n,double data[100][80],double cov[80][80],double mean[80])\n{\n  int i;\n  int j;\n  int k;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p6}\n  \n#pragma ACCEL TILE FACTOR=auto{_p10}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (j = 0; j < 80; j++) {\n    mean[j] = 0.0;\n    \n#pragma ACCEL PARALLEL reduction=mean FACTOR=auto{_p3}\n    for (i = 0; i < 100; i++) {\n      mean[j] += data[i][j];\n    }\n    mean[j] /= float_n;\n  }\n  \n#pragma ACCEL PIPELINE auto{_p7}\n  \n#pragma ACCEL TILE FACTOR=auto{_p11}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 100; i++) {\n    \n#pragma ACCEL PARALLEL reduction=data FACTOR=auto{_p4}\n    for (j = 0; j < 80; j++) {\n      data[i][j] -= mean[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    for (j = i; j < 80; j++) {\n      cov[i][j] = 0.0;\n      \n#pragma ACCEL PARALLEL reduction=cov FACTOR=auto{_p5}\n      for (k = 0; k < 100; k++) {\n        cov[i][j] += data[k][i] * data[k][j];\n      }\n      cov[i][j] /= float_n - 1.0;\n      cov[j][i] = cov[i][j];\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:1.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:2\n_p1:1\n_p2:20\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:c\n_p8:f\n_p9:o\n_p10:1\n_p11:100\n_p12:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:20\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.0\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:1.5\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:16\n_p2:1\n_p3:32\n_p4:1\n_p5:16\n_p6:c\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.8\nr0:0.0 r1:1.2 r2:0.5 r3:0.6 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:c\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:1\n_p6:o\n_p7:f\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:8\n_p12:1\nY:2.2\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:25\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:2\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:4\n_p11:8\n_p12:80\nY:3.6\nr0:0.0 r1:0.6 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:100\n_p6:f\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:1\n_p5:25\n_p6:f\n_p7:f\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:5\n_p2:32\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:1.5\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:8\n_p1:1\n_p2:1\n_p3:32\n_p4:1\n_p5:16\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.8\nr0:0.0 r1:0.4 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:1\n_p5:25\n_p6:f\n_p7:f\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:8\n_p12:1\nY:3.6\nr0:0.0 r1:0.3 r2:0.1 r3:0.1 V:1\nX:\n_p0:8\n_p1:1\n_p2:32\n_p3:32\n_p4:8\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.6\nr0:0.0 r1:0.5 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:1\n_p5:5\n_p6:o\n_p7:f\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:10\n_p6:o\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:2\n_p12:1\nY:3.1\nr0:0.0 r1:0.3 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:4\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.0\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:32\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:16\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.5\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:32\n_p4:1\n_p5:1\n_p6:o\n_p7:f\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:20\n_p3:32\n_p4:1\n_p5:16\n_p6:c\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:32\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.6\nr0:0.0 r1:0.2 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:4\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.0\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:1\n_p4:1\n_p5:25\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:5\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:4\n_p12:1\nY:3.0\nr0:0.0 r1:0.3 r2:0.3 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:1\n_p5:20\n_p6:f\n_p7:f\n_p8:c\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:2\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:8\n_p12:1\nY:3.6\nr0:0.0 r1:0.6 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:2.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:o\n_p9:c\n_p10:1\n_p11:8\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:4\n_p2:1\n_p3:32\n_p4:1\n_p5:16\n_p6:c\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:80\nY:3.8\nr0:0.0 r1:0.5 r2:0.2 r3:0.2 V:1\nX:\n_p0:4\n_p1:4\n_p2:20\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:2\n_p12:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:20\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:32\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:2\n_p12:1\nY:3.5\nr0:0.0 r1:0.3 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:32\n_p5:1\n_p6:f\n_p7:c\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:5\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.1\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:2\n_p1:4\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:4\n_p12:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:32\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.6\nr0:0.0 r1:0.5 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:10\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:2\n_p12:1\nY:3.7\nr0:0.1 r1:0.3 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:100\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:5.0\nr0:0.1 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:8\n_p1:8\n_p2:1\n_p3:32\n_p4:1\n_p5:16\n_p6:c\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.8\nr0:0.0 r1:0.8 r2:0.3 r3:0.3 V:0\nTY:4.6\nTV:1\n", "outputs":"### outputs: _p0:8\n_p1:1\n_p2:32\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:100\n_p12:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[120], double x2[120], double y_1[120], double y_2[120], double A[120][120])\n{\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 120; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 120; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.1\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:2\n_p1:3\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:2\nY:8.3\nr0:0.0 r1:0.5 r2:0.3 r3:1.0 V:0\nX:\n_p0:4\n_p1:3\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:4\n_p7:1\nY:8.4\nr0:0.0 r1:0.7 r2:0.4 r3:1.4 V:0\nX:\n_p0:8\n_p1:4\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:12\n_p2:1\n_p3:4\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:10.1\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:4\n_p1:16\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:8.5\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:3\n_p2:24\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:8.2\nr0:0.0 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:2\n_p1:12\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:2\nY:10.3\nr0:0.0 r1:1.3 r2:0.8 r3:2.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:4\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:20\n_p1:5\n_p2:24\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:8.4\nr0:0.0 r1:0.8 r2:0.6 r3:1.2 V:0\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.9\nr0:0.1 r1:0.0 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V:0\nX:\n_p0:8\n_p1:3\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:2\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:8\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:30\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:120\n_p7:2\nY:8.2\nr0:0.0 r1:0.2 r2:0.1 r3:0.4 V:1\nX:\n_p0:1\n_p1:10\n_p2:5\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:1.0 r2:0.6 r3:1.9 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:16\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:9.4\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:9.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:120\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:1\n_p2:8\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:9.1\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:6\n_p4:c\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:3\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:120\n_p7:1\nY:7.8\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:1\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.0\nr0:0.1 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:3\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.8\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:20\n_p1:1\n_p2:24\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:15\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:2\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:24\n_p3:1\n_p4:c\n_p5:f\n_p6:120\n_p7:4\nY:9.7\nr0:0.0 r1:0.6 r2:0.3 r3:0.8 V:1\nX:\n_p0:2\n_p1:10\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:4\n_p7:8\nY:8.6\nr0:0.0 r1:1.1 r2:0.7 r3:2.1 V:0\nX:\n_p0:1\n_p1:6\n_p2:1\n_p3:20\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:9.3\nr0:0.1 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:6\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:10.8\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:8\n_p1:3\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:4\nY:7.4\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:3\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:2\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:12\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:8.0\nr0:0.0 r1:0.5 r2:0.3 r3:1.0 V:0\nX:\n_p0:20\n_p1:2\n_p2:24\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:11.2\nr0:0.0 r1:0.6 r2:0.5 r3:0.6 V:1\nX:\n_p0:1\n_p1:5\n_p2:3\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.5 r2:0.3 r3:1.0 V:0\nX:\n_p0:1\n_p1:12\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:120\n_p7:2\nY:8.2\nr0:0.1 r1:0.1 r2:0.0 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:12\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:9.3\nr0:0.1 r1:0.2 r2:0.1 r3:0.2 V:1\nTY:9.7\nTV:0\n", "outputs":"### outputs: _p0:5\n_p1:1\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:120\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[60][80],double ey[60][80],double hz[60][80],double _fict_[40])\n{\n  int t;\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 40; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 60; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 60; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 1; j < 80; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n    for (i = 0; i < 59; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 79; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.1\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:79\n_p8:o\n_p9:f\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:8.1\nr0:0.0 r1:1.3 r2:0.7 r3:0.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.6\nr0:0.0 r1:0.6 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:7.4\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.6\nr0:0.0 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.7\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:79\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:8.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.5\nr0:0.0 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:4\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:4\n_p15:59\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:4\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:59\n_p14:1\n_p15:59\nY:8.9\nr0:0.0 r1:0.7 r2:0.3 r3:0.6 V:1\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:60\n_p15:8\nY:3.5\nr0:0.0 r1:2.4 r2:1.2 r3:2.6 V:0\nX:\n_p0:32\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:60\n_p15:59\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:8\n_p8:o\n_p9:f\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:16\n_p3:16\n_p4:4\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:2\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.6\nr0:0.0 r1:1.3 r2:0.7 r3:0.9 V:0\nX:\n_p0:8\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.5\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:4\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.6\nr0:0.0 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:32\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.8\nr0:0.0 r1:0.4 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.5\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:59\nY:4.7\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:79\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:32\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.0\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:4\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:59\n_p14:2\n_p15:59\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.6\nr0:0.0 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:79\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.5\nr0:0.0 r1:1.3 r2:0.7 r3:0.9 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:3.8\nr0:0.0 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:4\n_p3:1\n_p4:2\n_p5:1\n_p6:1\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:59\nY:5.3\nr0:0.0 r1:0.9 r2:0.6 r3:0.6 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:4\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:8.9\nr0:0.0 r1:0.7 r2:0.3 r3:0.6 V:1\nX:\n_p0:32\n_p1:16\n_p2:1\n_p3:16\n_p4:2\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:59\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:4.5\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:2\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[200][240],double ey[200][240],double hz[200][240],double _fict_[100])\n{\n  int t;\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 100; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 240; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 0; j < 240; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (i = 0; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n      for (j = 1; j < 240; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 200 - 1; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 240 - 1; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:2\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:5\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.3\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:100\n_p1:32\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:8\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:10\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:239\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:16\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-0.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:5\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:f\n_p9:o\n_p10:o\n_p11:o\n_p12:8\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:32\n_p6:32\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.4\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:4\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:c\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:199\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:3\n_p6:1\n_p7:8\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-0.3\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.3 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:10\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.1\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:32\n_p8:o\n_p9:f\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:199\n_p3:32\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:4\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:8\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.4\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:2.6\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:8\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:239\n_p7:8\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.2\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 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V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.5 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:239\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.2\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:4\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.4 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:8\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.2 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:4\n_p1:32\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:239\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.2\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:200\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.4 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:16\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.6\nr0:0.5 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:16\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:f\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:1\n_p8:o\n_p9:o\n_p10:c\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.5 r1:0.9 r2:0.5 r3:0.7 V:0\nX:\n_p0:8\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:f\n_p9:o\n_p10:o\n_p11:o\n_p12:2\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:1\n_p7:8\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.9\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:239\n_p8:o\n_p9:o\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:199\n_p3:16\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:2\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:32\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:2.0\nr0:0.6 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.4 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-0.2\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:4\n_p8:o\n_p9:f\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:200\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:239\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:2.0\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.5 r1:0.9 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:16\n_p2:16\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:1\n_p6:1\n_p7:239\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:1.0\nTV:0\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_covariance(int m,int n,double float_n,double data[100][80],double cov[80][80],double mean[80])\n{\n  int i;\n  int j;\n  int k;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p6}\n  \n#pragma ACCEL TILE FACTOR=auto{_p10}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (j = 0; j < 80; j++) {\n    mean[j] = 0.0;\n    \n#pragma ACCEL PARALLEL reduction=mean FACTOR=auto{_p3}\n    for (i = 0; i < 100; i++) {\n      mean[j] += data[i][j];\n    }\n    mean[j] /= float_n;\n  }\n  \n#pragma ACCEL PIPELINE auto{_p7}\n  \n#pragma ACCEL TILE FACTOR=auto{_p11}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 100; i++) {\n    \n#pragma ACCEL PARALLEL reduction=data FACTOR=auto{_p4}\n    for (j = 0; j < 80; j++) {\n      data[i][j] -= mean[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    for (j = i; j < 80; j++) {\n      cov[i][j] = 0.0;\n      \n#pragma ACCEL PARALLEL reduction=cov FACTOR=auto{_p5}\n      for (k = 0; k < 100; k++) {\n        cov[i][j] += data[k][i] * data[k][j];\n      }\n      cov[i][j] /= float_n - 1.0;\n      cov[j][i] = cov[i][j];\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:8\n_p1:1\n_p2:10\n_p3:32\n_p4:1\n_p5:16\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:25\n_p6:o\n_p7:o\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:2\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:2.4\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.6\nr0:0.0 r1:0.5 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:8\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:8\n_p12:1\nY:1.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:4\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:2.9\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:5\n_p2:32\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.2\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:8\n_p1:25\n_p2:32\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.6\nr0:0.0 r1:0.6 r2:0.3 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:1.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:8\n_p1:4\n_p2:1\n_p3:32\n_p4:1\n_p5:1\n_p6:c\n_p7:f\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:16\n_p6:o\n_p7:o\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:4\n_p2:1\n_p3:32\n_p4:1\n_p5:16\n_p6:c\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:80\nY:3.8\nr0:0.0 r1:0.5 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:4\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:4\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.0\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:2\n_p6:f\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:1\n_p6:o\n_p7:f\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:32\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:25\n_p6:o\n_p7:f\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:5\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.2\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:100\n_p6:f\n_p7:f\n_p8:c\n_p9:c\n_p10:1\n_p11:2\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:2\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:2.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:32\n_p6:o\n_p7:f\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:20\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:1\n_p5:16\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.6\nr0:0.0 r1:0.4 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:80\n_p11:100\n_p12:1\nY:4.6\nr0:0.0 r1:0.5 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:8\n_p5:1\n_p6:o\n_p7:c\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:80\n_p3:32\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:4\n_p2:20\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:4\nY:4.3\nr0:0.0 r1:0.4 r2:0.2 r3:0.1 V:1\nX:\n_p0:2\n_p1:4\n_p2:10\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:8\nY:4.3\nr0:0.0 r1:0.4 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:25\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:32\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.6\nr0:0.0 r1:0.5 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:2\n_p12:1\nY:1.4\nr0:0.0 r1:0.2 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:8\n_p1:2\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:2\n_p11:8\n_p12:80\nY:3.6\nr0:0.0 r1:0.5 r2:0.2 r3:0.2 V:1\nX:\n_p0:8\n_p1:10\n_p2:32\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:c\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:10\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.7\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:20\n_p5:1\n_p6:f\n_p7:c\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:16\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:4\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:20\n_p2:1\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:80\nY:4.3\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:10\n_p6:o\n_p7:f\n_p8:c\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:25\n_p6:f\n_p7:o\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:1\n_p4:1\n_p5:16\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:10\n_p6:o\n_p7:o\n_p8:c\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:1.5\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:2\n_p2:32\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.6\nr0:0.0 r1:0.5 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:o\n_p7:f\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:1.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:10\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.6\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:100\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:5.0\nr0:0.1 r1:0.2 r2:0.1 r3:0.1 V:1\nTY:2.4\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_covariance(int m,int n,double float_n,double data[100][80],double cov[80][80],double mean[80])\n{\n  int i;\n  int j;\n  int k;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p6}\n  \n#pragma ACCEL TILE FACTOR=auto{_p10}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (j = 0; j < 80; j++) {\n    mean[j] = 0.0;\n    \n#pragma ACCEL PARALLEL reduction=mean FACTOR=auto{_p3}\n    for (i = 0; i < 100; i++) {\n      mean[j] += data[i][j];\n    }\n    mean[j] /= float_n;\n  }\n  \n#pragma ACCEL PIPELINE auto{_p7}\n  \n#pragma ACCEL TILE FACTOR=auto{_p11}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 100; i++) {\n    \n#pragma ACCEL PARALLEL reduction=data FACTOR=auto{_p4}\n    for (j = 0; j < 80; j++) {\n      data[i][j] -= mean[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    for (j = i; j < 80; j++) {\n      cov[i][j] = 0.0;\n      \n#pragma ACCEL PARALLEL reduction=cov FACTOR=auto{_p5}\n      for (k = 0; k < 100; k++) {\n        cov[i][j] += data[k][i] * data[k][j];\n      }\n      cov[i][j] /= float_n - 1.0;\n      cov[j][i] = cov[i][j];\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:4\n_p1:4\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:80\nY:4.4\nr0:0.0 r1:0.4 r2:0.2 r3:0.3 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:1\n_p4:1\n_p5:20\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:1\n_p6:o\n_p7:c\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:100\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:7.1\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:10\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:5\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.2\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:1\n_p5:5\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:8\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.3\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:2.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:4\n_p1:4\n_p2:32\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:8\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:25\n_p2:20\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:4\nY:4.3\nr0:0.0 r1:0.5 r2:0.2 r3:0.2 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V:0\nX:\n_p0:8\n_p1:25\n_p2:1\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:80\nY:4.3\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:1\n_p5:16\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.6\nr0:0.0 r1:0.3 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:100\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:7.3\nr0:0.0 r1:0.4 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:10\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.6\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:8\n_p1:4\n_p2:16\n_p3:32\n_p4:1\n_p5:16\n_p6:c\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:4\n_p12:1\nY:2.9\nr0:0.0 r1:0.3 r2:0.3 r3:0.1 V:1\nX:\n_p0:8\n_p1:10\n_p2:10\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:c\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:8\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:1\n_p6:o\n_p7:c\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:20\n_p6:o\n_p7:o\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:2\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:2.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:8\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:25\n_p6:o\n_p7:f\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:25\n_p6:o\n_p7:f\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:32\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.7\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:8\n_p1:10\n_p2:10\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:4\n_p11:1\n_p12:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:1\n_p5:5\n_p6:o\n_p7:f\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:5\n_p2:10\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:8\nY:4.3\nr0:0.0 r1:0.3 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:2.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:1\n_p2:20\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:4\n_p11:100\n_p12:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:16\n_p4:1\n_p5:16\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.6\nr0:0.0 r1:0.4 r2:0.1 r3:0.0 V:1\nTY:3.3\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[400],double x2[400],double y_1[400],double y_2[400],double A[400][400])\n{\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 400; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 400; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:2.9\nr0:0.1 r1:0.0 r2:0 r3:0.0 V:1\nX:\n_p0:4\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:4\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:16\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:4.9\nr0:0.2 r1:0.4 r2:0.2 r3:0.7 V:1\nX:\n_p0:16\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:4\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:32\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:32\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:10\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:400\n_p7:1\nY:5.9\nr0:0.4 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:10\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:1\nY:7.0\nr0:0.4 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:5\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:8\n_p7:1\nY:7.1\nr0:0.3 r1:2.0 r2:1.1 r3:3.2 V:0\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:4\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:32\n_p1:16\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:8\n_p7:400\nY:5.9\nr0:0.5 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:8\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:4.9\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:16\n_p1:16\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:4\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:8\n_p7:1\nY:5.9\nr0:0.4 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:2\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:6.6\nr0:0.3 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:8\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:7.2\nr0:1.0 r1:1.2 r2:0.7 r3:2.6 V:0\nX:\n_p0:2\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:8\n_p7:1\nY:5.6\nr0:0.5 r1:0.0 r2:0.0 r3:0.1 V:1\nX:\n_p0:25\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:2\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:2\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:2\n_p7:8\nY:6.6\nr0:0.1 r1:0.9 r2:0.5 r3:1.3 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:5\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:6.9\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:16\n_p1:16\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:10\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:400\nY:6.3\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:16\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:1\nX:\n_p0:1\n_p1:2\n_p2:8\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:6.0\nr0:0.1 r1:0.9 r2:0.5 r3:1.3 V:0\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:20\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:4.9\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:16\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:5.9\nr0:0.4 r1:0.4 r2:0.3 r3:0.7 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:400\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:4\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:2\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:5.6\nr0:0.2 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:5\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:5.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:5\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:7.3\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:3.2\nr0:0.3 r1:0.0 r2:0.0 r3:0.0 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V:0\nX:\n_p0:25\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:8\n_p7:1\nY:6.4\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:5\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:2\n_p7:1\nY:5.1\nr0:0.2 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:2\n_p7:400\nY:6.3\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:400\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:4\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:25\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.5\nr0:0.3 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:16\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:5.0\nr0:0.3 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:400\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:25\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:5.1\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:5\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:10\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:32\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:5\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:4.3\nr0:1.0 r1:1.5 r2:0.9 r3:3.2 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:400\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:400\nY:7.2\nr0:0.5 r1:0.1 r2:0.1 r3:0.1 V:1\nX:\n_p0:2\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:8\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:4.7\nr0:1.1 r1:1.5 r2:0.9 r3:3.2 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.8\nr0:0.4 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:2\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:2\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:25\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:4.4\nr0:0.3 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:5\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:4\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:400\nY:7.1\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.6\nr0:0.2 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:400\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:400\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:2\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.1\nr0:0.2 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:16\n_p1:1\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:4\n_p7:1\nY:6.6\nr0:0.0 r1:0.6 r2:0.3 r3:0.7 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:10\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:1\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:10\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:4.9\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nTY:5.6\nTV:1\n", "outputs":"### outputs: _p0:2\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:8\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_trmm(double alpha,double A[60][60],double B[60][80])\n{\n//BLAS parameters\n//SIDE   = 'L'\n//UPLO   = 'L'\n//TRANSA = 'T'\n//DIAG   = 'U'\n// => Form  B := alpha*A**T*B.\n// A is MxM\n// B is MxN\n  \n#pragma ACCEL PIPELINE auto{_p3}\n  \n#pragma ACCEL TILE FACTOR=auto{_p5}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (int i = 0; i < 60; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p4}\n    \n#pragma ACCEL TILE FACTOR=auto{_p6}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (int j = 0; j < 80; j++) {\n      double sum = B[i][j];\n#pragma ACCEL PARALLEL reduction=sum FACTOR=auto{_p2}\n      for (int k = 0; k < 60; k++) {\n        if (k > i) {\n          sum += A[k][i] * B[k][j];\n        }\n      }\n      B[i][j] = alpha * sum;\n    }\n  }\n}\n ```\nX:\n_p0:3\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.8\nr0:0.0 r1:1.2 r2:5.3 r3:2.3 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:o\n_p4:c\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:16\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.5\nr0:0.0 r1:1.7 r2:5.8 r3:3.0 V:0\nX:\n_p0:3\n_p1:2\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.3\nr0:0.0 r1:0.4 r2:4.7 r3:0.6 V:0\nX:\n_p0:4\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.6\nr0:0 r1:2.0 r2:9.3 r3:3.7 V:0\nX:\n_p0:1\n_p1:10\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:8\nY:8.5\nr0:0 r1:0.6 r2:0.3 r3:1.0 V:0\nX:\n_p0:1\n_p1:5\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:8.2\nr0:0.0 r1:0.3 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:20\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:8.6\nr0:0 r1:1.2 r2:0.7 r3:1.9 V:0\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:8.7\nr0:0.0 r1:0.5 r2:0.3 r3:0.8 V:1\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.5\nr0:0 r1:0.6 r2:0.3 r3:1.0 V:0\nX:\n_p0:1\n_p1:10\n_p2:32\n_p3:o\n_p4:o\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:5.0\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.6\nr0:0 r1:1.2 r2:0.7 r3:1.9 V:0\nX:\n_p0:2\n_p1:5\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:9.8\nr0:0.0 r1:0.6 r2:1.8 r3:1.0 V:0\nX:\n_p0:1\n_p1:5\n_p2:8\n_p3:o\n_p4:c\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:4.9\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:3\n_p1:4\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:30\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:5.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:5.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:10.1\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:4.9\nr0:0.1 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:c\n_p5:60\n_p6:1\nY:10.1\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:4.0\nr0:0.0 r1:0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:o\n_p4:o\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:3\n_p1:10\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:10\n_p3:o\n_p4:o\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:80\n_p2:1\n_p3:o\n_p4:f\n_p5:2\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:c\n_p4:c\n_p5:1\n_p6:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:8.7\nr0:0.0 r1:0.5 r2:0.3 r3:0.8 V:1\nX:\n_p0:1\n_p1:20\n_p2:16\n_p3:o\n_p4:c\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:8.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.4 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.4 V:1\nX:\n_p0:1\n_p1:5\n_p2:32\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:12\n_p3:o\n_p4:c\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:5.0\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:o\n_p4:c\n_p5:1\n_p6:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:4.3\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:2.7\nr0:0.0 r1:0 r2:0 r3:0 V:1\nX:\n_p0:2\n_p1:4\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:5.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:10\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:8.5\nr0:0 r1:0.6 r2:0.3 r3:1.0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:4.2\nr0:0.0 r1:0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:80\n_p2:16\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:8.7\nr0:0.0 r1:0.9 r2:0.6 r3:1.5 V:0\nX:\n_p0:15\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:2\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:4.5\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:2\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:4.9\nr0:0.1 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:32\n_p2:60\n_p3:c\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:5.0\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:16\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:32\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nTY:8.6\nTV:0\n", "outputs":"### outputs: _p0:1\n_p1:20\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_covariance(int m,int n,double float_n,double data[100][80],double cov[80][80],double mean[80])\n{\n  int i;\n  int j;\n  int k;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p6}\n  \n#pragma ACCEL TILE FACTOR=auto{_p10}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (j = 0; j < 80; j++) {\n    mean[j] = 0.0;\n    \n#pragma ACCEL PARALLEL reduction=mean FACTOR=auto{_p3}\n    for (i = 0; i < 100; i++) {\n      mean[j] += data[i][j];\n    }\n    mean[j] /= float_n;\n  }\n  \n#pragma ACCEL PIPELINE auto{_p7}\n  \n#pragma ACCEL TILE FACTOR=auto{_p11}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 100; i++) {\n    \n#pragma ACCEL PARALLEL reduction=data FACTOR=auto{_p4}\n    for (j = 0; j < 80; j++) {\n      data[i][j] -= mean[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    for (j = i; j < 80; j++) {\n      cov[i][j] = 0.0;\n      \n#pragma ACCEL PARALLEL reduction=cov FACTOR=auto{_p5}\n      for (k = 0; k < 100; k++) {\n        cov[i][j] += data[k][i] * data[k][j];\n      }\n      cov[i][j] /= float_n - 1.0;\n      cov[j][i] = cov[i][j];\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:2\n_p1:1\n_p2:32\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:100\n_p12:1\nY:4.6\nr0:0.0 r1:0.6 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:8\n_p12:1\nY:1.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:1\n_p5:100\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:5\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.2\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:1\n_p5:20\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:1\n_p5:25\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.9\nr0:0.0 r1:0.6 r2:0.7 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:32\n_p6:o\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:4\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:20\n_p6:f\n_p7:f\n_p8:c\n_p9:c\n_p10:1\n_p11:2\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:1\n_p2:32\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:100\n_p12:2\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.3\nr0:0.0 r1:0.3 r2:0.1 r3:0.2 V:1\nX:\n_p0:8\n_p1:2\n_p2:4\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:8\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:5\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.2\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:2\n_p12:1\nY:1.4\nr0:0.0 r1:0.2 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:25\n_p6:f\n_p7:f\n_p8:o\n_p9:c\n_p10:1\n_p11:2\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:1\n_p2:10\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:8\n_p11:100\n_p12:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:4\n_p2:1\n_p3:32\n_p4:1\n_p5:16\n_p6:c\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.8\nr0:0.0 r1:0.5 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:1\n_p4:1\n_p5:4\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:2\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:8\n_p11:8\n_p12:1\nY:3.6\nr0:0.0 r1:0.6 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:25\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:5\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.2\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:1\n_p4:1\n_p5:8\n_p6:f\n_p7:f\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:16\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:3.9\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:25\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[200][240],double ey[200][240],double hz[200][240],double _fict_[100])\n{\n  int t;\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 100; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 240; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 0; j < 240; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (i = 0; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n      for (j = 1; j < 240; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 200 - 1; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 240 - 1; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.4 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:199\n_p14:1\n_p15:199\nY:3.4\nr0:0.6 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.5 r1:0.9 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:16\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.6 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.5 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.3 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:10\n_p6:1\n_p7:16\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:2.1\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:4\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:4\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.6 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:8\n_p8:o\n_p9:f\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:8\n_p8:o\n_p9:o\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:199\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:2.0\nr0:0.6 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:16\n_p8:o\n_p9:f\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:32\n_p1:32\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:8\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.3\nr0:0.6 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:200\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:199\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:1\n_p7:239\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:32\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:25\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:1\n_p6:1\n_p7:8\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:8\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.3\nr0:0.5 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:239\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:32\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:32\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.4\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:1\n_p7:4\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.5 r1:0.6 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.8\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:8\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.5 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:10\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:239\n_p7:16\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.2\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.6 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:8\n_p1:16\n_p2:199\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:4\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:32\n_p6:32\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.4\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:32\n_p7:8\n_p8:o\n_p9:o\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:0.5\nTV:0\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_2mm(int ni,int nj,int nk,int nl,double alpha,double beta,double tmp[40][50],double A[40][70],double B[70][50],double C[50][80],double D[40][80])\n{\n  int i;\n  int j;\n  int k;\n  \n#pragma ACCEL PIPELINE auto{_p6}\n  \n#pragma ACCEL TILE FACTOR=auto{_p10}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 40; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p8}\n    \n#pragma ACCEL TILE FACTOR=auto{_p12}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (j = 0; j < 50; j++) {\n      tmp[i][j] = 0.0;\n      \n#pragma ACCEL PARALLEL reduction = tmp FACTOR=auto{_p4}\n      for (k = 0; k < 70; ++k) {\n        tmp[i][j] += alpha * A[i][k] * B[k][j];\n      }\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p7}\n  \n#pragma ACCEL TILE FACTOR=auto{_p11}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 40; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (j = 0; j < 80; j++) {\n      D[i][j] *= beta;\n      \n#pragma ACCEL PARALLEL reduction = D FACTOR=auto{_p5}\n      for (k = 0; k < 50; ++k) {\n        D[i][j] += tmp[i][k] * C[k][j];\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:32\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:7\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:2.9 r2:1.9 r3:6.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:2\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.6\nr0:0.0 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.2\nr0:0.0 r1:0.0 r2:0 r3:0.0 V:1\nX:\n_p0:1\n_p1:20\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:2\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:7\n_p5:1\n_p6:o\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.6\nr0:0.0 r1:2.8 r2:1.9 r3:6.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:70\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.2\nr0:0.0 r1:0.0 r2:0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:5\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:10.3\nr0:0.0 r1:2.5 r2:1.6 r3:5.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:16\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:5\n_p4:1\n_p5:50\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:10.3\nr0:0.0 r1:2.5 r2:1.6 r3:5.7 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V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:50\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:10.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:1\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.6\nr0:0.0 r1:2.8 r2:1.9 r3:6.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:5\n_p4:14\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:6.1\nr0:0.0 r1:0.2 r2:0.1 r3:0.4 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:1\n_p5:1\n_p6:o\n_p7:f\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:11.3\nr0:0.0 r1:2.9 r2:1.9 r3:6.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:25\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.6\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:40\n_p11:8\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.4\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:10.8\nr0:0.0 r1:2.5 r2:1.6 r3:5.7 V:0\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:80\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:40\n_p11:1\n_p12:1\n_p13:1\nY:3.7\nr0:0.0 r1:2.9 r2:1.9 r3:6.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:40\n_p12:8\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:2\n_p12:8\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:5.8\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:4\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_covariance(int m,int n,double float_n,double data[100][80],double cov[80][80],double mean[80])\n{\n  int i;\n  int j;\n  int k;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p6}\n  \n#pragma ACCEL TILE FACTOR=auto{_p10}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (j = 0; j < 80; j++) {\n    mean[j] = 0.0;\n    \n#pragma ACCEL PARALLEL reduction=mean FACTOR=auto{_p3}\n    for (i = 0; i < 100; i++) {\n      mean[j] += data[i][j];\n    }\n    mean[j] /= float_n;\n  }\n  \n#pragma ACCEL PIPELINE auto{_p7}\n  \n#pragma ACCEL TILE FACTOR=auto{_p11}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 100; i++) {\n    \n#pragma ACCEL PARALLEL reduction=data FACTOR=auto{_p4}\n    for (j = 0; j < 80; j++) {\n      data[i][j] -= mean[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    for (j = i; j < 80; j++) {\n      cov[i][j] = 0.0;\n      \n#pragma ACCEL PARALLEL reduction=cov FACTOR=auto{_p5}\n      for (k = 0; k < 100; k++) {\n        cov[i][j] += data[k][i] * data[k][j];\n      }\n      cov[i][j] /= float_n - 1.0;\n      cov[j][i] = cov[i][j];\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:8\n_p1:2\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:4\n_p11:8\n_p12:1\nY:3.6\nr0:0.0 r1:0.6 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.6\nr0:0.0 r1:0.5 r2:0.2 r3:0.2 V:1\nX:\n_p0:8\n_p1:2\n_p2:10\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:4\n_p11:1\n_p12:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:2\n_p2:10\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:8\n_p11:1\n_p12:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:1\n_p5:20\n_p6:f\n_p7:f\n_p8:c\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:20\n_p6:f\n_p7:o\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:8\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:1\n_p4:1\n_p5:100\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:32\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:2\n_p12:1\nY:3.3\nr0:0.0 r1:0.3 r2:0.2 r3:0.1 V:1\nX:\n_p0:8\n_p1:10\n_p2:1\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:8\n_p11:1\n_p12:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:2\n_p12:1\nY:3.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.1 V:1\nX:\n_p0:8\n_p1:2\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:8\n_p12:80\nY:3.6\nr0:0.0 r1:0.8 r2:0.3 r3:0.4 V:1\nX:\n_p0:8\n_p1:2\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:c\n_p9:c\n_p10:1\n_p11:8\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:25\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.7\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:8\n_p6:f\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:1\n_p5:5\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.2\nr0:0.0 r1:0.2 r2:0.2 r3:0.0 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V:0\nX:\n_p0:4\n_p1:1\n_p2:32\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:2\n_p11:100\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:1\n_p6:f\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:25\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.0\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:100\n_p6:f\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:5.2\nr0:0.1 r1:0.3 r2:0.1 r3:0.1 V:1\nX:\n_p0:2\n_p1:1\n_p2:10\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:8\n_p11:100\n_p12:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:16\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:25\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:5\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.2\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:8\n_p1:20\n_p2:32\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:4\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:10\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:100\n_p6:f\n_p7:f\n_p8:o\n_p9:c\n_p10:1\n_p11:2\n_p12:1\nY:3.7\nr0:0.1 r1:0.4 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:1.5\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:10\n_p6:o\n_p7:o\n_p8:c\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:10\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.7\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:2\n_p1:1\n_p2:20\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:100\n_p12:4\nY:4.3\nr0:0.0 r1:0.5 r2:0.2 r3:0.2 V:1\nX:\n_p0:32\n_p1:1\n_p2:1\n_p3:32\n_p4:1\n_p5:16\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:20\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:2\n_p12:1\nY:3.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:1\n_p4:1\n_p5:20\n_p6:f\n_p7:f\n_p8:c\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:o\n_p9:c\n_p10:1\n_p11:4\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:4\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.2\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.3\nr0:0.0 r1:0.3 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:32\n_p6:f\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:100\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:4\n_p2:20\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:8\n_p12:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:10\n_p2:10\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:8\nY:4.3\nr0:0.0 r1:0.4 r2:0.2 r3:0.2 V:1\nTY:3.5\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:32\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:2\n_p12:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_trmm(double alpha,double A[60][60],double B[60][80])\n{\n//BLAS parameters\n//SIDE   = 'L'\n//UPLO   = 'L'\n//TRANSA = 'T'\n//DIAG   = 'U'\n// => Form  B := alpha*A**T*B.\n// A is MxM\n// B is MxN\n  \n#pragma ACCEL PIPELINE auto{_p3}\n  \n#pragma ACCEL TILE FACTOR=auto{_p5}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (int i = 0; i < 60; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p4}\n    \n#pragma ACCEL TILE FACTOR=auto{_p6}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (int j = 0; j < 80; j++) {\n      double sum = B[i][j];\n#pragma ACCEL PARALLEL reduction=sum FACTOR=auto{_p2}\n      for (int k = 0; k < 60; k++) {\n        if (k > i) {\n          sum += A[k][i] * B[k][j];\n        }\n      }\n      B[i][j] = alpha * sum;\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:4.9\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:4.3\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:2\n_p1:5\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:9.8\nr0:0.0 r1:0.6 r2:1.8 r3:1.0 V:0\nX:\n_p0:2\n_p1:2\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:4\nY:8.6\nr0:0 r1:1.2 r2:0.7 r3:1.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:4.2\nr0:0.0 r1:0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:80\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:8.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.4 V:1\nX:\n_p0:1\n_p1:1\n_p2:30\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:5.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:2\n_p1:2\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:c\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:8.5\nr0:0 r1:0.6 r2:0.3 r3:1.0 V:0\nX:\n_p0:1\n_p1:4\n_p2:60\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:8.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.4 V:1\nX:\n_p0:1\n_p1:4\n_p2:12\n_p3:o\n_p4:c\n_p5:60\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.2\nr0:0.0 r1:0.3 r2:0.2 r3:0.5 V:1\nX:\n_p0:4\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.6\nr0:0 r1:2.0 r2:9.3 r3:3.7 V:0\nX:\n_p0:5\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:2\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:15\n_p3:o\n_p4:c\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:4.4\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:8\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:4.9\nr0:0.1 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:2\n_p1:20\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.3\nr0:0 r1:2.1 r2:7.3 r3:3.8 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:4.8\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:5.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:4.5\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:2\n_p2:30\n_p3:o\n_p4:c\n_p5:60\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:3\n_p1:4\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:3\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.8\nr0:0.0 r1:1.2 r2:5.3 r3:2.3 V:0\nX:\n_p0:10\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.9\nr0:0 r1:3.6 r2:16.1 r3:7.1 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:8.5\nr0:0 r1:0.6 r2:0.3 r3:1.0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:c\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:8.7\nr0:0.0 r1:0.9 r2:0.6 r3:1.5 V:0\nX:\n_p0:2\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.7\nr0:0 r1:1.1 r2:3.6 r3:1.9 V:0\nX:\n_p0:1\n_p1:80\n_p2:4\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:12\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.0\nr0:0.0 r1:4.2 r2:17.6 r3:8.4 V:0\nX:\n_p0:1\n_p1:10\n_p2:5\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:4.3\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:80\n_p2:1\n_p3:o\n_p4:f\n_p5:2\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:5\n_p3:o\n_p4:c\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.6\nr0:0 r1:1.2 r2:0.7 r3:1.9 V:0\nX:\n_p0:4\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.6\nr0:0.0 r1:1.6 r2:7.4 r3:3.0 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:5.0\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:2.7\nr0:0.0 r1:0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:5.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:2\n_p3:o\n_p4:c\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:o\n_p4:c\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:3\n_p1:16\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.7\nr0:0.0 r1:0.9 r2:0.6 r3:1.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:5.0\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:20\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:4\nY:8.6\nr0:0 r1:1.2 r2:0.7 r3:1.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:2.7\nr0:0.0 r1:0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:4.9\nr0:0.1 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:3\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.4\nr0:0.0 r1:1.5 r2:6.6 r3:2.8 V:0\nX:\n_p0:20\n_p1:1\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:2\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:3\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:2\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:30\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:5.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:c\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:3.9\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:2\n_p1:4\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.1\nr0:0.0 r1:0.5 r2:2.6 r3:0.8 V:0\nX:\n_p0:6\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.1\nr0:0 r1:2.3 r2:11.0 r3:4.4 V:0\nX:\n_p0:3\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:8.7\nr0:0.0 r1:0.5 r2:0.3 r3:0.8 V:1\nX:\n_p0:3\n_p1:4\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.6\nr0:0.0 r1:0.7 r2:5.0 r3:1.1 V:0\nX:\n_p0:1\n_p1:20\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:4.0\nr0:0.0 r1:0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:5.0\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:3\n_p1:2\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.3\nr0:0.0 r1:0.4 r2:4.7 r3:0.6 V:0\nX:\n_p0:1\n_p1:4\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:8.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.4 V:1\nX:\n_p0:60\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:3.9\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nTY:4.9\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:12\n_p3:o\n_p4:o\n_p5:60\n_p6:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_trmm(double alpha,double A[60][60],double B[60][80])\n{\n//BLAS parameters\n//SIDE   = 'L'\n//UPLO   = 'L'\n//TRANSA = 'T'\n//DIAG   = 'U'\n// => Form  B := alpha*A**T*B.\n// A is MxM\n// B is MxN\n  \n#pragma ACCEL PIPELINE auto{_p3}\n  \n#pragma ACCEL TILE FACTOR=auto{_p5}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (int i = 0; i < 60; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p4}\n    \n#pragma ACCEL TILE FACTOR=auto{_p6}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (int j = 0; j < 80; j++) {\n      \n#pragma ACCEL PARALLEL reduction=B FACTOR=auto{_p2}\n      for (int k = 0; k < 60; k++) {\n        if (k > i) {\n          B[i][j] += A[k][i] * B[k][j];\n        }\n      }\n      B[i][j] = alpha * B[i][j];\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:2\n_p2:30\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.2\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.2\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.2\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.2\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:20\n_p2:5\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:2\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nTY:1.3\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:10\n_p3:o\n_p4:o\n_p5:1\n_p6:80\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[120], double x2[120], double y_1[120], double y_2[120], double A[120][120])\n{\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 120; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 120; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:8\n_p1:1\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:4\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:4\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:11.3\nr0:0.0 r1:0.5 r2:0.3 r3:0.8 V:1\nX:\n_p0:2\n_p1:24\n_p2:1\n_p3:20\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:11.2\nr0:0.0 r1:0.5 r2:0.4 r3:0.6 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:3\n_p1:1\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:4\n_p7:120\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:4\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:12\n_p1:1\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:1\n_p7:120\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:120\n_p7:1\nY:8.7\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:1\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:2\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:120\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.9\nr0:0.1 r1:0.4 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:4\n_p2:20\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:9.5\nr0:0.0 r1:0.4 r2:0.2 r3:0.8 V:1\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:15\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.0\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:10\n_p2:8\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:8.5\nr0:0.0 r1:1.0 r2:0.6 r3:1.9 V:0\nX:\n_p0:4\n_p1:8\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:120\n_p7:4\nY:10.6\nr0:0.1 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:6\n_p2:1\n_p3:6\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:9.2\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:15\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.6\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:8\n_p1:2\n_p2:32\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:4\nY:9.1\nr0:0.1 r1:0.1 r2:0.1 r3:0.1 V:1\nX:\n_p0:8\n_p1:2\n_p2:32\n_p3:1\n_p4:c\n_p5:f\n_p6:4\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:15\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:4\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:4\n_p2:24\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:8\nY:10.6\nr0:0.0 r1:1.0 r2:0.7 r3:1.2 V:0\nX:\n_p0:8\n_p1:10\n_p2:32\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:8\nY:8.0\nr0:0.0 r1:1.1 r2:0.6 r3:2.2 V:0\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:20\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:10.3\nr0:0.1 r1:0.4 r2:0.3 r3:0.4 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:120\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:11.2\nr0:0.1 r1:0.5 r2:0.2 r3:0.2 V:1\nX:\n_p0:8\n_p1:1\n_p2:8\n_p3:15\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:9.6\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:2\n_p1:8\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:4\nY:10.6\nr0:0.0 r1:1.0 r2:0.6 r3:1.9 V:0\nX:\n_p0:8\n_p1:1\n_p2:8\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:12\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:120\n_p7:1\nY:9.0\nr0:0.0 r1:1.2 r2:0.7 r3:2.3 V:0\nX:\n_p0:8\n_p1:3\n_p2:32\n_p3:1\n_p4:c\n_p5:f\n_p6:8\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:2\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:2\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:32\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:2\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:2\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:3\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:2\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:4\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:4\n_p7:4\nY:10.0\nr0:0.0 r1:0.6 r2:0.3 r3:0.8 V:0\nX:\n_p0:1\n_p1:20\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:120\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:1\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:120\nY:9.7\nr0:0.0 r1:2.0 r2:1.1 r3:3.8 V:0\nX:\n_p0:4\n_p1:1\n_p2:10\n_p3:10\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.3\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:1\n_p4:c\n_p5:f\n_p6:120\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:12\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:16\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:8\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:12\n_p4:c\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:24\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:9.7\nr0:0.0 r1:0.3 r2:0.1 r3:0.4 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:10\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:2\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:12\n_p2:1\n_p3:6\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:10.1\nr0:0.1 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:8\n_p2:4\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:8.7\nr0:0.0 r1:0.8 r2:0.4 r3:1.5 V:0\nX:\n_p0:8\n_p1:16\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:1\n_p7:1\nY:8.7\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:10\n_p2:6\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:8.4\nr0:0.0 r1:1.0 r2:0.6 r3:1.9 V:0\nX:\n_p0:8\n_p1:32\n_p2:32\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:4\n_p4:c\n_p5:o\n_p6:1\n_p7:1\nY:7.3\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:3\n_p2:20\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:8.0\nr0:0.0 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:3\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:120\n_p7:4\nY:8.4\nr0:0.1 r1:0.4 r2:0.2 r3:0.8 V:1\nX:\n_p0:8\n_p1:5\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:2\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:30\n_p3:4\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.9\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:2\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:8\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:24\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.0\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:1\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:6.3\nr0:0.1 r1:0.0 r2:0 r3:0.0 V:1\nX:\n_p0:8\n_p1:8\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:6\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.8\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:6\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:8\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:8\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:9.2\nr0:0.0 r1:0.8 r2:0.4 r3:1.5 V:0\nX:\n_p0:8\n_p1:4\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:120\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:24\n_p3:6\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:8.6\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:20\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:120\n_p7:1\nY:9.0\nr0:0.1 r1:0.1 r2:0.1 r3:0.1 V:1\nTY:6.7\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:3\n_p3:2\n_p4:o\n_p5:o\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_syr2k(double alpha,double beta,double C[80][80],double A[80][60],double B[80][60])\n{\n  int i;\n  int j;\n  int k;\n//BLAS PARAMS\n//UPLO  = 'L'\n//TRANS = 'N'\n//A is NxM\n//B is NxM\n//C is NxN\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      if (j <= i) {\n        C[i][j] *= beta;\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p5}\n    \n#pragma ACCEL TILE FACTOR=auto{_p7}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (k = 0; k < 60; k++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        if (j <= i) {\n          C[i][j] += A[j][k] * alpha * B[i][k] + B[j][k] * alpha * A[i][k];\n        }\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:1\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:3\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.1 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:6\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:4\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.8\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:5.1\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:8\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:5\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:3\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:2\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:6\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.4\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:2.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:5\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.5\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nTY:5.4\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:3\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_covariance(int m,int n,double float_n,double data[100][80],double cov[80][80],double mean[80])\n{\n  int i;\n  int j;\n  int k;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p6}\n  \n#pragma ACCEL TILE FACTOR=auto{_p10}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (j = 0; j < 80; j++) {\n    mean[j] = 0.0;\n    \n#pragma ACCEL PARALLEL reduction=mean FACTOR=auto{_p3}\n    for (i = 0; i < 100; i++) {\n      mean[j] += data[i][j];\n    }\n    mean[j] /= float_n;\n  }\n  \n#pragma ACCEL PIPELINE auto{_p7}\n  \n#pragma ACCEL TILE FACTOR=auto{_p11}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 100; i++) {\n    \n#pragma ACCEL PARALLEL reduction=data FACTOR=auto{_p4}\n    for (j = 0; j < 80; j++) {\n      data[i][j] -= mean[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    for (j = i; j < 80; j++) {\n      cov[i][j] = 0.0;\n      \n#pragma ACCEL PARALLEL reduction=cov FACTOR=auto{_p5}\n      for (k = 0; k < 100; k++) {\n        cov[i][j] += data[k][i] * data[k][j];\n      }\n      cov[i][j] /= float_n - 1.0;\n      cov[j][i] = cov[i][j];\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.2\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:8\n_p1:20\n_p2:1\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:2\n_p11:1\n_p12:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:4\n_p2:1\n_p3:32\n_p4:1\n_p5:16\n_p6:c\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:4\n_p2:10\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:8\nY:4.3\nr0:0.0 r1:0.3 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:10\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.7\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:8\n_p1:2\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:8\n_p12:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:1\n_p5:25\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:4\n_p6:f\n_p7:o\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:10\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.7\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:8\n_p12:1\nY:3.3\nr0:0.0 r1:0.3 r2:0.1 r3:0.1 V:1\nX:\n_p0:8\n_p1:2\n_p2:20\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:4\nY:4.3\nr0:0.0 r1:0.4 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:8\n_p6:o\n_p7:o\n_p8:c\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:8\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.3\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:5\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:2\n_p12:1\nY:3.2\nr0:0.1 r1:0.3 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:2\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:2.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nTY:3.3\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:25\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:2\n_p12:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[120], double x2[120], double y_1[120], double y_2[120], double A[120][120])\n{\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 120; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 120; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:30\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:1\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:2\n_p7:120\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:3\n_p2:10\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.9\nr0:0.0 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:24\n_p3:2\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:4\n_p1:16\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:10.7\nr0:0.0 r1:1.7 r2:1.0 r3:3.1 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:20\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:9.3\nr0:0.2 r1:0.2 r2:0.2 r3:0.3 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:6\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.3\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:8\n_p1:5\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.0\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:30\n_p2:1\n_p3:3\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:9.2\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:4\n_p1:8\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:5\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:4\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:8.6\nr0:0.0 r1:0.8 r2:0.4 r3:1.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:6\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:4\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.0\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:2\n_p1:1\n_p2:12\n_p3:30\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:20\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:8.6\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:8\n_p1:12\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:2\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:12\n_p2:1\n_p3:24\n_p4:f\n_p5:c\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:1\n_p2:12\n_p3:15\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.7\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:15\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:9.8\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:4\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.4\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:16\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:9.4\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:8\n_p1:2\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:8\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:6\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:24\n_p2:1\n_p3:20\n_p4:f\n_p5:c\n_p6:8\n_p7:1\nY:11.0\nr0:0.0 r1:0.8 r2:0.6 r3:1.2 V:0\nX:\n_p0:8\n_p1:20\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:3\n_p2:8\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.9\nr0:0.0 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:6\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:10.2\nr0:0.1 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:30\n_p3:10\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:8.3\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 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V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:15\n_p4:c\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:20\n_p1:2\n_p2:24\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:11.3\nr0:0.0 r1:0.4 r2:0.2 r3:0.4 V:1\nX:\n_p0:2\n_p1:1\n_p2:8\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.8\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:32\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:30\n_p2:1\n_p3:16\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:30\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:10.4\nr0:0.1 r1:0.2 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:24\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:2\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:1\n_p7:4\nY:8.4\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:30\n_p3:5\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:8.0\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:20\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:16\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:2\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:1\n_p4:c\n_p5:f\n_p6:120\n_p7:120\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:30\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.4\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:2\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:11.3\nr0:0.0 r1:0.5 r2:0.3 r3:0.8 V:1\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:1\n_p4:c\n_p5:f\n_p6:120\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:15\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:9.3\nr0:0.1 r1:0.2 r2:0.1 r3:0.3 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:4\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:10.1\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:8\n_p1:1\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:8\nY:9.1\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:2\n_p1:1\n_p2:10\n_p3:24\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.4\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nTY:11.3\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_trmm(double alpha,double A[60][60],double B[60][80])\n{\n//BLAS parameters\n//SIDE   = 'L'\n//UPLO   = 'L'\n//TRANSA = 'T'\n//DIAG   = 'U'\n// => Form  B := alpha*A**T*B.\n// A is MxM\n// B is MxN\n  \n#pragma ACCEL PIPELINE auto{_p3}\n  \n#pragma ACCEL TILE FACTOR=auto{_p5}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (int i = 0; i < 60; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p4}\n    \n#pragma ACCEL TILE FACTOR=auto{_p6}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (int j = 0; j < 80; j++) {\n      double sum = B[i][j];\n#pragma ACCEL PARALLEL reduction=sum FACTOR=auto{_p2}\n      for (int k = 0; k < 60; k++) {\n        if (k > i) {\n          sum += A[k][i] * B[k][j];\n        }\n      }\n      B[i][j] = alpha * sum;\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:16\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:8.7\nr0:0.0 r1:0.9 r2:0.6 r3:1.5 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V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:3\n_p1:4\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.6\nr0:0.0 r1:0.7 r2:5.0 r3:1.1 V:0\nX:\n_p0:4\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.6\nr0:0 r1:2.0 r2:9.3 r3:3.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:4.0\nr0:0.0 r1:0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:4.2\nr0:0.0 r1:0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:4.9\nr0:0.1 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:4\n_p1:16\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.7\nr0:0.0 r1:3.1 r2:14.8 r3:6.0 V:0\nX:\n_p0:5\n_p1:1\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:80\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:8\n_p3:o\n_p4:c\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.7\nr0:0 r1:1.1 r2:3.6 r3:1.9 V:0\nX:\n_p0:1\n_p1:8\n_p2:3\n_p3:o\n_p4:c\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.6\nr0:0.0 r1:1.6 r2:7.4 r3:3.0 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:5.0\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:2\n_p2:32\n_p3:o\n_p4:o\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:30\n_p3:o\n_p4:c\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:6\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.1\nr0:0 r1:2.3 r2:11.0 r3:4.4 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:3\n_p1:32\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:16\n_p3:o\n_p4:c\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:4.2\nr0:0.0 r1:0 r2:0 r3:0 V:1\nTY:8.6\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:4\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_covariance(int m,int n,double float_n,double data[100][80],double cov[80][80],double mean[80])\n{\n  int i;\n  int j;\n  int k;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p6}\n  \n#pragma ACCEL TILE FACTOR=auto{_p10}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (j = 0; j < 80; j++) {\n    mean[j] = 0.0;\n    \n#pragma ACCEL PARALLEL reduction=mean FACTOR=auto{_p3}\n    for (i = 0; i < 100; i++) {\n      mean[j] += data[i][j];\n    }\n    mean[j] /= float_n;\n  }\n  \n#pragma ACCEL PIPELINE auto{_p7}\n  \n#pragma ACCEL TILE FACTOR=auto{_p11}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 100; i++) {\n    \n#pragma ACCEL PARALLEL reduction=data FACTOR=auto{_p4}\n    for (j = 0; j < 80; j++) {\n      data[i][j] -= mean[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    for (j = i; j < 80; j++) {\n      cov[i][j] = 0.0;\n      \n#pragma ACCEL PARALLEL reduction=cov FACTOR=auto{_p5}\n      for (k = 0; k < 100; k++) {\n        cov[i][j] += data[k][i] * data[k][j];\n      }\n      cov[i][j] /= float_n - 1.0;\n      cov[j][i] = cov[i][j];\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:1\n_p4:2\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.6\nr0:0.0 r1:0.5 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:8\n_p12:1\nY:3.3\nr0:0.0 r1:0.3 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:8\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:32\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.6\nr0:0.0 r1:0.2 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\nY:7.2\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:32\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:2\n_p2:32\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:8\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:32\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.3\nr0:0.0 r1:0.3 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\nY:7.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:1.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:1\n_p5:4\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:1\n_p5:8\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:16\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:20\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:4\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:25\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:2\n_p12:1\nY:3.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\nY:7.2\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.2\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:1\n_p5:2\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:1\n_p5:4\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:1\n_p5:100\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:10\n_p6:o\n_p7:o\n_p8:c\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\nY:8.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:4\n_p2:10\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:8\nY:4.3\nr0:0.0 r1:0.6 r2:0.2 r3:0.3 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:2\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:2.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:8\n_p1:10\n_p2:32\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.6\nr0:0.0 r1:0.5 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:8\n_p12:1\nY:1.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.3\nr0:0.0 r1:0.3 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:32\n_p4:1\n_p5:16\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:4\n_p12:1\nY:2.2\nr0:0.0 r1:0.3 r2:0.3 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:8\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:80\n_p11:100\n_p12:8\nY:4.3\nr0:0.0 r1:0.4 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:5\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.2\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nTY:4.3\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[400],double x2[400],double y_1[400],double y_2[400],double A[400][400])\n{\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 400; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 400; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:10\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:5.7\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:25\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.1\nr0:0.5 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:25\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:20\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:4\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.2 r1:0.4 r2:0.2 r3:0.7 V:1\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:400\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:25\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:2\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:25\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.6\nr0:0.3 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:20\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:1\nY:5.6\nr0:0.3 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:4\n_p7:1\nY:5.9\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:16\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:400\nY:7.2\nr0:0.5 r1:0.1 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:4\n_p2:32\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:10\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:6.9\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:5\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:8\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:4\nY:7.9\nr0:0.2 r1:1.8 r2:1.0 r3:3.2 V:0\nX:\n_p0:1\n_p1:5\n_p2:20\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:4.7\nr0:1.1 r1:1.5 r2:0.9 r3:3.2 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:10\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.4\nr0:0.2 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:400\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:8.0\nr0:0.2 r1:2.6 r2:1.6 r3:5.1 V:0\nX:\n_p0:10\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:10\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:4.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:16\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:1\nY:6.8\nr0:0.3 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:8\n_p7:1\nY:5.6\nr0:0.5 r1:0.0 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:7.8\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:16\n_p1:16\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:2\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:10\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:1\n_p7:400\nY:7.1\nr0:0.4 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:4\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:4\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:5\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:4.3\nr0:1.0 r1:1.5 r2:0.9 r3:3.2 V:0\nX:\n_p0:4\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:8\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:25\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:8.6\nr0:0.2 r1:0.4 r2:0.2 r3:0.7 V:1\nX:\n_p0:25\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:8\n_p7:400\nY:7.0\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:20\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:4\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.2\nr0:0.2 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:5\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:2\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:32\n_p1:1\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:16\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:4\n_p7:1\nY:5.9\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:25\n_p3:4\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:4.1\nr0:0.2 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:20\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:2\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:5\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.2 r1:0.4 r2:0.2 r3:0.7 V:1\nX:\n_p0:10\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:16\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:4\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:32\n_p1:1\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:25\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:8\n_p7:1\nY:6.4\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:3.6\nr0:0.1 r1:0.9 r2:0.5 r3:1.3 V:0\nX:\n_p0:16\n_p1:20\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:10\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:8\n_p7:400\nY:7.0\nr0:0.4 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:400\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:3.6\nr0:0.1 r1:1.5 r2:0.8 r3:2.6 V:0\nX:\n_p0:5\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:1\nY:5.6\nr0:0.2 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:3.5\nr0:0.2 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:8\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:32\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:400\nY:7.1\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:16\n_p1:10\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:5.9\nr0:0.3 r1:3.3 r2:2.0 r3:6.6 V:0\nX:\n_p0:1\n_p1:1\n_p2:25\n_p3:4\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.1\nr0:0.2 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:5\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:4.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:6.5\nr0:0.2 r1:0.6 r2:0.3 r3:0.6 V:1\nX:\n_p0:8\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:10\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.1\nr0:0.4 r1:0.1 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:4.3\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:16\n_p1:20\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:7.1\nr0:0.5 r1:0.3 r2:0.2 r3:0.7 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:5\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:6.3\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:400\n_p7:1\nY:6.0\nr0:0.2 r1:3.2 r2:2.0 r3:6.4 V:0\nX:\n_p0:20\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:32\n_p1:16\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:8\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:4.5\nr0:1.0 r1:1.5 r2:0.9 r3:3.2 V:0\nTY:5.8\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:10\n_p2:1\n_p3:4\n_p4:f\n_p5:c\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[400],double x2[400],double y_1[400],double y_2[400],double A[400][400])\n{\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 400; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 400; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:20\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:2\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:4\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:5.1\nr0:0.1 r1:1.5 r2:0.8 r3:2.6 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:16\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:7.7\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:4\n_p7:1\nY:1.1\nr0:0.4 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:25\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:2\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:8\n_p7:1\nY:5.8\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:16\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:400\nY:6.3\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:5.3\nr0:0.5 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:10\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:5\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:10\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.6\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:25\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:4.8\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.5\nr0:0.3 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:2\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:3.9\nr0:0.1 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:400\n_p7:8\nY:7.4\nr0:0.2 r1:0.6 r2:0.4 r3:0.7 V:1\nX:\n_p0:1\n_p1:8\n_p2:8\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:6.0\nr0:0.1 r1:2.6 r2:1.5 r3:5.1 V:0\nX:\n_p0:1\n_p1:5\n_p2:2\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:3.8\nr0:1.0 r1:1.5 r2:0.9 r3:3.2 V:0\nX:\n_p0:2\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:8\n_p7:1\nY:7.1\nr0:0.6 r1:0.6 r2:0.4 r3:1.3 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V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:25\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.2\nr0:0.2 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:16\n_p1:2\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:2\n_p7:1\nY:6.7\nr0:0.1 r1:0.9 r2:0.5 r3:1.3 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:2\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:6.1\nr0:0.3 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:8\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:2\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:5.3\nr0:0.3 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:4\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:5\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:4.4\nr0:0.4 r1:0.6 r2:0.4 r3:1.3 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:6.0\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:25\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:4.5\nr0:0.3 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:2\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.7\nr0:0.2 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:5.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:10\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:20\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:6.2\nr0:0.9 r1:0.7 r2:0.4 r3:1.3 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:400\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:16\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:4\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:8\n_p7:1\nY:5.8\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:16\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:400\nY:7.2\nr0:0.5 r1:0.1 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:7.2\nr0:0.5 r1:0.3 r2:0.2 r3:0.7 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:10\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:7.1\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:2\n_p2:10\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:5.3\nr0:0.5 r1:0.6 r2:0.4 r3:1.3 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:2\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:3.9\nr0:0.2 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:5\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:3.1\nr0:1.0 r1:1.5 r2:0.9 r3:3.2 V:0\nX:\n_p0:16\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:4\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:5.9\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[60][80],double ey[60][80],double hz[60][80],double _fict_[40])\n{\n  int t;\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 40; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 60; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 60; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 1; j < 80; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n    for (i = 0; i < 59; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 79; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:59\n_p3:16\n_p4:6\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.6\nr0:0.0 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:79\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:2.9\nr0:0.0 r1:0.5 r2:0.2 r3:0.4 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.5\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:59\n_p14:60\n_p15:8\nY:3.1\nr0:0.1 r1:0.8 r2:0.4 r3:0.7 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V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:60\n_p15:59\nY:6.7\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:79\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.7\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:79\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.5\nr0:0.0 r1:0.6 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:2\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:4\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:79\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:59\n_p14:60\n_p15:59\nY:8.7\nr0:0.0 r1:0.4 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.7\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:c\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.6\nr0:0.0 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:4\n_p3:1\n_p4:2\n_p5:1\n_p6:59\n_p7:1\n_p8:o\n_p9:f\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:8\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:59\n_p3:16\n_p4:30\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.6\nr0:0.0 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:2\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:7.9\nr0:0.0 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:1\n_p8:o\n_p9:f\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:8.1\nr0:0.0 r1:1.3 r2:0.7 r3:0.9 V:0\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:6.7\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:2\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.1\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:4\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:60\n_p15:1\nY:1.5\nr0:0.0 r1:0.7 r2:0.4 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nTY:8.1\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:79\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[120], double x2[120], double y_1[120], double y_2[120], double A[120][120])\n{\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 120; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 120; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:20\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:9.2\nr0:0.2 r1:0.1 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r3:0.0 V:1\nX:\n_p0:12\n_p1:1\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:4\n_p2:24\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:11.3\nr0:0.0 r1:0.6 r2:0.3 r3:0.8 V:1\nX:\n_p0:2\n_p1:30\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:3\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:4\n_p7:8\nY:8.3\nr0:0.0 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:8\n_p1:12\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:4\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.7\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:8\n_p1:12\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:3\n_p1:24\n_p2:1\n_p3:20\n_p4:f\n_p5:c\n_p6:8\n_p7:1\nY:11.0\nr0:0.0 r1:0.6 r2:0.4 r3:0.8 V:0\nX:\n_p0:4\n_p1:30\n_p2:1\n_p3:16\n_p4:f\n_p5:c\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:12\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:8.2\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:15\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.1\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:10\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:10\n_p2:32\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:8.3\nr0:0.0 r1:1.0 r2:0.6 r3:2.0 V:0\nX:\n_p0:1\n_p1:24\n_p2:1\n_p3:6\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:11.1\nr0:0.2 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:6\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:8.6\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:3\n_p2:1\n_p3:2\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:7.9\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nTY:8.7\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:2\n_p2:1\n_p3:2\n_p4:f\n_p5:o\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_trmm(double alpha,double A[60][60],double B[60][80])\n{\n//BLAS parameters\n//SIDE   = 'L'\n//UPLO   = 'L'\n//TRANSA = 'T'\n//DIAG   = 'U'\n// => Form  B := alpha*A**T*B.\n// A is MxM\n// B is MxN\n  \n#pragma ACCEL PIPELINE auto{_p3}\n  \n#pragma ACCEL TILE FACTOR=auto{_p5}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (int i = 0; i < 60; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p4}\n    \n#pragma ACCEL TILE FACTOR=auto{_p6}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (int j = 0; j < 80; j++) {\n      \n#pragma ACCEL PARALLEL reduction=B FACTOR=auto{_p2}\n      for (int k = 0; k < 60; k++) {\n        if (k > i) {\n          B[i][j] += A[k][i] * B[k][j];\n        }\n      }\n      B[i][j] = alpha * B[i][j];\n    }\n  }\n}\n ```\nX:\n_p0:2\n_p1:2\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:1\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.2\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:30\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.2\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:80\n_p2:1\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:8\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.2\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:30\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:10\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:15\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:2\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:3\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:3\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:3\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:4\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:12\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:80\n_p2:1\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:8\nY:-\nr0:0 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V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:c\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:4\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:3\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:1.3\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[400],double x2[400],double y_1[400],double y_2[400],double A[400][400])\n{\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 400; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 400; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:4.3\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:400\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:6.0\nr0:0.2 r1:3.2 r2:2.0 r3:6.4 V:0\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:2\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:4.6\nr0:0.3 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:8\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:400\nY:7.1\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.5\nr0:0.3 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.8\nr0:0.4 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:16\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:8\n_p7:1\nY:5.8\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:1\nY:5.9\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:20\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:10\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:8\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:7.9\nr0:0.2 r1:1.6 r2:0.9 r3:2.6 V:0\nX:\n_p0:1\n_p1:1\n_p2:25\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.1\nr0:0.5 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:10\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:8\n_p7:1\nY:6.4\nr0:0.4 r1:0.1 r2:0.1 r3:0.3 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.2\nr0:0.2 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:400\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:10\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:4\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:4.8\nr0:0.2 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:10\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:5.3\nr0:0.8 r1:1.2 r2:0.7 r3:2.6 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:10\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:3.4\nr0:0.1 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:5\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:7.3\nr0:0.2 r1:0.3 r2:0.2 r3:0.7 V:1\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:8\n_p7:1\nY:5.8\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:400\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.3\nr0:0.2 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:2\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:8\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:400\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:10\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:1\nY:5.7\nr0:0.4 r1:0.1 r2:0.1 r3:0.3 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:400\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:25\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:8\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:6.7\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:2\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:8\n_p7:400\nY:5.9\nr0:0.5 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:16\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:4\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:3.9\nr0:0.3 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:16\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.2 r1:0.4 r2:0.3 r3:0.7 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:32\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:8\n_p7:1\nY:5.8\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:4\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:5.3\nr0:0.1 r1:2.6 r2:1.5 r3:5.1 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:6.0\nr0:0.1 r1:0.6 r2:0.3 r3:0.6 V:1\nX:\n_p0:20\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:2\n_p7:400\nY:6.7\nr0:0.4 r1:0.2 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:5.5\nr0:0.2 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:2\n_p7:1\nY:0.1\nr0:0.4 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:25\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:400\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:6.5\nr0:0.5 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:5\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:5\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.0\nr0:0.3 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:4\n_p7:1\nY:1.1\nr0:0.4 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:400\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:25\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:400\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:5\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:8\n_p7:1\nY:6.0\nr0:0.2 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:32\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.0\nr0:0.3 r1:0.4 r2:0.2 r3:0.3 V:1\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:8\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:8\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:6.0\nr0:0.1 r1:2.6 r2:1.5 r3:5.1 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:10\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:6.8\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:25\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:4.8\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:8\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:8\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:1\n_p7:1\nY:6.6\nr0:0.5 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:5\n_p2:25\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:4.8\nr0:1.1 r1:1.5 r2:0.9 r3:3.2 V:0\nX:\n_p0:16\n_p1:16\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:400\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:10\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:4.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:16\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:6.9\nr0:0.4 r1:0.4 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:4\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:5.0\nr0:0.4 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:8\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:6.1\nr0:0.1 r1:0.9 r2:0.5 r3:1.3 V:0\nX:\n_p0:20\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.3\nr0:0.3 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:4\n_p7:1\nY:5.9\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:20\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:4.1\nr0:0.1 r1:0.9 r2:0.5 r3:1.3 V:0\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:4\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:25\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.1\nr0:0.3 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:400\n_p7:400\nY:6.3\nr0:0.4 r1:0.0 r2:0.0 r3:0.0 V:1\nTY:5.0\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:16\n_p3:4\n_p4:o\n_p5:o\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_trmm(double alpha,double A[60][60],double B[60][80])\n{\n//BLAS parameters\n//SIDE   = 'L'\n//UPLO   = 'L'\n//TRANSA = 'T'\n//DIAG   = 'U'\n// => Form  B := alpha*A**T*B.\n// A is MxM\n// B is MxN\n  \n#pragma ACCEL PIPELINE auto{_p3}\n  \n#pragma ACCEL TILE FACTOR=auto{_p5}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (int i = 0; i < 60; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p4}\n    \n#pragma ACCEL TILE FACTOR=auto{_p6}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (int j = 0; j < 80; j++) {\n      \n#pragma ACCEL PARALLEL reduction=B FACTOR=auto{_p2}\n      for (int k = 0; k < 60; k++) {\n        if (k > i) {\n          B[i][j] += A[k][i] * B[k][j];\n        }\n      }\n      B[i][j] = alpha * B[i][j];\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:32\n_p2:4\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:15\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.2\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:30\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:80\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:30\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:80\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:80\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.2\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:4\n_p2:32\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:80\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:8\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:15\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:5\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:8\n_p2:3\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.2\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:32\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:20\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:2\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:32\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:5\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:3\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:2\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:20\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:80\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:2\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:2\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:10\n_p1:1\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:12\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.2\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:4\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:2\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:4\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:12\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.2\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:10\n_p2:4\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:10\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:4\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:8\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:1.3\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:80\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_2mm(int ni,int nj,int nk,int nl,double alpha,double beta,double tmp[40][50],double A[40][70],double B[70][50],double C[50][80],double D[40][80])\n{\n  int i;\n  int j;\n  int k;\n  \n#pragma ACCEL PIPELINE auto{_p6}\n  \n#pragma ACCEL TILE FACTOR=auto{_p10}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 40; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p8}\n    \n#pragma ACCEL TILE FACTOR=auto{_p12}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (j = 0; j < 50; j++) {\n      tmp[i][j] = 0.0;\n      \n#pragma ACCEL PARALLEL reduction = tmp FACTOR=auto{_p4}\n      for (k = 0; k < 70; ++k) {\n        tmp[i][j] += alpha * A[i][k] * B[k][j];\n      }\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p7}\n  \n#pragma ACCEL TILE FACTOR=auto{_p11}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 40; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (j = 0; j < 80; j++) {\n      D[i][j] *= beta;\n      \n#pragma ACCEL PARALLEL reduction = D FACTOR=auto{_p5}\n      for (k = 0; k < 50; ++k) {\n        D[i][j] += tmp[i][k] * C[k][j];\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:6.0\nr0:0.0 r1:0.2 r2:0.1 r3:0.3 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:10.3\nr0:0.0 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:40\n_p11:8\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:8\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:7\n_p5:25\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:40\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:5.8\nr0:1.0 r1:1.5 r2:1.0 r3:3.3 V:0\nX:\n_p0:40\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:4\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.6\nr0:0.0 r1:2.9 r2:1.9 r3:6.5 V:0\nX:\n_p0:5\n_p1:4\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:5\n_p5:1\n_p6:o\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.3\nr0:0.0 r1:2.8 r2:1.9 r3:6.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:2\n_p13:1\nY:3.6\nr0:0.0 r1:2.8 r2:1.9 r3:6.5 V:0\nX:\n_p0:20\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:10\n_p4:70\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:9.1\nr0:0.0 r1:0.8 r2:0.6 r3:1.0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:70\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:11.3\nr0:0.0 r1:2.9 r2:1.9 r3:6.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:c\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:4\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:70\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:5\n_p4:70\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:10.3\nr0:0.0 r1:2.5 r2:1.6 r3:5.7 V:0\nX:\n_p0:1\n_p1:40\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:8.5\nr0:0.0 r1:2.5 r2:1.7 r3:5.8 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:14\n_p5:1\n_p6:o\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:6.0\nr0:0.0 r1:2.8 r2:1.9 r3:6.5 V:0\nX:\n_p0:32\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:50\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.0\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:8\n_p12:1\n_p13:1\nY:5.7\nr0:0.0 r1:0.4 r2:0.2 r3:0.7 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:5\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.3\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:1\n_p5:4\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:4\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:5\n_p4:8\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.4 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:4\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:4\nY:5.7\nr0:0.0 r1:0.4 r2:0.2 r3:0.8 V:1\nX:\n_p0:1\n_p1:8\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:40\n_p11:2\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:1\n_p5:25\n_p6:f\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.6\nr0:0.0 r1:2.4 r2:1.6 r3:5.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:2\n_p12:4\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:32\n_p4:70\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:32\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.0\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:5\n_p4:1\n_p5:25\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:40\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:10\n_p1:10\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:32\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:2\n_p12:1\n_p13:1\nY:5.7\nr0:0.0 r1:1.5 r2:0.9 r3:3.3 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:25\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.1 r2:0.1 r3:0.2 V:1\nTY:5.7\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:2\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_syr2k(double alpha,double beta,double C[80][80],double A[80][60],double B[80][60])\n{\n  int i;\n  int j;\n  int k;\n//BLAS PARAMS\n//UPLO  = 'L'\n//TRANS = 'N'\n//A is NxM\n//B is NxM\n//C is NxN\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      if (j <= i) {\n        C[i][j] *= beta;\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p5}\n    \n#pragma ACCEL TILE FACTOR=auto{_p7}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (k = 0; k < 60; k++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        if (j <= i) {\n          C[i][j] += A[j][k] * alpha * B[i][k] + B[j][k] * alpha * A[i][k];\n        }\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:2\n_p2:60\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.2\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.4\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.2\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:1\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:10\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:5\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:4\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:80\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:10\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.2\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:4\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 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V:0\nX:\n_p0:1\n_p1:8\n_p2:6\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:2.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:5.1\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:8\nY:6.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:10\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:2\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:10\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.7\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:4\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:4\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:3\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:5\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.5\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:2\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:6.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:5.1\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:5\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:8\nY:5.7\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.0\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:6\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:3\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:8\nY:6.2\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:30\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:5\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:4\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:4\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:8\nY:6.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:2\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:7.6\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[400],double x2[400],double y_1[400],double y_2[400],double A[400][400])\n{\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 400; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 400; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:10\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:6.9\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:20\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:6.8\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:16\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:8\n_p7:400\nY:6.1\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:6.3\nr0:0.9 r1:0.4 r2:0.2 r3:0.6 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:4.5\nr0:0.1 r1:0.6 r2:0.3 r3:0.6 V:1\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:5.9\nr0:0.2 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:10\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:5.3\nr0:0.5 r1:0.6 r2:0.4 r3:1.3 V:0\nX:\n_p0:10\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.1\nr0:0.4 r1:0.1 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:5\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:5.8\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:400\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:5.0\nr0:1.1 r1:1.5 r2:1.0 r3:3.2 V:0\nX:\n_p0:2\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:8\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:25\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:7.9\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:20\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:25\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:32\n_p1:1\n_p2:16\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:1.0 r2:0.5 r3:0.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.3 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:4\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:5.0\nr0:0.4 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.3\nr0:0.2 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:1\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:3.5\nr0:0.2 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:20\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:16\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:6.5\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:16\n_p1:4\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:7.8\nr0:0.3 r1:1.7 r2:1.0 r3:2.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:5\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.0\nr0:0.3 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:25\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:8\n_p7:1\nY:6.4\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:32\n_p1:16\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:1\n_p2:16\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.9\nr0:0.3 r1:0.6 r2:0.3 r3:0.6 V:1\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:2\n_p7:1\nY:5.9\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:4\nY:7.9\nr0:0.2 r1:1.8 r2:1.0 r3:3.2 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:16\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.2 r1:0.3 r2:0.2 r3:0.7 V:1\nX:\n_p0:32\n_p1:16\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:1\nY:7.0\nr0:0.3 r1:0.4 r2:0.2 r3:0.3 V:1\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:5\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:2\n_p7:400\nY:5.3\nr0:0.2 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:400\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.2\nr0:0.5 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:4\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:2\n_p7:1\nY:6.7\nr0:0.1 r1:1.5 r2:0.8 r3:2.6 V:0\nX:\n_p0:32\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:32\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:5\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.9\nr0:0.1 r1:0.0 r2:0 r3:0.0 V:1\nX:\n_p0:4\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:25\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:16\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:1\nY:5.9\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:400\n_p7:8\nY:7.4\nr0:0.2 r1:0.6 r2:0.4 r3:0.7 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:400\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:10\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:7.8\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:5\n_p2:5\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:4.3\nr0:1.0 r1:1.5 r2:0.9 r3:3.2 V:0\nX:\n_p0:16\n_p1:16\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:8\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:10\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:4.9\nr0:0.2 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:5\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:4.7\nr0:1.1 r1:1.5 r2:0.9 r3:3.2 V:0\nX:\n_p0:8\n_p1:16\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:8\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:20\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:7.8\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:16\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:1\n_p7:400\nY:7.1\nr0:0.5 r1:0.2 r2:0.2 r3:0.2 V:1\nX:\n_p0:25\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:32\n_p1:16\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:8\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:6.7\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:2\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:3.5\nr0:0.2 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:3.5\nr0:0.2 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:16\n_p1:1\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:2\n_p7:400\nY:6.7\nr0:0.1 r1:0.6 r2:0.3 r3:0.7 V:1\nTY:6.3\nTV:0\n", "outputs":"### outputs: _p0:1\n_p1:2\n_p2:20\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[400],double x2[400],double y_1[400],double y_2[400],double A[400][400])\n{\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 400; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 400; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n}\n ```\nX:\n_p0:8\n_p1:16\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:4\n_p7:1\nY:5.9\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:25\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:4.8\nr0:1.0 r1:1.2 r2:0.7 r3:2.6 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:4\n_p7:1\nY:5.6\nr0:0.3 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:400\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:7.9\nr0:0.2 r1:1.6 r2:0.9 r3:2.6 V:0\nX:\n_p0:4\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:7.9\nr0:0.8 r1:1.5 r2:0.9 r3:2.6 V:0\nX:\n_p0:5\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:2\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:3.5\nr0:0.1 r1:0.0 r2:0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:7.1\nr0:0.5 r1:0.3 r2:0.2 r3:0.7 V:1\nX:\n_p0:25\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:2\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:400\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.2\nr0:0.1 r1:0.3 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:2\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:400\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:400\n_p7:1\nY:5.9\nr0:0.4 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:5\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:1\nY:5.6\nr0:0.2 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:8\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:8\n_p7:400\nY:6.2\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:5\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:6.9\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 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V:1\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:2\n_p7:1\nY:5.6\nr0:0.3 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:400\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:8\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:4.8\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:10\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:5\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:4\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:0\nX:\n_p0:2\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:1\n_p7:1\nY:6.6\nr0:0.5 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:16\n_p1:5\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:2\n_p7:8\nY:4.9\nr0:1.0 r1:1.5 r2:0.9 r3:3.2 V:0\nX:\n_p0:20\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:1\n_p7:400\nY:7.2\nr0:0.4 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:32\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:400\nY:7.1\nr0:0.3 r1:0.4 r2:0.2 r3:0.3 V:1\nX:\n_p0:1\n_p1:2\n_p2:20\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:6.2\nr0:0.9 r1:0.7 r2:0.4 r3:1.3 V:0\nX:\n_p0:4\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:4\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:25\n_p3:25\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.6\nr0:0.4 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:4\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:8\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:6.1\nr0:0.1 r1:0.9 r2:0.5 r3:1.3 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:5.6\nr0:0.2 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:2\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.1\nr0:0.5 r1:0.1 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:400\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:7.9\nr0:0.2 r1:1.6 r2:0.9 r3:2.6 V:0\nX:\n_p0:1\n_p1:16\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:400\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:2\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:6.6\nr0:0.3 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:10\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:3.4\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:10\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:1\n_p7:400\nY:7.1\nr0:0.4 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:5.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:25\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:4\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:16\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:5\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:5.9\nr0:0.2 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:7.2\nr0:0.6 r1:0.6 r2:0.4 r3:1.3 V:0\nX:\n_p0:2\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:2\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:400\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:8.0\nr0:0.2 r1:2.6 r2:1.6 r3:5.1 V:0\nX:\n_p0:25\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:8\n_p7:1\nY:6.4\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nTY:5.3\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:8\n_p3:10\n_p4:o\n_p5:o\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_2mm(int ni,int nj,int nk,int nl,double alpha,double beta,double tmp[40][50],double A[40][70],double B[70][50],double C[50][80],double D[40][80])\n{\n  int i;\n  int j;\n  int k;\n  \n#pragma ACCEL PIPELINE auto{_p6}\n  \n#pragma ACCEL TILE FACTOR=auto{_p10}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 40; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p8}\n    \n#pragma ACCEL TILE FACTOR=auto{_p12}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (j = 0; j < 50; j++) {\n      tmp[i][j] = 0.0;\n      \n#pragma ACCEL PARALLEL reduction = tmp FACTOR=auto{_p4}\n      for (k = 0; k < 70; ++k) {\n        tmp[i][j] += alpha * A[i][k] * B[k][j];\n      }\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p7}\n  \n#pragma ACCEL TILE FACTOR=auto{_p11}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 40; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (j = 0; j < 80; j++) {\n      D[i][j] *= beta;\n      \n#pragma ACCEL PARALLEL reduction = D FACTOR=auto{_p5}\n      for (k = 0; k < 50; ++k) {\n        D[i][j] += tmp[i][k] * C[k][j];\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:8\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:1\n_p5:1\n_p6:o\n_p7:f\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:9.9\nr0:0.0 r1:2.9 r2:1.9 r3:6.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:20\n_p4:16\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.9\nr0:0.0 r1:1.8 r2:0.7 r3:1.6 V:0\nX:\n_p0:1\n_p1:10\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:16\n_p1:20\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:2\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:7\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.0\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:40\n_p1:20\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:2\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.1\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.3\nr0:0.0 r1:2.4 r2:1.6 r3:5.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:40\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:1\n_p5:2\n_p6:f\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:5\n_p4:1\n_p5:50\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:10.3\nr0:0.0 r1:2.5 r2:1.6 r3:5.7 V:0\nX:\n_p0:8\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:2\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:5\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.5\nr0:0.0 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:1\n_p5:1\n_p6:o\n_p7:f\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:11.3\nr0:0.0 r1:2.9 r2:1.9 r3:6.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:32\n_p5:8\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.3\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:5\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:40\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:8.6\nr0:0.0 r1:2.8 r2:1.9 r3:6.6 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:8\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:2\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:16\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.9\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:5\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:c\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:8\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:c\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:8\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:2.3 r2:1.4 r3:5.2 V:0\nX:\n_p0:1\n_p1:1\n_p2:50\n_p3:1\n_p4:1\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.7\nr0:0.0 r1:2.9 r2:1.9 r3:6.5 V:0\nX:\n_p0:8\n_p1:8\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:1\n_p5:25\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.6\nr0:0.0 r1:2.4 r2:1.6 r3:5.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:2\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:10\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.7\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:10\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:2\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:10\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:4\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:10\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:4\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.7\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:20\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:14\n_p5:32\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:16\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.9\nr0:0.0 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:5\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:4\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:32\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.3\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.1\nr0:0.0 r1:2.5 r2:1.6 r3:5.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.4\nr0:0.0 r1:0.1 r2:0.0 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:7\n_p5:4\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.2\nr0:0.0 r1:0.0 r2:0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:4\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:40\n_p11:8\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:4\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.0\nr0:0.0 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:32\n_p5:4\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.1\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:10\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:2\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:16\n_p6:f\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:2\n_p12:1\n_p13:1\nY:5.6\nr0:0.0 r1:0.6 r2:0.4 r3:1.3 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:2.8 r2:1.9 r3:6.6 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.2\nr0:0.0 r1:0.0 r2:0 r3:0.0 V:1\nX:\n_p0:1\n_p1:5\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:2\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:2\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:32\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:1\n_p5:25\n_p6:f\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.6\nr0:0.0 r1:2.4 r2:1.6 r3:5.7 V:0\nX:\n_p0:1\n_p1:4\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:2\n_p12:1\n_p13:1\nY:5.7\nr0:0.0 r1:1.2 r2:0.7 r3:2.6 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:16\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.0\nr0:0.0 r1:2.4 r2:1.6 r3:5.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:2.6\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:4\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:c\n_p7:c\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:10\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.0\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:5\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:8\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:5\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.2 V:1\nTY:4.5\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:14\n_p5:8\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[120], double x2[120], double y_1[120], double y_2[120], double A[120][120])\n{\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 120; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 120; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:6\n_p2:2\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.6 r2:0.3 r3:1.2 V:0\nX:\n_p0:1\n_p1:3\n_p2:1\n_p3:120\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:8.4\nr0:0.1 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.2\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:24\n_p1:1\n_p2:1\n_p3:20\n_p4:f\n_p5:c\n_p6:1\n_p7:120\nY:9.9\nr0:0.1 r1:2.3 r2:1.4 r3:4.6 V:0\nX:\n_p0:2\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:8\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:9.4\nr0:0.1 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:4\n_p1:4\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:1\n_p3:120\n_p4:f\n_p5:c\n_p6:1\n_p7:120\nY:11.2\nr0:0.1 r1:1.1 r2:0.6 r3:1.5 V:0\nTY:11.2\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:24\n_p2:1\n_p3:20\n_p4:f\n_p5:c\n_p6:120\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[200][240],double ey[200][240],double hz[200][240],double _fict_[100])\n{\n  int t;\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 100; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 240; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 0; j < 240; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (i = 0; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n      for (j = 1; j < 240; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 200 - 1; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 240 - 1; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n}\n ```\nX:\n_p0:25\n_p1:16\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:8\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:199\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:16\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.6 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:32\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:1\n_p6:1\n_p7:239\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:10\n_p6:1\n_p7:4\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:4\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.2\nr0:0.5 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:239\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:32\n_p8:o\n_p9:o\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:4\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:239\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:25\n_p1:1\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:f\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:8\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:8\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:1\n_p7:4\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:32\n_p7:1\n_p8:o\n_p9:o\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:3.4\nr0:0.6 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:16\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.2 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:5\n_p6:1\n_p7:2\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.2\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:12\n_p6:1\n_p7:8\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.6\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:239\n_p7:8\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.2\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:1\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-0.1\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:16\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.5 r1:0.6 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.4\nr0:0.5 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.3\nr0:0.1 r1:0.1 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:2\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.2 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.0\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:32\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:32\n_p8:o\n_p9:f\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:199\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:2\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:1.5\nr0:0.7 r1:1.0 r2:0.7 r3:1.0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:8\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.4\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nTY:1.4\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:32\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[400],double x2[400],double y_1[400],double y_2[400],double A[400][400])\n{\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 400; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 400; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n}\n ```\nX:\n_p0:4\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:400\nY:5.9\nr0:0.3 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:5\n_p2:8\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:4.5\nr0:1.0 r1:1.5 r2:0.9 r3:3.2 V:0\nX:\n_p0:2\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:7.9\nr0:0.4 r1:0.9 r2:0.5 r3:1.3 V:0\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:1\nY:5.9\nr0:0.4 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:16\n_p1:16\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:4\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:4.2\nr0:0.2 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:16\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:1\nY:6.8\nr0:0.3 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:2\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:1\n_p7:400\nY:6.7\nr0:0.5 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:400\n_p7:400\nY:6.3\nr0:0.4 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:25\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:8\n_p7:1\nY:6.4\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:10\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:4.9\nr0:0.2 r1:0.3 r2:0.2 r3:0.7 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:16\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:6.5\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:5\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:5.2\nr0:0.2 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:25\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.0\nr0:0.3 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:4\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:4.8\nr0:0.3 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:16\n_p1:16\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:400\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:6.0\nr0:0.2 r1:3.2 r2:2.0 r3:6.4 V:0\nX:\n_p0:32\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:1\nY:7.0\nr0:0.3 r1:0.4 r2:0.2 r3:0.3 V:1\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:7.8\nr0:0.3 r1:2.7 r2:1.6 r3:5.3 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:8\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:6.7\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:8\n_p1:16\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:8\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:2\nY:7.9\nr0:0.2 r1:2.8 r2:1.7 r3:5.8 V:0\nX:\n_p0:8\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:8\n_p7:400\nY:6.2\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:4\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:7.9\nr0:0.2 r1:0.6 r2:0.3 r3:0.6 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:2\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:7.2\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:4\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:4\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:2\n_p7:1\nY:5.7\nr0:0.3 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:10\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:5\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:4.8\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:8\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:4.1\nr0:0.1 r1:0.9 r2:0.5 r3:1.3 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:8\nY:7.9\nr0:0.2 r1:1.2 r2:0.7 r3:1.9 V:0\nX:\n_p0:20\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:8\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:4.9\nr0:0.2 r1:0.3 r2:0.2 r3:0.7 V:1\nX:\n_p0:20\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:1\n_p2:16\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.9\nr0:0.3 r1:0.6 r2:0.3 r3:0.6 V:1\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:400\n_p7:1\nY:5.8\nr0:0.4 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:400\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.2\nr0:0.1 r1:0.3 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:8\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:6.0\nr0:0.1 r1:2.6 r2:1.5 r3:5.1 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:10\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:6.3\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:400\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.3\nr0:0.2 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:2\nY:7.7\nr0:0.2 r1:0.7 r2:0.5 r3:0.7 V:1\nX:\n_p0:1\n_p1:5\n_p2:4\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:4.2\nr0:1.0 r1:1.5 r2:0.9 r3:3.2 V:0\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:20\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:4.9\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:10\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:8\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:1\nY:5.9\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:16\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:8\n_p7:400\nY:6.1\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:5\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:5.5\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:4.1\nr0:0.1 r1:0.9 r2:0.5 r3:1.3 V:0\nX:\n_p0:1\n_p1:4\n_p2:4\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:5.1\nr0:0.1 r1:1.5 r2:0.8 r3:2.6 V:0\nX:\n_p0:25\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:8\n_p7:1\nY:6.4\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:2\n_p2:10\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:5.3\nr0:0.5 r1:0.6 r2:0.4 r3:1.3 V:0\nX:\n_p0:32\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:5\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:4.4\nr0:0.4 r1:0.6 r2:0.4 r3:1.3 V:0\nX:\n_p0:1\n_p1:4\n_p2:2\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:4.2\nr0:0.1 r1:1.5 r2:0.8 r3:2.6 V:0\nX:\n_p0:2\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:1\n_p7:400\nY:7.2\nr0:0.4 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:20\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:2\n_p7:1\nY:6.2\nr0:0.4 r1:0.2 r2:0.2 r3:0.5 V:1\nX:\n_p0:8\n_p1:16\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:8\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:10\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.7\nr0:0.2 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:2\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:5.3\nr0:0.3 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:20\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:400\nY:7.1\nr0:0.4 r1:0.2 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:25\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:20\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.4 r1:0.4 r2:0.3 r3:0.7 V:1\nX:\n_p0:1\n_p1:1\n_p2:25\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:4.4\nr0:0.3 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:400\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:2\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:3.0\nr0:0.2 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:20\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:7.8\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:4\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:32\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:2\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:4.3\nr0:0.3 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:16\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:3.0\nr0:0.2 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:2\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:1\nY:1.1\nr0:0.5 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:1\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:4\n_p7:1\nY:5.9\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:1\nY:5.7\nr0:0.3 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:4\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:6.7\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:4\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:25\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:20\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:7.3\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:8\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:400\nY:7.1\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:400\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:400\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:3.5\nr0:0.1 r1:0.3 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:3.5\nr0:0.3 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:4\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:10\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:4.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:4\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:4.8\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:4\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:32\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:4\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.4\nr0:0.3 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:25\n_p3:5\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:4.2\nr0:0.2 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:10\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:1\nY:6.1\nr0:0.4 r1:0.1 r2:0.1 r3:0.3 V:1\nX:\n_p0:25\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:7.7\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:16\n_p2:1\n_p3:8\n_p4:f\n_p5:c\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_2mm(int ni,int nj,int nk,int nl,double alpha,double beta,double tmp[40][50],double A[40][70],double B[70][50],double C[50][80],double D[40][80])\n{\n  int i;\n  int j;\n  int k;\n  \n#pragma ACCEL PIPELINE auto{_p6}\n  \n#pragma ACCEL TILE FACTOR=auto{_p10}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 40; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p8}\n    \n#pragma ACCEL TILE FACTOR=auto{_p12}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (j = 0; j < 50; j++) {\n      tmp[i][j] = 0.0;\n      \n#pragma ACCEL PARALLEL reduction = tmp FACTOR=auto{_p4}\n      for (k = 0; k < 70; ++k) {\n        tmp[i][j] += alpha * A[i][k] * B[k][j];\n      }\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p7}\n  \n#pragma ACCEL TILE FACTOR=auto{_p11}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 40; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (j = 0; j < 80; j++) {\n      D[i][j] *= beta;\n      \n#pragma ACCEL PARALLEL reduction = D FACTOR=auto{_p5}\n      for (k = 0; k < 50; ++k) {\n        D[i][j] += tmp[i][k] * C[k][j];\n      }\n    }\n  }\n}\n ```\nX:\n_p0:4\n_p1:2\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:10\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:4\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:2\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.3 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:4\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.7\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:5\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.5\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:5\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.1\nr0:0.0 r1:2.5 r2:1.6 r3:5.7 V:0\nX:\n_p0:5\n_p1:10\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:4\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:32\n_p5:50\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:40\n_p1:5\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:8\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:5\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.1\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:25\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.4\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:20\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.3\nr0:0.0 r1:2.5 r2:1.6 r3:5.7 V:0\nX:\n_p0:32\n_p1:1\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:8\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.5\nr0:0.0 r1:2.8 r2:1.9 r3:6.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:40\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:4\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.0\nr0:0.0 r1:0.2 r2:0.1 r3:0.3 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:10.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:2\n_p1:20\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:2\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:14\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:25\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:2\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:25\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:2.8 r2:1.9 r3:6.6 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V:0\nX:\n_p0:1\n_p1:16\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:8\n_p12:1\n_p13:1\nY:5.7\nr0:0.0 r1:0.4 r2:0.2 r3:0.7 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:32\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.3\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:10\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:4\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:8\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.5\nr0:0.0 r1:0.0 r2:0.0 r3:0 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V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:25\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.1\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:80\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:8\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.7\nr0:0.0 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:1\n_p5:10\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.2\nr0:0.0 r1:2.4 r2:1.6 r3:5.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:5\n_p4:8\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.4 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:16\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.9\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:8\n_p1:10\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:32\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:2\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:50\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:6.9\nr0:0.0 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:14\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:6.1\nr0:0.0 r1:2.9 r2:1.9 r3:6.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:32\n_p5:16\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.4\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.5\nr0:0.0 r1:2.5 r2:1.6 r3:5.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:50\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:4\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:1\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:10.9\nr0:0.0 r1:0.4 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:16\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:20\n_p4:70\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:11.6\nr0:0.0 r1:3.6 r2:1.8 r3:5.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:25\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.6\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:10\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:4\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:16\n_p4:16\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:40\n_p12:1\n_p13:1\nY:3.7\nr0:0.0 r1:2.9 r2:1.9 r3:6.5 V:0\nX:\n_p0:1\n_p1:10\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:c\n_p7:c\n_p8:c\n_p9:f\n_p10:40\n_p11:4\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:1\n_p5:4\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.7\nr0:0.0 r1:2.4 r2:1.6 r3:5.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:50\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.9\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:16\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.9\nr0:0.0 r1:0.2 r2:0.1 r3:0.3 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.7\nr0:0.0 r1:2.9 r2:1.9 r3:6.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:1\n_p5:2\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.1\nr0:0.0 r1:2.4 r2:1.6 r3:5.7 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:4\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:10\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:10.7\nr0:0.0 r1:0.4 r2:0.2 r3:0.8 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:4\n_p12:8\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:5\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.5\nr0:0.0 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:20\n_p1:10\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:80\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:5\n_p4:1\n_p5:5\n_p6:f\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.3\nr0:0.0 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:70\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:9.2\nr0:0.0 r1:0.8 r2:0.5 r3:0.9 V:0\nX:\n_p0:2\n_p1:4\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:8\n_p12:4\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:16\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:6.0\nr0:0.0 r1:0.7 r2:0.4 r3:1.3 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.9\nr0:0.0 r1:2.9 r2:1.9 r3:6.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:8\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.8\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nTY:5.8\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:7\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[200][240],double ey[200][240],double hz[200][240],double _fict_[100])\n{\n  int t;\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 100; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 240; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 0; j < 240; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (i = 0; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n      for (j = 1; j < 240; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 200 - 1; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 240 - 1; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-0.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nTY:-0.1\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_syr2k(double alpha,double beta,double C[80][80],double A[80][60],double B[80][60])\n{\n  int i;\n  int j;\n  int k;\n//BLAS PARAMS\n//UPLO  = 'L'\n//TRANS = 'N'\n//A is NxM\n//B is NxM\n//C is NxN\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      if (j <= i) {\n        C[i][j] *= beta;\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p5}\n    \n#pragma ACCEL TILE FACTOR=auto{_p7}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (k = 0; k < 60; k++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        if (j <= i) {\n          C[i][j] += A[j][k] * alpha * B[i][k] + B[j][k] * alpha * A[i][k];\n        }\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:4\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:6.4\nr0:0.0 r1:0.3 r2:0.2 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:5.4\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.2\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:10\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:6\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:0\nX:\n_p0:1\n_p1:4\n_p2:2\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:6.5\nr0:0.0 r1:0.3 r2:0.5 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:4\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:6\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:8\nY:6.2\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:4\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:3\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:6.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.9\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.2\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:5\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:3.7\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:2.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:1\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:10\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:2\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:10\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:3\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.2\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:5\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:5\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.3\nr0:0.0 r1:0.0 r2:0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:2\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:5.7\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:10\n_p4:o\n_p5:o\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_trmm(double alpha,double A[60][60],double B[60][80])\n{\n//BLAS parameters\n//SIDE   = 'L'\n//UPLO   = 'L'\n//TRANSA = 'T'\n//DIAG   = 'U'\n// => Form  B := alpha*A**T*B.\n// A is MxM\n// B is MxN\n  \n#pragma ACCEL PIPELINE auto{_p3}\n  \n#pragma ACCEL TILE FACTOR=auto{_p5}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (int i = 0; i < 60; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p4}\n    \n#pragma ACCEL TILE FACTOR=auto{_p6}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (int j = 0; j < 80; j++) {\n      double sum = B[i][j];\n#pragma ACCEL PARALLEL reduction=sum FACTOR=auto{_p2}\n      for (int k = 0; k < 60; k++) {\n        if (k > i) {\n          sum += A[k][i] * B[k][j];\n        }\n      }\n      B[i][j] = alpha * sum;\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:4.2\nr0:0.0 r1:0 r2:0 r3:0 V:1\nX:\n_p0:5\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.7\nr0:0.0 r1:1.9 r2:9.4 r3:3.7 V:0\nX:\n_p0:1\n_p1:2\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:2\n_p2:15\n_p3:o\n_p4:c\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:3\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.8\nr0:0.0 r1:1.2 r2:5.3 r3:2.3 V:0\nX:\n_p0:3\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:2\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:4.3\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:30\n_p1:1\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:2\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.5\nr0:0.0 r1:0.4 r2:2.5 r3:0.4 V:0\nX:\n_p0:1\n_p1:10\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:8.5\nr0:0 r1:0.6 r2:0.3 r3:1.0 V:0\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:5.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 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V:1\nX:\n_p0:1\n_p1:1\n_p2:30\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:5.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:c\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:4.9\nr0:0.1 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:3.9\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:15\n_p1:1\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:8.7\nr0:0.0 r1:0.5 r2:0.3 r3:0.8 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:80\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:2\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:4.9\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.7\nr0:0.0 r1:0.9 r2:0.6 r3:1.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:4.8\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:2\n_p1:4\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.1\nr0:0.0 r1:0.5 r2:2.6 r3:0.8 V:0\nX:\n_p0:4\n_p1:2\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.5\nr0:0.0 r1:0.5 r2:6.7 r3:0.7 V:0\nX:\n_p0:1\n_p1:10\n_p2:10\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:8\nY:8.5\nr0:0 r1:0.6 r2:0.3 r3:1.0 V:0\nX:\n_p0:1\n_p1:2\n_p2:3\n_p3:o\n_p4:o\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:4\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.2\nr0:0.0 r1:0.9 r2:7.0 r3:1.5 V:0\nX:\n_p0:1\n_p1:20\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:8.6\nr0:0 r1:1.2 r2:0.7 r3:1.9 V:0\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.6\nr0:0 r1:1.2 r2:0.7 r3:1.9 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:8\nY:8.5\nr0:0 r1:0.6 r2:0.3 r3:1.0 V:0\nX:\n_p0:1\n_p1:1\n_p2:30\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:5.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:2.7\nr0:0.0 r1:0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:4.8\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:20\n_p1:1\n_p2:32\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:4\nY:8.6\nr0:0 r1:1.2 r2:0.7 r3:1.9 V:0\nX:\n_p0:2\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.7\nr0:0 r1:1.1 r2:3.6 r3:1.9 V:0\nX:\n_p0:3\n_p1:2\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.3\nr0:0.0 r1:0.4 r2:4.7 r3:0.6 V:0\nX:\n_p0:1\n_p1:80\n_p2:60\n_p3:c\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:8.5\nr0:0 r1:0.6 r2:0.3 r3:1.0 V:0\nX:\n_p0:1\n_p1:5\n_p2:10\n_p3:o\n_p4:o\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:3\n_p1:1\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.2\nr0:0.0 r1:0.3 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:5.0\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:4.9\nr0:0.1 r1:0.0 r2:0 r3:0 V:1\nTY:8.7\nTV:0\n", "outputs":"### outputs: _p0:1\n_p1:16\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[200][240],double ey[200][240],double hz[200][240],double _fict_[100])\n{\n  int t;\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 100; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 240; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 0; j < 240; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (i = 0; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n      for (j = 1; j < 240; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 200 - 1; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 240 - 1; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:6\n_p6:1\n_p7:239\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.5\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:4\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:199\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:239\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:2.6\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:4\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:5\n_p6:1\n_p7:2\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.2\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:6\n_p6:1\n_p7:2\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:2\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.2 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:16\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.6 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:199\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-3.2\nr0:0.9 r1:0.6 r2:0.4 r3:0.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:10\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.1\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:2\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:16\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:32\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.0\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:4\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:5\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:f\n_p9:o\n_p10:o\n_p11:o\n_p12:4\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:16\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.6\nr0:0.5 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:32\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:2\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.6 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.3\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:32\n_p8:o\n_p9:f\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.5 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:6\n_p6:1\n_p7:4\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:239\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:2\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.1 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:16\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.6\nr0:0.5 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:5\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:20\n_p1:1\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:16\n_p8:o\n_p9:f\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-3.3\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.6 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:4\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-0.2\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:5\n_p6:1\n_p7:16\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:239\n_p8:o\n_p9:f\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:239\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:199\n_p14:1\n_p15:199\nY:3.4\nr0:0.6 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:239\n_p8:o\n_p9:f\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:8\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.6 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:199\n_p14:1\n_p15:199\nY:-0.0\nr0:0.1 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:4\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:10\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:f\n_p9:o\n_p10:o\n_p11:o\n_p12:4\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:2\n_p8:o\n_p9:f\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.4 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:1\n_p7:16\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:2.0\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:1\n_p8:o\n_p9:o\n_p10:c\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:16\n_p2:199\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:6\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.5\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-3.3\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.3\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:4\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:32\n_p6:32\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.4\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-3.3\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.5 r1:0.9 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:1\n_p6:1\n_p7:8\n_p8:o\n_p9:f\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:0.5\nTV:0\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_2mm(int ni,int nj,int nk,int nl,double alpha,double beta,double tmp[40][50],double A[40][70],double B[70][50],double C[50][80],double D[40][80])\n{\n  int i;\n  int j;\n  int k;\n  \n#pragma ACCEL PIPELINE auto{_p6}\n  \n#pragma ACCEL TILE FACTOR=auto{_p10}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 40; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p8}\n    \n#pragma ACCEL TILE FACTOR=auto{_p12}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (j = 0; j < 50; j++) {\n      tmp[i][j] = 0.0;\n      \n#pragma ACCEL PARALLEL reduction = tmp FACTOR=auto{_p4}\n      for (k = 0; k < 70; ++k) {\n        tmp[i][j] += alpha * A[i][k] * B[k][j];\n      }\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p7}\n  \n#pragma ACCEL TILE FACTOR=auto{_p11}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 40; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (j = 0; j < 80; j++) {\n      D[i][j] *= beta;\n      \n#pragma ACCEL PARALLEL reduction = D FACTOR=auto{_p5}\n      for (k = 0; k < 50; ++k) {\n        D[i][j] += tmp[i][k] * C[k][j];\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:40\n_p11:2\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:2\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:4\n_p12:1\n_p13:1\nY:5.6\nr0:0.0 r1:0.4 r2:0.2 r3:0.7 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:4\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.0\nr0:0.0 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:14\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:8\nY:5.7\nr0:0.0 r1:0.4 r2:0.2 r3:0.8 V:1\nX:\n_p0:1\n_p1:5\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:1.5 r2:0.9 r3:3.3 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:20\n_p4:16\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.9\nr0:0.0 r1:1.8 r2:0.7 r3:1.6 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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r2:0 r3:0 V:0\nX:\n_p0:32\n_p1:5\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:5\n_p4:10\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.9\nr0:0.0 r1:0.2 r2:0.1 r3:0.4 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:5\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.3\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:7\n_p5:32\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.2\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:5\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:80\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:70\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:10.8\nr0:0.0 r1:2.6 r2:1.6 r3:5.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:3.5\nr0:0.0 r1:2.5 r2:1.6 r3:5.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.3\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:16\n_p1:8\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:14\n_p5:5\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.5\nr0:0.1 r1:0.0 r2:0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:8\nY:5.7\nr0:0.0 r1:0.4 r2:0.2 r3:0.8 V:1\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:80\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:5\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:5\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.1\nr0:0.0 r1:2.5 r2:1.6 r3:5.7 V:0\nX:\n_p0:1\n_p1:16\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:40\n_p11:2\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:1\n_p5:2\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:8\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:50\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.4\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:16\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:40\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:c\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:8\n_p11:2\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:5\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:4\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:40\n_p11:2\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:16\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.6\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:8\n_p1:2\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:2\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:1\n_p5:16\n_p6:f\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.4\nr0:0.0 r1:2.4 r2:1.6 r3:5.7 V:0\nTY:3.0\nTV:0\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:16\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_trmm(double alpha,double A[60][60],double B[60][80])\n{\n//BLAS parameters\n//SIDE   = 'L'\n//UPLO   = 'L'\n//TRANSA = 'T'\n//DIAG   = 'U'\n// => Form  B := alpha*A**T*B.\n// A is MxM\n// B is MxN\n  \n#pragma ACCEL PIPELINE auto{_p3}\n  \n#pragma ACCEL TILE FACTOR=auto{_p5}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (int i = 0; i < 60; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p4}\n    \n#pragma ACCEL TILE FACTOR=auto{_p6}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (int j = 0; j < 80; j++) {\n      double sum = B[i][j];\n#pragma ACCEL PARALLEL reduction=sum FACTOR=auto{_p2}\n      for (int k = 0; k < 60; k++) {\n        if (k > i) {\n          sum += A[k][i] * B[k][j];\n        }\n      }\n      B[i][j] = alpha * sum;\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.5\nr0:0 r1:0.6 r2:0.3 r3:1.0 V:0\nX:\n_p0:2\n_p1:1\n_p2:32\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:8.2\nr0:0.0 r1:0.3 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:4\n_p2:32\n_p3:o\n_p4:c\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:o\n_p4:o\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:8\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:16\n_p3:o\n_p4:c\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:10.1\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:16\n_p2:32\n_p3:o\n_p4:o\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:5.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:5\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:9.8\nr0:0.0 r1:1.0 r2:4.6 r3:1.9 V:0\nX:\n_p0:2\n_p1:16\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.5\nr0:0.0 r1:1.7 r2:5.8 r3:3.0 V:0\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:60\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:8.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.4 V:1\nX:\n_p0:2\n_p1:4\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.1\nr0:0.0 r1:0.5 r2:2.6 r3:0.8 V:0\nX:\n_p0:2\n_p1:4\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:1\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:4.9\nr0:0.1 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:4.3\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:15\n_p1:1\n_p2:32\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:8.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.4 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.7\nr0:0.0 r1:0.5 r2:0.3 r3:0.8 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:5\n_p2:5\n_p3:o\n_p4:o\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:o\n_p4:c\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:2\n_p2:16\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:4.0\nr0:0.0 r1:0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:3.9\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:2\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.5\nr0:0.0 r1:0.5 r2:6.7 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:4.3\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:2.7\nr0:0.0 r1:0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:2\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:5\n_p2:16\n_p3:o\n_p4:c\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:60\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:3.9\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.7\nr0:0.0 r1:0.9 r2:0.6 r3:1.5 V:0\nX:\n_p0:1\n_p1:4\n_p2:5\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:3\n_p3:o\n_p4:c\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:4.4\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:32\n_p2:4\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:2\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.5\nr0:0.0 r1:0.4 r2:2.5 r3:0.4 V:0\nX:\n_p0:1\n_p1:16\n_p2:32\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:12\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.0\nr0:0.0 r1:4.2 r2:17.6 r3:8.4 V:0\nX:\n_p0:1\n_p1:2\n_p2:15\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:5.0\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:3\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:10.7\nTV:0\n", "outputs":"### outputs: _p0:5\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_2mm(int ni,int nj,int nk,int nl,double alpha,double beta,double tmp[40][50],double A[40][70],double B[70][50],double C[50][80],double D[40][80])\n{\n  int i;\n  int j;\n  int k;\n  \n#pragma ACCEL PIPELINE auto{_p6}\n  \n#pragma ACCEL TILE FACTOR=auto{_p10}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 40; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p8}\n    \n#pragma ACCEL TILE FACTOR=auto{_p12}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (j = 0; j < 50; j++) {\n      tmp[i][j] = 0.0;\n      \n#pragma ACCEL PARALLEL reduction = tmp FACTOR=auto{_p4}\n      for (k = 0; k < 70; ++k) {\n        tmp[i][j] += alpha * A[i][k] * B[k][j];\n      }\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p7}\n  \n#pragma ACCEL TILE FACTOR=auto{_p11}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 40; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (j = 0; j < 80; j++) {\n      D[i][j] *= beta;\n      \n#pragma ACCEL PARALLEL reduction = D FACTOR=auto{_p5}\n      for (k = 0; k < 50; ++k) {\n        D[i][j] += tmp[i][k] * C[k][j];\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:14\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:6.1\nr0:0.0 r1:2.9 r2:1.9 r3:6.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:1\n_p5:50\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:11.5\nr0:0.0 r1:2.5 r2:1.7 r3:5.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:2\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:25\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.5\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:5\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:8\n_p11:8\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:4\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:2\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:20\n_p4:16\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.9\nr0:0.0 r1:1.8 r2:0.7 r3:1.6 V:0\nX:\n_p0:1\n_p1:10\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:4\n_p12:8\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:8\n_p11:4\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:4\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 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r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:1\n_p5:1\n_p6:o\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.6\nr0:0.0 r1:2.8 r2:1.9 r3:6.5 V:0\nX:\n_p0:32\n_p1:20\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:16\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.9\nr0:0.0 r1:0.2 r2:0.1 r3:0.3 V:1\nX:\n_p0:1\n_p1:5\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:80\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:8\n_p1:5\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:8\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:16\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:6.0\nr0:0.0 r1:0.7 r2:0.4 r3:1.3 V:0\nX:\n_p0:4\n_p1:8\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:70\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:11.7\nr0:0.0 r1:3.1 r2:2.2 r3:6.5 V:0\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:4\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:4\n_p12:1\n_p13:1\nY:5.6\nr0:0.0 r1:0.4 r2:0.2 r3:0.7 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:5\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:10.0\nr0:0.0 r1:0.2 r2:0.1 r3:0.4 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:20\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:2\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:7\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:50\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.2\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:32\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:4\n_p6:o\n_p7:o\n_p8:f\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:50\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.9\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:7\n_p5:25\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.8\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:1\n_p5:5\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:4\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:2\n_p12:1\n_p13:1\nY:5.7\nr0:0.0 r1:1.5 r2:0.9 r3:3.3 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:8\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:c\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:40\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:11.4\nTV:0\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:1\n_p5:50\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_syr2k(double alpha,double beta,double C[80][80],double A[80][60],double B[80][60])\n{\n  int i;\n  int j;\n  int k;\n//BLAS PARAMS\n//UPLO  = 'L'\n//TRANS = 'N'\n//A is NxM\n//B is NxM\n//C is NxN\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      if (j <= i) {\n        C[i][j] *= beta;\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p5}\n    \n#pragma ACCEL TILE FACTOR=auto{_p7}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (k = 0; k < 60; k++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        if (j <= i) {\n          C[i][j] += A[j][k] * alpha * B[i][k] + B[j][k] * alpha * A[i][k];\n        }\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.2\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:5\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:4\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:5\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.5\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:2.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:8\n_p2:2\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.2\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:2\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:60\nY:7.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:8\nY:6.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.5\nr0:0.0 r1:0.3 r2:0.2 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.8\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 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V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:10\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:6\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:10\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:5.1\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:5\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:4\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:3\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:5\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:5\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:5\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.2\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:4\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.8\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:8\nY:6.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:10\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:6\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:3\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:20\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:7.6\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:2\n_p2:6\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_syr2k(double alpha,double beta,double C[80][80],double A[80][60],double B[80][60])\n{\n  int i;\n  int j;\n  int k;\n//BLAS PARAMS\n//UPLO  = 'L'\n//TRANS = 'N'\n//A is NxM\n//B is NxM\n//C is NxN\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      if (j <= i) {\n        C[i][j] *= beta;\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p5}\n    \n#pragma ACCEL TILE FACTOR=auto{_p7}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (k = 0; k < 60; k++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        if (j <= i) {\n          C[i][j] += A[j][k] * alpha * B[i][k] + B[j][k] * alpha * A[i][k];\n        }\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:2.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:4\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:3\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:8\nY:6.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:2\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:5\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:3.7\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.9\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:80\n_p1:1\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:5\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:6\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:60\nY:7.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:2\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:5.7\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:4\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:2\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:5\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.1 r1:0.2 r2:0.1 r3:0.0 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V:0\nX:\n_p0:1\n_p1:2\n_p2:5\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:5\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:4\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.2\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.4\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:6\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:8\nY:6.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:4.3\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:6.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:5\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:7.2\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:16\n_p2:1\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[200][240],double ey[200][240],double hz[200][240],double _fict_[100])\n{\n  int t;\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 100; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 240; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 0; j < 240; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (i = 0; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n      for (j = 1; j < 240; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 200 - 1; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 240 - 1; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n}\n ```\nX:\n_p0:32\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:f\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:8\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.5 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.3\nr0:0.1 r1:0.1 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:25\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:199\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.3\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.4 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:2\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.6 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:8\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:8\n_p8:o\n_p9:o\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:239\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:2.2\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:8\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:10\n_p6:1\n_p7:4\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:25\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:239\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:2.0\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:1\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.0\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:10\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:16\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.6 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:2\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.6 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:8\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.5 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.2 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:2\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.2\nr0:0.5 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:2\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:4\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.6 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:4\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-3.2\nr0:0.5 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:16\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.6 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.3\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:4\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.1\nr0:0.6 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:239\n_p7:1\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-0.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-0.5\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:8\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:10\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:1\n_p8:o\n_p9:f\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:10\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:2.2\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nTY:4.1\nTV:0\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:10\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[60][80],double ey[60][80],double hz[60][80],double _fict_[40])\n{\n  int t;\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 40; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 60; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 60; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 1; j < 80; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n    for (i = 0; i < 59; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 79; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.7\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:4\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:6.7\nr0:0.0 r1:0.7 r2:0.3 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:8\nY:3.0\nr0:0.1 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:79\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.5\nr0:0.0 r1:0.6 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:2\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:10\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:7.9\nr0:0.0 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:8\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:15\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:79\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:79\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:60\n_p15:8\nY:3.1\nr0:0.1 r1:2.4 r2:1.2 r3:2.6 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:79\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.6\nr0:0.0 r1:0.6 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:8\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.6\nr0:0.0 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:32\n_p1:1\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:79\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:2.9\nr0:0.0 r1:0.5 r2:0.2 r3:0.4 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.7\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:59\n_p14:60\n_p15:59\nY:8.8\nr0:0.0 r1:0.4 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:32\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.8\nr0:0.0 r1:0.4 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:59\nY:5.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:5\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.1\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.6\nr0:0.0 r1:1.3 r2:0.7 r3:0.9 V:0\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:6.7\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:32\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:8\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:4\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.6\nr0:0.0 r1:0.6 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:7.4\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:4\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:59\nY:6.7\nr0:0.0 r1:0.7 r2:0.3 r3:0.6 V:1\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:2\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.1\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:79\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.7\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:59\n_p14:60\n_p15:1\nY:3.8\nr0:0.0 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:f\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:8.1\nr0:0.0 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:79\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.7\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nTY:4.7\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[60][80],double ey[60][80],double hz[60][80],double _fict_[40])\n{\n  int t;\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 40; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 60; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 60; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 1; j < 80; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n    for (i = 0; i < 59; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 79; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.7\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:2\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.6\nr0:0.0 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:4\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:4\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:59\nY:5.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:8\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:16\n_p3:16\n_p4:2\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:2\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.6\nr0:0.0 r1:0.6 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:3.6\nr0:0.0 r1:0.6 r2:0.3 r3:0.5 V:1\nTY:5.6\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:16\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[200][240],double ey[200][240],double hz[200][240],double _fict_[100])\n{\n  int t;\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 100; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 240; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 0; j < 240; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (i = 0; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n      for (j = 1; j < 240; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 200 - 1; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 240 - 1; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:16\n_p2:199\n_p3:5\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:25\n_p1:16\n_p2:199\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:239\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:100\n_p1:32\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:239\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.5 r1:0.9 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:2\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:16\n_p8:o\n_p9:o\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:16\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:32\n_p1:16\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:199\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:32\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.6 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.5 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:239\n_p8:o\n_p9:o\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:20\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:32\n_p6:32\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.4\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:32\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.6 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-0.2\nr0:0.2 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.5 r1:0.6 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:1\n_p7:239\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:8\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.2 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:239\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:16\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:8\n_p8:o\n_p9:f\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:6\n_p6:1\n_p7:2\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:8\n_p8:o\n_p9:f\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:4\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:239\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:2.6\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:8\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.5 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:199\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:c\n_p9:o\n_p10:o\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:32\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.1\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:199\n_p3:20\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:199\n_p3:2\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.5 r1:0.9 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:239\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:239\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.7\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:16\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.6 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:32\n_p8:o\n_p9:f\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.4 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-3.3\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.5 r1:0.9 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:16\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.6 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.4 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-0.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:1\n_p8:o\n_p9:f\n_p10:c\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:239\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:2\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:32\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.3 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:32\n_p7:1\n_p8:o\n_p9:o\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:199\n_p3:5\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:0.5\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_covariance(int m,int n,double float_n,double data[100][80],double cov[80][80],double mean[80])\n{\n  int i;\n  int j;\n  int k;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p6}\n  \n#pragma ACCEL TILE FACTOR=auto{_p10}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (j = 0; j < 80; j++) {\n    mean[j] = 0.0;\n    \n#pragma ACCEL PARALLEL reduction=mean FACTOR=auto{_p3}\n    for (i = 0; i < 100; i++) {\n      mean[j] += data[i][j];\n    }\n    mean[j] /= float_n;\n  }\n  \n#pragma ACCEL PIPELINE auto{_p7}\n  \n#pragma ACCEL TILE FACTOR=auto{_p11}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 100; i++) {\n    \n#pragma ACCEL PARALLEL reduction=data FACTOR=auto{_p4}\n    for (j = 0; j < 80; j++) {\n      data[i][j] -= mean[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    for (j = i; j < 80; j++) {\n      cov[i][j] = 0.0;\n      \n#pragma ACCEL PARALLEL reduction=cov FACTOR=auto{_p5}\n      for (k = 0; k < 100; k++) {\n        cov[i][j] += data[k][i] * data[k][j];\n      }\n      cov[i][j] /= float_n - 1.0;\n      cov[j][i] = cov[i][j];\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:32\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\nY:8.1\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:32\n_p6:f\n_p7:f\n_p8:o\n_p9:c\n_p10:1\n_p11:4\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:16\n_p6:f\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:5\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.2\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:8\n_p1:10\n_p2:1\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:80\nY:4.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\nY:8.8\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:2\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:1\n_p5:100\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:4\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.1\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:32\n_p6:f\n_p7:o\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:100\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:7.1\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:4\n_p2:32\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.6\nr0:0.0 r1:0.5 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:8\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.1\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:1\n_p6:f\n_p7:c\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:5\n_p6:o\n_p7:o\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:32\n_p4:1\n_p5:16\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.6\nr0:0.0 r1:0.4 r2:0.1 r3:0.0 V:1\nX:\n_p0:4\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:100\n_p12:80\nY:4.4\nr0:0.0 r1:0.4 r2:0.2 r3:0.3 V:1\nX:\n_p0:8\n_p1:2\n_p2:1\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:8\n_p11:1\n_p12:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:4\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.4\nr0:0.0 r1:0.4 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:4\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:32\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:32\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.7\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:32\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.7\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 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V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:100\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:4\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.3\nr0:0.0 r1:0.3 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:80\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:16\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.5\nr0:0.0 r1:0.3 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.0\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:10\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.6\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:8\n_p1:2\n_p2:20\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:4\nY:4.3\nr0:0.0 r1:0.4 r2:0.2 r3:0.1 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V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\nY:7.8\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:5\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.2\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:4\n_p1:4\n_p2:10\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:8\nY:4.3\nr0:0.0 r1:0.6 r2:0.2 r3:0.3 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.2\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:1.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:5\n_p6:f\n_p7:f\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:100\n_p12:80\nY:4.4\nr0:0.0 r1:0.3 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:25\n_p6:f\n_p7:f\n_p8:c\n_p9:c\n_p10:1\n_p11:2\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:1\n_p4:1\n_p5:25\n_p6:f\n_p7:f\n_p8:c\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:5\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:2\n_p12:1\nY:3.0\nr0:0.0 r1:0.2 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:1\n_p5:16\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.6\nr0:0.0 r1:0.3 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:100\n_p6:f\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:5.2\nr0:0.1 r1:0.3 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:8\n_p6:f\n_p7:o\n_p8:c\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:10\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:8\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:8\n_p1:1\n_p2:10\n_p3:32\n_p4:1\n_p5:16\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:5\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:4\n_p12:1\nY:3.0\nr0:0.0 r1:0.3 r2:0.3 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:1\n_p5:10\n_p6:f\n_p7:f\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:25\n_p2:20\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:8\n_p11:1\n_p12:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:3.8\nTV:1\n", "outputs":"### outputs: _p0:8\n_p1:4\n_p2:1\n_p3:32\n_p4:1\n_p5:16\n_p6:c\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:80\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_2mm(int ni,int nj,int nk,int nl,double alpha,double beta,double tmp[40][50],double A[40][70],double B[70][50],double C[50][80],double D[40][80])\n{\n  int i;\n  int j;\n  int k;\n  \n#pragma ACCEL PIPELINE auto{_p6}\n  \n#pragma ACCEL TILE FACTOR=auto{_p10}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 40; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p8}\n    \n#pragma ACCEL TILE FACTOR=auto{_p12}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (j = 0; j < 50; j++) {\n      tmp[i][j] = 0.0;\n      \n#pragma ACCEL PARALLEL reduction = tmp FACTOR=auto{_p4}\n      for (k = 0; k < 70; ++k) {\n        tmp[i][j] += alpha * A[i][k] * B[k][j];\n      }\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p7}\n  \n#pragma ACCEL TILE FACTOR=auto{_p11}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 40; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (j = 0; j < 80; j++) {\n      D[i][j] *= beta;\n      \n#pragma ACCEL PARALLEL reduction = D FACTOR=auto{_p5}\n      for (k = 0; k < 50; ++k) {\n        D[i][j] += tmp[i][k] * C[k][j];\n      }\n    }\n  }\n}\n ```\nX:\n_p0:16\n_p1:2\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:c\n_p7:c\n_p8:c\n_p9:f\n_p10:40\n_p11:2\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:7\n_p5:50\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:4\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:1.2 r2:0.7 r3:2.6 V:0\nX:\n_p0:10\n_p1:20\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:4\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.0\nr0:0.0 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:7\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:5\n_p4:14\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:6.1\nr0:0.0 r1:0.2 r2:0.1 r3:0.4 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:32\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:10.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:20\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.3\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:1\n_p5:32\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:8.0\nr0:0.0 r1:2.7 r2:1.8 r3:6.3 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:10\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:10.7\nr0:0.0 r1:0.4 r2:0.2 r3:0.8 V:0\nX:\n_p0:1\n_p1:10\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:3.1 r2:1.8 r3:6.6 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:14\n_p5:8\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.5\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:70\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:11.5\nr0:0.0 r1:2.6 r2:1.6 r3:5.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:8\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.8\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:10\n_p5:1\n_p6:o\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:4\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:4\n_p6:f\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.3\nr0:0.0 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.1\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:50\n_p6:f\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:10.8\nr0:0.0 r1:2.5 r2:1.6 r3:5.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:1\n_p5:32\n_p6:f\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:8.0\nr0:0.0 r1:2.7 r2:1.8 r3:6.3 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:4\n_p11:1\n_p12:1\n_p13:1\nY:3.5\nr0:0.0 r1:1.4 r2:1.3 r3:4.7 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:50\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:5.8\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:20\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:80\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_syr2k(double alpha,double beta,double C[80][80],double A[80][60],double B[80][60])\n{\n  int i;\n  int j;\n  int k;\n//BLAS PARAMS\n//UPLO  = 'L'\n//TRANS = 'N'\n//A is NxM\n//B is NxM\n//C is NxN\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      if (j <= i) {\n        C[i][j] *= beta;\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p5}\n    \n#pragma ACCEL TILE FACTOR=auto{_p7}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (k = 0; k < 60; k++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        if (j <= i) {\n          C[i][j] += A[j][k] * alpha * B[i][k] + B[j][k] * alpha * A[i][k];\n        }\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.7\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:80\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:5\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:4\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:8\nY:6.2\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:4\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:8\nY:6.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:5\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:3.7\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:2\n_p2:20\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.2\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:2\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.4\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.1 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:4\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:3\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.2\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:3\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.2\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:8\n_p2:3\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:10\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:4\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:2\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:3\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.4\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:4\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:3\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:60\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:6.5\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:6\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:8\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[400],double x2[400],double y_1[400],double y_2[400],double A[400][400])\n{\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 400; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 400; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n}\n ```\nX:\n_p0:25\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:8\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:25\n_p3:10\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:4.4\nr0:0.3 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:4\n_p7:1\nY:1.1\nr0:0.4 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:400\nY:6.2\nr0:0.4 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:4\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:6.7\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:20\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:6.7\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:25\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:3.5\nr0:0.3 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.0\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:2\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:4.3\nr0:0.3 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:5\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.5\nr0:0.2 r1:0.0 r2:0 r3:0.0 V:1\nX:\n_p0:16\n_p1:5\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:2\n_p7:1\nY:4.9\nr0:1.0 r1:1.5 r2:0.9 r3:3.2 V:0\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:8\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:5\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:20\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:7.8\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:2\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:2\n_p7:400\nY:1.1\nr0:0.5 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:8\n_p7:400\nY:6.2\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:16\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.2 r1:0.4 r2:0.3 r3:0.7 V:1\nX:\n_p0:1\n_p1:400\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:25\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:10\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:1\n_p7:400\nY:7.1\nr0:0.4 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:5\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.2 r1:0.4 r2:0.2 r3:0.7 V:1\nX:\n_p0:25\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.1\nr0:0.3 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:7.1\nr0:0.5 r1:0.3 r2:0.2 r3:0.7 V:1\nX:\n_p0:5\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:4.2\nr0:0.2 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:5\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:3.0\nr0:0.2 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:2\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:4.1\nr0:0.2 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.5\nr0:0.3 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:5.7\nr0:0.2 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:2\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:1\n_p7:400\nY:6.7\nr0:0.5 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:32\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.0\nr0:0.3 r1:0.4 r2:0.2 r3:0.3 V:1\nX:\n_p0:16\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:400\nY:7.2\nr0:0.5 r1:0.1 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:400\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:8.0\nr0:0.2 r1:2.6 r2:1.6 r3:5.1 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:16\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:16\n_p1:16\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:1\nY:5.9\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:20\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:25\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:8\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:5.0\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:16\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:25\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:25\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:10\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:6.9\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:5\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:4.8\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:5\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:3.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:400\n_p7:1\nY:8.0\nr0:0.2 r1:2.6 r2:1.6 r3:5.1 V:0\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:8\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:10\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:7.2\nr0:0.3 r1:3.2 r2:1.9 r3:6.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:25\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:6.0\nr0:0.3 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.6\nr0:0.2 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:16\n_p1:20\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:2\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:2\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:3.9\nr0:0.1 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:5.5\nr0:0.2 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:1\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:25\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:20\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:6.8\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:8\n_p7:1\nY:5.8\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:25\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.1\nr0:0.3 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:5.1\nr0:0.2 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:16\n_p1:16\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.1\nr0:0.5 r1:0.1 r2:0.1 r3:0.1 V:1\nX:\n_p0:5\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:1\nY:5.1\nr0:0.2 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:2\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:3.5\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:10\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:2\n_p7:1\nY:5.7\nr0:0.3 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:8\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:16\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:8\n_p7:1\nY:5.8\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:400\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:400\nY:1.1\nr0:0.4 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:1\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:3.2\nr0:0.1 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:10\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:6.8\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:2\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:8\n_p7:400\nY:5.9\nr0:0.5 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:1\nY:5.6\nr0:0.3 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:8\n_p1:16\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:4\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:2\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:5.3\nr0:0.3 r1:0.3 r2:0.2 r3:0.6 V:1\nTY:5.6\nTV:1\n", "outputs":"### outputs: _p0:8\n_p1:16\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[200][240],double ey[200][240],double hz[200][240],double _fict_[100])\n{\n  int t;\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 100; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 240; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 0; j < 240; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (i = 0; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n      for (j = 1; j < 240; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 200 - 1; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 240 - 1; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-0.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:16\n_p8:o\n_p9:f\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:0\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:c\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:5\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.9\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:199\n_p3:10\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:16\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:16\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:8\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.5 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:8\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:199\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:2.0\nr0:0.6 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:8\n_p1:16\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:199\n_p14:1\n_p15:199\nY:3.4\nr0:0.6 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.5 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:200\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:2\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-3.2\nr0:0.9 r1:0.9 r2:0.6 r3:1.0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:2\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.6 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:239\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:32\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.1\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.3\nr0:0.1 r1:0.1 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:8\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-0.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:2\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-3.2\nr0:0.9 r1:0.9 r2:0.6 r3:1.0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:239\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.7\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nTY:1.4\nTV:0\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:32\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[400],double x2[400],double y_1[400],double y_2[400],double A[400][400])\n{\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 400; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 400; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:4\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:6.9\nr0:0.2 r1:1.5 r2:0.8 r3:2.6 V:0\nX:\n_p0:32\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:10\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:400\nY:6.6\nr0:0.4 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:5\n_p2:400\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:5.0\nr0:1.1 r1:1.5 r2:0.9 r3:3.2 V:0\nX:\n_p0:1\n_p1:4\n_p2:5\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:4.3\nr0:0.8 r1:1.2 r2:0.7 r3:2.6 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:400\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.3\nr0:0.2 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:25\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:8.7\nr0:3.2 r1:0.6 r2:0.4 r3:0.8 V:0\nX:\n_p0:16\n_p1:1\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:2\n_p7:8\nY:6.4\nr0:0.1 r1:0.4 r2:0.2 r3:0.0 V:1\nX:\n_p0:16\n_p1:16\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:2\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:2\n_p7:1\nY:5.7\nr0:0.3 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:10\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:7.8\nr0:0.4 r1:0.4 r2:0.3 r3:0.7 V:1\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:25\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:8.5\nr0:0.2 r1:0.3 r2:0.2 r3:0.7 V:1\nX:\n_p0:16\n_p1:16\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:400\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:2\nY:7.9\nr0:0.2 r1:2.8 r2:1.7 r3:5.8 V:0\nX:\n_p0:1\n_p1:1\n_p2:25\n_p3:25\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.6\nr0:0.4 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:5\n_p2:10\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:4.6\nr0:1.0 r1:1.5 r2:0.9 r3:3.2 V:0\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:4.1\nr0:0.1 r1:0.9 r2:0.5 r3:1.3 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:5\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.9\nr0:0.1 r1:0.0 r2:0 r3:0.0 V:1\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:4\n_p7:1\nY:5.9\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:3.5\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:16\n_p1:16\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:8\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:6.0\nr0:0.1 r1:1.5 r2:0.8 r3:2.6 V:0\nX:\n_p0:20\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:2\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:2\n_p7:400\nY:0.1\nr0:0.4 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:5\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:4.3\nr0:0.1 r1:2.6 r2:1.5 r3:5.1 V:0\nX:\n_p0:1\n_p1:1\n_p2:25\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.4\nr0:0.3 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:16\n_p1:16\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:4\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:7.2\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:25\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:2\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:5.3\nr0:0.3 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:4.5\nr0:0.1 r1:0.6 r2:0.3 r3:0.6 V:1\nX:\n_p0:25\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:2\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:8\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.2 r1:0.3 r2:0.2 r3:0.7 V:1\nX:\n_p0:16\n_p1:1\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:2\n_p7:400\nY:6.7\nr0:0.1 r1:0.6 r2:0.3 r3:0.7 V:1\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:2\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:400\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:5\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:400\nY:7.0\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:8\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:5\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:4.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:1\nY:5.9\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:400\n_p7:1\nY:5.8\nr0:0.4 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:400\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:10\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:5.9\nr0:0.2 r1:0.4 r2:0.2 r3:0.7 V:1\nX:\n_p0:20\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:1\n_p7:400\nY:7.2\nr0:0.4 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:2.6\nr0:0.2 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:8\n_p1:16\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:4\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.4\nr0:0.3 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:400\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.9\nr0:0.2 r1:0.6 r2:0.3 r3:0.6 V:1\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:2\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:8\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:25\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:6.0\nr0:0.3 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:20\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:7.1\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:32\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:2\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:25\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:4.8\nr0:0.6 r1:0.6 r2:0.4 r3:1.3 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.2\nr0:0.1 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:2\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:8\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:4.3\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:16\n_p3:2\n_p4:o\n_p5:o\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[200][240],double ey[200][240],double hz[200][240],double _fict_[100])\n{\n  int t;\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 100; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 240; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 0; j < 240; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (i = 0; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n      for (j = 1; j < 240; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 200 - 1; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 240 - 1; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n}\n ```\nX:\n_p0:32\n_p1:16\n_p2:199\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:10\n_p6:1\n_p7:4\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.3\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:5\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.8\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.5 r1:0.6 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:4\n_p8:o\n_p9:f\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:5\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.9\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:8\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.5 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:8\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.5 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:16\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:4\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:8\n_p8:o\n_p9:f\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:239\n_p8:o\n_p9:f\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:239\n_p8:o\n_p9:o\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:2\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-3.2\nr0:0.9 r1:0.9 r2:0.6 r3:1.0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:2\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.2\nr0:0.5 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:2\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:25\n_p1:16\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:2\n_p8:o\n_p9:f\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:32\n_p8:o\n_p9:o\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:2.6\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:32\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.2\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:20\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:199\n_p3:1\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:239\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.5 r1:0.9 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-3.3\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-0.0\nr0:0.1 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-3.3\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:8\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.5 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.8\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:32\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.5 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.6 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:6\n_p6:1\n_p7:239\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.5\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:4\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.1\nr0:0.6 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:32\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.3\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.5 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:1\n_p7:239\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.4 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:199\n_p3:1\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:2\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:16\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:1\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:4\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:199\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:2.0\nr0:0.6 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:c\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:1\n_p8:o\n_p9:o\n_p10:c\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:32\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.6 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:32\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.6\nr0:0.5 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:2\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:1.5\nr0:0.7 r1:1.0 r2:0.7 r3:1.0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:8\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:f\n_p10:c\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:199\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:2.0\nr0:0.6 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-0.5\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:32\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.5 r1:0.9 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:4\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.4\nr0:0.5 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:32\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:2.0\nr0:0.6 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:16\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.6 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:c\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.4 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:32\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.8\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:1\n_p7:2\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:8\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:199\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:32\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:4\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:5\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.3\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:1\n_p7:239\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.9\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:1\n_p7:4\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.3 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-3.3\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:1\n_p7:16\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:2.0\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:5\n_p6:1\n_p7:4\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.4\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:32\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:16\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:199\n_p3:1\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:f\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:4.1\nTV:0\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:10\n_p6:1\n_p7:239\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[120], double x2[120], double y_1[120], double y_2[120], double A[120][120])\n{\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 120; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 120; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.3\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:1\n_p2:8\n_p3:24\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:9.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:3\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:2\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:6\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:4\nY:9.3\nr0:0.0 r1:0.8 r2:0.5 r3:1.5 V:0\nX:\n_p0:1\n_p1:24\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:120\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:3\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:120\n_p7:8\nY:8.4\nr0:0.1 r1:0.4 r2:0.2 r3:0.8 V:1\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:15\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:8.0\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:6\n_p2:1\n_p3:6\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:9.2\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:2\n_p1:1\n_p2:8\n_p3:15\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:9.0\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nTY:8.2\nTV:0\n", "outputs":"### outputs: _p0:1\n_p1:5\n_p2:24\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_2mm(int ni,int nj,int nk,int nl,double alpha,double beta,double tmp[40][50],double A[40][70],double B[70][50],double C[50][80],double D[40][80])\n{\n  int i;\n  int j;\n  int k;\n  \n#pragma ACCEL PIPELINE auto{_p6}\n  \n#pragma ACCEL TILE FACTOR=auto{_p10}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 40; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p8}\n    \n#pragma ACCEL TILE FACTOR=auto{_p12}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (j = 0; j < 50; j++) {\n      tmp[i][j] = 0.0;\n      \n#pragma ACCEL PARALLEL reduction = tmp FACTOR=auto{_p4}\n      for (k = 0; k < 70; ++k) {\n        tmp[i][j] += alpha * A[i][k] * B[k][j];\n      }\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p7}\n  \n#pragma ACCEL TILE FACTOR=auto{_p11}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 40; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (j = 0; j < 80; j++) {\n      D[i][j] *= beta;\n      \n#pragma ACCEL PARALLEL reduction = D FACTOR=auto{_p5}\n      for (k = 0; k < 50; ++k) {\n        D[i][j] += tmp[i][k] * C[k][j];\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.0\nr0:0.0 r1:2.9 r2:1.9 r3:6.5 V:0\nX:\n_p0:1\n_p1:8\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:40\n_p11:2\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:50\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:7.0\nr0:0.0 r1:2.5 r2:1.6 r3:5.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:8\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.7\nr0:0.0 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:10.6\nr0:0.0 r1:2.5 r2:1.6 r3:5.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:32\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.0\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:4\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.0\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.2 V:1\nX:\n_p0:1\n_p1:10\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:2\n_p12:1\n_p13:1\nY:5.6\nr0:0.0 r1:0.6 r2:0.4 r3:1.3 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:1\n_p5:1\n_p6:o\n_p7:f\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:9.9\nr0:0.0 r1:2.9 r2:1.9 r3:6.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:50\n_p6:o\n_p7:o\n_p8:f\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:1.2 r2:0.7 r3:2.6 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:16\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.3\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:2\n_p12:50\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:40\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:5.8\nr0:1.0 r1:1.5 r2:1.0 r3:3.3 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:8\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.3\nr0:0.0 r1:2.4 r2:1.6 r3:5.7 V:0\nX:\n_p0:1\n_p1:5\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:40\n_p11:8\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:8\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:2\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:8\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:c\n_p7:c\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:50\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.9\nr0:0.0 r1:2.9 r2:1.9 r3:6.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:50\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:10.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.3\nr0:0.0 r1:2.4 r2:1.6 r3:5.7 V:0\nX:\n_p0:1\n_p1:8\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:40\n_p11:2\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:8\n_p12:2\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:20\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:2\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:1.5 r2:0.9 r3:3.3 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:7\n_p5:32\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.2\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:5\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:1.5 r2:0.9 r3:3.3 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:10\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.9\nr0:0.0 r1:0.2 r2:0.1 r3:0.3 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:10\n_p4:1\n_p5:16\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:8\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:2\nY:5.7\nr0:0.0 r1:0.4 r2:0.2 r3:0.7 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:32\n_p6:o\n_p7:o\n_p8:f\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:5\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:7\n_p5:4\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.2\nr0:0.0 r1:0.0 r2:0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:8\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:8\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:50\n_p6:o\n_p7:o\n_p8:f\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:10.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:8\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:10.9\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_2mm(int ni,int nj,int nk,int nl,double alpha,double beta,double tmp[40][50],double A[40][70],double B[70][50],double C[50][80],double D[40][80])\n{\n  int i;\n  int j;\n  int k;\n  \n#pragma ACCEL PIPELINE auto{_p6}\n  \n#pragma ACCEL TILE FACTOR=auto{_p10}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 40; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p8}\n    \n#pragma ACCEL TILE FACTOR=auto{_p12}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (j = 0; j < 50; j++) {\n      tmp[i][j] = 0.0;\n      \n#pragma ACCEL PARALLEL reduction = tmp FACTOR=auto{_p4}\n      for (k = 0; k < 70; ++k) {\n        tmp[i][j] += alpha * A[i][k] * B[k][j];\n      }\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p7}\n  \n#pragma ACCEL TILE FACTOR=auto{_p11}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 40; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (j = 0; j < 80; j++) {\n      D[i][j] *= beta;\n      \n#pragma ACCEL PARALLEL reduction = D FACTOR=auto{_p5}\n      for (k = 0; k < 50; ++k) {\n        D[i][j] += tmp[i][k] * C[k][j];\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:70\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:80\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:5\n_p4:70\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:8.8\nr0:0.0 r1:0.8 r2:0.5 r3:0.7 V:1\nX:\n_p0:1\n_p1:8\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:2.3 r2:1.4 r3:5.2 V:0\nX:\n_p0:1\n_p1:5\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:1.5 r2:0.9 r3:3.3 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:70\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:9.0\nr0:0.0 r1:0.7 r2:0.4 r3:0.4 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:50\n_p6:o\n_p7:o\n_p8:f\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:10.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:2\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:40\n_p11:1\n_p12:1\n_p13:1\nY:3.7\nr0:0.0 r1:2.9 r2:1.9 r3:6.5 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:14\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:6.1\nr0:0.0 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:16\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:5\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.2\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:20\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:80\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:32\n_p5:32\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:10\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:4\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.1\nr0:0.0 r1:0.0 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r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:10\n_p4:16\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.9\nr0:0.0 r1:0.4 r2:0.2 r3:0.8 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:4\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.7\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:5\n_p4:8\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.4 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:25\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.5\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.3\nr0:0.0 r1:2.4 r2:1.6 r3:5.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:10\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:6.0\nr0:0.0 r1:0.4 r2:0.2 r3:0.8 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:50\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:10\n_p1:5\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:8\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:40\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:80\nY:5.8\nr0:1.0 r1:1.5 r2:1.0 r3:3.3 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:7\n_p5:2\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.9\nr0:0.0 r1:0.0 r2:0 r3:0.0 V:1\nX:\n_p0:1\n_p1:5\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:2\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:14\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:6.1\nr0:0.0 r1:0.2 r2:0.1 r3:0.3 V:1\nX:\n_p0:1\n_p1:10\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:40\n_p11:2\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:8\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:2\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.7\nr0:0.0 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:5\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:40\n_p11:2\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:16\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.3\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:32\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.7\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:2\n_p1:10\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:4\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:50\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.0\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:5\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:40\n_p11:8\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:7\n_p5:25\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.8\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:1\n_p5:4\n_p6:f\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.7\nr0:0.0 r1:2.4 r2:1.6 r3:5.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:70\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:11.3\nr0:0.0 r1:2.6 r2:1.6 r3:5.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:16\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.7 r2:0.4 r3:1.3 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:25\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.4\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:16\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:6.0\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_2mm(int ni,int nj,int nk,int nl,double alpha,double beta,double tmp[40][50],double A[40][70],double B[70][50],double C[50][80],double D[40][80])\n{\n  int i;\n  int j;\n  int k;\n  \n#pragma ACCEL PIPELINE auto{_p6}\n  \n#pragma ACCEL TILE FACTOR=auto{_p10}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 40; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p8}\n    \n#pragma ACCEL TILE FACTOR=auto{_p12}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (j = 0; j < 50; j++) {\n      tmp[i][j] = 0.0;\n      \n#pragma ACCEL PARALLEL reduction = tmp FACTOR=auto{_p4}\n      for (k = 0; k < 70; ++k) {\n        tmp[i][j] += alpha * A[i][k] * B[k][j];\n      }\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p7}\n  \n#pragma ACCEL TILE FACTOR=auto{_p11}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 40; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (j = 0; j < 80; j++) {\n      D[i][j] *= beta;\n      \n#pragma ACCEL PARALLEL reduction = D FACTOR=auto{_p5}\n      for (k = 0; k < 50; ++k) {\n        D[i][j] += tmp[i][k] * C[k][j];\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:14\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:6.0\nr0:0.0 r1:2.8 r2:1.9 r3:6.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:25\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:25\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.4\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:14\n_p5:50\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.5\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:1\n_p4:1\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:6.0\nr0:0.0 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:4\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:2\n_p12:1\n_p13:1\nY:5.7\nr0:0.0 r1:1.2 r2:0.7 r3:2.6 V:0\nX:\n_p0:1\n_p1:5\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:2\n_p12:1\n_p13:1\nY:5.7\nr0:0.0 r1:1.5 r2:0.9 r3:3.3 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:25\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:2.5 r2:1.6 r3:5.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.5\nr0:0.0 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r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:8\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:2\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.2\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:70\n_p5:1\n_p6:o\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:5\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:50\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:3.1 r2:1.8 r3:6.6 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.3\nr0:0.0 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:10\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:80\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:40\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:25\n_p6:o\n_p7:o\n_p8:f\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:14\n_p5:1\n_p6:o\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:6.0\nr0:0.0 r1:2.8 r2:1.9 r3:6.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:10\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.2\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:40\n_p1:2\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:20\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:1\n_p5:1\n_p6:o\n_p7:f\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:11.3\nr0:0.0 r1:2.9 r2:1.9 r3:6.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:o\n_p7:f\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:11.0\nr0:0.0 r1:2.9 r2:1.9 r3:6.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:5\n_p4:8\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.4 V:1\nX:\n_p0:1\n_p1:4\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:4\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:2\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:2\n_p11:1\n_p12:1\n_p13:1\nY:3.5\nr0:0.0 r1:1.4 r2:1.2 r3:4.8 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:5\n_p4:1\n_p5:8\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:80\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.5\nr0:0.0 r1:2.5 r2:1.6 r3:5.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:1\n_p5:4\n_p6:f\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:10.8\nr0:0.0 r1:2.5 r2:1.6 r3:5.7 V:0\nX:\n_p0:1\n_p1:32\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:8\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:32\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.8\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:2\n_p1:8\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:5.8\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:40\n_p11:2\n_p12:1\n_p13:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_covariance(int m,int n,double float_n,double data[100][80],double cov[80][80],double mean[80])\n{\n  int i;\n  int j;\n  int k;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p6}\n  \n#pragma ACCEL TILE FACTOR=auto{_p10}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (j = 0; j < 80; j++) {\n    mean[j] = 0.0;\n    \n#pragma ACCEL PARALLEL reduction=mean FACTOR=auto{_p3}\n    for (i = 0; i < 100; i++) {\n      mean[j] += data[i][j];\n    }\n    mean[j] /= float_n;\n  }\n  \n#pragma ACCEL PIPELINE auto{_p7}\n  \n#pragma ACCEL TILE FACTOR=auto{_p11}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 100; i++) {\n    \n#pragma ACCEL PARALLEL reduction=data FACTOR=auto{_p4}\n    for (j = 0; j < 80; j++) {\n      data[i][j] -= mean[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    for (j = i; j < 80; j++) {\n      cov[i][j] = 0.0;\n      \n#pragma ACCEL PARALLEL reduction=cov FACTOR=auto{_p5}\n      for (k = 0; k < 100; k++) {\n        cov[i][j] += data[k][i] * data[k][j];\n      }\n      cov[i][j] /= float_n - 1.0;\n      cov[j][i] = cov[i][j];\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:1\n_p5:10\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:5\n_p2:32\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.6\nr0:0.0 r1:0.5 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:4\n_p12:1\nY:3.3\nr0:0.0 r1:0.3 r2:0.3 r3:0.1 V:1\nX:\n_p0:8\n_p1:10\n_p2:32\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:2\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:32\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.6\nr0:0.0 r1:0.5 r2:0.2 r3:0.1 V:1\nX:\n_p0:8\n_p1:2\n_p2:20\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:2\n_p12:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:8\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:4\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:80\nY:4.4\nr0:0.0 r1:0.4 r2:0.2 r3:0.3 V:1\nX:\n_p0:8\n_p1:10\n_p2:10\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:8\nY:4.3\nr0:0.0 r1:0.4 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:2\n_p6:o\n_p7:o\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:10\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.5\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:20\n_p2:10\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:8\nY:4.3\nr0:0.0 r1:0.4 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:1\n_p5:16\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.6\nr0:0.0 r1:0.4 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:1.5\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:80\n_p11:100\n_p12:8\nY:4.3\nr0:0.0 r1:0.4 r2:0.1 r3:0.2 V:1\nX:\n_p0:8\n_p1:4\n_p2:20\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:4\nY:4.3\nr0:0.0 r1:0.4 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:2\n_p12:1\nY:3.3\nr0:0.1 r1:0.3 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:20\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.0\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:25\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.0\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:100\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:7.2\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:4\n_p12:1\nY:1.4\nr0:0.0 r1:0.3 r2:0.3 r3:0.1 V:1\nX:\n_p0:8\n_p1:5\n_p2:10\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:8\nY:4.3\nr0:0.0 r1:0.3 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.7\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:8\n_p1:2\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:8\n_p11:8\n_p12:1\nY:3.6\nr0:0.0 r1:0.6 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:10\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:20\n_p2:20\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:2\n_p11:1\n_p12:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:32\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.3\nr0:0.0 r1:0.3 r2:0.1 r3:0.1 V:1\nX:\n_p0:2\n_p1:4\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:4\n_p11:1\n_p12:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:32\n_p6:o\n_p7:f\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:1\n_p4:1\n_p5:100\n_p6:f\n_p7:f\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:5\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:2\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:16\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.5\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:8\n_p1:4\n_p2:1\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:80\nY:4.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:5\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.2\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.6\nr0:0.0 r1:0.5 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:2.3\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:80\n_p5:1\n_p6:f\n_p7:c\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\nY:7.8\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.3\nr0:0.0 r1:0.3 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:80\n_p11:8\n_p12:1\nY:3.6\nr0:0.0 r1:0.4 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:1\n_p5:10\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:4\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:4\n_p11:1\n_p12:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:2\n_p12:1\nY:3.5\nr0:0.1 r1:0.3 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:32\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:8\n_p12:1\nY:3.3\nr0:0.0 r1:0.3 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.6\nr0:0.0 r1:0.5 r2:0.2 r3:0.2 V:1\nX:\n_p0:2\n_p1:4\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:80\nY:4.4\nr0:0.0 r1:0.3 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.4\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:8\n_p1:2\n_p2:20\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:4\nY:4.3\nr0:0.0 r1:0.4 r2:0.2 r3:0.1 V:1\nX:\n_p0:8\n_p1:2\n_p2:20\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:c\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:2\n_p12:1\nY:1.4\nr0:0.0 r1:0.2 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:32\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:1.5\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:8\n_p1:10\n_p2:32\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:c\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:10\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.7\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\nY:7.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:1\n_p5:32\n_p6:o\n_p7:f\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:3.3\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:25\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:4\n_p12:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_covariance(int m,int n,double float_n,double data[100][80],double cov[80][80],double mean[80])\n{\n  int i;\n  int j;\n  int k;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p6}\n  \n#pragma ACCEL TILE FACTOR=auto{_p10}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (j = 0; j < 80; j++) {\n    mean[j] = 0.0;\n    \n#pragma ACCEL PARALLEL reduction=mean FACTOR=auto{_p3}\n    for (i = 0; i < 100; i++) {\n      mean[j] += data[i][j];\n    }\n    mean[j] /= float_n;\n  }\n  \n#pragma ACCEL PIPELINE auto{_p7}\n  \n#pragma ACCEL TILE FACTOR=auto{_p11}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 100; i++) {\n    \n#pragma ACCEL PARALLEL reduction=data FACTOR=auto{_p4}\n    for (j = 0; j < 80; j++) {\n      data[i][j] -= mean[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    for (j = i; j < 80; j++) {\n      cov[i][j] = 0.0;\n      \n#pragma ACCEL PARALLEL reduction=cov FACTOR=auto{_p5}\n      for (k = 0; k < 100; k++) {\n        cov[i][j] += data[k][i] * data[k][j];\n      }\n      cov[i][j] /= float_n - 1.0;\n      cov[j][i] = cov[i][j];\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:4\n_p1:4\n_p2:32\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:4\n_p2:20\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:4\nY:4.3\nr0:0.0 r1:0.5 r2:0.2 r3:0.2 V:1\nX:\n_p0:4\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:100\n_p12:80\nY:4.4\nr0:0.0 r1:0.4 r2:0.2 r3:0.3 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:5\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.2\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.2\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:32\n_p4:1\n_p5:16\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.6\nr0:0.0 r1:0.4 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:100\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:7.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:8\n_p1:5\n_p2:20\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:4\nY:4.3\nr0:0.0 r1:0.4 r2:0.2 r3:0.1 V:1\nX:\n_p0:8\n_p1:4\n_p2:1\n_p3:32\n_p4:1\n_p5:16\n_p6:c\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:80\nY:3.8\nr0:0.0 r1:0.5 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:10\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:8\n_p1:1\n_p2:1\n_p3:32\n_p4:1\n_p5:16\n_p6:c\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.8\nr0:0.0 r1:0.4 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:10\n_p6:o\n_p7:f\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:2\n_p12:1\nY:1.5\nr0:0.0 r1:0.3 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:16\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.5\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:c\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:1.5\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:32\n_p6:f\n_p7:o\n_p8:c\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:4\n_p2:10\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:4\n_p11:1\n_p12:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:o\n_p7:o\n_p8:c\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:10\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.6\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:20\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.0\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:100\n_p6:f\n_p7:o\n_p8:c\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:1\n_p3:32\n_p4:1\n_p5:1\n_p6:c\n_p7:f\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:5\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.2\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:2\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:2.3\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:8\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:25\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.0\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:5\n_p6:o\n_p7:o\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:1\n_p3:32\n_p4:1\n_p5:16\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.8\nr0:0.0 r1:0.4 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:4\n_p12:1\nY:3.3\nr0:0.1 r1:0.3 r2:0.3 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:10\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:8\n_p12:1\nY:3.6\nr0:0.0 r1:0.5 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:8\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.3\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:8\n_p6:f\n_p7:o\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:10\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:1\n_p5:5\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:1\n_p5:2\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:2.4\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 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V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:16\n_p6:f\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:1\n_p2:32\n_p3:32\n_p4:8\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:8\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:1\n_p4:32\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.2\nr0:0.0 r1:0.3 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:25\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.0\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:8\n_p6:f\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:16\n_p2:1\n_p3:32\n_p4:1\n_p5:16\n_p6:c\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.8\nr0:0.0 r1:1.2 r2:0.5 r3:0.6 V:0\nX:\n_p0:4\n_p1:4\n_p2:10\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:8\n_p12:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:20\n_p2:10\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:8\nY:4.3\nr0:0.0 r1:0.4 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:1\n_p4:16\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:5\n_p6:f\n_p7:o\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:80\n_p11:100\n_p12:80\nY:4.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:8\n_p1:4\n_p2:10\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:8\n_p12:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:25\n_p6:o\n_p7:o\n_p8:c\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:4\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.0\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:25\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:2\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:2.4\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:10\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.6\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:4\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.0\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nTY:3.3\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:25\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:2\n_p12:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_covariance(int m,int n,double float_n,double data[100][80],double cov[80][80],double mean[80])\n{\n  int i;\n  int j;\n  int k;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p6}\n  \n#pragma ACCEL TILE FACTOR=auto{_p10}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (j = 0; j < 80; j++) {\n    mean[j] = 0.0;\n    \n#pragma ACCEL PARALLEL reduction=mean FACTOR=auto{_p3}\n    for (i = 0; i < 100; i++) {\n      mean[j] += data[i][j];\n    }\n    mean[j] /= float_n;\n  }\n  \n#pragma ACCEL PIPELINE auto{_p7}\n  \n#pragma ACCEL TILE FACTOR=auto{_p11}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 100; i++) {\n    \n#pragma ACCEL PARALLEL reduction=data FACTOR=auto{_p4}\n    for (j = 0; j < 80; j++) {\n      data[i][j] -= mean[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    for (j = i; j < 80; j++) {\n      cov[i][j] = 0.0;\n      \n#pragma ACCEL PARALLEL reduction=cov FACTOR=auto{_p5}\n      for (k = 0; k < 100; k++) {\n        cov[i][j] += data[k][i] * data[k][j];\n      }\n      cov[i][j] /= float_n - 1.0;\n      cov[j][i] = cov[i][j];\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:2\n_p2:80\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:8\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:20\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:16\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:32\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.5\nr0:0.0 r1:0.4 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:2\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:2.3\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:8\n_p1:2\n_p2:32\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.6\nr0:0.0 r1:0.5 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:32\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.7\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\nY:7.1\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:5\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.2\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:1\n_p5:2\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:100\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:7.2\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:4\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:32\n_p4:1\n_p5:16\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:32\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:2.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:2\n_p2:10\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:8\nY:4.3\nr0:0.0 r1:0.3 r2:0.2 r3:0.1 V:1\nX:\n_p0:8\n_p1:4\n_p2:1\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:80\nY:4.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:8\n_p1:1\n_p2:8\n_p3:32\n_p4:1\n_p5:16\n_p6:c\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:2.4\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:2\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_2mm(int ni,int nj,int nk,int nl,double alpha,double beta,double tmp[40][50],double A[40][70],double B[70][50],double C[50][80],double D[40][80])\n{\n  int i;\n  int j;\n  int k;\n  \n#pragma ACCEL PIPELINE auto{_p6}\n  \n#pragma ACCEL TILE FACTOR=auto{_p10}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 40; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p8}\n    \n#pragma ACCEL TILE FACTOR=auto{_p12}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (j = 0; j < 50; j++) {\n      tmp[i][j] = 0.0;\n      \n#pragma ACCEL PARALLEL reduction = tmp FACTOR=auto{_p4}\n      for (k = 0; k < 70; ++k) {\n        tmp[i][j] += alpha * A[i][k] * B[k][j];\n      }\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p7}\n  \n#pragma ACCEL TILE FACTOR=auto{_p11}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 40; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (j = 0; j < 80; j++) {\n      D[i][j] *= beta;\n      \n#pragma ACCEL PARALLEL reduction = D FACTOR=auto{_p5}\n      for (k = 0; k < 50; ++k) {\n        D[i][j] += tmp[i][k] * C[k][j];\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:40\n_p11:1\n_p12:1\n_p13:1\nY:3.7\nr0:0.0 r1:2.9 r2:1.9 r3:6.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:70\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:9.0\nr0:0.0 r1:0.8 r2:0.5 r3:0.5 V:1\nX:\n_p0:32\n_p1:5\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:80\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:2\n_p12:50\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:7\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.2\nr0:0.0 r1:0.0 r2:0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:32\n_p5:25\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.1\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:10\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.2\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:5\n_p6:o\n_p7:o\n_p8:f\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:7\n_p5:5\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.4\nr0:0.0 r1:0.0 r2:0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:70\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:10.6\nr0:0.0 r1:2.5 r2:1.5 r3:5.7 V:0\nX:\n_p0:32\n_p1:1\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:3.1 r2:1.8 r3:6.6 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.9\nr0:0.0 r1:2.9 r2:1.9 r3:6.5 V:0\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:4\n_p12:1\n_p13:1\nY:5.7\nr0:0.0 r1:0.6 r2:0.4 r3:1.3 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:25\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.6\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:8\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:14\n_p5:50\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.5\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:20\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:10.9\nr0:0.0 r1:1.8 r2:0.7 r3:1.6 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:50\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.0\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:70\n_p5:2\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:2\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:1\n_p5:5\n_p6:f\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.9\nr0:0.0 r1:2.4 r2:1.6 r3:5.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:1\n_p5:25\n_p6:f\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.6\nr0:0.0 r1:2.4 r2:1.6 r3:5.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:40\n_p11:2\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:5\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.1\nr0:0.0 r1:2.5 r2:1.6 r3:5.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:6.0\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:32\n_p5:50\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.0\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:70\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:11.5\nr0:0.0 r1:2.6 r2:1.6 r3:5.7 V:0\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:4\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:20\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:8\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:14\n_p5:32\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.4\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:10\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:1\n_p5:5\n_p6:f\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:14\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:6.1\nr0:0.0 r1:0.2 r2:0.1 r3:0.3 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:10.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:20\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:2\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:70\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:11.3\nr0:0.0 r1:2.6 r2:1.6 r3:5.7 V:0\nX:\n_p0:1\n_p1:20\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:c\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:2\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:32\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:25\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:4\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.0\nr0:0.0 r1:0.2 r2:0.1 r3:0.3 V:1\nTY:5.8\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[60][80],double ey[60][80],double hz[60][80],double _fict_[40])\n{\n  int t;\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 40; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 60; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 60; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 1; j < 80; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n    for (i = 0; i < 59; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 79; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:59\n_p3:16\n_p4:6\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:79\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.6\nr0:0.0 r1:1.3 r2:0.7 r3:0.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.6\nr0:0.0 r1:1.3 r2:0.7 r3:0.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.1\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:79\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.6\nr0:0.0 r1:0.6 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:1\n_p8:o\n_p9:f\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:16\n_p4:1\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:8.5\nr0:0.0 r1:0.4 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:60\n_p15:1\nY:3.6\nr0:0.0 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:20\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:59\n_p14:60\n_p15:59\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:30\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:79\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:2.7\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:79\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:2\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[400],double x2[400],double y_1[400],double y_2[400],double A[400][400])\n{\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 400; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 400; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:25\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:1\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:3.5\nr0:0.3 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:8\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:400\nY:6.3\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.2\nr0:0.2 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:4\nY:7.9\nr0:0.2 r1:1.8 r2:1.0 r3:3.2 V:0\nX:\n_p0:4\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:1\nY:5.9\nr0:0.4 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:400\nY:7.1\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:4\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:2\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:4.1\nr0:0.2 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:25\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:2\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.3\nr0:0.3 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:1\nY:7.0\nr0:0.3 r1:0.1 r2:0.1 r3:0.1 V:1\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:8\n_p7:1\nY:5.8\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:8\nY:7.4\nr0:0.2 r1:0.6 r2:0.4 r3:0.7 V:1\nX:\n_p0:16\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:4\n_p7:400\nY:6.3\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:7.9\nr0:0.2 r1:1.6 r2:0.9 r3:2.6 V:0\nX:\n_p0:1\n_p1:1\n_p2:400\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:4\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:7.2\nr0:0.4 r1:0.3 r2:0.2 r3:0.7 V:1\nX:\n_p0:16\n_p1:16\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.1\nr0:0.5 r1:0.1 r2:0.1 r3:0.1 V:1\nX:\n_p0:8\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:2\n_p7:400\nY:5.9\nr0:0.3 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:10\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:32\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:4\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:4.6\nTV:0\n", "outputs":"### outputs: _p0:1\n_p1:5\n_p2:10\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[400],double x2[400],double y_1[400],double y_2[400],double A[400][400])\n{\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 400; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 400; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n}\n ```\nX:\n_p0:16\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:1\n_p7:400\nY:7.1\nr0:0.5 r1:0.2 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:25\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:8.6\nr0:0.2 r1:0.4 r2:0.2 r3:0.7 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:2\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:4.2\nr0:0.2 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:2\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:6.1\nr0:0.3 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:16\n_p1:4\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:2\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:4.5\nr0:0.3 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:10\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:5.7\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:1\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:3.4\nr0:0.2 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:400\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:3.5\nr0:0.1 r1:0.3 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:8\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:6.9\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:25\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:10\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:1\n_p7:1\nY:7.0\nr0:0.4 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:4\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:7.2\nr0:1.0 r1:1.2 r2:0.7 r3:2.6 V:0\nX:\n_p0:1\n_p1:4\n_p2:5\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:4.4\nr0:0.8 r1:1.2 r2:0.7 r3:2.6 V:0\nX:\n_p0:4\n_p1:1\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:400\nY:7.2\nr0:1.0 r1:1.2 r2:0.7 r3:2.6 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:7.9\nr0:0.2 r1:0.9 r2:0.5 r3:1.3 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:2\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:5.6\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:3.5\nr0:0.3 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:10\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.8\nr0:0.2 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:2\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:8\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:16\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:32\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:25\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:1\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:3.4\nr0:0.2 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:400\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:2\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:3.9\nr0:0.1 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:6.6\nr0:0.5 r1:0.3 r2:0.2 r3:0.6 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V:0\nX:\n_p0:2\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:4\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:2\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:3.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:25\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:400\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:6.6\nr0:0.2 r1:0.9 r2:0.5 r3:1.3 V:0\nX:\n_p0:32\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:25\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.0\nr0:0.2 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:7.8\nr0:0.4 r1:0.5 r2:0.3 r3:0.8 V:1\nX:\n_p0:8\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:8\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:32\n_p1:16\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:400\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:400\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:32\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:8\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:400\n_p7:1\nY:7.9\nr0:0.2 r1:0.6 r2:0.3 r3:0.6 V:1\nX:\n_p0:25\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:1\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:16\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:20\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:7.8\nr0:0.4 r1:0.5 r2:0.4 r3:0.8 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:20\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:7.9\nr0:0.4 r1:0.4 r2:0.2 r3:0.6 V:1\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:2\n_p7:1\nY:5.9\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:6.5\nr0:0.2 r1:0.6 r2:0.3 r3:0.6 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:10\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.8\nr0:0.2 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:4.9\nTV:0\n", "outputs":"### outputs: _p0:1\n_p1:2\n_p2:4\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_covariance(int m,int n,double float_n,double data[100][80],double cov[80][80],double mean[80])\n{\n  int i;\n  int j;\n  int k;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p6}\n  \n#pragma ACCEL TILE FACTOR=auto{_p10}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (j = 0; j < 80; j++) {\n    mean[j] = 0.0;\n    \n#pragma ACCEL PARALLEL reduction=mean FACTOR=auto{_p3}\n    for (i = 0; i < 100; i++) {\n      mean[j] += data[i][j];\n    }\n    mean[j] /= float_n;\n  }\n  \n#pragma ACCEL PIPELINE auto{_p7}\n  \n#pragma ACCEL TILE FACTOR=auto{_p11}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 100; i++) {\n    \n#pragma ACCEL PARALLEL reduction=data FACTOR=auto{_p4}\n    for (j = 0; j < 80; j++) {\n      data[i][j] -= mean[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    for (j = i; j < 80; j++) {\n      cov[i][j] = 0.0;\n      \n#pragma ACCEL PARALLEL reduction=cov FACTOR=auto{_p5}\n      for (k = 0; k < 100; k++) {\n        cov[i][j] += data[k][i] * data[k][j];\n      }\n      cov[i][j] /= float_n - 1.0;\n      cov[j][i] = cov[i][j];\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:8\n_p1:1\n_p2:20\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:100\n_p12:4\nY:4.3\nr0:0.0 r1:0.4 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:4\n_p2:20\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:80\n_p11:1\n_p12:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:2\n_p12:1\nY:3.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:1\n_p5:4\n_p6:f\n_p7:f\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:4\n_p2:32\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:80\n_p11:8\n_p12:80\nY:3.6\nr0:0.0 r1:0.4 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:100\n_p6:f\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:5.2\nr0:0.1 r1:0.3 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:o\n_p7:o\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:f\n_p7:f\n_p8:o\n_p9:c\n_p10:1\n_p11:2\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:20\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:20\n_p6:o\n_p7:o\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:1\n_p5:20\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.9\nr0:0.0 r1:0.4 r2:0.2 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:1.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:4\n_p1:1\n_p2:32\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:8\n_p11:100\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:25\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:1\n_p5:25\n_p6:f\n_p7:f\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:32\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:4\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:2.9\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:20\n_p2:10\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:8\nY:4.3\nr0:0.0 r1:0.4 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:25\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:32\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.6\nr0:0.0 r1:0.2 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:2\n_p5:1\n_p6:f\n_p7:c\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:32\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:4\n_p12:1\nY:3.3\nr0:0.0 r1:0.3 r2:0.3 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:2\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:2.4\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:100\n_p6:o\n_p7:o\n_p8:c\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.2\nr0:0.0 r1:0.3 r2:0.2 r3:0.1 V:1\nX:\n_p0:2\n_p1:4\n_p2:32\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.6\nr0:0.0 r1:0.6 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:20\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.0\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:10\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:80\n_p11:1\n_p12:8\nY:4.3\nr0:0.0 r1:0.4 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:100\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:20\n_p2:32\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:4\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.0\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:32\n_p4:1\n_p5:16\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:2\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:2\n_p11:8\n_p12:80\nY:3.6\nr0:0.0 r1:0.5 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\nY:8.8\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nTY:4.3\nTV:1\n", "outputs":"### outputs: _p0:2\n_p1:4\n_p2:10\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:8\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[120], double x2[120], double y_1[120], double y_2[120], double A[120][120])\n{\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 120; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 120; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:10\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:10.3\nr0:0.2 r1:0.2 r2:0.2 r3:0.3 V:1\nX:\n_p0:2\n_p1:5\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:4\nY:8.4\nr0:0.0 r1:0.7 r2:0.4 r3:1.4 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:20\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:9.2\nr0:0.2 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.7\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:10\n_p2:24\n_p3:1\n_p4:c\n_p5:f\n_p6:120\n_p7:1\nY:8.9\nr0:0.0 r1:1.0 r2:0.6 r3:1.9 V:0\nX:\n_p0:1\n_p1:3\n_p2:1\n_p3:4\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:8.1\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:4\n_p1:1\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:8\n_p7:120\nY:9.6\nr0:0.0 r1:0.5 r2:0.3 r3:1.0 V:0\nX:\n_p0:1\n_p1:15\n_p2:1\n_p3:5\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:8.3\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:8\n_p1:12\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:120\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:8\n_p7:1\nY:9.1\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:8\n_p1:5\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:10\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:30\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:15\n_p2:1\n_p3:2\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:8.3\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:20\n_p1:1\n_p2:24\n_p3:1\n_p4:c\n_p5:f\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:120\n_p7:1\nY:9.1\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:24\n_p3:1\n_p4:c\n_p5:f\n_p6:120\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:30\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:10.1\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.3\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:20\n_p1:5\n_p2:24\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:8\nY:8.4\nr0:0.0 r1:0.8 r2:0.6 r3:1.2 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V:0\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:1\n_p4:c\n_p5:f\n_p6:120\n_p7:120\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:6\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:4\n_p7:8\nY:8.6\nr0:0.0 r1:0.7 r2:0.4 r3:1.4 V:0\nX:\n_p0:8\n_p1:2\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:2\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.3\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:15\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:120\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:1\n_p2:8\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:9.0\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:20\n_p1:4\n_p2:24\n_p3:1\n_p4:o\n_p5:f\n_p6:2\n_p7:4\nY:10.0\nr0:0.0 r1:0.9 r2:0.5 r3:1.5 V:0\nX:\n_p0:8\n_p1:6\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:1\n_p7:4\nY:8.3\nr0:0.1 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:24\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:120\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:12\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:8.4\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:8\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:2\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:10.0\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:10\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.0\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:8\n_p1:1\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:24\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:32\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:8\nY:9.0\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:8\n_p1:24\n_p2:1\n_p3:20\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:11.2\nr0:0.0 r1:1.1 r2:0.7 r3:1.8 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:15\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:2\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:2\n_p7:1\nY:10.8\nr0:0.0 r1:0.3 r2:0.2 r3:0.4 V:1\nX:\n_p0:8\n_p1:8\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:10.8\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:15\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:24\n_p3:1\n_p4:c\n_p5:f\n_p6:120\n_p7:8\nY:8.2\nr0:0.0 r1:0.5 r2:0.3 r3:1.0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:24\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:6.9\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.7\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:1\n_p2:32\n_p3:1\n_p4:c\n_p5:f\n_p6:8\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:3\n_p4:c\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:120\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:5\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:4\n_p7:1\nY:8.3\nr0:0.0 r1:0.5 r2:0.3 r3:1.0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:4\nY:10.6\nr0:0.1 r1:0.9 r2:0.6 r3:1.7 V:0\nX:\n_p0:1\n_p1:30\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:3\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:120\n_p7:1\nY:8.4\nr0:0.1 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:4\n_p1:32\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:8\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:9.6\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:3\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:120\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:24\n_p3:1\n_p4:o\n_p5:f\n_p6:120\n_p7:8\nY:9.5\nr0:0.0 r1:0.6 r2:0.3 r3:1.0 V:0\nX:\n_p0:2\n_p1:1\n_p2:12\n_p3:15\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.7\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:120\n_p3:4\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:8.5\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:120\n_p7:1\nY:9.1\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:16\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:7.0\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:30\n_p2:1\n_p3:4\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:9.2\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nTY:9.3\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:10\n_p2:1\n_p3:30\n_p4:f\n_p5:c\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_syr2k(double alpha,double beta,double C[80][80],double A[80][60],double B[80][60])\n{\n  int i;\n  int j;\n  int k;\n//BLAS PARAMS\n//UPLO  = 'L'\n//TRANS = 'N'\n//A is NxM\n//B is NxM\n//C is NxN\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      if (j <= i) {\n        C[i][j] *= beta;\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p5}\n    \n#pragma ACCEL TILE FACTOR=auto{_p7}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (k = 0; k < 60; k++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        if (j <= i) {\n          C[i][j] += A[j][k] * alpha * B[i][k] + B[j][k] * alpha * A[i][k];\n        }\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.1 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:5\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:3.7\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:2\n_p2:8\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.1 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:4\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:10\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:4\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.4\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:4.3\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.2\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:5\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.5\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:6\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:3\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:7.6\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:2\n_p2:6\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_syr2k(double alpha,double beta,double C[80][80],double A[80][60],double B[80][60])\n{\n  int i;\n  int j;\n  int k;\n//BLAS PARAMS\n//UPLO  = 'L'\n//TRANS = 'N'\n//A is NxM\n//B is NxM\n//C is NxN\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      if (j <= i) {\n        C[i][j] *= beta;\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p5}\n    \n#pragma ACCEL TILE FACTOR=auto{_p7}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (k = 0; k < 60; k++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        if (j <= i) {\n          C[i][j] += A[j][k] * alpha * B[i][k] + B[j][k] * alpha * A[i][k];\n        }\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:5.1\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:6\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:1\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:5\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:5\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:4\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:4\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.8\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:6\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:6\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:5\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.5\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.9\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:6.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nTY:5.9\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:4\n_p2:1\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_trmm(double alpha,double A[60][60],double B[60][80])\n{\n//BLAS parameters\n//SIDE   = 'L'\n//UPLO   = 'L'\n//TRANSA = 'T'\n//DIAG   = 'U'\n// => Form  B := alpha*A**T*B.\n// A is MxM\n// B is MxN\n  \n#pragma ACCEL PIPELINE auto{_p3}\n  \n#pragma ACCEL TILE FACTOR=auto{_p5}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (int i = 0; i < 60; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p4}\n    \n#pragma ACCEL TILE FACTOR=auto{_p6}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (int j = 0; j < 80; j++) {\n      \n#pragma ACCEL PARALLEL reduction=B FACTOR=auto{_p2}\n      for (int k = 0; k < 60; k++) {\n        if (k > i) {\n          B[i][j] += A[k][i] * B[k][j];\n        }\n      }\n      B[i][j] = alpha * B[i][j];\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:20\n_p2:4\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:6\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:8\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:3\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:30\n_p1:1\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:32\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:4\n_p1:1\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 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V:0\nX:\n_p0:1\n_p1:20\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:80\n_p2:6\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:60\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:o\n_p4:o\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:20\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:32\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:30\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:2\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:6\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:80\n_p2:3\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:3\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:4\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:3\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:1.3\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:o\n_p5:1\n_p6:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[200][240],double ey[200][240],double hz[200][240],double _fict_[100])\n{\n  int t;\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 100; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 240; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 0; j < 240; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (i = 0; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n      for (j = 1; j < 240; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 200 - 1; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 240 - 1; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.2 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:32\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:2.0\nr0:0.6 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:199\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:5\n_p6:1\n_p7:8\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-0.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:32\n_p2:4\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:239\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:100\n_p1:16\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:16\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.5 r1:0.9 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:32\n_p8:o\n_p9:f\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-0.2\nr0:0.2 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:199\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:f\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.3\nr0:0.8 r1:1.8 r2:1.4 r3:1.4 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:8\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:199\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:2\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:1\n_p6:1\n_p7:239\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.3\nr0:0.8 r1:1.8 r2:1.4 r3:1.4 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.5 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.9\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:1\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.0\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.5 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:8\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.3\nr0:0.5 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.3\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:10\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:32\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.6 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.3\nr0:0.1 r1:0.1 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:239\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.2\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:25\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:199\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:2.0\nr0:0.6 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:1\n_p8:o\n_p9:f\n_p10:c\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:32\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:2\n_p8:o\n_p9:f\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:25\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:f\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:16\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:f\n_p9:o\n_p10:o\n_p11:o\n_p12:8\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:239\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.5 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:20\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-0.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:20\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:199\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:16\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:10\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-3.3\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:8\n_p3:1\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-0.3\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:239\n_p7:2\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:2\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:32\n_p8:o\n_p9:f\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.3 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:16\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:4\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.5 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:4\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:0.6\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:16\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[400],double x2[400],double y_1[400],double y_2[400],double A[400][400])\n{\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 400; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 400; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:4\n_p2:25\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:4.8\nr0:1.0 r1:1.2 r2:0.7 r3:2.6 V:0\nX:\n_p0:1\n_p1:5\n_p2:5\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:4.3\nr0:1.0 r1:1.5 r2:0.9 r3:3.2 V:0\nX:\n_p0:20\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:1\n_p7:400\nY:7.2\nr0:0.4 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:400\n_p7:1\nY:6.0\nr0:0.2 r1:3.2 r2:2.0 r3:6.4 V:0\nX:\n_p0:1\n_p1:2\n_p2:400\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:4.8\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:4\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:4\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:4.8\nr0:0.3 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:8\n_p7:1\nY:5.8\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:25\n_p3:4\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:4.1\nr0:0.2 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:2\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:6.1\nr0:0.3 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:4\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:4.4\nr0:0.3 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:2\nY:7.7\nr0:0.2 r1:0.7 r2:0.5 r3:0.7 V:1\nX:\n_p0:1\n_p1:2\n_p2:10\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:5.3\nr0:0.5 r1:0.6 r2:0.4 r3:1.3 V:0\nX:\n_p0:16\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:400\nY:7.2\nr0:0.5 r1:0.1 r2:0.1 r3:0.1 V:1\nX:\n_p0:16\n_p1:20\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:5\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:2\n_p7:1\nY:5.1\nr0:0.2 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:4\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.4\nr0:0.3 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:5.9\nr0:0.2 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:6.3\nr0:0.9 r1:0.4 r2:0.2 r3:0.6 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:25\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:8.6\nr0:0.2 r1:0.5 r2:0.3 r3:0.8 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:5\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:6.3\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:10\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:5.0\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:1\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:400\n_p7:1\nY:5.8\nr0:0.4 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:2\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:400\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:400\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:1\nY:5.9\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:4\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:10\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.1\nr0:0.4 r1:0.1 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:8\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:7.2\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:32\n_p1:16\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:1\nY:1.1\nr0:0.4 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:25\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:10\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:400\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:8\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:16\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:7.0\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:20\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:8\n_p7:1\nY:5.8\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:16\n_p1:16\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.1\nr0:0.5 r1:0.1 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:6.0\nr0:0.2 r1:3.2 r2:2.0 r3:6.4 V:0\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:1\nY:5.9\nr0:0.4 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:4\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:4.9\nr0:0.1 r1:0.9 r2:0.5 r3:1.3 V:0\nX:\n_p0:400\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:4\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:4.8\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:20\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:2\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:4.2\nr0:0.1 r1:1.5 r2:0.8 r3:2.6 V:0\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:4\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:25\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:8\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:5\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:10\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:2\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:3.8\nr0:1.0 r1:1.5 r2:0.9 r3:3.2 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:5.7\nr0:0.2 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:25\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:6.1\nr0:0.3 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:4\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:5.8\nr0:0.2 r1:0.3 r2:0.2 r3:0.7 V:1\nX:\n_p0:8\n_p1:16\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:1\nY:5.6\nr0:0.3 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:10\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:4.9\nr0:0.2 r1:0.3 r2:0.2 r3:0.7 V:1\nX:\n_p0:2\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:1\nY:7.1\nr0:0.5 r1:0.2 r2:0.2 r3:0.2 V:1\nX:\n_p0:4\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:7.2\nr0:1.0 r1:1.2 r2:0.7 r3:2.6 V:0\nX:\n_p0:5\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:4\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:4.4\nr0:0.2 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.6\nr0:0.2 r1:0.0 r2:0.0 r3:0 V:1\nTY:6.3\nTV:1\n", "outputs":"### outputs: _p0:16\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:4\n_p7:400\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[200][240],double ey[200][240],double hz[200][240],double _fict_[100])\n{\n  int t;\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 100; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 240; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 0; j < 240; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (i = 0; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n      for (j = 1; j < 240; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 200 - 1; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 240 - 1; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:8\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:25\n_p1:32\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:16\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.5 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:1\n_p4:199\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-3.2\nr0:0.9 r1:0.6 r2:0.4 r3:0.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-0.1\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.6 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:4\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.1\nr0:0.6 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:239\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.6\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:c\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:1\n_p7:16\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.7\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:8\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.5 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:239\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.9\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:200\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:199\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:3\n_p6:1\n_p7:16\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-0.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:32\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:199\n_p3:10\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:16\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:8\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:32\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:32\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.1\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:239\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.2\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:8\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.5 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:20\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:10\n_p6:1\n_p7:4\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:c\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:200\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:2\n_p8:o\n_p9:f\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.5 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:10\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:199\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:239\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:2.2\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 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V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:4\n_p8:o\n_p9:f\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-3.2\nr0:0.5 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:1\n_p8:o\n_p9:f\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:10\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:16\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:f\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.6 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:16\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:f\n_p9:o\n_p10:o\n_p11:o\n_p12:2\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:239\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.5 r1:0.9 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:8\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:16\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.6 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:1.5\nr0:0.6 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:16\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:f\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:1\n_p6:1\n_p7:239\n_p8:o\n_p9:f\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:16\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.6 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:2\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.2\nr0:0.5 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.5 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:2\n_p1:16\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:0.8\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:2\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_syr2k(double alpha,double beta,double C[80][80],double A[80][60],double B[80][60])\n{\n  int i;\n  int j;\n  int k;\n//BLAS PARAMS\n//UPLO  = 'L'\n//TRANS = 'N'\n//A is NxM\n//B is NxM\n//C is NxN\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      if (j <= i) {\n        C[i][j] *= beta;\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p5}\n    \n#pragma ACCEL TILE FACTOR=auto{_p7}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (k = 0; k < 60; k++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        if (j <= i) {\n          C[i][j] += A[j][k] * alpha * B[i][k] + B[j][k] * alpha * A[i][k];\n        }\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:4\n_p2:2\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.2\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:6\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:20\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:5.4\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.1 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.4\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:6\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:2\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:5\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:3.7\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:16\n_p2:3\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.4\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:5\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:5.7\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.4\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.2\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:80\n_p1:1\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:10\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:8\nY:6.2\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:2.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 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V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.3\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:80\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:60\nY:7.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.2\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:5\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.5\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:6.5\nr0:0.0 r1:0.3 r2:0.5 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nTY:7.8\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:8\n_p2:4\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_covariance(int m,int n,double float_n,double data[100][80],double cov[80][80],double mean[80])\n{\n  int i;\n  int j;\n  int k;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p6}\n  \n#pragma ACCEL TILE FACTOR=auto{_p10}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (j = 0; j < 80; j++) {\n    mean[j] = 0.0;\n    \n#pragma ACCEL PARALLEL reduction=mean FACTOR=auto{_p3}\n    for (i = 0; i < 100; i++) {\n      mean[j] += data[i][j];\n    }\n    mean[j] /= float_n;\n  }\n  \n#pragma ACCEL PIPELINE auto{_p7}\n  \n#pragma ACCEL TILE FACTOR=auto{_p11}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 100; i++) {\n    \n#pragma ACCEL PARALLEL reduction=data FACTOR=auto{_p4}\n    for (j = 0; j < 80; j++) {\n      data[i][j] -= mean[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    for (j = i; j < 80; j++) {\n      cov[i][j] = 0.0;\n      \n#pragma ACCEL PARALLEL reduction=cov FACTOR=auto{_p5}\n      for (k = 0; k < 100; k++) {\n        cov[i][j] += data[k][i] * data[k][j];\n      }\n      cov[i][j] /= float_n - 1.0;\n      cov[j][i] = cov[i][j];\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:100\n_p6:f\n_p7:o\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.6\nr0:0.0 r1:0.5 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:4\n_p6:o\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:100\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:7.2\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:2\n_p5:1\n_p6:f\n_p7:c\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:2\n_p6:f\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.2\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:4\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.0\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:5\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.2\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.3\nr0:0.0 r1:0.3 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:4\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.0\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:2\n_p6:o\n_p7:f\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:4\n_p2:1\n_p3:32\n_p4:1\n_p5:1\n_p6:c\n_p7:f\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:3.6\nTV:1\n", "outputs":"### outputs: _p0:8\n_p1:2\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:8\n_p11:8\n_p12:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_2mm(int ni,int nj,int nk,int nl,double alpha,double beta,double tmp[40][50],double A[40][70],double B[70][50],double C[50][80],double D[40][80])\n{\n  int i;\n  int j;\n  int k;\n  \n#pragma ACCEL PIPELINE auto{_p6}\n  \n#pragma ACCEL TILE FACTOR=auto{_p10}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 40; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p8}\n    \n#pragma ACCEL TILE FACTOR=auto{_p12}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (j = 0; j < 50; j++) {\n      tmp[i][j] = 0.0;\n      \n#pragma ACCEL PARALLEL reduction = tmp FACTOR=auto{_p4}\n      for (k = 0; k < 70; ++k) {\n        tmp[i][j] += alpha * A[i][k] * B[k][j];\n      }\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p7}\n  \n#pragma ACCEL TILE FACTOR=auto{_p11}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 40; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (j = 0; j < 80; j++) {\n      D[i][j] *= beta;\n      \n#pragma ACCEL PARALLEL reduction = D FACTOR=auto{_p5}\n      for (k = 0; k < 50; ++k) {\n        D[i][j] += tmp[i][k] * C[k][j];\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:16\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.9\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:8\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.7\nr0:0.0 r1:0.2 r2:0.1 r3:0.3 V:1\nX:\n_p0:1\n_p1:8\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:2\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:32\n_p6:o\n_p7:o\n_p8:f\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:4\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:8\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:14\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:6.1\nr0:0.0 r1:2.9 r2:1.9 r3:6.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:7\n_p5:4\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.2\nr0:0.0 r1:0.0 r2:0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:1\n_p5:32\n_p6:f\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:8.0\nr0:0.0 r1:2.7 r2:1.8 r3:6.3 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:1\n_p5:8\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.2\nr0:0.0 r1:2.4 r2:1.6 r3:5.7 V:0\nX:\n_p0:1\n_p1:4\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:50\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.3\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.3\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:10\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.0\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:14\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:6.1\nr0:0.0 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:5\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.3 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:1\n_p5:4\n_p6:f\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.7\nr0:0.0 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r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:2\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:70\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:11.3\nr0:0.0 r1:2.6 r2:1.6 r3:5.7 V:0\nX:\n_p0:1\n_p1:8\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:14\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:6.1\nr0:0.0 r1:0.2 r2:0.1 r3:0.3 V:1\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:2\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:70\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:10.6\nr0:0.0 r1:2.5 r2:1.5 r3:5.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:20\n_p4:70\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:9.2\nr0:0.0 r1:2.0 r2:0.9 r3:1.6 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:2\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:5\n_p4:1\n_p5:5\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:4\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:5\n_p1:10\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:4\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:80\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:8\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:10\n_p1:8\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:3.5\nr0:0.0 r1:2.5 r2:1.6 r3:5.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:1\n_p5:8\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:32\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.0\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:8\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.3\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:5\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:4\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:10.9\nTV:0\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:70\n_p5:1\n_p6:o\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[60][80],double ey[60][80],double hz[60][80],double _fict_[40])\n{\n  int t;\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 40; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 60; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 60; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 1; j < 80; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n    for (i = 0; i < 59; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 79; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:79\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.5\nr0:0.0 r1:1.3 r2:0.7 r3:0.9 V:0\nX:\n_p0:16\n_p1:1\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:8\nY:3.0\nr0:0.1 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:60\n_p15:1\nY:6.6\nr0:0.0 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:16\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:4\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:c\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.6\nr0:0.0 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:3.8\nr0:0.0 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:7.9\nr0:0.0 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:2\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:59\n_p14:1\n_p15:1\nY:7.9\nr0:0.0 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.1 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.1\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nTY:1.4\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:8\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[60][80],double ey[60][80],double hz[60][80],double _fict_[40])\n{\n  int t;\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 40; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 60; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 60; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 1; j < 80; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n    for (i = 0; i < 59; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 79; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:79\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.7\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:8\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:79\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.6\nr0:0.0 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:8.7\nr0:0.0 r1:0.4 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:79\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nTY:8.1\nTV:0\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:79\n_p8:o\n_p9:f\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_syr2k(double alpha,double beta,double C[80][80],double A[80][60],double B[80][60])\n{\n  int i;\n  int j;\n  int k;\n//BLAS PARAMS\n//UPLO  = 'L'\n//TRANS = 'N'\n//A is NxM\n//B is NxM\n//C is NxN\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      if (j <= i) {\n        C[i][j] *= beta;\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p5}\n    \n#pragma ACCEL TILE FACTOR=auto{_p7}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (k = 0; k < 60; k++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        if (j <= i) {\n          C[i][j] += A[j][k] * alpha * B[i][k] + B[j][k] * alpha * A[i][k];\n        }\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:5\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:5\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.5\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:4\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.2\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:2\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:20\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.9\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:8\nY:6.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:6.2\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:4\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:2\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:3\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:3\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:3\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:30\n_p3:5\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:4\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:6\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:6.3\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:6\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_syr2k(double alpha,double beta,double C[80][80],double A[80][60],double B[80][60])\n{\n  int i;\n  int j;\n  int k;\n//BLAS PARAMS\n//UPLO  = 'L'\n//TRANS = 'N'\n//A is NxM\n//B is NxM\n//C is NxN\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      if (j <= i) {\n        C[i][j] *= beta;\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p5}\n    \n#pragma ACCEL TILE FACTOR=auto{_p7}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (k = 0; k < 60; k++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        if (j <= i) {\n          C[i][j] += A[j][k] * alpha * B[i][k] + B[j][k] * alpha * A[i][k];\n        }\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:8\nY:6.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:3\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:5.7\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:6.5\nr0:0.0 r1:0.3 r2:0.5 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:5\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:6\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:4\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:3\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:16\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:10\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:8\nY:5.7\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:3\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.4\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:5.7\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nTY:5.9\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:2\n_p2:1\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_trmm(double alpha,double A[60][60],double B[60][80])\n{\n//BLAS parameters\n//SIDE   = 'L'\n//UPLO   = 'L'\n//TRANSA = 'T'\n//DIAG   = 'U'\n// => Form  B := alpha*A**T*B.\n// A is MxM\n// B is MxN\n  \n#pragma ACCEL PIPELINE auto{_p3}\n  \n#pragma ACCEL TILE FACTOR=auto{_p5}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (int i = 0; i < 60; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p4}\n    \n#pragma ACCEL TILE FACTOR=auto{_p6}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (int j = 0; j < 80; j++) {\n      double sum = B[i][j];\n#pragma ACCEL PARALLEL reduction=sum FACTOR=auto{_p2}\n      for (int k = 0; k < 60; k++) {\n        if (k > i) {\n          sum += A[k][i] * B[k][j];\n        }\n      }\n      B[i][j] = alpha * sum;\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:32\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:5.0\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:4.9\nr0:0.1 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:2\n_p1:4\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.1\nr0:0.0 r1:0.5 r2:2.6 r3:0.8 V:0\nX:\n_p0:1\n_p1:5\n_p2:5\n_p3:o\n_p4:o\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:2.7\nr0:0.0 r1:0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:o\n_p4:o\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:3.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:10\n_p2:10\n_p3:o\n_p4:c\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:4.4\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:4.0\nr0:0.0 r1:0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:10\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:8\nY:8.5\nr0:0 r1:0.6 r2:0.3 r3:1.0 V:0\nX:\n_p0:2\n_p1:2\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:60\n_p1:1\n_p2:32\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:3\n_p3:o\n_p4:c\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:c\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:15\n_p3:o\n_p4:c\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:12\n_p3:o\n_p4:c\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:5.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:o\n_p4:o\n_p5:4\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:10\n_p3:o\n_p4:o\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.2\nr0:0.0 r1:0.3 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:4.2\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:2.7\nr0:0.0 r1:0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:3.9\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:8.2\nr0:0.0 r1:0.3 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nTY:3.9\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[120], double x2[120], double y_1[120], double y_2[120], double A[120][120])\n{\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 120; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 120; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:c\n_p5:o\n_p6:1\n_p7:1\nY:6.4\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:3\n_p2:1\n_p3:8\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:8.3\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:2\n_p2:32\n_p3:1\n_p4:c\n_p5:f\n_p6:8\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:2\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:32\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:8\nY:10.5\nr0:0.1 r1:0.4 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:12\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:10.3\nr0:0.1 r1:0.3 r2:0.2 r3:0.3 V:1\nX:\n_p0:1\n_p1:5\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:8\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:10\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:12\n_p1:2\n_p2:24\n_p3:1\n_p4:c\n_p5:f\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:120\n_p7:1\nY:7.8\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.2\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:12\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:3\n_p1:12\n_p2:1\n_p3:30\n_p4:f\n_p5:c\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:2\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.0\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:12\n_p2:32\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:30\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:2\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:6\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:6.8\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:2\n_p1:1\n_p2:12\n_p3:24\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.8\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:4\n_p1:1\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:8.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:120\n_p3:2\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.8\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:32\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:120\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:2\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:8\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:30\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:2\nY:8.8\nr0:0.0 r1:0.2 r2:0.1 r3:0.4 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:9.1\nr0:0.0 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:2\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:120\n_p7:1\nY:9.5\nr0:0.1 r1:0.3 r2:0.2 r3:0.4 V:1\nX:\n_p0:1\n_p1:6\n_p2:24\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:8.9\nr0:0.0 r1:0.6 r2:0.4 r3:1.2 V:0\nX:\n_p0:1\n_p1:6\n_p2:1\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:6\n_p2:1\n_p3:8\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:9.2\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:8\n_p1:32\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.3\nr0:0.1 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:8\n_p1:1\n_p2:32\n_p3:1\n_p4:c\n_p5:f\n_p6:4\n_p7:120\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:12\n_p2:1\n_p3:20\n_p4:f\n_p5:c\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:16\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:24\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:24\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:8\n_p7:1\nY:11.0\nr0:0.0 r1:2.5 r2:1.5 r3:5.0 V:0\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:3\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.8\nr0:0.0 r1:0.0 r2:0 r3:0.0 V:1\nX:\n_p0:8\n_p1:8\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:30\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:8\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:24\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:4\n_p2:24\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:11.3\nr0:0.0 r1:0.6 r2:0.3 r3:0.8 V:1\nX:\n_p0:8\n_p1:1\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:4\n_p7:120\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:3\n_p1:24\n_p2:1\n_p3:20\n_p4:f\n_p5:c\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:120\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:2\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:4\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:4\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:24\n_p3:1\n_p4:c\n_p5:f\n_p6:120\n_p7:8\nY:9.7\nr0:0.0 r1:0.4 r2:0.2 r3:0.4 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:12\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:10.9\nr0:0.1 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:2\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:4\n_p7:120\nY:10.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:8\n_p1:1\n_p2:10\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.5\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:6\n_p2:1\n_p3:30\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:9.3\nr0:0.2 r1:0.2 r2:0.2 r3:0.3 V:1\nX:\n_p0:8\n_p1:3\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:1\n_p7:4\nY:7.3\nr0:0.1 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:8\n_p1:32\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:12\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:4\nY:9.7\nr0:0.0 r1:1.4 r2:0.8 r3:2.7 V:0\nX:\n_p0:4\n_p1:8\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:11.3\nr0:0.0 r1:0.8 r2:0.5 r3:1.5 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:12\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:9.9\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:3\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:120\n_p7:2\nY:6.6\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:32\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:1\n_p7:1\nY:8.5\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:8\n_p1:3\n_p2:32\n_p3:1\n_p4:c\n_p5:f\n_p6:8\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:2\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:2\n_p7:4\nY:10.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:6\n_p2:8\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:8.6\nr0:0.0 r1:0.6 r2:0.3 r3:1.2 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:3\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.8\nr0:0.0 r1:0.0 r2:0 r3:0.0 V:1\nX:\n_p0:1\n_p1:12\n_p2:1\n_p3:3\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:9.9\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:8\n_p1:15\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:8\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:24\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:1\n_p7:1\nY:10.4\nr0:0.1 r1:0.1 r2:0.1 r3:0.1 V:1\nX:\n_p0:2\n_p1:1\n_p2:10\n_p3:12\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.3\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:4\n_p1:32\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:3\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:7.5\nr0:0.0 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:2\n_p2:15\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:8.0\nr0:0.0 r1:0.2 r2:0.1 r3:0.4 V:1\nX:\n_p0:8\n_p1:12\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:2\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:5\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:8.3\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:8\n_p1:2\n_p2:32\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:8\nY:9.1\nr0:0.1 r1:0.4 r2:0.2 r3:0.4 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:5\n_p4:c\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:6\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:30\n_p4:c\n_p5:o\n_p6:1\n_p7:1\nY:7.3\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:16\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:24\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:10.3\nr0:0.1 r1:0.2 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:16\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:4\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:1\n_p7:1\nY:9.7\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:30\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:9.3\nr0:0.1 r1:0.3 r2:0.2 r3:0.4 V:1\nX:\n_p0:4\n_p1:4\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:1\n_p4:c\n_p5:f\n_p6:120\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:10\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.4\nr0:0.1 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:4\n_p1:16\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:15\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:10.0\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:3\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.9\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:20\n_p1:2\n_p2:24\n_p3:1\n_p4:c\n_p5:f\n_p6:2\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:10\n_p4:c\n_p5:o\n_p6:1\n_p7:1\nY:7.2\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:5\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:9.5\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:4\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:10\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:8.6\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:2\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:6\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:1\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:24\n_p3:12\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.8\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:4\n_p1:1\n_p2:12\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:8.7\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:3\n_p2:1\n_p3:12\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:8.3\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:3\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:1\n_p7:8\nY:7.7\nr0:0.1 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:2\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:32\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:24\n_p2:1\n_p3:20\n_p4:f\n_p5:c\n_p6:4\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:3\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:120\n_p7:1\nY:7.7\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:3\n_p1:12\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:2\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:15\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:4\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:30\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:8.8\nr0:0.0 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:20\n_p1:8\n_p2:24\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:11.3\nr0:0.0 r1:0.9 r2:0.5 r3:1.5 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:2\n_p7:120\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:2\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:4\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:4\n_p7:4\nY:10.0\nr0:0.0 r1:0.6 r2:0.3 r3:0.8 V:0\nX:\n_p0:2\n_p1:6\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:4\nY:9.3\nr0:0.0 r1:0.8 r2:0.5 r3:1.5 V:0\nTY:8.4\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:12\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[400],double x2[400],double y_1[400],double y_2[400],double A[400][400])\n{\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 400; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 400; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n}\n ```\nX:\n_p0:16\n_p1:32\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:2\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:6.1\nr0:0.3 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:5.1\nr0:0.2 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:8\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:400\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:7.9\nr0:0.2 r1:1.6 r2:0.9 r3:2.6 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:400\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:6.1\nr0:0.9 r1:0.1 r2:0.0 r3:0.0 V:0\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:10\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:6.8\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:16\n_p1:16\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:4\n_p7:1\nY:5.8\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:4\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:4\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:7.2\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:16\n_p1:5\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:4.9\nr0:1.2 r1:1.6 r2:1.0 r3:3.3 V:0\nX:\n_p0:5\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:1\nY:5.6\nr0:0.2 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:1\nY:5.9\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:1\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:3.4\nr0:0.2 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:10\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:16\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:8\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:8\n_p7:1\nY:5.8\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:16\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:6.5\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nTY:4.1\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:2\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[200][240],double ey[200][240],double hz[200][240],double _fict_[100])\n{\n  int t;\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 100; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 240; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 0; j < 240; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (i = 0; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n      for (j = 1; j < 240; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 200 - 1; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 240 - 1; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.9\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:1\n_p6:1\n_p7:16\n_p8:o\n_p9:f\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:239\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.4 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:1\n_p7:32\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:10\n_p1:1\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:5\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:2.2\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:3\n_p6:1\n_p7:16\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:1\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-0.5\nr0:0.2 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:16\n_p8:o\n_p9:f\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:32\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.5 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:4\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.6 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.6 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:1.5\nr0:0.6 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:32\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.6\nr0:0.5 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:199\n_p3:8\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:2\n_p8:o\n_p9:o\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:32\n_p2:2\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.3\nr0:0.7 r1:1.0 r2:0.9 r3:1.0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:2\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.9\nr0:0.5 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.3\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:8\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:1\n_p8:o\n_p9:f\n_p10:c\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:f\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:6.8\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nTY:3.3\nTV:0\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:5\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_syr2k(double alpha,double beta,double C[80][80],double A[80][60],double B[80][60])\n{\n  int i;\n  int j;\n  int k;\n//BLAS PARAMS\n//UPLO  = 'L'\n//TRANS = 'N'\n//A is NxM\n//B is NxM\n//C is NxN\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      if (j <= i) {\n        C[i][j] *= beta;\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p5}\n    \n#pragma ACCEL TILE FACTOR=auto{_p7}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (k = 0; k < 60; k++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        if (j <= i) {\n          C[i][j] += A[j][k] * alpha * B[i][k] + B[j][k] * alpha * A[i][k];\n        }\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:4\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:2\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.2\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:3\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:6.4\nr0:0.0 r1:0.3 r2:0.2 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:4\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:2\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:2\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:8\nY:6.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:10\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.5\nr0:0.0 r1:0.3 r2:0.2 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.2\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:4\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.8\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:5\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:2\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.4\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:4\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.8\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:5.1\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:15\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:6\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:10\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.4\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:5.4\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:5\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.5\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nTY:7.5\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:2\n_p2:3\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_trmm(double alpha,double A[60][60],double B[60][80])\n{\n//BLAS parameters\n//SIDE   = 'L'\n//UPLO   = 'L'\n//TRANSA = 'T'\n//DIAG   = 'U'\n// => Form  B := alpha*A**T*B.\n// A is MxM\n// B is MxN\n  \n#pragma ACCEL PIPELINE auto{_p3}\n  \n#pragma ACCEL TILE FACTOR=auto{_p5}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (int i = 0; i < 60; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p4}\n    \n#pragma ACCEL TILE FACTOR=auto{_p6}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (int j = 0; j < 80; j++) {\n      \n#pragma ACCEL PARALLEL reduction=B FACTOR=auto{_p2}\n      for (int k = 0; k < 60; k++) {\n        if (k > i) {\n          B[i][j] += A[k][i] * B[k][j];\n        }\n      }\n      B[i][j] = alpha * B[i][j];\n    }\n  }\n}\n ```\nX:\n_p0:3\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:2\n_p1:5\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:1.2\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_covariance(int m,int n,double float_n,double data[100][80],double cov[80][80],double mean[80])\n{\n  int i;\n  int j;\n  int k;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p6}\n  \n#pragma ACCEL TILE FACTOR=auto{_p10}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (j = 0; j < 80; j++) {\n    mean[j] = 0.0;\n    \n#pragma ACCEL PARALLEL reduction=mean FACTOR=auto{_p3}\n    for (i = 0; i < 100; i++) {\n      mean[j] += data[i][j];\n    }\n    mean[j] /= float_n;\n  }\n  \n#pragma ACCEL PIPELINE auto{_p7}\n  \n#pragma ACCEL TILE FACTOR=auto{_p11}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 100; i++) {\n    \n#pragma ACCEL PARALLEL reduction=data FACTOR=auto{_p4}\n    for (j = 0; j < 80; j++) {\n      data[i][j] -= mean[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    for (j = i; j < 80; j++) {\n      cov[i][j] = 0.0;\n      \n#pragma ACCEL PARALLEL reduction=cov FACTOR=auto{_p5}\n      for (k = 0; k < 100; k++) {\n        cov[i][j] += data[k][i] * data[k][j];\n      }\n      cov[i][j] /= float_n - 1.0;\n      cov[j][i] = cov[i][j];\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:100\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:7.3\nr0:0.0 r1:0.4 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:100\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:7.1\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:8\n_p1:4\n_p2:32\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:8\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:o\n_p7:o\n_p8:c\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:5\n_p2:32\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.6\nr0:0.0 r1:0.5 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:2\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:2.3\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:10\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.6\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:10\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:f\n_p7:f\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:20\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:20\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.8\nr0:0.0 r1:0.4 r2:0.2 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:4\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.0\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:100\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:2\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:4\n_p2:32\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.6\nr0:0.0 r1:0.6 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:4\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:8\n_p1:2\n_p2:10\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:8\nY:4.3\nr0:0.0 r1:0.3 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:c\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:4\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.3\nr0:0.0 r1:0.3 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:10\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:1\n_p5:4\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:4\n_p2:10\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:8\nY:4.3\nr0:0.0 r1:0.3 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:16\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:100\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:7.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:5\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.2\nr0:0.0 r1:0.0 r2:0.0 r3:0 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V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:2\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:2.3\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:8\n_p1:2\n_p2:1\n_p3:32\n_p4:1\n_p5:16\n_p6:c\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.8\nr0:0.0 r1:0.4 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:1\n_p5:20\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.9\nr0:0.0 r1:0.4 r2:0.2 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:20\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:8\n_p2:1\n_p3:32\n_p4:1\n_p5:16\n_p6:c\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.8\nr0:0.0 r1:0.8 r2:0.3 r3:0.3 V:0\nX:\n_p0:1\n_p1:4\n_p2:10\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:80\n_p11:8\n_p12:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:20\n_p6:o\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:1\nX:\n_p0:8\n_p1:25\n_p2:32\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.6\nr0:0.0 r1:0.6 r2:0.3 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:5\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.2\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:8\n_p1:2\n_p2:1\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:80\nY:4.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:80\n_p11:100\n_p12:1\nY:4.6\nr0:0.0 r1:0.5 r2:0.2 r3:0.2 V:1\nX:\n_p0:8\n_p1:1\n_p2:1\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:8\n_p11:100\n_p12:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:16\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:32\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:8\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:4.0\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:25\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[60][80],double ey[60][80],double hz[60][80],double _fict_[40])\n{\n  int t;\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 40; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 60; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 60; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 1; j < 80; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n    for (i = 0; i < 59; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 79; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:4\n_p3:16\n_p4:4\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:8\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:2\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:59\n_p14:1\n_p15:1\nY:7.9\nr0:0.0 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:59\n_p14:60\n_p15:8\nY:3.1\nr0:0.1 r1:0.8 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:6.7\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:59\n_p14:60\n_p15:59\nY:8.7\nr0:0.0 r1:0.4 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.7\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:4\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.0 r1:0.7 r2:0.4 r3:0.6 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:59\n_p14:60\n_p15:1\nY:7.9\nr0:0.0 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:8\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:2\n_p5:1\n_p6:59\n_p7:2\n_p8:c\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:79\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:8.1\nr0:0.0 r1:1.3 r2:0.7 r3:0.9 V:0\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:c\n_p9:o\n_p10:f\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.7\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:2\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.6\nr0:0.0 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:4\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:60\n_p15:59\nY:5.3\nr0:0.0 r1:0.8 r2:0.6 r3:0.6 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:79\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.6\nr0:0.0 r1:1.3 r2:0.7 r3:0.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:79\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.7\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:32\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.0\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:79\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.6\nr0:0.0 r1:1.3 r2:0.7 r3:0.9 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:2\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:59\n_p14:1\n_p15:4\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:16\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:3.6\nr0:0.0 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.5\nr0:0.0 r1:1.3 r2:0.7 r3:0.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:16\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:2\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:59\n_p14:1\n_p15:59\nY:8.9\nr0:0.0 r1:0.4 r2:0.2 r3:0.3 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:2\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:16\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:16\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:4\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:6.7\nr0:0.0 r1:0.7 r2:0.3 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:4\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:8.9\nr0:0.0 r1:0.7 r2:0.3 r3:0.6 V:1\nX:\n_p0:5\n_p1:16\n_p2:4\n_p3:1\n_p4:2\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.6\nr0:0.0 r1:1.3 r2:0.7 r3:0.9 V:0\nX:\n_p0:1\n_p1:16\n_p2:4\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:2\n_p14:60\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:79\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:8\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.5\nr0:0.0 r1:2.4 r2:1.3 r3:1.8 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:4\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.1\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.5\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.5\nr0:0.0 r1:0.6 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:32\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:8\nY:3.0\nr0:0.1 r1:0.8 r2:0.4 r3:0.7 V:1\nX:\n_p0:10\n_p1:1\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:8\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:1.5\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:4\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[120], double x2[120], double y_1[120], double y_2[120], double A[120][120])\n{\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 120; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 120; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:24\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:120\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:3\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:4\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:6\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:2\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:6\n_p2:1\n_p3:10\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:9.3\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:6\n_p2:10\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:8.7\nr0:0.0 r1:0.6 r2:0.3 r3:1.2 V:0\nX:\n_p0:4\n_p1:1\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:8\n_p7:120\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:3\n_p2:6\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:7.8\nr0:0.0 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:8\n_p2:12\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:9.1\nr0:0.0 r1:0.8 r2:0.4 r3:1.5 V:0\nX:\n_p0:4\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:2\n_p7:8\nY:9.9\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:6\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.2\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:30\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:9.3\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:8\n_p1:15\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:1\n_p7:1\nY:8.3\nr0:0.1 r1:0.1 r2:0.1 r3:0.1 V:1\nX:\n_p0:24\n_p1:1\n_p2:1\n_p3:20\n_p4:f\n_p5:c\n_p6:1\n_p7:120\nY:9.9\nr0:0.1 r1:2.3 r2:1.4 r3:4.6 V:0\nX:\n_p0:4\n_p1:1\n_p2:8\n_p3:30\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:9.2\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:2\n_p1:2\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:8\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:1\n_p2:12\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:9.0\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:2\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:16\n_p4:f\n_p5:o\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:32\n_p3:1\n_p4:c\n_p5:f\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.0\nr0:0.0 r1:0.5 r2:0.2 r3:0.8 V:1\nX:\n_p0:8\n_p1:1\n_p2:10\n_p3:12\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.6\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:8\n_p7:120\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:6\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:6.8\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:12\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:6\n_p1:1\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:120\nY:9.7\nr0:0.0 r1:0.6 r2:0.4 r3:1.2 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.4\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:12\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:8.0\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:24\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:2\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:5\n_p1:24\n_p2:1\n_p3:20\n_p4:f\n_p5:c\n_p6:8\n_p7:1\nY:11.0\nr0:0.0 r1:0.8 r2:0.5 r3:1.2 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.9\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:4\n_p1:1\n_p2:12\n_p3:15\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:9.0\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:120\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:8\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:15\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:2\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:120\nY:9.7\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:20\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:120\n_p7:1\nY:9.0\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:1\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:24\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:9.7\nr0:0.0 r1:0.3 r2:0.1 r3:0.4 V:1\nX:\n_p0:12\n_p1:1\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:120\nY:9.7\nr0:0.0 r1:1.2 r2:0.7 r3:2.3 V:0\nX:\n_p0:1\n_p1:8\n_p2:32\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:24\n_p2:1\n_p3:20\n_p4:f\n_p5:c\n_p6:8\n_p7:1\nY:10.1\nr0:0.1 r1:0.4 r2:0.3 r3:0.2 V:1\nX:\n_p0:4\n_p1:2\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:2\n_p7:4\nY:10.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.2\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:120\n_p7:1\nY:9.6\nr0:0.1 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:3\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:24\n_p3:4\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.2\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:30\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:8.4\nr0:0.2 r1:0.2 r2:0.2 r3:0.3 V:1\nX:\n_p0:4\n_p1:4\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:2\nY:8.7\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:32\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:120\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:30\n_p3:5\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.9\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nTY:8.1\nTV:0\n", "outputs":"### outputs: _p0:1\n_p1:6\n_p2:4\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[200][240],double ey[200][240],double hz[200][240],double _fict_[100])\n{\n  int t;\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 100; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 240; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 0; j < 240; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (i = 0; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n      for (j = 1; j < 240; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 200 - 1; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 240 - 1; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:5\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.9\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:5\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.4 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:6\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.5\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.3\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:32\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:5\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:1\n_p7:8\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.2\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:32\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.5 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.5 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:1\n_p7:8\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-0.3\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:8\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:16\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.5 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:239\n_p7:16\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.2\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:32\n_p2:2\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.3\nr0:0.7 r1:1.0 r2:0.9 r3:1.0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:16\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.6 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:8\n_p1:16\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:2\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.2 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:199\n_p3:5\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.9\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-0.3\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:1\n_p7:239\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.0\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:200\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:16\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:8\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.6 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:2.2\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:16\n_p2:4\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.5 r1:0.9 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:2\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.9\nr0:0.5 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:32\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.6\nr0:0.5 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-0.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:239\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.7\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:239\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.5 r1:0.9 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:32\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.8\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:16\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:3\n_p6:1\n_p7:239\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:2.6\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:3\n_p6:1\n_p7:8\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:10\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:2.2\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:8\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:16\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.2 r1:0.5 r2:0.3 r3:0.5 V:1\nTY:0.3\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[200][240],double ey[200][240],double hz[200][240],double _fict_[100])\n{\n  int t;\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 100; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 240; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 0; j < 240; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (i = 0; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n      for (j = 1; j < 240; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 200 - 1; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 240 - 1; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:32\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.4\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:f\n_p9:o\n_p10:o\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.4 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:12\n_p6:1\n_p7:8\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.6\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:199\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:8\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:32\n_p1:16\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:199\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:32\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:16\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:4\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.3\nr0:0.5 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:239\n_p7:16\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.2\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.9\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:16\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.2 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:1\n_p7:16\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.2\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:32\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:2.0\nr0:0.6 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:4\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.3\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:1\n_p4:199\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-3.2\nr0:0.9 r1:0.6 r2:0.4 r3:0.5 V:0\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:1\n_p4:32\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:0.6\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:16\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_trmm(double alpha,double A[60][60],double B[60][80])\n{\n//BLAS parameters\n//SIDE   = 'L'\n//UPLO   = 'L'\n//TRANSA = 'T'\n//DIAG   = 'U'\n// => Form  B := alpha*A**T*B.\n// A is MxM\n// B is MxN\n  \n#pragma ACCEL PIPELINE auto{_p3}\n  \n#pragma ACCEL TILE FACTOR=auto{_p5}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (int i = 0; i < 60; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p4}\n    \n#pragma ACCEL TILE FACTOR=auto{_p6}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (int j = 0; j < 80; j++) {\n      \n#pragma ACCEL PARALLEL reduction=B FACTOR=auto{_p2}\n      for (int k = 0; k < 60; k++) {\n        if (k > i) {\n          B[i][j] += A[k][i] * B[k][j];\n        }\n      }\n      B[i][j] = alpha * B[i][j];\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:16\n_p2:30\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:20\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:12\n_p1:1\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:o\n_p4:c\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:15\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:3\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:4\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:30\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:16\n_p2:15\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.2\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:2\n_p1:5\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:30\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:32\n_p2:10\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.2\nr0:0.0 r1:0.2 r2:0.0 r3:0 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V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:15\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:3\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:5\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:1.3\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:3\n_p3:o\n_p4:o\n_p5:1\n_p6:80\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_covariance(int m,int n,double float_n,double data[100][80],double cov[80][80],double mean[80])\n{\n  int i;\n  int j;\n  int k;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p6}\n  \n#pragma ACCEL TILE FACTOR=auto{_p10}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (j = 0; j < 80; j++) {\n    mean[j] = 0.0;\n    \n#pragma ACCEL PARALLEL reduction=mean FACTOR=auto{_p3}\n    for (i = 0; i < 100; i++) {\n      mean[j] += data[i][j];\n    }\n    mean[j] /= float_n;\n  }\n  \n#pragma ACCEL PIPELINE auto{_p7}\n  \n#pragma ACCEL TILE FACTOR=auto{_p11}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 100; i++) {\n    \n#pragma ACCEL PARALLEL reduction=data FACTOR=auto{_p4}\n    for (j = 0; j < 80; j++) {\n      data[i][j] -= mean[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    for (j = i; j < 80; j++) {\n      cov[i][j] = 0.0;\n      \n#pragma ACCEL PARALLEL reduction=cov FACTOR=auto{_p5}\n      for (k = 0; k < 100; k++) {\n        cov[i][j] += data[k][i] * data[k][j];\n      }\n      cov[i][j] /= float_n - 1.0;\n      cov[j][i] = cov[i][j];\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:8\n_p1:2\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:4\n_p11:8\n_p12:1\nY:3.6\nr0:0.0 r1:0.6 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\nY:7.2\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:32\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:16\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:25\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:2\n_p12:1\nY:3.3\nr0:0.0 r1:0.3 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:1\n_p4:1\n_p5:10\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:8\n_p12:1\nY:3.3\nr0:0.1 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:32\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:25\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\nY:8.7\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\nY:8.8\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 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V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:2\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:2\n_p11:8\n_p12:1\nY:3.6\nr0:0.0 r1:0.5 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:16\n_p6:f\n_p7:o\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:25\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.0\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:8\n_p1:1\n_p2:32\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.6\nr0:0.0 r1:0.5 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:20\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.0\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:4\n_p1:4\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:4\n_p11:1\n_p12:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:5\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.2\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:2\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:2.4\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:100\n_p6:o\n_p7:o\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:f\n_p7:f\n_p8:o\n_p9:c\n_p10:1\n_p11:2\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:32\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.6\nr0:0.0 r1:0.2 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:8\n_p12:1\nY:3.6\nr0:0.0 r1:0.4 r2:0.1 r3:0.1 V:1\nX:\n_p0:2\n_p1:4\n_p2:10\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:8\nY:4.3\nr0:0.0 r1:0.4 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:8\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.3\nr0:0.0 r1:0.3 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:1\n_p5:16\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.6\nr0:0.0 r1:0.3 r2:0.1 r3:0.0 V:1\nX:\n_p0:8\n_p1:20\n_p2:10\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:8\nY:4.3\nr0:0.0 r1:0.4 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:32\n_p4:2\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.5\nr0:0.0 r1:0.4 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:16\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:2\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:2.3\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:8\n_p1:10\n_p2:10\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:2\n_p12:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:4.3\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:16\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[60][80],double ey[60][80],double hz[60][80],double _fict_[40])\n{\n  int t;\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 40; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 60; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 60; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 1; j < 80; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n    for (i = 0; i < 59; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 79; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:8\nY:3.2\nr0:0.0 r1:0.8 r2:0.4 r3:0.7 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V:1\nX:\n_p0:2\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:59\n_p14:60\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.5\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:16\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.6\nr0:0.0 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:60\n_p15:1\nY:3.6\nr0:0.0 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.1\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:79\n_p8:o\n_p9:f\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:8.1\nr0:0.0 r1:1.3 r2:0.7 r3:0.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:79\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.6\nr0:0.0 r1:0.6 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:6.6\nr0:0.0 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:16\n_p2:4\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:60\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:2\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.6\nr0:0.0 r1:0.6 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:59\n_p3:16\n_p4:2\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:79\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:4\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:2\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:4\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.0 r1:0.7 r2:0.3 r3:0.6 V:1\nX:\n_p0:8\n_p1:16\n_p2:4\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:60\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.1 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:32\n_p1:1\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:59\n_p3:16\n_p4:8\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:10\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:8.7\nr0:0.0 r1:0.4 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:79\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:2.7\nr0:0.1 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:59\n_p14:60\n_p15:59\nY:8.7\nr0:0.0 r1:0.4 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:79\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:2.9\nr0:0.0 r1:0.5 r2:0.2 r3:0.4 V:1\nX:\n_p0:1\n_p1:16\n_p2:16\n_p3:16\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:2\n_p14:60\n_p15:59\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:4.5\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:2\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_syr2k(double alpha,double beta,double C[80][80],double A[80][60],double B[80][60])\n{\n  int i;\n  int j;\n  int k;\n//BLAS PARAMS\n//UPLO  = 'L'\n//TRANS = 'N'\n//A is NxM\n//B is NxM\n//C is NxN\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      if (j <= i) {\n        C[i][j] *= beta;\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p5}\n    \n#pragma ACCEL TILE FACTOR=auto{_p7}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (k = 0; k < 60; k++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        if (j <= i) {\n          C[i][j] += A[j][k] * alpha * B[i][k] + B[j][k] * alpha * A[i][k];\n        }\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:4\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.2\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:5\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:3\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:4\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.7\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:3\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.4\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:6\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.2\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:4\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.8\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:6\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:30\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:5\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:3\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nTY:7.5\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:4\n_p2:5\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_2mm(int ni,int nj,int nk,int nl,double alpha,double beta,double tmp[40][50],double A[40][70],double B[70][50],double C[50][80],double D[40][80])\n{\n  int i;\n  int j;\n  int k;\n  \n#pragma ACCEL PIPELINE auto{_p6}\n  \n#pragma ACCEL TILE FACTOR=auto{_p10}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 40; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p8}\n    \n#pragma ACCEL TILE FACTOR=auto{_p12}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (j = 0; j < 50; j++) {\n      tmp[i][j] = 0.0;\n      \n#pragma ACCEL PARALLEL reduction = tmp FACTOR=auto{_p4}\n      for (k = 0; k < 70; ++k) {\n        tmp[i][j] += alpha * A[i][k] * B[k][j];\n      }\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p7}\n  \n#pragma ACCEL TILE FACTOR=auto{_p11}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 40; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (j = 0; j < 80; j++) {\n      D[i][j] *= beta;\n      \n#pragma ACCEL PARALLEL reduction = D FACTOR=auto{_p5}\n      for (k = 0; k < 50; ++k) {\n        D[i][j] += tmp[i][k] * C[k][j];\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.0\nr0:0.0 r1:2.9 r2:1.9 r3:6.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:50\n_p6:f\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:80\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:4\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:0\nX:\n_p0:16\n_p1:8\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:10\n_p6:o\n_p7:o\n_p8:f\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:3.1 r2:1.8 r3:6.6 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:32\n_p5:8\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.3\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:2\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:4\n_p6:f\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.2\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:5\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.1\nr0:0.0 r1:2.5 r2:1.6 r3:5.7 V:0\nX:\n_p0:1\n_p1:20\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:5.9 r2:3.5 r3:13.1 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.9\nr0:0.0 r1:2.9 r2:1.9 r3:6.5 V:0\nX:\n_p0:8\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:40\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:4\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:5\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:5\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.3\nr0:0.0 r1:0.0 r2:0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.1\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:2\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.8\nr0:0.0 r1:0.0 r2:0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:4\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:6.0\nr0:0.0 r1:2.9 r2:1.9 r3:6.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:32\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:70\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:11.3\nr0:0.0 r1:2.6 r2:1.6 r3:5.7 V:0\nX:\n_p0:10\n_p1:20\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:2\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:40\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:5\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:10\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:32\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:14\n_p5:50\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.5\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:4\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.0\nr0:0.0 r1:2.8 r2:1.9 r3:6.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:25\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:1\n_p5:32\n_p6:f\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:8.0\nr0:0.0 r1:2.7 r2:1.8 r3:6.3 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:8\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:5\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:1.5 r2:0.9 r3:3.3 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:5\n_p4:70\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:8.8\nr0:0.0 r1:0.8 r2:0.5 r3:0.7 V:1\nX:\n_p0:4\n_p1:2\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:32\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.2\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.1\nr0:0.0 r1:2.5 r2:1.6 r3:5.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:50\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:7.0\nr0:0.0 r1:2.5 r2:1.6 r3:5.7 V:0\nTY:10.4\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:50\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[60][80],double ey[60][80],double hz[60][80],double _fict_[40])\n{\n  int t;\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 40; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 60; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 60; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 1; j < 80; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n    for (i = 0; i < 59; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 79; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:59\n_p3:16\n_p4:12\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.9\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:7.9\nr0:0.0 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:59\n_p14:60\n_p15:59\nY:8.8\nr0:0.0 r1:0.4 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:32\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.6\nr0:0.0 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.5\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:5.0\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_trmm(double alpha,double A[60][60],double B[60][80])\n{\n//BLAS parameters\n//SIDE   = 'L'\n//UPLO   = 'L'\n//TRANSA = 'T'\n//DIAG   = 'U'\n// => Form  B := alpha*A**T*B.\n// A is MxM\n// B is MxN\n  \n#pragma ACCEL PIPELINE auto{_p3}\n  \n#pragma ACCEL TILE FACTOR=auto{_p5}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (int i = 0; i < 60; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p4}\n    \n#pragma ACCEL TILE FACTOR=auto{_p6}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (int j = 0; j < 80; j++) {\n      double sum = B[i][j];\n#pragma ACCEL PARALLEL reduction=sum FACTOR=auto{_p2}\n      for (int k = 0; k < 60; k++) {\n        if (k > i) {\n          sum += A[k][i] * B[k][j];\n        }\n      }\n      B[i][j] = alpha * sum;\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:8\n_p2:32\n_p3:o\n_p4:c\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:30\n_p3:o\n_p4:o\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:4.2\nr0:0.0 r1:0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:30\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:5.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:8.2\nr0:0.0 r1:0.3 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:5.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:10\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:8\nY:8.5\nr0:0 r1:0.6 r2:0.3 r3:1.0 V:0\nX:\n_p0:1\n_p1:20\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:4.4\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:4\n_p2:12\n_p3:o\n_p4:c\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:10\n_p3:o\n_p4:c\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:20\n_p3:o\n_p4:c\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:32\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:2.7\nr0:0.0 r1:0 r2:0 r3:0 V:1\nX:\n_p0:4\n_p1:5\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:9.8\nr0:0.0 r1:1.0 r2:4.6 r3:1.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:4.4\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:4.9\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:c\n_p4:f\n_p5:2\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:4.5\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:8.6\nr0:0 r1:1.2 r2:0.7 r3:1.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:16\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:1\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:8.6\nr0:0 r1:1.2 r2:0.7 r3:1.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:c\n_p5:60\n_p6:1\nY:10.1\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:2\n_p1:5\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:15\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:1\n_p2:30\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:80\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.6\nr0:0.0 r1:1.6 r2:7.4 r3:3.0 V:0\nX:\n_p0:3\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.4\nr0:0.0 r1:1.5 r2:6.6 r3:2.8 V:0\nX:\n_p0:2\n_p1:20\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:6\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.1\nr0:0 r1:2.3 r2:11.0 r3:4.4 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:c\n_p4:o\n_p5:1\n_p6:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:15\n_p1:1\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:10.5\nTV:0\n", "outputs":"### outputs: _p0:4\n_p1:2\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[200][240],double ey[200][240],double hz[200][240],double _fict_[100])\n{\n  int t;\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 100; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 240; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 0; j < 240; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (i = 0; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n      for (j = 1; j < 240; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 200 - 1; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 240 - 1; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.5 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:1\n_p8:o\n_p9:o\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.0\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:32\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.5 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-3.2\nr0:0.5 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:239\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.6\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-3.2\nr0:0.5 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:25\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.2 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.5 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 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V:0\nX:\n_p0:16\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:f\n_p9:o\n_p10:o\n_p11:o\n_p12:4\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:25\n_p1:16\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:f\n_p9:o\n_p10:o\n_p11:o\n_p12:2\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:1\n_p6:1\n_p7:16\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.9\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:2\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.7 r1:1.0 r2:0.7 r3:1.0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:32\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.8\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:239\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:-3.3\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[120], double x2[120], double y_1[120], double y_2[120], double A[120][120])\n{\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 120; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 120; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:4\n_p1:2\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:24\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:10.3\nr0:0.1 r1:0.4 r2:0.4 r3:0.4 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:12\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:8.7\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:1\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:8\n_p7:120\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:1\n_p7:120\nY:9.1\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:15\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:8.0\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:20\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:120\n_p7:1\nY:9.0\nr0:0.1 r1:0.1 r2:0.1 r3:0.1 V:1\nX:\n_p0:4\n_p1:2\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:4\nY:8.3\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:1\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:4\n_p7:120\nY:9.6\nr0:0.0 r1:0.5 r2:0.3 r3:0.8 V:0\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:3\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.3\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.9\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:4\n_p1:1\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:1\n_p7:120\nY:8.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:2\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:2\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:9.3\nr0:0.1 r1:1.6 r2:1.0 r3:3.1 V:0\nX:\n_p0:1\n_p1:24\n_p2:1\n_p3:6\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:11.1\nr0:0.2 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:8\n_p1:10\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:4\nY:8.7\nr0:0.1 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:6\n_p2:15\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:8.1\nr0:0.0 r1:0.6 r2:0.4 r3:1.2 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:8.4\nr0:0.0 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:6\n_p2:24\n_p3:1\n_p4:c\n_p5:f\n_p6:120\n_p7:8\nY:8.5\nr0:0.0 r1:0.7 r2:0.4 r3:1.4 V:0\nX:\n_p0:1\n_p1:10\n_p2:15\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:8.0\nr0:0.0 r1:1.0 r2:0.6 r3:1.9 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:1\nX:\n_p0:1\n_p1:3\n_p2:15\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:8.1\nr0:0.0 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:2\n_p1:2\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:4\n_p7:1\nY:10.5\nr0:0.0 r1:0.3 r2:0.2 r3:0.4 V:1\nX:\n_p0:20\n_p1:2\n_p2:24\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:8\nY:10.5\nr0:0.0 r1:0.7 r2:0.5 r3:0.6 V:1\nX:\n_p0:5\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:9.6\nr0:0.0 r1:0.5 r2:0.3 r3:1.0 V:0\nX:\n_p0:4\n_p1:1\n_p2:10\n_p3:30\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.5\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:3\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:16\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:32\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:3\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:120\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:16\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:2\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:32\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:9.4\nr0:0.1 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:6.4\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:10\n_p2:20\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:8.7\nr0:0.0 r1:1.0 r2:0.6 r3:1.9 V:0\nX:\n_p0:16\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:11.3\nr0:0.0 r1:1.6 r2:1.0 r3:3.1 V:0\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:15\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.7\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:5\n_p2:24\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:8.1\nr0:0.0 r1:0.5 r2:0.3 r3:1.0 V:0\nTY:10.5\nTV:1\n", "outputs":"### outputs: _p0:2\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:4\n_p7:120\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_trmm(double alpha,double A[60][60],double B[60][80])\n{\n//BLAS parameters\n//SIDE   = 'L'\n//UPLO   = 'L'\n//TRANSA = 'T'\n//DIAG   = 'U'\n// => Form  B := alpha*A**T*B.\n// A is MxM\n// B is MxN\n  \n#pragma ACCEL PIPELINE auto{_p3}\n  \n#pragma ACCEL TILE FACTOR=auto{_p5}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (int i = 0; i < 60; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p4}\n    \n#pragma ACCEL TILE FACTOR=auto{_p6}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (int j = 0; j < 80; j++) {\n      double sum = B[i][j];\n#pragma ACCEL PARALLEL reduction=sum FACTOR=auto{_p2}\n      for (int k = 0; k < 60; k++) {\n        if (k > i) {\n          sum += A[k][i] * B[k][j];\n        }\n      }\n      B[i][j] = alpha * sum;\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:4.5\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:5.0\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:2\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:12\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.0\nr0:0.0 r1:4.2 r2:17.6 r3:8.4 V:0\nX:\n_p0:1\n_p1:10\n_p2:15\n_p3:o\n_p4:c\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:4.3\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:32\n_p2:32\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:2\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.5\nr0:0.0 r1:0.4 r2:2.5 r3:0.4 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:5.0\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:16\n_p2:16\n_p3:o\n_p4:c\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:8.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.4 V:1\nX:\n_p0:6\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.1\nr0:0 r1:2.3 r2:11.0 r3:4.4 V:0\nX:\n_p0:2\n_p1:20\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.3\nr0:0 r1:2.1 r2:7.3 r3:3.8 V:0\nX:\n_p0:2\n_p1:4\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.1\nr0:0.0 r1:0.5 r2:2.6 r3:0.8 V:0\nX:\n_p0:1\n_p1:8\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:8.7\nr0:0.0 r1:0.5 r2:0.3 r3:0.8 V:1\nX:\n_p0:1\n_p1:80\n_p2:12\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:3.9\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:20\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:8.6\nr0:0 r1:1.2 r2:0.7 r3:1.9 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:o\n_p4:c\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:3.9\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:8\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:4.2\nr0:0.0 r1:0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:4.9\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:5.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:20\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:4\nY:8.6\nr0:0 r1:1.2 r2:0.7 r3:1.9 V:0\nX:\n_p0:1\n_p1:10\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:8\nY:8.5\nr0:0 r1:0.6 r2:0.3 r3:1.0 V:0\nX:\n_p0:2\n_p1:16\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:8.7\nr0:0.0 r1:0.5 r2:0.3 r3:0.8 V:1\nX:\n_p0:1\n_p1:5\n_p2:3\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:4.9\nr0:0.1 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:4\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:30\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:5.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:5\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:4.8\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:2\n_p1:5\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:9.8\nr0:0.0 r1:0.6 r2:1.8 r3:1.0 V:0\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:2.7\nr0:0.0 r1:0 r2:0 r3:0 V:1\nX:\n_p0:2\n_p1:20\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.7\nr0:0.0 r1:0.5 r2:0.3 r3:0.8 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:4.2\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:2\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:2\n_p2:20\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:80\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:4.2\nr0:0.0 r1:0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:10\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:8.5\nr0:0 r1:0.6 r2:0.3 r3:1.0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:c\n_p4:f\n_p5:2\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:16\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.7\nr0:0.0 r1:3.1 r2:14.8 r3:6.0 V:0\nX:\n_p0:1\n_p1:2\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:60\n_p3:o\n_p4:c\n_p5:60\n_p6:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.6\nr0:0 r1:1.2 r2:0.7 r3:1.9 V:0\nX:\n_p0:1\n_p1:8\n_p2:15\n_p3:o\n_p4:c\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:c\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:4\nY:8.6\nr0:0 r1:1.2 r2:0.7 r3:1.9 V:0\nX:\n_p0:1\n_p1:10\n_p2:12\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:15\n_p3:o\n_p4:c\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:3\n_p1:2\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.3\nr0:0.0 r1:0.4 r2:4.7 r3:0.6 V:0\nX:\n_p0:4\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.6\nr0:0.0 r1:1.6 r2:7.4 r3:3.0 V:0\nX:\n_p0:1\n_p1:16\n_p2:20\n_p3:o\n_p4:c\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:15\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:4\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:3.9\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:16\n_p3:o\n_p4:o\n_p5:60\n_p6:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_covariance(int m,int n,double float_n,double data[100][80],double cov[80][80],double mean[80])\n{\n  int i;\n  int j;\n  int k;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p6}\n  \n#pragma ACCEL TILE FACTOR=auto{_p10}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (j = 0; j < 80; j++) {\n    mean[j] = 0.0;\n    \n#pragma ACCEL PARALLEL reduction=mean FACTOR=auto{_p3}\n    for (i = 0; i < 100; i++) {\n      mean[j] += data[i][j];\n    }\n    mean[j] /= float_n;\n  }\n  \n#pragma ACCEL PIPELINE auto{_p7}\n  \n#pragma ACCEL TILE FACTOR=auto{_p11}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 100; i++) {\n    \n#pragma ACCEL PARALLEL reduction=data FACTOR=auto{_p4}\n    for (j = 0; j < 80; j++) {\n      data[i][j] -= mean[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    for (j = i; j < 80; j++) {\n      cov[i][j] = 0.0;\n      \n#pragma ACCEL PARALLEL reduction=cov FACTOR=auto{_p5}\n      for (k = 0; k < 100; k++) {\n        cov[i][j] += data[k][i] * data[k][j];\n      }\n      cov[i][j] /= float_n - 1.0;\n      cov[j][i] = cov[i][j];\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:5\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.2\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:8\n_p1:2\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:8\n_p11:8\n_p12:1\nY:3.6\nr0:0.0 r1:0.6 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.0\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.2\nr0:0.0 r1:0.3 r2:0.2 r3:0.1 V:1\nX:\n_p0:8\n_p1:5\n_p2:20\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:4\nY:4.3\nr0:0.0 r1:0.4 r2:0.2 r3:0.1 V:1\nX:\n_p0:8\n_p1:1\n_p2:4\n_p3:32\n_p4:1\n_p5:16\n_p6:c\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:32\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:4\n_p2:32\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:80\n_p11:4\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:2\n_p12:1\nY:3.3\nr0:0.0 r1:0.3 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:10\n_p6:o\n_p7:o\n_p8:c\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:10\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:2\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:2\n_p11:8\n_p12:1\nY:3.6\nr0:0.0 r1:0.5 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:8\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:8\n_p1:25\n_p2:10\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:8\nY:4.3\nr0:0.0 r1:0.4 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:100\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:7.1\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:8\n_p1:2\n_p2:10\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:4\n_p11:1\n_p12:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:8\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.3\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:80\n_p11:1\n_p12:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:4\n_p2:32\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:4\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.0\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:8\n_p1:2\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:4\n_p11:8\n_p12:80\nY:3.6\nr0:0.0 r1:0.6 r2:0.2 r3:0.2 V:1\nX:\n_p0:8\n_p1:10\n_p2:1\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:8\n_p12:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:2\n_p2:32\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:8\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:100\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:8.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:20\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:4\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:1\n_p5:10\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:25\n_p2:32\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.6\nr0:0.0 r1:0.6 r2:0.3 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:5\n_p6:f\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:2\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:4\n_p11:8\n_p12:1\nY:3.6\nr0:0.0 r1:0.6 r2:0.2 r3:0.2 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V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:2.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:10\n_p6:f\n_p7:o\n_p8:c\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:4\n_p2:32\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:4\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:1.5\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:2\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:2.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:5\n_p6:o\n_p7:o\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:1\n_p2:32\n_p3:32\n_p4:8\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.6\nr0:0.0 r1:0.5 r2:0.2 r3:0.1 V:1\nX:\n_p0:8\n_p1:1\n_p2:1\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:100\n_p12:80\nY:4.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:4\n_p1:1\n_p2:32\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:100\n_p12:1\nY:4.6\nr0:0.0 r1:0.7 r2:0.3 r3:0.3 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:16\n_p6:o\n_p7:o\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:32\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.7\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:8\n_p1:10\n_p2:1\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:80\nY:4.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:1\n_p4:1\n_p5:5\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:1\n_p5:8\n_p6:f\n_p7:f\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:32\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\nY:8.1\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:80\n_p11:100\n_p12:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:4\n_p2:20\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:2\n_p11:1\n_p12:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:100\n_p6:f\n_p7:o\n_p8:c\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:1\n_p2:20\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:c\n_p8:f\n_p9:o\n_p10:1\n_p11:100\n_p12:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:1\n_p2:20\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:100\n_p12:4\nY:4.3\nr0:0.0 r1:0.6 r2:0.2 r3:0.3 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:32\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:8\n_p12:1\nY:3.3\nr0:0.0 r1:0.3 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:80\n_p11:100\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:8\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.1\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nTY:4.6\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:32\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_trmm(double alpha,double A[60][60],double B[60][80])\n{\n//BLAS parameters\n//SIDE   = 'L'\n//UPLO   = 'L'\n//TRANSA = 'T'\n//DIAG   = 'U'\n// => Form  B := alpha*A**T*B.\n// A is MxM\n// B is MxN\n  \n#pragma ACCEL PIPELINE auto{_p3}\n  \n#pragma ACCEL TILE FACTOR=auto{_p5}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (int i = 0; i < 60; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p4}\n    \n#pragma ACCEL TILE FACTOR=auto{_p6}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (int j = 0; j < 80; j++) {\n      \n#pragma ACCEL PARALLEL reduction=B FACTOR=auto{_p2}\n      for (int k = 0; k < 60; k++) {\n        if (k > i) {\n          B[i][j] += A[k][i] * B[k][j];\n        }\n      }\n      B[i][j] = alpha * B[i][j];\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:8\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.2\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:30\n_p1:1\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:10\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:5\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:6\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:4\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:8\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:16\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:4\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:15\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:12\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:10\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:32\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:3\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:4\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:16\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.2\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nTY:1.3\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[120], double x2[120], double y_1[120], double y_2[120], double A[120][120])\n{\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 120; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 120; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:6\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:4\nY:9.4\nr0:0.1 r1:0.7 r2:0.4 r3:1.4 V:0\nX:\n_p0:8\n_p1:30\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:9.3\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:6\n_p4:c\n_p5:o\n_p6:1\n_p7:1\nY:7.4\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:24\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:7.7\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:2\n_p3:24\n_p4:c\n_p5:c\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_covariance(int m,int n,double float_n,double data[100][80],double cov[80][80],double mean[80])\n{\n  int i;\n  int j;\n  int k;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p6}\n  \n#pragma ACCEL TILE FACTOR=auto{_p10}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (j = 0; j < 80; j++) {\n    mean[j] = 0.0;\n    \n#pragma ACCEL PARALLEL reduction=mean FACTOR=auto{_p3}\n    for (i = 0; i < 100; i++) {\n      mean[j] += data[i][j];\n    }\n    mean[j] /= float_n;\n  }\n  \n#pragma ACCEL PIPELINE auto{_p7}\n  \n#pragma ACCEL TILE FACTOR=auto{_p11}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 100; i++) {\n    \n#pragma ACCEL PARALLEL reduction=data FACTOR=auto{_p4}\n    for (j = 0; j < 80; j++) {\n      data[i][j] -= mean[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    for (j = i; j < 80; j++) {\n      cov[i][j] = 0.0;\n      \n#pragma ACCEL PARALLEL reduction=cov FACTOR=auto{_p5}\n      for (k = 0; k < 100; k++) {\n        cov[i][j] += data[k][i] * data[k][j];\n      }\n      cov[i][j] /= float_n - 1.0;\n      cov[j][i] = cov[i][j];\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:1.5\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:25\n_p6:f\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:1.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:8\n_p1:2\n_p2:20\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:4\nY:4.3\nr0:0.0 r1:0.4 r2:0.2 r3:0.1 V:1\nX:\n_p0:8\n_p1:4\n_p2:1\n_p3:32\n_p4:1\n_p5:16\n_p6:c\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:4\n_p2:1\n_p3:32\n_p4:1\n_p5:16\n_p6:c\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.8\nr0:0.0 r1:0.5 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:1\n_p6:f\n_p7:o\n_p8:c\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:8\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:2\n_p12:1\nY:3.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.1 V:1\nX:\n_p0:8\n_p1:1\n_p2:32\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:100\n_p12:1\nY:4.6\nr0:0.0 r1:0.5 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:10\n_p6:f\n_p7:f\n_p8:o\n_p9:c\n_p10:1\n_p11:4\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:1\n_p3:32\n_p4:1\n_p5:16\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.8\nr0:0.0 r1:0.4 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.4\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:8\n_p6:f\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:4\n_p6:f\n_p7:o\n_p8:c\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:10\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:2.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:8\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:10\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.7\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:80\n_p11:100\n_p12:8\nY:4.3\nr0:0.0 r1:0.4 r2:0.1 r3:0.2 V:1\nX:\n_p0:8\n_p1:4\n_p2:1\n_p3:32\n_p4:1\n_p5:16\n_p6:c\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:5\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.2\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:5\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.2\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:5\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.2\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:4\n_p1:4\n_p2:20\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:c\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:25\n_p6:o\n_p7:f\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:5\n_p6:o\n_p7:o\n_p8:c\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:1\n_p4:1\n_p5:2\n_p6:f\n_p7:f\n_p8:c\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:1\n_p5:25\n_p6:f\n_p7:f\n_p8:c\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:1\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:100\n_p12:80\nY:4.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:4\n_p1:1\n_p2:10\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:100\n_p12:8\nY:4.3\nr0:0.0 r1:0.5 r2:0.2 r3:0.3 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:80\n_p11:1\n_p12:80\nY:4.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:8\n_p1:2\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:8\n_p11:8\n_p12:80\nY:3.6\nr0:0.0 r1:0.6 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:16\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:8\n_p1:1\n_p2:20\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:8\n_p11:100\n_p12:4\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.7\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:f\n_p7:f\n_p8:o\n_p9:c\n_p10:1\n_p11:4\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:1\n_p6:f\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:32\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:25\n_p2:32\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.6\nr0:0.0 r1:0.6 r2:0.3 r3:0.2 V:1\nX:\n_p0:8\n_p1:2\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:4\n_p11:8\n_p12:1\nY:3.6\nr0:0.0 r1:0.6 r2:0.2 r3:0.2 V:1\nX:\n_p0:8\n_p1:25\n_p2:1\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:4\n_p11:1\n_p12:80\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:20\n_p6:o\n_p7:f\n_p8:c\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:1\n_p4:1\n_p5:5\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:32\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:5\n_p2:1\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:80\nY:4.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:2\n_p6:f\n_p7:o\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\nY:7.3\nr0:0.0 r1:0.4 r2:0.2 r3:0.1 V:1\nX:\n_p0:8\n_p1:1\n_p2:1\n_p3:32\n_p4:1\n_p5:1\n_p6:c\n_p7:f\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:16\n_p6:f\n_p7:o\n_p8:c\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:8\n_p12:1\nY:2.2\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:8\n_p1:1\n_p2:32\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:4\n_p11:100\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:100\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:8.8\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:100\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:7.2\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:1\n_p5:8\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nTY:4.3\nTV:1\n", "outputs":"### outputs: _p0:8\n_p1:25\n_p2:10\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:8\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_syr2k(double alpha,double beta,double C[80][80],double A[80][60],double B[80][60])\n{\n  int i;\n  int j;\n  int k;\n//BLAS PARAMS\n//UPLO  = 'L'\n//TRANS = 'N'\n//A is NxM\n//B is NxM\n//C is NxN\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      if (j <= i) {\n        C[i][j] *= beta;\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p5}\n    \n#pragma ACCEL TILE FACTOR=auto{_p7}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (k = 0; k < 60; k++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        if (j <= i) {\n          C[i][j] += A[j][k] * alpha * B[i][k] + B[j][k] * alpha * A[i][k];\n        }\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:2\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:5\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.5\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.2\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:8\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:2\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:4\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:5\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.4\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:5.7\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.9\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:2\n_p2:12\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:6\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:8\nY:6.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:4.3\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:2.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.4\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:4\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:5\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:5\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:3.7\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:5\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:6\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:4\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:3\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:60\nY:7.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:3\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:6.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:5\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:2\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:6\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:2\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:8\nY:6.2\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.2\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.1 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:4\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:3\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.2\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:2\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:16\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:2\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.1 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:4\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nTY:7.6\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:16\n_p2:3\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_covariance(int m,int n,double float_n,double data[100][80],double cov[80][80],double mean[80])\n{\n  int i;\n  int j;\n  int k;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p6}\n  \n#pragma ACCEL TILE FACTOR=auto{_p10}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (j = 0; j < 80; j++) {\n    mean[j] = 0.0;\n    \n#pragma ACCEL PARALLEL reduction=mean FACTOR=auto{_p3}\n    for (i = 0; i < 100; i++) {\n      mean[j] += data[i][j];\n    }\n    mean[j] /= float_n;\n  }\n  \n#pragma ACCEL PIPELINE auto{_p7}\n  \n#pragma ACCEL TILE FACTOR=auto{_p11}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 100; i++) {\n    \n#pragma ACCEL PARALLEL reduction=data FACTOR=auto{_p4}\n    for (j = 0; j < 80; j++) {\n      data[i][j] -= mean[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    for (j = i; j < 80; j++) {\n      cov[i][j] = 0.0;\n      \n#pragma ACCEL PARALLEL reduction=cov FACTOR=auto{_p5}\n      for (k = 0; k < 100; k++) {\n        cov[i][j] += data[k][i] * data[k][j];\n      }\n      cov[i][j] /= float_n - 1.0;\n      cov[j][i] = cov[i][j];\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:1\n_p4:2\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.6\nr0:0.0 r1:0.5 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:10\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:2\n_p1:1\n_p2:20\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:100\n_p12:4\nY:4.3\nr0:0.0 r1:0.5 r2:0.2 r3:0.2 V:1\nX:\n_p0:8\n_p1:1\n_p2:1\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:4\n_p11:100\n_p12:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:10\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.7\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:8\n_p1:25\n_p2:32\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:4\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.0\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:10\n_p6:f\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:80\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:8\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:25\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:100\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:16\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.5\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:20\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.0\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:1\n_p6:f\n_p7:o\n_p8:c\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:25\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.0\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:16\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\nY:8.1\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 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V:1\nX:\n_p0:1\n_p1:2\n_p2:32\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.6\nr0:0.0 r1:0.5 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:2\n_p12:1\nY:2.9\nr0:0.0 r1:0.2 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:20\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.8\nr0:0.0 r1:0.4 r2:0.2 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\nY:7.8\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:1\n_p5:4\n_p6:f\n_p7:f\n_p8:c\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:8\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:32\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:100\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:5.0\nr0:0.1 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:4\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.0\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:8\n_p1:4\n_p2:1\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:80\nY:4.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:80\n_p11:8\n_p12:80\nY:3.6\nr0:0.0 r1:0.4 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:4\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.0\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:25\n_p6:o\n_p7:o\n_p8:c\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:10\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:80\n_p11:1\n_p12:8\nY:4.3\nr0:0.0 r1:0.4 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:2.3\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:8\n_p12:1\nY:3.6\nr0:0.0 r1:0.8 r2:0.3 r3:0.3 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:2\n_p12:1\nY:3.5\nr0:0.1 r1:0.3 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:20\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:20\n_p5:1\n_p6:o\n_p7:c\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:2\n_p12:1\nY:3.3\nr0:0.1 r1:0.3 r2:0.2 r3:0.1 V:1\nX:\n_p0:8\n_p1:4\n_p2:1\n_p3:32\n_p4:1\n_p5:16\n_p6:c\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.8\nr0:0.0 r1:0.5 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:1\n_p4:1\n_p5:25\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:1\n_p5:25\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:32\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.7\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:20\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:10\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.7\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.0\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:2\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:2.3\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:1.5\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:2\n_p12:1\nY:2.3\nr0:0.0 r1:0.3 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:5\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.1\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:16\n_p1:1\n_p2:32\n_p3:32\n_p4:8\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.6\nr0:0.0 r1:0.5 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:2\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:2.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:1\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:2\n_p12:1\nY:3.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:1\n_p5:32\n_p6:f\n_p7:f\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:8\n_p12:1\nY:2.2\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:2.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\nY:7.1\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:20\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:4\n_p12:1\nY:2.9\nr0:0.0 r1:0.3 r2:0.3 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:o\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:2\n_p12:1\nY:3.1\nr0:0.0 r1:0.3 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:3.6\nTV:1\n", "outputs":"### outputs: _p0:2\n_p1:2\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:8\n_p12:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_2mm(int ni,int nj,int nk,int nl,double alpha,double beta,double tmp[40][50],double A[40][70],double B[70][50],double C[50][80],double D[40][80])\n{\n  int i;\n  int j;\n  int k;\n  \n#pragma ACCEL PIPELINE auto{_p6}\n  \n#pragma ACCEL TILE FACTOR=auto{_p10}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 40; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p8}\n    \n#pragma ACCEL TILE FACTOR=auto{_p12}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (j = 0; j < 50; j++) {\n      tmp[i][j] = 0.0;\n      \n#pragma ACCEL PARALLEL reduction = tmp FACTOR=auto{_p4}\n      for (k = 0; k < 70; ++k) {\n        tmp[i][j] += alpha * A[i][k] * B[k][j];\n      }\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p7}\n  \n#pragma ACCEL TILE FACTOR=auto{_p11}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 40; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (j = 0; j < 80; j++) {\n      D[i][j] *= beta;\n      \n#pragma ACCEL PARALLEL reduction = D FACTOR=auto{_p5}\n      for (k = 0; k < 50; ++k) {\n        D[i][j] += tmp[i][k] * C[k][j];\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:20\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:c\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:70\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:10.8\nr0:0.0 r1:2.6 r2:1.6 r3:5.7 V:0\nX:\n_p0:1\n_p1:5\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:1\n_p5:25\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:2\n_p11:8\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:50\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:14\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:6.1\nr0:0.0 r1:0.2 r2:0.1 r3:0.3 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.7\nr0:0.0 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:8\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:4\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:1\n_p5:5\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.9\nr0:0.0 r1:2.4 r2:1.6 r3:5.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:10.8\nr0:0.0 r1:2.5 r2:1.6 r3:5.7 V:0\nTY:5.8\nTV:0\n", "outputs":"### outputs: _p0:1\n_p1:10\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_trmm(double alpha,double A[60][60],double B[60][80])\n{\n//BLAS parameters\n//SIDE   = 'L'\n//UPLO   = 'L'\n//TRANSA = 'T'\n//DIAG   = 'U'\n// => Form  B := alpha*A**T*B.\n// A is MxM\n// B is MxN\n  \n#pragma ACCEL PIPELINE auto{_p3}\n  \n#pragma ACCEL TILE FACTOR=auto{_p5}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (int i = 0; i < 60; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p4}\n    \n#pragma ACCEL TILE FACTOR=auto{_p6}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (int j = 0; j < 80; j++) {\n      \n#pragma ACCEL PARALLEL reduction=B FACTOR=auto{_p2}\n      for (int k = 0; k < 60; k++) {\n        if (k > i) {\n          B[i][j] += A[k][i] * B[k][j];\n        }\n      }\n      B[i][j] = alpha * B[i][j];\n    }\n  }\n}\n ```\nX:\n_p0:60\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:15\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:80\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:5\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:20\n_p2:5\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:30\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:1\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:2\n_p2:4\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:8\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:3\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:10\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:4\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:2\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:15\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:2\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.2\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:6\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:2\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:4\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.2\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.2\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:5\n_p2:15\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:4\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.2\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nTY:1.2\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_syr2k(double alpha,double beta,double C[80][80],double A[80][60],double B[80][60])\n{\n  int i;\n  int j;\n  int k;\n//BLAS PARAMS\n//UPLO  = 'L'\n//TRANS = 'N'\n//A is NxM\n//B is NxM\n//C is NxN\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      if (j <= i) {\n        C[i][j] *= beta;\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p5}\n    \n#pragma ACCEL TILE FACTOR=auto{_p7}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (k = 0; k < 60; k++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        if (j <= i) {\n          C[i][j] += A[j][k] * alpha * B[i][k] + B[j][k] * alpha * A[i][k];\n        }\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:1\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:4\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.3\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:6.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:3\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:2\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:16\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:5\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:30\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:5\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:3.7\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:2\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:10\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.7\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:6\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:2.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:5\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nTY:7.7\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:8\n_p2:6\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[200][240],double ey[200][240],double hz[200][240],double _fict_[100])\n{\n  int t;\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 100; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 240; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 0; j < 240; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (i = 0; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n      for (j = 1; j < 240; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 200 - 1; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 240 - 1; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:32\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.7\nr0:0.5 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-0.3\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:10\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.9\nr0:0.1 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.4 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:239\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:f\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.3\nr0:0.8 r1:1.8 r2:1.4 r3:1.4 V:0\nX:\n_p0:16\n_p1:1\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:2\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:1\n_p7:4\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:20\n_p1:1\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:8\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.5 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:8\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.9\nr0:0.6 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:32\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.2\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:4\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:4\n_p8:o\n_p9:o\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:0.5\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:4\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_covariance(int m,int n,double float_n,double data[100][80],double cov[80][80],double mean[80])\n{\n  int i;\n  int j;\n  int k;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p6}\n  \n#pragma ACCEL TILE FACTOR=auto{_p10}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (j = 0; j < 80; j++) {\n    mean[j] = 0.0;\n    \n#pragma ACCEL PARALLEL reduction=mean FACTOR=auto{_p3}\n    for (i = 0; i < 100; i++) {\n      mean[j] += data[i][j];\n    }\n    mean[j] /= float_n;\n  }\n  \n#pragma ACCEL PIPELINE auto{_p7}\n  \n#pragma ACCEL TILE FACTOR=auto{_p11}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 100; i++) {\n    \n#pragma ACCEL PARALLEL reduction=data FACTOR=auto{_p4}\n    for (j = 0; j < 80; j++) {\n      data[i][j] -= mean[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    for (j = i; j < 80; j++) {\n      cov[i][j] = 0.0;\n      \n#pragma ACCEL PARALLEL reduction=cov FACTOR=auto{_p5}\n      for (k = 0; k < 100; k++) {\n        cov[i][j] += data[k][i] * data[k][j];\n      }\n      cov[i][j] /= float_n - 1.0;\n      cov[j][i] = cov[i][j];\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:8\n_p1:2\n_p2:1\n_p3:32\n_p4:1\n_p5:16\n_p6:c\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.8\nr0:0.0 r1:0.4 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:2\n_p6:o\n_p7:o\n_p8:c\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:4\n_p2:1\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:2\n_p11:1\n_p12:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:32\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:4\n_p12:1\nY:3.3\nr0:0.0 r1:0.3 r2:0.3 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:32\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:2\n_p12:1\nY:3.3\nr0:0.0 r1:0.3 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:1\n_p5:16\n_p6:o\n_p7:f\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:32\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.5\nr0:0.0 r1:0.4 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:4\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.1\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:8\n_p1:2\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:4\n_p11:8\n_p12:1\nY:3.6\nr0:0.0 r1:0.6 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:1\n_p4:4\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.6\nr0:0.0 r1:0.5 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.2\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:2\n_p12:1\nY:1.4\nr0:0.0 r1:0.2 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:32\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.5\nr0:0.0 r1:0.2 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:10\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.5\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:32\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:8\n_p12:1\nY:3.3\nr0:0.0 r1:0.3 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:4\n_p12:1\nY:2.2\nr0:0.0 r1:0.3 r2:0.3 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:25\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.9\nr0:0.0 r1:0.5 r2:0.5 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:10\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.7\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.3\nr0:0.0 r1:0.4 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:4\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.0\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:25\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:4\n_p2:32\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:4\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:4\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:2\n_p11:1\n_p12:80\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:20\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:4\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:1\n_p6:f\n_p7:c\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:10\n_p6:o\n_p7:f\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:32\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:c\n_p9:c\n_p10:80\n_p11:8\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:100\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:5.0\nr0:0.1 r1:0.2 r2:0.1 r3:0.1 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V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:f\n_p7:f\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:2\n_p2:32\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:8\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:32\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.6\nr0:0.0 r1:0.5 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:16\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:2\n_p1:1\n_p2:10\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:100\n_p12:8\nY:4.3\nr0:0.0 r1:0.4 r2:0.2 r3:0.2 V:1\nX:\n_p0:16\n_p1:1\n_p2:32\n_p3:32\n_p4:8\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.6\nr0:0.0 r1:0.5 r2:0.2 r3:0.1 V:1\nX:\n_p0:4\n_p1:4\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:80\nY:4.4\nr0:0.0 r1:0.4 r2:0.2 r3:0.3 V:1\nX:\n_p0:8\n_p1:1\n_p2:10\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:c\n_p8:f\n_p9:o\n_p10:1\n_p11:100\n_p12:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:25\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.0\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:1\n_p6:f\n_p7:o\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:1\n_p5:32\n_p6:f\n_p7:f\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:80\n_p11:1\n_p12:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:100\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:100\n_p6:f\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:5.2\nr0:0.1 r1:0.3 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:32\n_p4:4\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.6\nr0:0.0 r1:0.5 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:1\n_p5:8\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:10\n_p6:o\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:2\n_p12:1\nY:2.9\nr0:0.0 r1:0.2 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.0\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:8\n_p12:1\nY:3.6\nr0:0.0 r1:0.5 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:f\n_p7:c\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:2\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.3\nr0:0.0 r1:0.3 r2:0.1 r3:0.2 V:1\nX:\n_p0:8\n_p1:25\n_p2:32\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:4\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:2\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:8\n_p11:8\n_p12:1\nY:3.6\nr0:0.0 r1:0.6 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:10\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:2\n_p12:1\nY:3.4\nr0:0.1 r1:0.2 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:f\n_p7:f\n_p8:c\n_p9:c\n_p10:1\n_p11:2\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:20\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:5\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.2\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nTY:3.6\nTV:1\n", "outputs":"### outputs: _p0:4\n_p1:2\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:8\n_p12:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_covariance(int m,int n,double float_n,double data[100][80],double cov[80][80],double mean[80])\n{\n  int i;\n  int j;\n  int k;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p6}\n  \n#pragma ACCEL TILE FACTOR=auto{_p10}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (j = 0; j < 80; j++) {\n    mean[j] = 0.0;\n    \n#pragma ACCEL PARALLEL reduction=mean FACTOR=auto{_p3}\n    for (i = 0; i < 100; i++) {\n      mean[j] += data[i][j];\n    }\n    mean[j] /= float_n;\n  }\n  \n#pragma ACCEL PIPELINE auto{_p7}\n  \n#pragma ACCEL TILE FACTOR=auto{_p11}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 100; i++) {\n    \n#pragma ACCEL PARALLEL reduction=data FACTOR=auto{_p4}\n    for (j = 0; j < 80; j++) {\n      data[i][j] -= mean[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    for (j = i; j < 80; j++) {\n      cov[i][j] = 0.0;\n      \n#pragma ACCEL PARALLEL reduction=cov FACTOR=auto{_p5}\n      for (k = 0; k < 100; k++) {\n        cov[i][j] += data[k][i] * data[k][j];\n      }\n      cov[i][j] /= float_n - 1.0;\n      cov[j][i] = cov[i][j];\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:32\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:16\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:20\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:2\n_p12:1\nY:3.4\nr0:0.0 r1:0.3 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:16\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.5\nr0:0.0 r1:0.3 r2:0.1 r3:0.0 V:1\nX:\n_p0:8\n_p1:10\n_p2:32\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.6\nr0:0.0 r1:0.5 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:1\n_p4:4\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.6\nr0:0.0 r1:0.5 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\nY:8.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:2\n_p6:o\n_p7:o\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:100\n_p6:o\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:c\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:1.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 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V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:o\n_p9:f\n_p10:1\n_p11:2\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:16\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:100\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.7\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:16\n_p4:1\n_p5:16\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.6\nr0:0.0 r1:0.4 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:o\n_p7:f\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:25\n_p2:10\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:8\nY:4.3\nr0:0.0 r1:0.4 r2:0.2 r3:0.2 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V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:1\n_p5:20\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.9\nr0:0.0 r1:0.4 r2:0.2 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:10\n_p6:o\n_p7:o\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:f\n_p7:o\n_p8:c\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:1\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:100\n_p12:80\nY:4.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.4\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:4\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.0\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:5\n_p6:o\n_p7:o\n_p8:c\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:32\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.5\nr0:0.0 r1:0.2 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:32\n_p2:1\n_p3:32\n_p4:1\n_p5:16\n_p6:c\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:3.1\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:5\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[200][240],double ey[200][240],double hz[200][240],double _fict_[100])\n{\n  int t;\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 100; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 240; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 0; j < 240; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (i = 0; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n      for (j = 1; j < 240; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 200 - 1; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 240 - 1; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.6 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:4\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.3\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:239\n_p8:o\n_p9:f\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:32\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.4\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:239\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.9\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:-0.0\nr0:0.1 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:1\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:8\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:199\n_p3:2\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:1\n_p8:o\n_p9:o\n_p10:c\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:199\n_p3:10\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:239\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.3\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:32\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:2\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.8\nr0:0.5 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:f\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:5\n_p6:1\n_p7:4\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.4\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:1\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.0\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:239\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:10\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:2\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.3\nr0:0.7 r1:1.0 r2:0.9 r3:1.0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.4 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:8\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.9\nr0:0.6 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:32\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.6 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-3.3\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:32\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.5 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-3.3\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:2\n_p8:o\n_p9:f\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:1\n_p8:o\n_p9:o\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:32\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.8\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:3\n_p6:1\n_p7:16\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:1\n_p7:8\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:2\n_p8:o\n_p9:o\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:3.4\nr0:0.6 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:1\n_p7:239\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:12\n_p6:1\n_p7:4\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-3.2\nr0:0.5 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:8\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.3\nr0:0.5 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-0.5\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:1\n_p7:4\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:4\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:32\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.1\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:1\n_p4:16\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:4\n_p3:1\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:32\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:16\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:32\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.6 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:1.5\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_trmm(double alpha,double A[60][60],double B[60][80])\n{\n//BLAS parameters\n//SIDE   = 'L'\n//UPLO   = 'L'\n//TRANSA = 'T'\n//DIAG   = 'U'\n// => Form  B := alpha*A**T*B.\n// A is MxM\n// B is MxN\n  \n#pragma ACCEL PIPELINE auto{_p3}\n  \n#pragma ACCEL TILE FACTOR=auto{_p5}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (int i = 0; i < 60; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p4}\n    \n#pragma ACCEL TILE FACTOR=auto{_p6}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (int j = 0; j < 80; j++) {\n      double sum = B[i][j];\n#pragma ACCEL PARALLEL reduction=sum FACTOR=auto{_p2}\n      for (int k = 0; k < 60; k++) {\n        if (k > i) {\n          sum += A[k][i] * B[k][j];\n        }\n      }\n      B[i][j] = alpha * sum;\n    }\n  }\n}\n ```\nX:\n_p0:2\n_p1:16\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.5\nr0:0.0 r1:1.7 r2:5.8 r3:3.0 V:0\nX:\n_p0:1\n_p1:5\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:4\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.1\nr0:0.0 r1:0.5 r2:2.6 r3:0.8 V:0\nX:\n_p0:1\n_p1:2\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:4\n_p2:5\n_p3:o\n_p4:o\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:5.0\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:20\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:8.6\nr0:0 r1:1.2 r2:0.7 r3:1.9 V:0\nX:\n_p0:1\n_p1:10\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:8\nY:8.5\nr0:0 r1:0.6 r2:0.3 r3:1.0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:8.2\nr0:0.0 r1:0.3 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:10\n_p3:o\n_p4:c\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:8.7\nr0:0.0 r1:0.9 r2:0.6 r3:1.5 V:0\nX:\n_p0:1\n_p1:5\n_p2:15\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.7\nr0:0.0 r1:0.9 r2:0.6 r3:1.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:4.5\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:5.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:60\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:8.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.4 V:1\nX:\n_p0:1\n_p1:5\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:8.2\nr0:0.0 r1:0.3 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:10\n_p2:5\n_p3:o\n_p4:o\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:4\n_p3:o\n_p4:c\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:2.7\nr0:0.0 r1:0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:2\n_p2:5\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:o\n_p4:o\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:4.9\nr0:0.1 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:4\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:8.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.4 V:1\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:o\n_p4:c\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:30\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:5.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:80\n_p2:12\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:4.8\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nTY:8.4\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:2\n_p2:60\n_p3:o\n_p4:c\n_p5:60\n_p6:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[120], double x2[120], double y_1[120], double y_2[120], double A[120][120])\n{\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 120; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 120; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:8\n_p1:8\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:5\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:4\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:12\n_p2:1\n_p3:12\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:10.2\nr0:0.1 r1:0.2 r2:0.1 r3:0.3 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:c\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:15\n_p2:1\n_p3:8\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:8.4\nr0:0.1 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:24\n_p3:10\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:8.8\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:10\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:4\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:6\n_p4:c\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:1\n_p2:1\n_p3:120\n_p4:f\n_p5:c\n_p6:1\n_p7:120\nY:11.2\nr0:0.1 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:120\n_p7:120\nY:8.5\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:3\n_p2:32\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:7.6\nr0:0.1 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:8\n_p1:2\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:4\nY:8.6\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:20\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:11.1\nr0:0.2 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:8\n_p1:6\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:15\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:8.3\nr0:0.1 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:4\n_p1:24\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:1\n_p2:10\n_p3:12\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.4\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:10\n_p1:1\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:1\n_p7:120\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:24\n_p3:3\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.0\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:2\n_p1:1\n_p2:8\n_p3:24\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:9.0\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:4\n_p1:2\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:2\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:3\n_p2:10\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.9\nr0:0.0 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:3\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.0 r2:0 r3:0.0 V:1\nX:\n_p0:2\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:2\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:3\n_p2:32\n_p3:1\n_p4:c\n_p5:f\n_p6:120\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:6\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:8\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:24\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.0\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:8\n_p1:20\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:4\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:24\n_p3:1\n_p4:c\n_p5:f\n_p6:120\n_p7:8\nY:8.5\nr0:0.0 r1:1.1 r2:0.6 r3:2.1 V:0\nX:\n_p0:4\n_p1:1\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.8\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:8\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:2\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:8\n_p7:4\nY:10.4\nr0:0.0 r1:0.3 r2:0.2 r3:0.4 V:1\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:5\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.1\nr0:0.0 r1:0.0 r2:0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:10\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.4\nr0:0.1 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:12\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.1\nr0:0.1 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:120\n_p3:4\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.5\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:4\n_p2:12\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:9.1\nr0:0.0 r1:0.4 r2:0.2 r3:0.8 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:6\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.4\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:24\n_p2:1\n_p3:1\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:6.5\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:4\n_p1:8\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:1\n_p7:1\nY:10.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:5\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:1\n_p7:1\nY:8.2\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:30\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:2\n_p1:1\n_p2:12\n_p3:10\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:8.7\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:8\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:2\n_p7:1\nY:8.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:3\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:1\n_p7:2\nY:6.8\nr0:0.1 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:120\n_p3:2\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.8\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:2\n_p1:4\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:4\n_p7:4\nY:10.0\nr0:0.0 r1:0.6 r2:0.3 r3:0.8 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:3\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:7.9\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:3\n_p2:1\n_p3:120\n_p4:f\n_p5:c\n_p6:1\n_p7:2\nY:8.3\nr0:0.1 r1:0.4 r2:0.2 r3:0.8 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:3\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:32\n_p2:1\n_p3:16\n_p4:f\n_p5:c\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:30\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:1\n_p7:2\nY:8.7\nr0:0.0 r1:0.2 r2:0.2 r3:0.4 V:1\nTY:11.2\nTV:0\n", "outputs":"### outputs: _p0:12\n_p1:1\n_p2:1\n_p3:120\n_p4:f\n_p5:c\n_p6:1\n_p7:120\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_2mm(int ni,int nj,int nk,int nl,double alpha,double beta,double tmp[40][50],double A[40][70],double B[70][50],double C[50][80],double D[40][80])\n{\n  int i;\n  int j;\n  int k;\n  \n#pragma ACCEL PIPELINE auto{_p6}\n  \n#pragma ACCEL TILE FACTOR=auto{_p10}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 40; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p8}\n    \n#pragma ACCEL TILE FACTOR=auto{_p12}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (j = 0; j < 50; j++) {\n      tmp[i][j] = 0.0;\n      \n#pragma ACCEL PARALLEL reduction = tmp FACTOR=auto{_p4}\n      for (k = 0; k < 70; ++k) {\n        tmp[i][j] += alpha * A[i][k] * B[k][j];\n      }\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p7}\n  \n#pragma ACCEL TILE FACTOR=auto{_p11}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 40; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (j = 0; j < 80; j++) {\n      D[i][j] *= beta;\n      \n#pragma ACCEL PARALLEL reduction = D FACTOR=auto{_p5}\n      for (k = 0; k < 50; ++k) {\n        D[i][j] += tmp[i][k] * C[k][j];\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:8\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:14\n_p5:16\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:c\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:50\n_p6:o\n_p7:o\n_p8:f\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:10.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:5\n_p6:f\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:2\n_p5:1\n_p6:o\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.5\nr0:0.0 r1:2.8 r2:1.9 r3:6.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:70\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:11.5\nr0:0.0 r1:2.6 r2:1.6 r3:5.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:4\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.0\nr0:0.0 r1:0.2 r2:0.1 r3:0.3 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:50\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.7\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:32\n_p5:10\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:2\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.6\nr0:0.0 r1:0.1 r2:0.1 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V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:2\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:8\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:4\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:40\n_p12:50\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:14\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:6.1\nr0:0.0 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:50\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:50\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.4\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:8\n_p1:5\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:8\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:1\n_p5:8\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.0\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:8\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:2\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:7\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:80\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:8\n_p5:1\n_p6:o\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:2\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:7\n_p5:16\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.5\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:16\n_p6:o\n_p7:o\n_p8:f\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:5\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.5\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nTY:5.2\nTV:0\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:1\n_p5:10\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_trmm(double alpha,double A[60][60],double B[60][80])\n{\n//BLAS parameters\n//SIDE   = 'L'\n//UPLO   = 'L'\n//TRANSA = 'T'\n//DIAG   = 'U'\n// => Form  B := alpha*A**T*B.\n// A is MxM\n// B is MxN\n  \n#pragma ACCEL PIPELINE auto{_p3}\n  \n#pragma ACCEL TILE FACTOR=auto{_p5}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (int i = 0; i < 60; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p4}\n    \n#pragma ACCEL TILE FACTOR=auto{_p6}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (int j = 0; j < 80; j++) {\n      \n#pragma ACCEL PARALLEL reduction=B FACTOR=auto{_p2}\n      for (int k = 0; k < 60; k++) {\n        if (k > i) {\n          B[i][j] += A[k][i] * B[k][j];\n        }\n      }\n      B[i][j] = alpha * B[i][j];\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:c\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:1\nX:\n_p0:1\n_p1:8\n_p2:15\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:5\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:60\n_p1:1\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:8\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:15\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:30\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:1.3\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_covariance(int m,int n,double float_n,double data[100][80],double cov[80][80],double mean[80])\n{\n  int i;\n  int j;\n  int k;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p6}\n  \n#pragma ACCEL TILE FACTOR=auto{_p10}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (j = 0; j < 80; j++) {\n    mean[j] = 0.0;\n    \n#pragma ACCEL PARALLEL reduction=mean FACTOR=auto{_p3}\n    for (i = 0; i < 100; i++) {\n      mean[j] += data[i][j];\n    }\n    mean[j] /= float_n;\n  }\n  \n#pragma ACCEL PIPELINE auto{_p7}\n  \n#pragma ACCEL TILE FACTOR=auto{_p11}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 100; i++) {\n    \n#pragma ACCEL PARALLEL reduction=data FACTOR=auto{_p4}\n    for (j = 0; j < 80; j++) {\n      data[i][j] -= mean[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    for (j = i; j < 80; j++) {\n      cov[i][j] = 0.0;\n      \n#pragma ACCEL PARALLEL reduction=cov FACTOR=auto{_p5}\n      for (k = 0; k < 100; k++) {\n        cov[i][j] += data[k][i] * data[k][j];\n      }\n      cov[i][j] /= float_n - 1.0;\n      cov[j][i] = cov[i][j];\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:5\n_p6:o\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:1\n_p5:32\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:1\n_p5:20\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.9\nr0:0.0 r1:0.4 r2:0.2 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:8\n_p12:1\nY:3.3\nr0:0.1 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\nY:7.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:25\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:16\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.4\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:20\n_p2:20\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:4\n_p11:1\n_p12:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:100\n_p6:o\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:10\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:80\n_p11:1\n_p12:8\nY:4.3\nr0:0.0 r1:0.4 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:16\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:4\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.0\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:20\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.0\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:16\n_p2:32\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:2\n_p12:1\nY:2.3\nr0:0.0 r1:0.3 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:5\n_p6:o\n_p7:o\n_p8:c\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:20\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:32\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.5\nr0:0.0 r1:0.2 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:8\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:32\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:2\n_p12:1\nY:3.5\nr0:0.0 r1:0.3 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:20\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:80\n_p11:1\n_p12:4\nY:4.3\nr0:0.0 r1:0.4 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:5\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.2\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:c\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:25\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.9\nr0:0.0 r1:0.5 r2:0.3 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:20\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:8\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.3\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:2\n_p1:2\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:8\n_p12:1\nY:3.6\nr0:0.0 r1:0.4 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:100\n_p6:f\n_p7:f\n_p8:o\n_p9:c\n_p10:1\n_p11:4\n_p12:1\nY:3.7\nr0:0.1 r1:0.4 r2:0.3 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:100\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:2\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:20\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.0\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nTY:4.4\nTV:1\n", "outputs":"### outputs: _p0:4\n_p1:4\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:80\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_trmm(double alpha,double A[60][60],double B[60][80])\n{\n//BLAS parameters\n//SIDE   = 'L'\n//UPLO   = 'L'\n//TRANSA = 'T'\n//DIAG   = 'U'\n// => Form  B := alpha*A**T*B.\n// A is MxM\n// B is MxN\n  \n#pragma ACCEL PIPELINE auto{_p3}\n  \n#pragma ACCEL TILE FACTOR=auto{_p5}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (int i = 0; i < 60; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p4}\n    \n#pragma ACCEL TILE FACTOR=auto{_p6}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (int j = 0; j < 80; j++) {\n      \n#pragma ACCEL PARALLEL reduction=B FACTOR=auto{_p2}\n      for (int k = 0; k < 60; k++) {\n        if (k > i) {\n          B[i][j] += A[k][i] * B[k][j];\n        }\n      }\n      B[i][j] = alpha * B[i][j];\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.2\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:12\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:8\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:3\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:4\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:2\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:10\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:15\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:60\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:80\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:2\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:3\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:2\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:32\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:1\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:20\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:12\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:30\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:2\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:4\n_p2:12\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:30\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:2\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:80\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:16\n_p2:3\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:o\n_p4:c\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:32\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:20\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:80\n_p2:6\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:20\n_p2:4\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:30\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:o\n_p4:o\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:16\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:80\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:2\n_p2:6\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:4\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:3\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:1\nX:\n_p0:1\n_p1:4\n_p2:32\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:30\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:3\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.2\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:8\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:32\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:30\n_p3:o\n_p4:o\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:5\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:5\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:6\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:o\n_p4:c\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:30\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:15\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:32\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:1.3\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:15\n_p3:o\n_p4:o\n_p5:1\n_p6:80\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[120], double x2[120], double y_1[120], double y_2[120], double A[120][120])\n{\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 120; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 120; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:4\n_p1:4\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:3\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:8\nY:7.7\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:20\n_p1:2\n_p2:24\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:11.2\nr0:0.0 r1:0.6 r2:0.5 r3:0.6 V:1\nX:\n_p0:8\n_p1:1\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:9.4\nr0:0.1 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:8\n_p1:24\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:3\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:2\nY:8.3\nr0:0.0 r1:0.7 r2:0.4 r3:1.4 V:0\nX:\n_p0:1\n_p1:3\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:120\n_p7:1\nY:7.7\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:12\n_p4:c\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:10\n_p1:24\n_p2:1\n_p3:20\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:11.2\nr0:0.0 r1:1.3 r2:0.8 r3:2.2 V:0\nX:\n_p0:1\n_p1:8\n_p2:24\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:10.0\nr0:0.0 r1:0.8 r2:0.5 r3:1.6 V:0\nX:\n_p0:4\n_p1:24\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:30\n_p2:1\n_p3:2\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:9.1\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.2\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:4\n_p1:32\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:2\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:11.3\nr0:0.0 r1:0.3 r2:0.2 r3:0.4 V:1\nX:\n_p0:8\n_p1:3\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:24\n_p2:1\n_p3:20\n_p4:f\n_p5:o\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:4\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:9.8\nTV:0\n", "outputs":"### outputs: _p0:1\n_p1:12\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:8\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[200][240],double ey[200][240],double hz[200][240],double _fict_[100])\n{\n  int t;\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 100; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 240; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 0; j < 240; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (i = 0; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n      for (j = 1; j < 240; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 200 - 1; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 240 - 1; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:16\n_p2:8\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:10\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:2.2\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:4\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:32\n_p8:o\n_p9:f\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:2.6\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-0.3\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:1\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.3 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.6 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:4\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:5\n_p1:1\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:32\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-3.3\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:32\n_p2:2\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.3\nr0:0.7 r1:1.0 r2:0.9 r3:1.0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.5 r1:0.9 r2:0.5 r3:0.7 V:0\nX:\n_p0:32\n_p1:1\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:32\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:2\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:16\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.6 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-3.3\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.5 r1:0.9 r2:0.4 r3:0.7 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V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:8\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:5\n_p6:1\n_p7:2\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.2\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:8\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:199\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-3.2\nr0:0.9 r1:0.6 r2:0.4 r3:0.5 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:2\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:10\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:6\n_p6:1\n_p7:239\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.5\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:6\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.5\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:10\n_p6:1\n_p7:8\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.2\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.4 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-0.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:4\n_p8:o\n_p9:f\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:1\n_p6:1\n_p7:239\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:32\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.9\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:6\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:1\n_p7:4\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.6\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:f\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.8\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:16\n_p2:199\n_p3:200\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:c\n_p10:o\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:239\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:4\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:1\n_p6:1\n_p7:16\n_p8:o\n_p9:f\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:4\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:3\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.5 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:239\n_p8:o\n_p9:f\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:2.1\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-0.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:32\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:1\n_p7:16\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.2\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-3.2\nr0:0.5 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:1\n_p7:2\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:4\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.3\nr0:0.5 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:16\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.5 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:5\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:f\n_p9:o\n_p10:o\n_p11:o\n_p12:4\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:4\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.4 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:8\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.9\nr0:0.6 r1:0.7 r2:0.4 r3:0.5 V:1\nTY:0.6\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:8\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_covariance(int m,int n,double float_n,double data[100][80],double cov[80][80],double mean[80])\n{\n  int i;\n  int j;\n  int k;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p6}\n  \n#pragma ACCEL TILE FACTOR=auto{_p10}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (j = 0; j < 80; j++) {\n    mean[j] = 0.0;\n    \n#pragma ACCEL PARALLEL reduction=mean FACTOR=auto{_p3}\n    for (i = 0; i < 100; i++) {\n      mean[j] += data[i][j];\n    }\n    mean[j] /= float_n;\n  }\n  \n#pragma ACCEL PIPELINE auto{_p7}\n  \n#pragma ACCEL TILE FACTOR=auto{_p11}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 100; i++) {\n    \n#pragma ACCEL PARALLEL reduction=data FACTOR=auto{_p4}\n    for (j = 0; j < 80; j++) {\n      data[i][j] -= mean[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    for (j = i; j < 80; j++) {\n      cov[i][j] = 0.0;\n      \n#pragma ACCEL PARALLEL reduction=cov FACTOR=auto{_p5}\n      for (k = 0; k < 100; k++) {\n        cov[i][j] += data[k][i] * data[k][j];\n      }\n      cov[i][j] /= float_n - 1.0;\n      cov[j][i] = cov[i][j];\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:4\n_p2:32\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:80\n_p11:1\n_p12:1\nY:4.6\nr0:0.0 r1:0.5 r2:0.2 r3:0.2 V:1\nX:\n_p0:8\n_p1:2\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:2\n_p11:8\n_p12:80\nY:3.6\nr0:0.0 r1:0.5 r2:0.2 r3:0.2 V:1\nX:\n_p0:8\n_p1:2\n_p2:1\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:2\n_p11:1\n_p12:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:5\n_p6:o\n_p7:o\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:32\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:1\n_p2:32\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:100\n_p12:1\nY:4.6\nr0:0.0 r1:0.5 r2:0.2 r3:0.1 V:1\nTY:4.6\nTV:1\n", "outputs":"### outputs: _p0:8\n_p1:1\n_p2:32\n_p3:32\n_p4:8\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[200][240],double ey[200][240],double hz[200][240],double _fict_[100])\n{\n  int t;\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 100; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 240; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 0; j < 240; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (i = 0; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n      for (j = 1; j < 240; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 200 - 1; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 240 - 1; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:239\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:8\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.2 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:5\n_p6:1\n_p7:4\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.4\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:1\n_p6:1\n_p7:32\n_p8:o\n_p9:f\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:2\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:3\n_p6:1\n_p7:16\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:12\n_p6:1\n_p7:2\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:2\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:4\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:16\n_p2:16\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:10\n_p6:1\n_p7:16\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.5 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:2\n_p1:32\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:8\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:32\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:4\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:4\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:32\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:32\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.8\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:1\n_p6:1\n_p7:16\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.5 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:8\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:6\n_p6:1\n_p7:239\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.5\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-0.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:32\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.1\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:4\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.3\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.3\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.6 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:8\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.6 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.4 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:4\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:8\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.5 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:16\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.5 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:239\n_p7:8\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.2\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.5 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:4\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:1\n_p6:1\n_p7:32\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:199\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:2.0\nr0:0.6 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:16\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.8\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:239\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:2.0\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:1\n_p7:8\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.6\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:1\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.6 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.5 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-3.2\nr0:0.5 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:4\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:8\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:10\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:f\n_p9:o\n_p10:o\n_p11:o\n_p12:2\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:16\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:239\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:2.2\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nTY:0.7\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:1\n_p7:2\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[60][80],double ey[60][80],double hz[60][80],double _fict_[40])\n{\n  int t;\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 40; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 60; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 60; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 1; j < 80; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n    for (i = 0; i < 59; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 79; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:2\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.1\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.9\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.6\nr0:0.0 r1:0.4 r2:0.2 r3:0.3 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:2.9\nr0:0.0 r1:0.5 r2:0.2 r3:0.4 V:1\nX:\n_p0:1\n_p1:16\n_p2:4\n_p3:1\n_p4:2\n_p5:1\n_p6:1\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:59\nY:5.3\nr0:0.0 r1:0.9 r2:0.6 r3:0.6 V:0\nX:\n_p0:1\n_p1:4\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.6\nr0:0.0 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:2\n_p3:1\n_p4:2\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.0 r1:0.5 r2:0.3 r3:0.4 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:79\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.5\nr0:0.0 r1:0.6 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:4\n_p3:1\n_p4:2\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.0 r1:0.8 r2:0.5 r3:0.6 V:1\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:16\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:f\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:9.3\nr0:0.0 r1:0.4 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:c\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:32\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:60\n_p15:8\nY:3.1\nr0:0.1 r1:2.4 r2:1.2 r3:2.6 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:40\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:60\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:16\n_p4:1\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:8.5\nr0:0.0 r1:0.4 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.7\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:5\n_p1:16\n_p2:4\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:60\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:4\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:59\n_p14:1\n_p15:59\nY:8.9\nr0:0.0 r1:0.7 r2:0.3 r3:0.6 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:1\nX:\n_p0:1\n_p1:16\n_p2:4\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:60\n_p15:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.1\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:5\n_p1:1\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:2\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.6\nr0:0.0 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.5\nr0:0.0 r1:1.3 r2:0.7 r3:0.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:79\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:2.7\nr0:0.1 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:2\n_p1:1\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:1\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:2.7\nr0:0.1 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:79\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.6\nr0:0.0 r1:0.6 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:79\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.5\nr0:0.0 r1:1.3 r2:0.7 r3:0.9 V:0\nX:\n_p0:8\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:59\n_p14:60\n_p15:59\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.7\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:4\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:2\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:f\n_p9:o\n_p10:o\n_p11:o\n_p12:2\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:12\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:1\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:8.0\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:16\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:4\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.6\nr0:0.0 r1:1.3 r2:0.5 r3:0.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:8\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:32\n_p1:16\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:59\n_p14:60\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.8\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:8\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:c\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:1.4\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:4\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[400],double x2[400],double y_1[400],double y_2[400],double A[400][400])\n{\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 400; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 400; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:10\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:4.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nTY:7.5\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:400\n_p4:f\n_p5:o\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_trmm(double alpha,double A[60][60],double B[60][80])\n{\n//BLAS parameters\n//SIDE   = 'L'\n//UPLO   = 'L'\n//TRANSA = 'T'\n//DIAG   = 'U'\n// => Form  B := alpha*A**T*B.\n// A is MxM\n// B is MxN\n  \n#pragma ACCEL PIPELINE auto{_p3}\n  \n#pragma ACCEL TILE FACTOR=auto{_p5}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (int i = 0; i < 60; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p4}\n    \n#pragma ACCEL TILE FACTOR=auto{_p6}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (int j = 0; j < 80; j++) {\n      \n#pragma ACCEL PARALLEL reduction=B FACTOR=auto{_p2}\n      for (int k = 0; k < 60; k++) {\n        if (k > i) {\n          B[i][j] += A[k][i] * B[k][j];\n        }\n      }\n      B[i][j] = alpha * B[i][j];\n    }\n  }\n}\n ```\nX:\n_p0:12\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:10\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:15\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:8\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:80\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.2\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:2\n_p1:80\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:16\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:5\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:10\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 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r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:3\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:o\n_p4:o\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:80\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:3\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:1.3\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:3\n_p3:o\n_p4:o\n_p5:1\n_p6:80\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_trmm(double alpha,double A[60][60],double B[60][80])\n{\n//BLAS parameters\n//SIDE   = 'L'\n//UPLO   = 'L'\n//TRANSA = 'T'\n//DIAG   = 'U'\n// => Form  B := alpha*A**T*B.\n// A is MxM\n// B is MxN\n  \n#pragma ACCEL PIPELINE auto{_p3}\n  \n#pragma ACCEL TILE FACTOR=auto{_p5}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (int i = 0; i < 60; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p4}\n    \n#pragma ACCEL TILE FACTOR=auto{_p6}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (int j = 0; j < 80; j++) {\n      double sum = B[i][j];\n#pragma ACCEL PARALLEL reduction=sum FACTOR=auto{_p2}\n      for (int k = 0; k < 60; k++) {\n        if (k > i) {\n          sum += A[k][i] * B[k][j];\n        }\n      }\n      B[i][j] = alpha * sum;\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:4\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 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r3:3.7 V:0\nX:\n_p0:1\n_p1:5\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:8.2\nr0:0.0 r1:0.3 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:32\n_p3:o\n_p4:o\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:30\n_p3:c\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:4.4\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:4.9\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:3.9\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:5\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:4.9\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:8.6\nr0:0 r1:1.2 r2:0.7 r3:1.9 V:0\nX:\n_p0:1\n_p1:32\n_p2:32\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:20\n_p3:o\n_p4:c\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:o\n_p4:c\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:8.7\nr0:0.0 r1:0.9 r2:0.6 r3:1.5 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:8.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.4 V:1\nX:\n_p0:32\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:3\n_p1:2\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.3\nr0:0.0 r1:0.4 r2:4.7 r3:0.6 V:0\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:c\n_p5:60\n_p6:1\nY:10.1\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.7\nr0:0.0 r1:0.5 r2:0.3 r3:0.8 V:1\nX:\n_p0:1\n_p1:1\n_p2:30\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:5.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:10\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:8.6\nr0:0 r1:1.2 r2:0.7 r3:1.9 V:0\nX:\n_p0:1\n_p1:2\n_p2:8\n_p3:o\n_p4:c\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:4.3\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.5\nr0:0 r1:0.6 r2:0.3 r3:1.0 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:5.0\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:5.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:8\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:8.7\nr0:0.0 r1:0.5 r2:0.3 r3:0.8 V:1\nX:\n_p0:4\n_p1:5\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:9.8\nr0:0.0 r1:1.0 r2:4.6 r3:1.9 V:0\nX:\n_p0:15\n_p1:1\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:4.2\nr0:0.0 r1:0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:c\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:3\n_p3:o\n_p4:o\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:4.8\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:10\n_p3:o\n_p4:o\n_p5:60\n_p6:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_syr2k(double alpha,double beta,double C[80][80],double A[80][60],double B[80][60])\n{\n  int i;\n  int j;\n  int k;\n//BLAS PARAMS\n//UPLO  = 'L'\n//TRANS = 'N'\n//A is NxM\n//B is NxM\n//C is NxN\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      if (j <= i) {\n        C[i][j] *= beta;\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p5}\n    \n#pragma ACCEL TILE FACTOR=auto{_p7}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (k = 0; k < 60; k++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        if (j <= i) {\n          C[i][j] += A[j][k] * alpha * B[i][k] + B[j][k] * alpha * A[i][k];\n        }\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:2\n_p2:5\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:10\n_p1:1\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:4\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:2\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:30\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:4.3\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:5.7\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 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V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:6.2\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:5\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:4\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:2\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:6\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.2\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:5.9\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:3\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:4\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:5\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:5\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.3\nr0:0.0 r1:0.0 r2:0 r3:0.0 V:1\nX:\n_p0:20\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.9\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nTY:7.6\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:8\n_p2:5\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_trmm(double alpha,double A[60][60],double B[60][80])\n{\n//BLAS parameters\n//SIDE   = 'L'\n//UPLO   = 'L'\n//TRANSA = 'T'\n//DIAG   = 'U'\n// => Form  B := alpha*A**T*B.\n// A is MxM\n// B is MxN\n  \n#pragma ACCEL PIPELINE auto{_p3}\n  \n#pragma ACCEL TILE FACTOR=auto{_p5}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (int i = 0; i < 60; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p4}\n    \n#pragma ACCEL TILE FACTOR=auto{_p6}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (int j = 0; j < 80; j++) {\n      \n#pragma ACCEL PARALLEL reduction=B FACTOR=auto{_p2}\n      for (int k = 0; k < 60; k++) {\n        if (k > i) {\n          B[i][j] += A[k][i] * B[k][j];\n        }\n      }\n      B[i][j] = alpha * B[i][j];\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:3\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:4\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:12\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:5\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:30\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:80\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:5\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:5\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:80\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:4\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:8\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.2\nr0:0.0 r1:0.1 r2:0.0 r3:0 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V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:8\n_p2:4\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:20\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:80\n_p2:3\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:3\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:0\nX:\n_p0:1\n_p1:80\n_p2:4\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:80\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:20\n_p2:16\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:6\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:4\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:12\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nTY:1.3\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:3\n_p3:o\n_p4:o\n_p5:1\n_p6:80\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_trmm(double alpha,double A[60][60],double B[60][80])\n{\n//BLAS parameters\n//SIDE   = 'L'\n//UPLO   = 'L'\n//TRANSA = 'T'\n//DIAG   = 'U'\n// => Form  B := alpha*A**T*B.\n// A is MxM\n// B is MxN\n  \n#pragma ACCEL PIPELINE auto{_p3}\n  \n#pragma ACCEL TILE FACTOR=auto{_p5}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (int i = 0; i < 60; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p4}\n    \n#pragma ACCEL TILE FACTOR=auto{_p6}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (int j = 0; j < 80; j++) {\n      double sum = B[i][j];\n#pragma ACCEL PARALLEL reduction=sum FACTOR=auto{_p2}\n      for (int k = 0; k < 60; k++) {\n        if (k > i) {\n          sum += A[k][i] * B[k][j];\n        }\n      }\n      B[i][j] = alpha * sum;\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.7\nr0:0.0 r1:0.5 r2:0.3 r3:0.8 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V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:o\n_p4:c\n_p5:1\n_p6:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:8\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:12\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:80\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:2\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.7\nr0:0 r1:1.1 r2:3.6 r3:1.9 V:0\nX:\n_p0:1\n_p1:10\n_p2:16\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:12\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:4.4\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:4\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:8.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.4 V:1\nX:\n_p0:2\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.4\nr0:0.0 r1:0.9 r2:2.9 r3:1.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:2.7\nr0:0.0 r1:0 r2:0 r3:0 V:1\nX:\n_p0:10\n_p1:1\n_p2:32\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:16\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.7\nr0:0.0 r1:3.1 r2:14.8 r3:6.0 V:0\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:4.9\nr0:0.1 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:2\n_p1:16\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.5\nr0:0.0 r1:1.7 r2:5.8 r3:3.0 V:0\nX:\n_p0:1\n_p1:10\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:8\nY:8.5\nr0:0 r1:0.6 r2:0.3 r3:1.0 V:0\nX:\n_p0:4\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.6\nr0:0 r1:2.0 r2:9.3 r3:3.7 V:0\nX:\n_p0:1\n_p1:2\n_p2:5\n_p3:o\n_p4:o\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:4.2\nr0:0.0 r1:0 r2:0 r3:0 V:1\nX:\n_p0:3\n_p1:16\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:20\n_p2:30\n_p3:o\n_p4:c\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.5\nr0:0 r1:0.6 r2:0.3 r3:1.0 V:0\nX:\n_p0:15\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:5\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.7\nr0:0.0 r1:1.9 r2:9.4 r3:3.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:4.2\nr0:0.0 r1:0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:2\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.6\nr0:0 r1:1.2 r2:0.7 r3:1.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:30\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:5.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:10\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:8\nY:8.5\nr0:0 r1:0.6 r2:0.3 r3:1.0 V:0\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:3.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:30\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:5.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:8.7\nr0:0.0 r1:0.5 r2:0.3 r3:0.8 V:1\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:4.9\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:20\n_p2:32\n_p3:o\n_p4:o\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:30\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:2\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:4.9\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:8\n_p2:15\n_p3:o\n_p4:o\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:10.1\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:o\n_p4:c\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:10\n_p3:o\n_p4:c\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:o\n_p4:c\n_p5:60\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:30\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.2\nr0:0.0 r1:0.3 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:o\n_p4:c\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:4\nY:8.6\nr0:0 r1:1.2 r2:0.7 r3:1.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.7\nr0:0.0 r1:0.9 r2:0.6 r3:1.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:4.5\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:8.5\nr0:0 r1:0.6 r2:0.3 r3:1.0 V:0\nX:\n_p0:1\n_p1:5\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:8.2\nr0:0.0 r1:0.3 r2:0.2 r3:0.5 V:1\nX:\n_p0:4\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.6\nr0:0.0 r1:1.6 r2:7.4 r3:3.0 V:0\nX:\n_p0:15\n_p1:1\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:60\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:8.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.4 V:1\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:5.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:5.0\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:32\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:8.6\nr0:0 r1:1.2 r2:0.7 r3:1.9 V:0\nX:\n_p0:30\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:20\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.3\nr0:0 r1:2.1 r2:7.3 r3:3.8 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:4\n_p2:16\n_p3:o\n_p4:c\n_p5:60\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:8.2\nr0:0.0 r1:0.3 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:2\n_p2:60\n_p3:o\n_p4:c\n_p5:60\n_p6:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:8.7\nr0:0.0 r1:0.9 r2:0.6 r3:1.5 V:0\nX:\n_p0:1\n_p1:32\n_p2:2\n_p3:o\n_p4:c\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:2.7\nr0:0.0 r1:0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:o\n_p4:c\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:10.1\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:c\n_p5:60\n_p6:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[200][240],double ey[200][240],double hz[200][240],double _fict_[100])\n{\n  int t;\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 100; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 240; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 0; j < 240; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (i = 0; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n      for (j = 1; j < 240; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 200 - 1; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 240 - 1; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-0.0\nr0:0.1 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:8\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.9\nr0:0.6 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:32\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.4\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:8\n_p8:o\n_p9:o\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:2\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:2\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:16\n_p8:o\n_p9:f\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-0.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:239\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:3.4\nr0:0.6 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:4\n_p1:32\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:8\n_p8:o\n_p9:f\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:f\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.8\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:25\n_p1:16\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:32\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.3 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:10\n_p6:1\n_p7:2\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nTY:0.1\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_covariance(int m,int n,double float_n,double data[100][80],double cov[80][80],double mean[80])\n{\n  int i;\n  int j;\n  int k;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p6}\n  \n#pragma ACCEL TILE FACTOR=auto{_p10}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (j = 0; j < 80; j++) {\n    mean[j] = 0.0;\n    \n#pragma ACCEL PARALLEL reduction=mean FACTOR=auto{_p3}\n    for (i = 0; i < 100; i++) {\n      mean[j] += data[i][j];\n    }\n    mean[j] /= float_n;\n  }\n  \n#pragma ACCEL PIPELINE auto{_p7}\n  \n#pragma ACCEL TILE FACTOR=auto{_p11}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 100; i++) {\n    \n#pragma ACCEL PARALLEL reduction=data FACTOR=auto{_p4}\n    for (j = 0; j < 80; j++) {\n      data[i][j] -= mean[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    for (j = i; j < 80; j++) {\n      cov[i][j] = 0.0;\n      \n#pragma ACCEL PARALLEL reduction=cov FACTOR=auto{_p5}\n      for (k = 0; k < 100; k++) {\n        cov[i][j] += data[k][i] * data[k][j];\n      }\n      cov[i][j] /= float_n - 1.0;\n      cov[j][i] = cov[i][j];\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:f\n_p7:o\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:80\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:5\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.2\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:8\n_p1:2\n_p2:10\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:2\n_p11:1\n_p12:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:2\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:8\n_p12:1\nY:3.6\nr0:0.0 r1:1.3 r2:0.5 r3:0.8 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:16\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:100\n_p6:f\n_p7:f\n_p8:o\n_p9:c\n_p10:1\n_p11:2\n_p12:1\nY:3.7\nr0:0.1 r1:0.4 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:100\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:4\n_p12:1\nY:2.9\nr0:0.0 r1:0.3 r2:0.3 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:4\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.0\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:1.5\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:5\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.2\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:8\n_p1:1\n_p2:32\n_p3:32\n_p4:1\n_p5:16\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:4\n_p12:1\nY:2.2\nr0:0.0 r1:0.3 r2:0.3 r3:0.1 V:1\nX:\n_p0:8\n_p1:1\n_p2:32\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:2\n_p11:100\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:4\n_p2:20\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:8\n_p11:1\n_p12:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:2\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:2.4\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:10\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:1.5\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:8\n_p12:1\nY:3.6\nr0:0.0 r1:0.5 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:32\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.7\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:2\n_p5:1\n_p6:o\n_p7:c\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:4\n_p6:o\n_p7:o\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:80\n_p11:100\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:20\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:1\n_p5:100\n_p6:f\n_p7:f\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:10\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.6\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:25\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.9\nr0:0.0 r1:0.5 r2:0.3 r3:0.0 V:1\nX:\n_p0:8\n_p1:2\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:c\n_p9:c\n_p10:2\n_p11:8\n_p12:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:4\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.1\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:8\n_p1:5\n_p2:32\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.6\nr0:0.0 r1:0.5 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:16\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.5\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:25\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:4\n_p12:1\nY:3.3\nr0:0.0 r1:0.3 r2:0.3 r3:0.1 V:1\nX:\n_p0:8\n_p1:4\n_p2:10\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:8\nY:4.3\nr0:0.0 r1:0.3 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:8\n_p1:1\n_p2:10\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:4\n_p11:100\n_p12:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:2\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:4\n_p11:8\n_p12:80\nY:3.6\nr0:0.0 r1:0.6 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:8\n_p6:f\n_p7:o\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:4\n_p2:32\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.6\nr0:0.0 r1:0.5 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:32\n_p6:o\n_p7:o\n_p8:c\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:3.7\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:10\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_2mm(int ni,int nj,int nk,int nl,double alpha,double beta,double tmp[40][50],double A[40][70],double B[70][50],double C[50][80],double D[40][80])\n{\n  int i;\n  int j;\n  int k;\n  \n#pragma ACCEL PIPELINE auto{_p6}\n  \n#pragma ACCEL TILE FACTOR=auto{_p10}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 40; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p8}\n    \n#pragma ACCEL TILE FACTOR=auto{_p12}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (j = 0; j < 50; j++) {\n      tmp[i][j] = 0.0;\n      \n#pragma ACCEL PARALLEL reduction = tmp FACTOR=auto{_p4}\n      for (k = 0; k < 70; ++k) {\n        tmp[i][j] += alpha * A[i][k] * B[k][j];\n      }\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p7}\n  \n#pragma ACCEL TILE FACTOR=auto{_p11}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 40; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (j = 0; j < 80; j++) {\n      D[i][j] *= beta;\n      \n#pragma ACCEL PARALLEL reduction = D FACTOR=auto{_p5}\n      for (k = 0; k < 50; ++k) {\n        D[i][j] += tmp[i][k] * C[k][j];\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:40\n_p11:4\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:4\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.0\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:6.0\nr0:0.0 r1:0.2 r2:0.1 r3:0.3 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:10\n_p4:16\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.9\nr0:0.0 r1:0.4 r2:0.2 r3:0.8 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:32\n_p5:2\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.8\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:16\n_p4:70\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:9.3\nr0:0.0 r1:0.9 r2:0.6 r3:1.3 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:1\n_p5:16\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:8\n_p12:2\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:8\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.7\nr0:0.0 r1:0.2 r2:0.1 r3:0.3 V:1\nX:\n_p0:5\n_p1:10\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.7\nr0:0.0 r1:2.9 r2:1.9 r3:6.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:32\n_p5:5\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.3\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:14\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.3\nr0:0.0 r1:0.0 r2:0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:7\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:5\n_p4:1\n_p5:50\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:10.3\nr0:0.0 r1:2.5 r2:1.6 r3:5.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:2\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.3\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:2\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:10\n_p5:1\n_p6:o\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:2.8 r2:1.9 r3:6.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.2 V:1\nX:\n_p0:1\n_p1:8\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:80\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:5\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:4\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:10\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.9\nr0:0.0 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:40\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:4\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:8\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:1\n_p5:1\n_p6:o\n_p7:f\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:11.3\nr0:0.0 r1:2.9 r2:1.9 r3:6.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:8\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.3\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:16\n_p5:1\n_p6:o\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:2\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:7\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.6\nr0:0.0 r1:2.8 r2:1.9 r3:6.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:8\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:16\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.9\nr0:0.0 r1:0.2 r2:0.1 r3:0.3 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:10\n_p4:1\n_p5:50\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:11.2\nr0:0.0 r1:2.5 r2:1.7 r3:5.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:4\n_p5:1\n_p6:o\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:4\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:10\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:4\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:4\n_p11:8\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.4\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:40\n_p12:1\n_p13:1\nY:3.7\nr0:0.0 r1:2.9 r2:1.9 r3:6.5 V:0\nX:\n_p0:1\n_p1:10\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:4\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:8\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:40\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:2\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:10\n_p4:70\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:9.1\nr0:0.0 r1:0.8 r2:0.6 r3:1.0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:5\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.2\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:4\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:2\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:50\n_p6:o\n_p7:o\n_p8:f\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:10.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:20\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:8\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:4\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:7\n_p5:8\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.4\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.5\nr0:0.0 r1:2.5 r2:1.6 r3:5.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:16\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:5\n_p4:1\n_p5:50\n_p6:f\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:10.3\nr0:0.0 r1:2.5 r2:1.6 r3:5.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:c\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:3.2\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:7\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[60][80],double ey[60][80],double hz[60][80],double _fict_[40])\n{\n  int t;\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 40; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 60; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 60; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 1; j < 80; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n    for (i = 0; i < 59; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 79; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:16\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:32\n_p4:1\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.7\nr0:0.0 r1:0.4 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.5\nr0:0.0 r1:1.3 r2:0.7 r3:0.9 V:0\nX:\n_p0:1\n_p1:16\n_p2:4\n_p3:1\n_p4:2\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:2\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:4\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:59\n_p14:60\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:c\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:8\nY:3.2\nr0:0.0 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:4\n_p3:1\n_p4:2\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:8\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:60\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:16\n_p2:1\n_p3:16\n_p4:4\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:59\n_p14:1\n_p15:59\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:4\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:6.7\nr0:0.0 r1:0.7 r2:0.3 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:16\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.1 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:4\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:79\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.5\nr0:0.0 r1:0.6 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:2\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.0 r1:0.4 r2:0.2 r3:0.3 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:59\n_p14:60\n_p15:1\nY:1.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.5\nr0:0.0 r1:0.6 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:c\n_p10:o\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:10\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:79\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.6\nr0:0.0 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:79\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:8.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:8.1\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.6\nr0:0.0 r1:0.6 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:59\n_p14:60\n_p15:8\nY:3.5\nr0:0.0 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:4\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.6\nr0:0.0 r1:0.8 r2:0.4 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:16\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:8\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.5\nr0:0.0 r1:2.4 r2:1.3 r3:1.8 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.1\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:60\n_p15:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:59\n_p14:60\n_p15:59\nY:8.8\nr0:0.0 r1:0.4 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:59\n_p3:16\n_p4:4\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:60\n_p15:59\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:f\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:9.3\nr0:0.0 r1:0.4 r2:0.2 r3:0.2 V:1\nTY:1.4\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:32\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_trmm(double alpha,double A[60][60],double B[60][80])\n{\n//BLAS parameters\n//SIDE   = 'L'\n//UPLO   = 'L'\n//TRANSA = 'T'\n//DIAG   = 'U'\n// => Form  B := alpha*A**T*B.\n// A is MxM\n// B is MxN\n  \n#pragma ACCEL PIPELINE auto{_p3}\n  \n#pragma ACCEL TILE FACTOR=auto{_p5}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (int i = 0; i < 60; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p4}\n    \n#pragma ACCEL TILE FACTOR=auto{_p6}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (int j = 0; j < 80; j++) {\n      double sum = B[i][j];\n#pragma ACCEL PARALLEL reduction=sum FACTOR=auto{_p2}\n      for (int k = 0; k < 60; k++) {\n        if (k > i) {\n          sum += A[k][i] * B[k][j];\n        }\n      }\n      B[i][j] = alpha * sum;\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:2\n_p2:20\n_p3:c\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:80\nY:10.1\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:2\n_p1:20\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.3\nr0:0 r1:2.1 r2:7.3 r3:3.8 V:0\nX:\n_p0:1\n_p1:4\n_p2:10\n_p3:o\n_p4:c\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.5\nr0:0 r1:0.6 r2:0.3 r3:1.0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:3.9\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:60\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:8.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.4 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:c\n_p4:o\n_p5:1\n_p6:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:4.3\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:o\n_p4:o\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:c\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:6\n_p3:o\n_p4:c\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:3\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.8\nr0:0.0 r1:1.2 r2:5.3 r3:2.3 V:0\nX:\n_p0:1\n_p1:20\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:8.4\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:2\n_p2:60\n_p3:o\n_p4:c\n_p5:60\n_p6:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_trmm(double alpha,double A[60][60],double B[60][80])\n{\n//BLAS parameters\n//SIDE   = 'L'\n//UPLO   = 'L'\n//TRANSA = 'T'\n//DIAG   = 'U'\n// => Form  B := alpha*A**T*B.\n// A is MxM\n// B is MxN\n  \n#pragma ACCEL PIPELINE auto{_p3}\n  \n#pragma ACCEL TILE FACTOR=auto{_p5}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (int i = 0; i < 60; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p4}\n    \n#pragma ACCEL TILE FACTOR=auto{_p6}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (int j = 0; j < 80; j++) {\n      \n#pragma ACCEL PARALLEL reduction=B FACTOR=auto{_p2}\n      for (int k = 0; k < 60; k++) {\n        if (k > i) {\n          B[i][j] += A[k][i] * B[k][j];\n        }\n      }\n      B[i][j] = alpha * B[i][j];\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:8\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:20\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:8\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:5\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:5\n_p2:30\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:32\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:2\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:8\n_p2:20\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:4\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:8\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:30\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:0\nX:\n_p0:1\n_p1:80\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:16\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:10\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:3\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:15\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:6\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:30\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:5\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:8\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:80\n_p2:5\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:10\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:4\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:10\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:1.3\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_trmm(double alpha,double A[60][60],double B[60][80])\n{\n//BLAS parameters\n//SIDE   = 'L'\n//UPLO   = 'L'\n//TRANSA = 'T'\n//DIAG   = 'U'\n// => Form  B := alpha*A**T*B.\n// A is MxM\n// B is MxN\n  \n#pragma ACCEL PIPELINE auto{_p3}\n  \n#pragma ACCEL TILE FACTOR=auto{_p5}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (int i = 0; i < 60; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p4}\n    \n#pragma ACCEL TILE FACTOR=auto{_p6}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (int j = 0; j < 80; j++) {\n      \n#pragma ACCEL PARALLEL reduction=B FACTOR=auto{_p2}\n      for (int k = 0; k < 60; k++) {\n        if (k > i) {\n          B[i][j] += A[k][i] * B[k][j];\n        }\n      }\n      B[i][j] = alpha * B[i][j];\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:8\n_p2:10\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nTY:1.3\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:5\n_p3:o\n_p4:o\n_p5:1\n_p6:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_2mm(int ni,int nj,int nk,int nl,double alpha,double beta,double tmp[40][50],double A[40][70],double B[70][50],double C[50][80],double D[40][80])\n{\n  int i;\n  int j;\n  int k;\n  \n#pragma ACCEL PIPELINE auto{_p6}\n  \n#pragma ACCEL TILE FACTOR=auto{_p10}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 40; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p8}\n    \n#pragma ACCEL TILE FACTOR=auto{_p12}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (j = 0; j < 50; j++) {\n      tmp[i][j] = 0.0;\n      \n#pragma ACCEL PARALLEL reduction = tmp FACTOR=auto{_p4}\n      for (k = 0; k < 70; ++k) {\n        tmp[i][j] += alpha * A[i][k] * B[k][j];\n      }\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p7}\n  \n#pragma ACCEL TILE FACTOR=auto{_p11}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 40; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (j = 0; j < 80; j++) {\n      D[i][j] *= beta;\n      \n#pragma ACCEL PARALLEL reduction = D FACTOR=auto{_p5}\n      for (k = 0; k < 50; ++k) {\n        D[i][j] += tmp[i][k] * C[k][j];\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:1\n_p5:5\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.9\nr0:0.0 r1:2.4 r2:1.6 r3:5.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:c\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:10\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.9\nr0:0.0 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:32\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.6\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:2\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:3.5\nr0:0.0 r1:2.5 r2:1.6 r3:5.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:32\n_p5:32\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:8\n_p12:8\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:10\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:8\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:2\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.1\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:32\n_p5:4\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.1\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:32\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:2\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:5\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:8\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:40\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:8.5\nr0:0.0 r1:2.5 r2:1.7 r3:5.8 V:0\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:5\n_p4:70\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:8.8\nr0:0.0 r1:0.8 r2:0.5 r3:0.7 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:8\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.8\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nTY:5.8\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:10\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:4\n_p12:1\n_p13:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_trmm(double alpha,double A[60][60],double B[60][80])\n{\n//BLAS parameters\n//SIDE   = 'L'\n//UPLO   = 'L'\n//TRANSA = 'T'\n//DIAG   = 'U'\n// => Form  B := alpha*A**T*B.\n// A is MxM\n// B is MxN\n  \n#pragma ACCEL PIPELINE auto{_p3}\n  \n#pragma ACCEL TILE FACTOR=auto{_p5}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (int i = 0; i < 60; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p4}\n    \n#pragma ACCEL TILE FACTOR=auto{_p6}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (int j = 0; j < 80; j++) {\n      \n#pragma ACCEL PARALLEL reduction=B FACTOR=auto{_p2}\n      for (int k = 0; k < 60; k++) {\n        if (k > i) {\n          B[i][j] += A[k][i] * B[k][j];\n        }\n      }\n      B[i][j] = alpha * B[i][j];\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:5\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:8\n_p2:30\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:5\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:8\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.2\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.2\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:4\n_p2:32\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.2\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.2\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:4\n_p2:32\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:10\n_p2:10\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:4\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:2\n_p1:32\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:2\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:4\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:12\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:2\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:2\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:10\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.2\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:2\n_p1:2\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:1.3\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:80\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_2mm(int ni,int nj,int nk,int nl,double alpha,double beta,double tmp[40][50],double A[40][70],double B[70][50],double C[50][80],double D[40][80])\n{\n  int i;\n  int j;\n  int k;\n  \n#pragma ACCEL PIPELINE auto{_p6}\n  \n#pragma ACCEL TILE FACTOR=auto{_p10}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 40; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p8}\n    \n#pragma ACCEL TILE FACTOR=auto{_p12}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (j = 0; j < 50; j++) {\n      tmp[i][j] = 0.0;\n      \n#pragma ACCEL PARALLEL reduction = tmp FACTOR=auto{_p4}\n      for (k = 0; k < 70; ++k) {\n        tmp[i][j] += alpha * A[i][k] * B[k][j];\n      }\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p7}\n  \n#pragma ACCEL TILE FACTOR=auto{_p11}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 40; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (j = 0; j < 80; j++) {\n      D[i][j] *= beta;\n      \n#pragma ACCEL PARALLEL reduction = D FACTOR=auto{_p5}\n      for (k = 0; k < 50; ++k) {\n        D[i][j] += tmp[i][k] * C[k][j];\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:4\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.9\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:20\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:6.0\nr0:0.0 r1:1.8 r2:0.7 r3:1.6 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:14\n_p5:4\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.3\nr0:0.0 r1:0.0 r2:0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:5\n_p4:70\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:10.3\nr0:0.0 r1:2.5 r2:1.6 r3:5.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:20\n_p4:16\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.9\nr0:0.0 r1:1.8 r2:0.7 r3:1.6 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:8\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:40\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.4 r2:0.2 r3:0.7 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:7\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.6\nr0:0.0 r1:2.8 r2:1.9 r3:6.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:14\n_p5:25\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.0\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:16\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.9\nr0:0.0 r1:0.2 r2:0.1 r3:0.3 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V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:70\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:9.0\nr0:0.0 r1:0.7 r2:0.4 r3:0.4 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:50\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.7\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:16\n_p4:70\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:9.3\nr0:0.0 r1:0.9 r2:0.6 r3:1.3 V:0\nX:\n_p0:1\n_p1:20\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:2\n_p11:2\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:10.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:32\n_p5:10\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.5\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:4\n_p11:1\n_p12:1\n_p13:1\nY:3.5\nr0:0.0 r1:1.4 r2:1.3 r3:4.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.4 r2:0.2 r3:0.7 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:14\n_p5:10\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.8\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:40\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:8.5\nr0:0.0 r1:2.5 r2:1.7 r3:5.8 V:0\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:4\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:5\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.5\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:4\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:4\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:2\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:8\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.3\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:5\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:4\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:5.4\nTV:0\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:1\n_p5:16\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_syr2k(double alpha,double beta,double C[80][80],double A[80][60],double B[80][60])\n{\n  int i;\n  int j;\n  int k;\n//BLAS PARAMS\n//UPLO  = 'L'\n//TRANS = 'N'\n//A is NxM\n//B is NxM\n//C is NxN\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      if (j <= i) {\n        C[i][j] *= beta;\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p5}\n    \n#pragma ACCEL TILE FACTOR=auto{_p7}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (k = 0; k < 60; k++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        if (j <= i) {\n          C[i][j] += A[j][k] * alpha * B[i][k] + B[j][k] * alpha * A[i][k];\n        }\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:2.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:5.7\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:6.2\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:16\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:5\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:1\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:2\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:4\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:4\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:6.5\nr0:0.0 r1:0.3 r2:0.5 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:5.4\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:2\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:4\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:5\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:4.3\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:2.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:4\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:2\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:3\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.1 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:30\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:5\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:5.1\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:5.9\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:3\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:2\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:32\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:60\nY:7.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:5.7\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:2\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:8\nY:6.2\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.4\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:10\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.7\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:6\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:5\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:6\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:4\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:6.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.3\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:3\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:6.4\nr0:0.0 r1:0.3 r2:0.2 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:2.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:8\n_p2:3\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:5\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.5\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:8\nY:6.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:6\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:80\n_p1:1\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.4\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.9\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:3\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:10\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:5\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.2\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:30\n_p3:2\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:6\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:5.1\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:4\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:6.0\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:10\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.0\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:8\nY:6.2\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:8\nY:5.7\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:2\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.2\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:3\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:7.7\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:8\n_p2:2\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_syr2k(double alpha,double beta,double C[80][80],double A[80][60],double B[80][60])\n{\n  int i;\n  int j;\n  int k;\n//BLAS PARAMS\n//UPLO  = 'L'\n//TRANS = 'N'\n//A is NxM\n//B is NxM\n//C is NxN\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      if (j <= i) {\n        C[i][j] *= beta;\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p5}\n    \n#pragma ACCEL TILE FACTOR=auto{_p7}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (k = 0; k < 60; k++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        if (j <= i) {\n          C[i][j] += A[j][k] * alpha * B[i][k] + B[j][k] * alpha * A[i][k];\n        }\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:5.4\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:8\nY:6.2\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:4\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:8\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:2\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:5\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:3.7\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:16\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:1\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:3\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.8\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:6\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:10\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:3\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.1 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:32\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:60\nY:7.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:2\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.4\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.2\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.2\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:30\n_p3:1\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:6.0\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:3\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:6.4\nr0:0.0 r1:0.3 r2:0.2 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.4\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:4.3\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nTY:5.9\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[120], double x2[120], double y_1[120], double y_2[120], double A[120][120])\n{\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 120; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 120; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:12\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:120\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:9.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.4 V:1\nX:\n_p0:8\n_p1:24\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:32\n_p3:1\n_p4:c\n_p5:f\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:5\n_p2:32\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:7.6\nr0:0.1 r1:0.5 r2:0.3 r3:1.0 V:0\nX:\n_p0:1\n_p1:4\n_p2:3\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.4 r2:0.2 r3:0.8 V:1\nX:\n_p0:8\n_p1:2\n_p2:32\n_p3:1\n_p4:c\n_p5:f\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:12\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:3\n_p2:24\n_p3:1\n_p4:c\n_p5:f\n_p6:120\n_p7:8\nY:8.1\nr0:0.0 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:8\n_p1:8\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.6\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:4\n_p1:2\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:3\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:9.7\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:4\n_p1:24\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:2\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:1\n_p2:12\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:9.0\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:12\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:2\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:20\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:2\nY:9.2\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:20\n_p1:16\n_p2:24\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:10.7\nr0:0.0 r1:2.0 r2:1.3 r3:3.3 V:0\nX:\n_p0:1\n_p1:5\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:120\n_p7:4\nY:7.3\nr0:0.0 r1:0.0 r2:0.0 r3:0.1 V:1\nX:\n_p0:8\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:9.6\nr0:0.0 r1:0.8 r2:0.5 r3:1.6 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:16\n_p4:c\n_p5:o\n_p6:1\n_p7:1\nY:7.1\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:4\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:10.2\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:8\n_p1:8\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:120\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:10.3\nr0:0.1 r1:1.9 r2:1.1 r3:3.8 V:0\nX:\n_p0:4\n_p1:2\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:10\n_p4:c\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:5\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:8\n_p7:1\nY:8.4\nr0:0.0 r1:0.7 r2:0.4 r3:1.4 V:0\nX:\n_p0:1\n_p1:24\n_p2:1\n_p3:20\n_p4:f\n_p5:c\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:120\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:3\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:2\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:120\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:8\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:9.7\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:6.4\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:2\n_p1:1\n_p2:8\n_p3:15\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:1\n_p2:10\n_p3:12\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.4\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:8\n_p7:1\nY:9.5\nr0:0.0 r1:0.6 r2:0.3 r3:1.0 V:0\nX:\n_p0:8\n_p1:6\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:4\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:12\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.1\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:8\n_p1:3\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:5\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:8.4\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:2\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:8\n_p7:8\nY:10.0\nr0:0.0 r1:0.3 r2:0.2 r3:0.4 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:2\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.3\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:4\n_p1:4\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.7\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:10\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:9.3\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:8\n_p1:2\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:3\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:15\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:8.1\nr0:0.0 r1:0.2 r2:0.1 r3:0.4 V:1\nX:\n_p0:1\n_p1:12\n_p2:1\n_p3:20\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:10.3\nr0:0.1 r1:0.3 r2:0.2 r3:0.3 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.0\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:8\n_p1:24\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:4\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.9\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nTY:8.0\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:6\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_syr2k(double alpha,double beta,double C[80][80],double A[80][60],double B[80][60])\n{\n  int i;\n  int j;\n  int k;\n//BLAS PARAMS\n//UPLO  = 'L'\n//TRANS = 'N'\n//A is NxM\n//B is NxM\n//C is NxN\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      if (j <= i) {\n        C[i][j] *= beta;\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p5}\n    \n#pragma ACCEL TILE FACTOR=auto{_p7}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (k = 0; k < 60; k++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        if (j <= i) {\n          C[i][j] += A[j][k] * alpha * B[i][k] + B[j][k] * alpha * A[i][k];\n        }\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:5\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:60\nY:7.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:2\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:6\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:6\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:10\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:3\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:6\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:10\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:3\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:16\n_p4:c\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:4\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:8\nY:5.7\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:5\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:4\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:5\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:6\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:3\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.0\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:4\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:5\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:2\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:10\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.7\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:5\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.7\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:80\n_p1:1\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.4\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:2\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:3\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:2\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:4\n_p2:6\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:4\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.9\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:8\n_p2:2\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:4\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:4\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.1 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:6.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.2\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.4\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:5\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 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V:1\nX:\n_p0:1\n_p1:8\n_p2:3\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:5\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:3\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.2\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:4\n_p2:2\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:5\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:7.7\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:2\n_p2:4\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[400],double x2[400],double y_1[400],double y_2[400],double A[400][400])\n{\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 400; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 400; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n}\n ```\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:8\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:4\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.8\nr0:0.3 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:4\n_p1:16\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:6.7\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:20\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:6.3\nr0:0.9 r1:1.2 r2:0.7 r3:2.6 V:0\nX:\n_p0:25\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:2\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:5\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:2\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:4\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:7.8\nr0:0.3 r1:1.7 r2:1.0 r3:2.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:25\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:5.8\nr0:0.2 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:25\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.0\nr0:0.3 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:10\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:8\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:16\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:8\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:4\n_p7:1\nY:5.9\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:3.6\nr0:0.1 r1:1.5 r2:0.8 r3:2.6 V:0\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:2\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:2\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:6.6\nr0:0.3 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:8\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.2 r1:0.3 r2:0.2 r3:0.7 V:1\nX:\n_p0:25\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:2\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:4\n_p7:1\nY:6.4\nr0:0.4 r1:0.2 r2:0.2 r3:0.5 V:1\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:2\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:4.5\nr0:0.3 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:400\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:6.4\nr0:0.2 r1:0.3 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:1\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:2.9\nr0:0.1 r1:0.0 r2:0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:20\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.4 r1:0.3 r2:0.2 r3:0.7 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:25\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:7.4\nr0:0.4 r1:0.3 r2:0.2 r3:0.7 V:1\nX:\n_p0:16\n_p1:4\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:2\n_p7:1\nY:6.7\nr0:0.1 r1:1.5 r2:0.8 r3:2.6 V:0\nX:\n_p0:16\n_p1:16\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:2\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:5\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:4\n_p7:1\nY:5.6\nr0:0.2 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:3.6\nr0:0.1 r1:0.6 r2:0.3 r3:0.6 V:1\nX:\n_p0:32\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.0\nr0:0.3 r1:0.4 r2:0.2 r3:0.3 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:5\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.0\nr0:0.3 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:3.5\nr0:0.3 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:5.0\nr0:1.1 r1:1.5 r2:1.0 r3:3.2 V:0\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:8\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:8\n_p7:1\nY:7.1\nr0:0.3 r1:0.9 r2:0.6 r3:1.2 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:8\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:400\nY:5.9\nr0:0.3 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.0\nr0:0.3 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:400\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.9\nr0:0.2 r1:0.6 r2:0.3 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:4.8\nr0:0.2 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:16\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:1\nY:6.8\nr0:0.3 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:25\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:1\nY:6.3\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:8\n_p7:1\nY:5.8\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:25\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:8.7\nr0:0.2 r1:0.4 r2:0.3 r3:0.7 V:1\nX:\n_p0:4\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:4\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:5.1\nr0:0.1 r1:1.5 r2:0.8 r3:2.6 V:0\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:1\nY:1.1\nr0:0.4 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:5\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:8\n_p7:1\nY:6.0\nr0:0.2 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:5\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:1\n_p7:400\nY:7.0\nr0:0.3 r1:0.1 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:16\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:400\n_p7:1\nY:5.9\nr0:0.4 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:32\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:6.0\nr0:0.1 r1:0.6 r2:0.3 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:4\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:3.9\nr0:0.3 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:2\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:4.2\nr0:0.2 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:16\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:7.2\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:2\n_p2:5\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:4.3\nr0:0.4 r1:0.6 r2:0.4 r3:1.3 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:400\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:7.9\nr0:0.2 r1:1.6 r2:0.9 r3:2.6 V:0\nTY:7.9\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:400\n_p7:400\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[200][240],double ey[200][240],double hz[200][240],double _fict_[100])\n{\n  int t;\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 100; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 240; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 0; j < 240; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (i = 0; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n      for (j = 1; j < 240; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 200 - 1; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 240 - 1; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-3.2\nr0:0.5 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.4\nr0:0.2 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:239\n_p8:o\n_p9:f\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.4 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.6 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.5 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:2\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.9\nr0:0.5 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:2\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:2.1\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:20\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:199\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:32\n_p8:o\n_p9:o\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:1\n_p7:8\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.6\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:2\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-3.2\nr0:0.9 r1:0.9 r2:0.6 r3:1.0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:10\n_p6:1\n_p7:2\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:32\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.6 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:2\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.8\nr0:0.5 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:10\n_p6:1\n_p7:239\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.6 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:8\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:8\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.5 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:1\n_p7:8\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:1\n_p7:16\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:2.0\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:1\n_p6:1\n_p7:239\n_p8:o\n_p9:f\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.3\nr0:0.8 r1:1.8 r2:1.4 r3:1.4 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-0.3\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:1\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.6 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.5 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.5 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:32\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.6\nr0:0.5 r1:0.5 r2:0.3 r3:0.5 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V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:2\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.2\nr0:0.5 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:32\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.6 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:20\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:f\n_p9:o\n_p10:o\n_p11:o\n_p12:2\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.5 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:10\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:32\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:8\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.7\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:239\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:2.0\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nTY:0.6\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:4\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_2mm(int ni,int nj,int nk,int nl,double alpha,double beta,double tmp[40][50],double A[40][70],double B[70][50],double C[50][80],double D[40][80])\n{\n  int i;\n  int j;\n  int k;\n  \n#pragma ACCEL PIPELINE auto{_p6}\n  \n#pragma ACCEL TILE FACTOR=auto{_p10}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 40; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p8}\n    \n#pragma ACCEL TILE FACTOR=auto{_p12}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (j = 0; j < 50; j++) {\n      tmp[i][j] = 0.0;\n      \n#pragma ACCEL PARALLEL reduction = tmp FACTOR=auto{_p4}\n      for (k = 0; k < 70; ++k) {\n        tmp[i][j] += alpha * A[i][k] * B[k][j];\n      }\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p7}\n  \n#pragma ACCEL TILE FACTOR=auto{_p11}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 40; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (j = 0; j < 80; j++) {\n      D[i][j] *= beta;\n      \n#pragma ACCEL PARALLEL reduction = D FACTOR=auto{_p5}\n      for (k = 0; k < 50; ++k) {\n        D[i][j] += tmp[i][k] * C[k][j];\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:16\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.2\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:32\n_p4:70\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:70\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:9.0\nr0:0.0 r1:0.7 r2:0.4 r3:0.4 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:7\n_p5:2\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.9\nr0:0.0 r1:0.0 r2:0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:5\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.0\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:4\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:80\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:8\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:10\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.7\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:8\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.5\nr0:0.0 r1:2.8 r2:1.9 r3:6.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.2\nr0:0.0 r1:0.0 r2:0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:32\n_p5:50\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.0\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:10.6\nr0:0.0 r1:2.5 r2:1.6 r3:5.7 V:0\nX:\n_p0:20\n_p1:1\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:10\n_p4:1\n_p5:50\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:11.2\nr0:0.0 r1:2.5 r2:1.7 r3:5.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:16\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.9\nr0:0.0 r1:0.1 r2:0.1 r3:0.2 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r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:6.0\nr0:0.0 r1:0.2 r2:0.1 r3:0.3 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:5\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.3\nr0:0.0 r1:2.8 r2:1.9 r3:6.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:8\n_p11:1\n_p12:1\n_p13:1\nY:3.5\nr0:0.0 r1:1.4 r2:1.2 r3:4.8 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.1\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:20\n_p1:8\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:2\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.7\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:8\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.7\nr0:0.0 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:40\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:16\n_p4:16\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:40\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:2\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:7\n_p5:5\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.4\nr0:0.0 r1:0.0 r2:0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:50\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.0\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:c\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:o\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:16\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.3\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:4\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.2 r2:0.1 r3:0.4 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:2\nY:5.7\nr0:0.0 r1:0.4 r2:0.2 r3:0.7 V:1\nX:\n_p0:1\n_p1:5\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:2\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:8\n_p12:1\n_p13:1\nY:5.7\nr0:0.0 r1:0.4 r2:0.2 r3:0.7 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:7\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.7\nr0:0.0 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:c\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:40\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:3.8\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:2\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_covariance(int m,int n,double float_n,double data[100][80],double cov[80][80],double mean[80])\n{\n  int i;\n  int j;\n  int k;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p6}\n  \n#pragma ACCEL TILE FACTOR=auto{_p10}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (j = 0; j < 80; j++) {\n    mean[j] = 0.0;\n    \n#pragma ACCEL PARALLEL reduction=mean FACTOR=auto{_p3}\n    for (i = 0; i < 100; i++) {\n      mean[j] += data[i][j];\n    }\n    mean[j] /= float_n;\n  }\n  \n#pragma ACCEL PIPELINE auto{_p7}\n  \n#pragma ACCEL TILE FACTOR=auto{_p11}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 100; i++) {\n    \n#pragma ACCEL PARALLEL reduction=data FACTOR=auto{_p4}\n    for (j = 0; j < 80; j++) {\n      data[i][j] -= mean[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    for (j = i; j < 80; j++) {\n      cov[i][j] = 0.0;\n      \n#pragma ACCEL PARALLEL reduction=cov FACTOR=auto{_p5}\n      for (k = 0; k < 100; k++) {\n        cov[i][j] += data[k][i] * data[k][j];\n      }\n      cov[i][j] /= float_n - 1.0;\n      cov[j][i] = cov[i][j];\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:1\n_p5:8\n_p6:f\n_p7:f\n_p8:c\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:8\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:2\n_p2:32\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:8\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:2\n_p12:1\nY:2.3\nr0:0.0 r1:0.3 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:25\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:8\n_p12:1\nY:1.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:32\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\nY:8.1\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:c\n_p9:f\n_p10:1\n_p11:2\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:4\n_p2:32\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.6\nr0:0.0 r1:0.7 r2:0.3 r3:0.3 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:2\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:2.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:100\n_p6:f\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:5.2\nr0:0.1 r1:0.3 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:2\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:2.3\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:20\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.8\nr0:0.0 r1:0.4 r2:0.2 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:10\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:4\n_p12:1\nY:3.4\nr0:0.1 r1:0.3 r2:0.3 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:8\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:32\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.7\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:10\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:1\nX:\n_p0:1\n_p1:2\n_p2:80\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:8\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:1\n_p3:32\n_p4:1\n_p5:1\n_p6:o\n_p7:f\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\nY:7.8\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:8\n_p1:2\n_p2:32\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:8\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\nY:8.0\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:25\n_p6:o\n_p7:f\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:8\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.3\nr0:0.0 r1:0.0 r2:0.0 r3:0 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V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:o\n_p9:f\n_p10:1\n_p11:4\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:20\n_p5:1\n_p6:o\n_p7:c\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:10\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:2\n_p12:1\nY:3.7\nr0:0.1 r1:0.3 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:f\n_p7:o\n_p8:c\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:10\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:2\n_p2:1\n_p3:32\n_p4:1\n_p5:16\n_p6:c\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.8\nr0:0.0 r1:0.4 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:10\n_p6:o\n_p7:o\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:3.3\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:8\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[200][240],double ey[200][240],double hz[200][240],double _fict_[100])\n{\n  int t;\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 100; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 240; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 0; j < 240; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (i = 0; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n      for (j = 1; j < 240; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 200 - 1; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 240 - 1; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:4\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:199\n_p3:8\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:239\n_p8:o\n_p9:f\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.2\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:5\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:10\n_p6:1\n_p7:16\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:2.1\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:c\n_p10:f\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:32\n_p6:32\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.4\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:16\n_p2:199\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:16\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:1\n_p7:8\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.2\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:12\n_p6:1\n_p7:8\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.6\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.1\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.5 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:32\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:16\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.3\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.6 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:32\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.6\nr0:0.5 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:3\n_p6:1\n_p7:239\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:16\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:2\n_p8:o\n_p9:f\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:8\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.2 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:32\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:2\n_p8:o\n_p9:f\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:239\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.6\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.4\nr0:0.5 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:2\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.2\nr0:0.5 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.5 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:f\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:6.8\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.6 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:16\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:2\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.9\nr0:0.5 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:4\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:f\n_p9:o\n_p10:o\n_p11:o\n_p12:4\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:1\n_p7:4\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:2\n_p8:o\n_p9:o\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:4\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:1\n_p7:4\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.6\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:4\n_p1:1\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.6 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:f\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.5\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:3\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:2.6\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:5\n_p6:1\n_p7:2\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.2\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:8\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:10\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.1\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.5 r1:0.9 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:239\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.2\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:20\n_p1:16\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:2\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.3\nr0:0.7 r1:1.0 r2:0.9 r3:1.0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.2\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:5\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:3\n_p6:1\n_p7:4\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:1\n_p7:2\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:32\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:2.0\nr0:0.6 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:10\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:199\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:239\n_p8:o\n_p9:o\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.5 r1:0.9 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.9\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:2\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.6 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-0.2\nr0:0.2 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-0.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-3.3\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:199\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-0.4\nr0:0.3 r1:0.1 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:8\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:1\n_p7:32\n_p8:o\n_p9:f\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:1\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:16\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:2\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:6\n_p6:1\n_p7:239\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.5\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:16\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.6 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:199\n_p3:5\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:4\n_p8:o\n_p9:o\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.4 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:f\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.3\nr0:0.8 r1:1.8 r2:1.4 r3:1.4 V:0\nX:\n_p0:10\n_p1:16\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-3.3\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nTY:0.6\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:4\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[400],double x2[400],double y_1[400],double y_2[400],double A[400][400])\n{\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 400; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 400; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n}\n ```\nX:\n_p0:4\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:1\n_p7:400\nY:6.7\nr0:0.5 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:16\n_p1:1\n_p2:16\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.9\nr0:0.3 r1:0.6 r2:0.3 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:2\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:16\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.2 r1:0.4 r2:0.3 r3:0.7 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:20\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:6.2\nr0:0.9 r1:0.7 r2:0.4 r3:1.3 V:0\nX:\n_p0:16\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:400\nY:6.3\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:16\n_p1:1\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:2\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:32\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:10\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:5\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:4.3\nr0:1.0 r1:1.5 r2:0.9 r3:3.2 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:1\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:3.5\nr0:0.3 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:2\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:4.6\nr0:0.3 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:3.4\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:16\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:1\nY:7.0\nr0:0.3 r1:0.1 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:6.6\nr0:0.2 r1:0.6 r2:0.3 r3:0.6 V:1\nX:\n_p0:20\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:1\nY:6.4\nr0:0.4 r1:0.2 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:8\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:25\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:2\n_p7:400\nY:6.3\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:16\n_p1:16\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:2\n_p7:1\nY:5.9\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:400\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:10\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.1\nr0:0.4 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:8\n_p1:16\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:1\nY:5.6\nr0:0.3 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:3.0\nr0:0.2 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:2\n_p2:16\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:6.5\nr0:0.2 r1:0.9 r2:0.5 r3:1.3 V:0\nX:\n_p0:25\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:1\nY:6.3\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:32\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:4\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:10\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.6\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:4\n_p1:1\n_p2:16\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.3\nr0:0.0 r1:0.6 r2:0.3 r3:0.6 V:1\nX:\n_p0:5\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:4\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:8\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:6.1\nr0:0.1 r1:1.5 r2:0.8 r3:2.6 V:0\nX:\n_p0:20\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:2\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.0\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:8\n_p1:16\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:25\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:8\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:25\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:2\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:5.6\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:10\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:4.1\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:7.2\nr0:1.0 r1:1.2 r2:0.7 r3:2.6 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:25\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.2\nr0:0.2 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:4\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:4.9\nr0:0.1 r1:0.9 r2:0.5 r3:1.3 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r3:2.6 V:0\nX:\n_p0:20\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:25\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.4\nr0:0.3 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:8\n_p7:1\nY:6.8\nr0:0.5 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:8\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:6.1\nr0:0.1 r1:0.9 r2:0.5 r3:1.3 V:0\nX:\n_p0:32\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:400\nY:7.1\nr0:0.3 r1:0.4 r2:0.2 r3:0.3 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:5\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:6.3\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:4\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.8\nr0:0.3 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:3.5\nr0:0.2 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:400\n_p7:8\nY:7.4\nr0:0.2 r1:0.6 r2:0.4 r3:0.7 V:1\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:4\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:6.1\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:32\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:10\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:3.4\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:16\n_p1:1\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:2\n_p7:400\nY:6.7\nr0:0.1 r1:0.6 r2:0.3 r3:0.7 V:1\nX:\n_p0:25\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:1\n_p7:400\nY:7.1\nr0:0.3 r1:0.4 r2:0.3 r3:0.2 V:1\nX:\n_p0:1\n_p1:2\n_p2:10\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:5.3\nr0:0.5 r1:0.6 r2:0.4 r3:1.3 V:0\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:2\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:8\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:25\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:5.0\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:400\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:10\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:8\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:2\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:3.5\nr0:0.2 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:5\n_p2:8\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:4.5\nr0:1.0 r1:1.5 r2:0.9 r3:3.2 V:0\nX:\n_p0:8\n_p1:16\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:4\n_p7:1\nY:5.9\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:32\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:2\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:3.9\nr0:0.2 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:4.3\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:5\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:4.8\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:16\n_p1:25\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:2\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:10\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:2\n_p7:400\nY:6.1\nr0:0.4 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:25\n_p3:1\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:400\nY:6.2\nr0:0.4 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:2\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.1\nr0:0.2 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:3.5\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:8\n_p1:1\n_p2:16\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.9\nr0:0.0 r1:0.6 r2:0.3 r3:0.6 V:1\nX:\n_p0:20\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:4\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:400\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:4\nY:7.6\nr0:0.2 r1:0.6 r2:0.4 r3:0.7 V:1\nX:\n_p0:10\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:2\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:1\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:3.9\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:5\n_p3:5\n_p4:o\n_p5:c\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_trmm(double alpha,double A[60][60],double B[60][80])\n{\n//BLAS parameters\n//SIDE   = 'L'\n//UPLO   = 'L'\n//TRANSA = 'T'\n//DIAG   = 'U'\n// => Form  B := alpha*A**T*B.\n// A is MxM\n// B is MxN\n  \n#pragma ACCEL PIPELINE auto{_p3}\n  \n#pragma ACCEL TILE FACTOR=auto{_p5}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (int i = 0; i < 60; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p4}\n    \n#pragma ACCEL TILE FACTOR=auto{_p6}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (int j = 0; j < 80; j++) {\n      double sum = B[i][j];\n#pragma ACCEL PARALLEL reduction=sum FACTOR=auto{_p2}\n      for (int k = 0; k < 60; k++) {\n        if (k > i) {\n          sum += A[k][i] * B[k][j];\n        }\n      }\n      B[i][j] = alpha * sum;\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:2\n_p2:15\n_p3:o\n_p4:o\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:15\n_p3:o\n_p4:c\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:4.0\nr0:0.0 r1:0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:4\n_p2:15\n_p3:o\n_p4:o\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:2\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.5\nr0:0.0 r1:0.5 r2:6.7 r3:0.7 V:0\nX:\n_p0:2\n_p1:20\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.3\nr0:0 r1:2.1 r2:7.3 r3:3.8 V:0\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:10.1\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:4\n_p1:4\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.2\nr0:0.0 r1:0.9 r2:7.0 r3:1.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:o\n_p4:c\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:2.7\nr0:0.0 r1:0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:2\n_p2:60\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:32\n_p2:30\n_p3:o\n_p4:o\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:3\n_p1:16\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:3.9\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:3\n_p1:4\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.6\nr0:0.0 r1:0.7 r2:5.0 r3:1.1 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:4.4\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:5\n_p2:16\n_p3:o\n_p4:c\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:80\nY:10.1\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:4.4\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:20\n_p2:12\n_p3:o\n_p4:c\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:8.6\nr0:0 r1:1.2 r2:0.7 r3:1.9 V:0\nTY:5.1\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:30\n_p3:o\n_p4:o\n_p5:60\n_p6:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[400],double x2[400],double y_1[400],double y_2[400],double A[400][400])\n{\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 400; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 400; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n}\n ```\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:8\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:6.0\nr0:0.1 r1:2.6 r2:1.5 r3:5.1 V:0\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:2\n_p7:1\nY:5.9\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:3.6\nr0:0.1 r1:0.6 r2:0.3 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:1\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:3.5\nr0:0.2 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:16\n_p1:4\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:2\n_p7:1\nY:6.7\nr0:0.1 r1:1.5 r2:0.8 r3:2.6 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:400\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:10\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:2\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:4\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:6.8\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:400\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:0\nX:\n_p0:32\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:25\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:8.6\nr0:0.2 r1:0.4 r2:0.3 r3:0.7 V:1\nX:\n_p0:2\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:7.2\nr0:0.6 r1:0.6 r2:0.4 r3:1.3 V:0\nX:\n_p0:16\n_p1:5\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:2\n_p7:1\nY:4.9\nr0:1.0 r1:1.5 r2:0.9 r3:3.2 V:0\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:2\n_p7:1\nY:5.6\nr0:0.3 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:5\n_p2:5\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:4.3\nr0:1.0 r1:1.5 r2:0.9 r3:3.2 V:0\nTY:7.5\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:4\n_p2:1\n_p3:16\n_p4:f\n_p5:c\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[200][240],double ey[200][240],double hz[200][240],double _fict_[100])\n{\n  int t;\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 100; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 240; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 0; j < 240; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (i = 0; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n      for (j = 1; j < 240; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 200 - 1; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 240 - 1; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-0.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:239\n_p8:o\n_p9:f\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.5\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:5\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:5\n_p6:1\n_p7:239\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.3\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.5 r1:0.6 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:2\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.6 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:8\n_p8:o\n_p9:f\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-0.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:239\n_p8:o\n_p9:f\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:2\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.9\nr0:0.5 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.3\nr0:0.1 r1:0.1 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:16\n_p8:o\n_p9:f\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:32\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.2\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:10\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.1\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:1\n_p8:o\n_p9:f\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.5 r1:0.6 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:16\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-0.5\nr0:0.2 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:2\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-0.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:199\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:-0.4\nr0:0.3 r1:0.1 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:239\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:2\n_p8:o\n_p9:f\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:16\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.5 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:199\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-0.4\nr0:0.3 r1:0.1 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:4\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.4\nr0:0.2 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:239\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.5\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:8\n_p1:1\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.1\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:8\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.5 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:32\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.8\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:8\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.4 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:239\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.5 r1:0.9 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:8\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.9\nr0:0.6 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.4 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:239\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.6\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:2.6\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-3.3\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:4\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.5 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.6 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-3.2\nr0:0.5 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:239\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:2.0\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.4\nr0:0.2 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:1\n_p6:1\n_p7:8\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.9\nr0:0.1 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:239\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:8\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:f\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.3\nr0:0.8 r1:1.8 r2:1.4 r3:1.4 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:32\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.6\nr0:0.5 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:16\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.6 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:32\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.7\nr0:0.5 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:10\n_p6:1\n_p7:239\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:239\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.9\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:32\n_p1:32\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:16\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:32\n_p8:o\n_p9:f\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:6\n_p6:1\n_p7:16\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.9\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:1\n_p6:1\n_p7:239\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.3\nr0:0.8 r1:1.8 r2:1.4 r3:1.4 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:2\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.9\nr0:0.5 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.5 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.5 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:25\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:0.1\nTV:0\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[120], double x2[120], double y_1[120], double y_2[120], double A[120][120])\n{\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 120; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 120; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:12\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:9.9\nr0:0.1 r1:0.1 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V:1\nX:\n_p0:8\n_p1:1\n_p2:32\n_p3:1\n_p4:c\n_p5:f\n_p6:2\n_p7:120\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:6\n_p2:24\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:8.9\nr0:0.0 r1:0.6 r2:0.4 r3:1.2 V:0\nX:\n_p0:1\n_p1:5\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:120\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:c\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:120\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:3\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:16\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:12\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.0\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:6\n_p2:1\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:120\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:2\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:11.3\nr0:0.0 r1:0.3 r2:0.2 r3:0.4 V:1\nX:\n_p0:12\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:9.6\nr0:0.0 r1:1.2 r2:0.7 r3:2.4 V:0\nX:\n_p0:8\n_p1:2\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:2\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:2\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:4\n_p7:1\nY:9.3\nr0:0.0 r1:0.1 r2:0.1 r3:0.1 V:1\nX:\n_p0:8\n_p1:1\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:4\n_p7:120\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:15\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:2\nY:8.4\nr0:0.0 r1:1.6 r2:1.0 r3:3.3 V:0\nX:\n_p0:1\n_p1:12\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:120\n_p7:1\nY:8.8\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:2\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:8\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:4\n_p2:24\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:11.3\nr0:0.0 r1:0.6 r2:0.3 r3:0.8 V:1\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:120\n_p7:8\nY:8.4\nr0:0.1 r1:0.6 r2:0.3 r3:1.2 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:10\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:8.3\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:4\n_p3:30\n_p4:o\n_p5:c\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_2mm(int ni,int nj,int nk,int nl,double alpha,double beta,double tmp[40][50],double A[40][70],double B[70][50],double C[50][80],double D[40][80])\n{\n  int i;\n  int j;\n  int k;\n  \n#pragma ACCEL PIPELINE auto{_p6}\n  \n#pragma ACCEL TILE FACTOR=auto{_p10}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 40; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p8}\n    \n#pragma ACCEL TILE FACTOR=auto{_p12}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (j = 0; j < 50; j++) {\n      tmp[i][j] = 0.0;\n      \n#pragma ACCEL PARALLEL reduction = tmp FACTOR=auto{_p4}\n      for (k = 0; k < 70; ++k) {\n        tmp[i][j] += alpha * A[i][k] * B[k][j];\n      }\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p7}\n  \n#pragma ACCEL TILE FACTOR=auto{_p11}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 40; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (j = 0; j < 80; j++) {\n      D[i][j] *= beta;\n      \n#pragma ACCEL PARALLEL reduction = D FACTOR=auto{_p5}\n      for (k = 0; k < 50; ++k) {\n        D[i][j] += tmp[i][k] * C[k][j];\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:8\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:4\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:2.8 r2:1.9 r3:6.6 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:7\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.2\nr0:0.0 r1:0.0 r2:0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:5\n_p4:1\n_p5:10\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.5\nr0:0.0 r1:2.9 r2:1.9 r3:6.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:8\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:20\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:10.9\nr0:0.0 r1:1.8 r2:0.7 r3:1.6 V:0\nX:\n_p0:1\n_p1:32\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:2.3 r2:1.4 r3:5.2 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:5\n_p4:1\n_p5:50\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:10.3\nr0:0.0 r1:2.5 r2:1.6 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r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:7\n_p5:2\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.9\nr0:0.0 r1:0.0 r2:0 r3:0.0 V:1\nX:\n_p0:1\n_p1:5\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:c\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:8\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:50\n_p13:1\nY:3.7\nr0:0.0 r1:2.9 r2:1.9 r3:6.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:50\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:10.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:40\n_p12:1\n_p13:1\nY:3.7\nr0:0.0 r1:2.9 r2:1.9 r3:6.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:4\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:10\n_p1:4\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:80\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.5\nr0:0.0 r1:2.5 r2:1.6 r3:5.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:20\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:5\n_p5:1\n_p6:o\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:10\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:32\n_p5:50\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:2\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:8\n_p5:1\n_p6:o\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.5\nr0:0.0 r1:2.8 r2:1.9 r3:6.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:4\nY:5.7\nr0:0.0 r1:0.4 r2:0.2 r3:0.8 V:1\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.6 r2:0.4 r3:1.3 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:5\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:10.3\nr0:0.0 r1:2.5 r2:1.6 r3:5.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:4\n_p11:1\n_p12:1\n_p13:1\nY:3.5\nr0:0.0 r1:1.4 r2:1.3 r3:4.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:8\nY:5.7\nr0:0.0 r1:0.4 r2:0.2 r3:0.8 V:1\nX:\n_p0:1\n_p1:20\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:8\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:20\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:6.0\nr0:0.0 r1:1.8 r2:0.7 r3:1.6 V:0\nX:\n_p0:8\n_p1:10\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:40\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:10\n_p4:1\n_p5:50\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:11.2\nr0:0.0 r1:2.5 r2:1.7 r3:5.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:70\n_p5:2\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.6 r2:0.4 r3:1.3 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:14\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:16\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:6.0\nr0:0.0 r1:0.7 r2:0.4 r3:1.3 V:0\nTY:4.0\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:10\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_2mm(int ni,int nj,int nk,int nl,double alpha,double beta,double tmp[40][50],double A[40][70],double B[70][50],double C[50][80],double D[40][80])\n{\n  int i;\n  int j;\n  int k;\n  \n#pragma ACCEL PIPELINE auto{_p6}\n  \n#pragma ACCEL TILE FACTOR=auto{_p10}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 40; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p8}\n    \n#pragma ACCEL TILE FACTOR=auto{_p12}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (j = 0; j < 50; j++) {\n      tmp[i][j] = 0.0;\n      \n#pragma ACCEL PARALLEL reduction = tmp FACTOR=auto{_p4}\n      for (k = 0; k < 70; ++k) {\n        tmp[i][j] += alpha * A[i][k] * B[k][j];\n      }\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p7}\n  \n#pragma ACCEL TILE FACTOR=auto{_p11}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 40; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (j = 0; j < 80; j++) {\n      D[i][j] *= beta;\n      \n#pragma ACCEL PARALLEL reduction = D FACTOR=auto{_p5}\n      for (k = 0; k < 50; ++k) {\n        D[i][j] += tmp[i][k] * C[k][j];\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:16\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:2.8 r2:1.9 r3:6.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:2\n_p11:4\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:40\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:16\n_p5:1\n_p6:o\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:4\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:2\n_p12:4\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:50\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:2\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:5\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.2\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.4\nr0:0.0 r1:2.5 r2:1.6 r3:5.7 V:0\nX:\n_p0:5\n_p1:10\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:0\nX:\n_p0:1\n_p1:32\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.2\nr0:0.0 r1:0.0 r2:0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:32\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.3\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:16\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.2 V:1\nX:\n_p0:32\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:8\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:4\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:c\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:4\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:40\n_p11:8\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:40\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:40\n_p12:8\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:2\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:4\n_p12:1\n_p13:1\nY:5.7\nr0:0.0 r1:0.6 r2:0.4 r3:1.3 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:7\n_p5:2\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:80\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:1\n_p5:16\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.4\nr0:0.0 r1:2.4 r2:1.6 r3:5.7 V:0\nX:\n_p0:40\n_p1:2\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:4\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:16\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.3\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:5\n_p4:16\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.9\nr0:0.0 r1:0.2 r2:0.1 r3:0.4 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.3\nr0:0.0 r1:2.4 r2:1.6 r3:5.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:1\n_p5:4\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.7\nr0:0.0 r1:2.4 r2:1.6 r3:5.7 V:0\nX:\n_p0:1\n_p1:5\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:40\n_p11:8\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:50\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:8\n_p12:8\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:40\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.4 r2:0.2 r3:0.7 V:1\nX:\n_p0:4\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:4\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:16\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:1.5 r2:0.9 r3:3.3 V:0\nX:\n_p0:2\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.5\nr0:0.0 r1:4.9 r2:3.0 r3:11.4 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:5\n_p6:f\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:40\n_p11:1\n_p12:1\n_p13:1\nY:3.7\nr0:0.0 r1:2.9 r2:1.9 r3:6.5 V:0\nX:\n_p0:16\n_p1:20\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:2\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:32\n_p1:8\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:2\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.8\nr0:0.0 r1:0.0 r2:0 r3:0.0 V:1\nX:\n_p0:1\n_p1:10\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:3.1 r2:1.8 r3:6.6 V:0\nX:\n_p0:1\n_p1:20\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:5.9 r2:3.5 r3:13.1 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:50\n_p13:1\nY:3.7\nr0:0.0 r1:2.9 r2:1.9 r3:6.5 V:0\nX:\n_p0:8\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:8\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:5\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:5\n_p5:1\n_p6:o\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.3\nr0:0.0 r1:2.8 r2:1.9 r3:6.5 V:0\nX:\n_p0:5\n_p1:8\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:4\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:5\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.9\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:2\n_p5:1\n_p6:o\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:80\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:8\n_p6:o\n_p7:o\n_p8:f\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:40\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:80\nY:5.8\nr0:1.0 r1:1.5 r2:1.0 r3:3.3 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:14\n_p5:1\n_p6:o\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:6.0\nr0:0.0 r1:2.8 r2:1.9 r3:6.5 V:0\nTY:3.7\nTV:0\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:2\n_p12:1\n_p13:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_covariance(int m,int n,double float_n,double data[100][80],double cov[80][80],double mean[80])\n{\n  int i;\n  int j;\n  int k;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p6}\n  \n#pragma ACCEL TILE FACTOR=auto{_p10}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (j = 0; j < 80; j++) {\n    mean[j] = 0.0;\n    \n#pragma ACCEL PARALLEL reduction=mean FACTOR=auto{_p3}\n    for (i = 0; i < 100; i++) {\n      mean[j] += data[i][j];\n    }\n    mean[j] /= float_n;\n  }\n  \n#pragma ACCEL PIPELINE auto{_p7}\n  \n#pragma ACCEL TILE FACTOR=auto{_p11}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 100; i++) {\n    \n#pragma ACCEL PARALLEL reduction=data FACTOR=auto{_p4}\n    for (j = 0; j < 80; j++) {\n      data[i][j] -= mean[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    for (j = i; j < 80; j++) {\n      cov[i][j] = 0.0;\n      \n#pragma ACCEL PARALLEL reduction=cov FACTOR=auto{_p5}\n      for (k = 0; k < 100; k++) {\n        cov[i][j] += data[k][i] * data[k][j];\n      }\n      cov[i][j] /= float_n - 1.0;\n      cov[j][i] = cov[i][j];\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:2\n_p6:f\n_p7:o\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:8\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:100\n_p6:f\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:5.2\nr0:0.1 r1:0.3 r2:0.1 r3:0.1 V:1\nX:\n_p0:4\n_p1:4\n_p2:20\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:4\nY:4.3\nr0:0.0 r1:0.6 r2:0.2 r3:0.3 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:32\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:8\n_p12:1\nY:3.3\nr0:0.0 r1:0.3 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\nY:7.2\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:5\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.1\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:8\n_p1:20\n_p2:32\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.6\nr0:0.0 r1:0.5 r2:0.3 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\nY:7.1\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:2\n_p12:1\nY:2.2\nr0:0.0 r1:0.2 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:8\n_p12:1\nY:3.6\nr0:0.0 r1:0.3 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.3\nr0:0.0 r1:0.3 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:25\n_p6:f\n_p7:f\n_p8:o\n_p9:c\n_p10:1\n_p11:2\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.3\nr0:0.0 r1:0.4 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:20\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:32\n_p4:8\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.6\nr0:0.0 r1:0.4 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:10\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:32\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.6\nr0:0.0 r1:0.2 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:16\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.5\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:16\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.4\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:2\n_p1:4\n_p2:10\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:8\nY:4.3\nr0:0.0 r1:0.4 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:100\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:7.1\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:16\n_p1:1\n_p2:1\n_p3:32\n_p4:1\n_p5:16\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.8\nr0:0.0 r1:0.4 r2:0.1 r3:0.0 V:1\nX:\n_p0:8\n_p1:2\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:8\n_p12:80\nY:3.6\nr0:0.0 r1:0.8 r2:0.3 r3:0.4 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:10\n_p6:f\n_p7:f\n_p8:o\n_p9:c\n_p10:1\n_p11:4\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:32\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.3\nr0:0.0 r1:0.3 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:2\n_p2:10\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:8\n_p12:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:20\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.0\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:32\n_p6:o\n_p7:o\n_p8:c\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:10\n_p2:32\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.6\nr0:0.0 r1:0.5 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:16\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.5\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:100\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:5.0\nr0:0.1 r1:0.4 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:25\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:2\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.1\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:100\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:10\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:2\n_p12:1\nY:3.7\nr0:0.1 r1:0.3 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:5\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.2\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:25\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:32\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:2\n_p6:f\n_p7:o\n_p8:c\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:4\n_p2:20\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:c\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:32\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 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V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:1.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:2\n_p1:4\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:80\nY:4.4\nr0:0.0 r1:0.3 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:16\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\nY:8.1\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:80\n_p11:1\n_p12:80\nY:4.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:8\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:20\n_p2:20\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:4\nY:4.3\nr0:0.0 r1:0.5 r2:0.2 r3:0.2 V:1\nX:\n_p0:2\n_p1:4\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:4\n_p12:80\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:1\n_p5:100\n_p6:f\n_p7:f\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.0\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:32\n_p4:4\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.6\nr0:0.0 r1:0.5 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:100\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:5.0\nr0:0.1 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:4\n_p1:4\n_p2:20\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:4\n_p12:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:1\n_p5:2\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:1\n_p5:5\n_p6:o\n_p7:f\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:0\nX:\n_p0:8\n_p1:2\n_p2:32\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:8\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:5\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.2\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:100\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:5.0\nr0:0.1 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:100\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:8.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:2\n_p1:2\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:8\n_p12:1\nY:3.6\nr0:0.0 r1:0.4 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:5\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.1\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nTY:7.2\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:100\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_syr2k(double alpha,double beta,double C[80][80],double A[80][60],double B[80][60])\n{\n  int i;\n  int j;\n  int k;\n//BLAS PARAMS\n//UPLO  = 'L'\n//TRANS = 'N'\n//A is NxM\n//B is NxM\n//C is NxN\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      if (j <= i) {\n        C[i][j] *= beta;\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p5}\n    \n#pragma ACCEL TILE FACTOR=auto{_p7}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (k = 0; k < 60; k++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        if (j <= i) {\n          C[i][j] += A[j][k] * alpha * B[i][k] + B[j][k] * alpha * A[i][k];\n        }\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:16\n_p2:3\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.4\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:2\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.2\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:3\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:6\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.2\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.1\nr0:0.0 r1:0.1 r2:0.0 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V:1\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.4\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:6\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:2\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:8\nY:6.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:10\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:4\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.8\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:4\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.4\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:5\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:2\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.2\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nTY:7.5\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:2\n_p2:5\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[200][240],double ey[200][240],double hz[200][240],double _fict_[100])\n{\n  int t;\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 100; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 240; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 0; j < 240; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (i = 0; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n      for (j = 1; j < 240; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 200 - 1; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 240 - 1; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:1\n_p7:4\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:4\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:2\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.2 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:8\n_p8:o\n_p9:o\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:8\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:5\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:10\n_p6:1\n_p7:4\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:1\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:8\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.5 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.3 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:32\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:32\n_p7:1\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:199\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:4\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-0.5\nr0:0.2 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:32\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:25\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:16\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.6\nr0:0.5 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:4\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.2\nr0:0.5 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:8\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.3\nr0:0.6 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.2\nr0:0.1 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:2\n_p1:16\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:199\n_p3:20\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:239\n_p7:2\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 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V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:1\n_p7:8\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.6\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:239\n_p7:16\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.2\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:16\n_p3:1\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.5 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:8\n_p1:16\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:f\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.5\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:32\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:1\n_p7:4\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:f\n_p9:o\n_p10:o\n_p11:o\n_p12:2\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:8\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:1\n_p6:1\n_p7:32\n_p8:o\n_p9:f\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:16\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.8\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:1\n_p7:4\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:32\n_p8:o\n_p9:f\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.5 r1:0.6 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:239\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.5 r1:0.9 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-3.3\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:2\n_p3:1\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:239\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.3\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.9\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:8\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:6\n_p6:1\n_p7:16\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.7\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.6 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:-0.0\nr0:0.1 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-3.2\nr0:0.5 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:32\n_p2:2\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.3\nr0:0.7 r1:1.0 r2:0.9 r3:1.0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-0.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nTY:2.0\nTV:0\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:239\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[60][80],double ey[60][80],double hz[60][80],double _fict_[40])\n{\n  int t;\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 40; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 60; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 60; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 1; j < 80; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n    for (i = 0; i < 59; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 79; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:16\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:79\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.7\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:1\n_p6:4\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.5\nr0:0.0 r1:1.3 r2:0.7 r3:0.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.6\nr0:0.0 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:16\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.0\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:2\n_p5:1\n_p6:2\n_p7:1\n_p8:c\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:59\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.6\nr0:0.0 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:60\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.6\nr0:0.0 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:4\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:60\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:f\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:2\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:7.9\nr0:0.0 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:2\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:79\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:32\n_p1:16\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:79\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.5\nr0:0.0 r1:0.6 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:79\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.5\nr0:0.0 r1:0.6 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:2\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:5\n_p1:1\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:4\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:59\n_p14:2\n_p15:59\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:f\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:7.4\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:8\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.0 r1:0.2 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:2.7\nr0:0.1 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:10\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:59\n_p14:60\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:2\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:59\n_p14:1\n_p15:8\nY:3.5\nr0:0.0 r1:1.0 r2:0.5 r3:0.8 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V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:59\n_p14:60\n_p15:59\nY:8.8\nr0:0.0 r1:0.4 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:5\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:40\n_p1:16\n_p2:1\n_p3:16\n_p4:4\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:59\n_p14:1\n_p15:59\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.7\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:16\n_p4:1\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:16\n_p4:1\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:8.5\nr0:0.0 r1:0.4 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:3.8\nr0:0.0 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.1\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:2\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:79\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:2.9\nr0:0.0 r1:0.5 r2:0.2 r3:0.4 V:1\nX:\n_p0:40\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:59\n_p14:60\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:4\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:16\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:79\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:16\n_p2:4\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:60\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:f\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:8.1\nr0:0.0 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:8.7\nr0:0.0 r1:0.4 r2:0.2 r3:0.2 V:1\nTY:8.9\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:4\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_syr2k(double alpha,double beta,double C[80][80],double A[80][60],double B[80][60])\n{\n  int i;\n  int j;\n  int k;\n//BLAS PARAMS\n//UPLO  = 'L'\n//TRANS = 'N'\n//A is NxM\n//B is NxM\n//C is NxN\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      if (j <= i) {\n        C[i][j] *= beta;\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p5}\n    \n#pragma ACCEL TILE FACTOR=auto{_p7}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (k = 0; k < 60; k++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        if (j <= i) {\n          C[i][j] += A[j][k] * alpha * B[i][k] + B[j][k] * alpha * A[i][k];\n        }\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.7\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:8\nY:6.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:3\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:5\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:3\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:2\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:6.5\nr0:0.0 r1:0.3 r2:0.5 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:8\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:10\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.7\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:3\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:60\nY:7.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:5\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.2\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:1\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:6\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 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V:1\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.4\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.8\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:10\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:10\n_p1:1\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:4\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:6\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:6\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:1\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:2\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.9\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.2\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:8\nY:6.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:4\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:2\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:3\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:4\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:2\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:5\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:6.0\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:6\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nTY:6.0\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:3\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_syr2k(double alpha,double beta,double C[80][80],double A[80][60],double B[80][60])\n{\n  int i;\n  int j;\n  int k;\n//BLAS PARAMS\n//UPLO  = 'L'\n//TRANS = 'N'\n//A is NxM\n//B is NxM\n//C is NxN\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      if (j <= i) {\n        C[i][j] *= beta;\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p5}\n    \n#pragma ACCEL TILE FACTOR=auto{_p7}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (k = 0; k < 60; k++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        if (j <= i) {\n          C[i][j] += A[j][k] * alpha * B[i][k] + B[j][k] * alpha * A[i][k];\n        }\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.4\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.3\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:16\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.4\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:5\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:3\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:5\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.5\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:4\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:5\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:3\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 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V:0\nX:\n_p0:1\n_p1:2\n_p2:4\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:5.7\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:10\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:3\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:3\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.2\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.2\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:2.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:8\nY:6.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:2\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:6\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:7.6\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:4\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[60][80],double ey[60][80],double hz[60][80],double _fict_[40])\n{\n  int t;\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 40; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 60; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 60; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 1; j < 80; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n    for (i = 0; i < 59; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 79; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.7\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:2\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:59\n_p14:60\n_p15:59\nY:8.7\nr0:0.0 r1:0.4 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:59\n_p14:60\n_p15:1\nY:3.8\nr0:0.0 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:6.7\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:16\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.1 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:32\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.0\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.6\nr0:0.0 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:4\n_p3:1\n_p4:2\n_p5:1\n_p6:16\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:6\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:59\n_p14:60\n_p15:8\nY:3.5\nr0:0.0 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:59\n_p14:60\n_p15:1\nY:7.9\nr0:0.0 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:8\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.5\nr0:0.0 r1:2.4 r2:1.3 r3:1.8 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:7.4\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:32\n_p4:1\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.7\nr0:0.0 r1:0.4 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:8\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.6\nr0:0.0 r1:2.4 r2:1.3 r3:1.8 V:0\nX:\n_p0:5\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:59\n_p14:60\n_p15:59\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.0\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:2.9\nr0:0.0 r1:0.5 r2:0.2 r3:0.4 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:2\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:7.9\nr0:0.0 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:79\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.5\nr0:0.0 r1:1.3 r2:0.7 r3:0.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.1 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:2\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:2\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:59\n_p14:1\n_p15:8\nY:3.5\nr0:0.0 r1:1.0 r2:0.5 r3:0.8 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:2\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:16\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:2\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:16\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:16\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.5\nr0:0.0 r1:0.6 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:1\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:8.0\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:2\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:2\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:5.5\nTV:0\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:79\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[60][80],double ey[60][80],double hz[60][80],double _fict_[40])\n{\n  int t;\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 40; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 60; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 60; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 1; j < 80; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n    for (i = 0; i < 59; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 79; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:4\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.6\nr0:0.0 r1:1.3 r2:0.5 r3:0.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:16\n_p8:o\n_p9:f\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:59\n_p14:60\n_p15:59\nY:8.8\nr0:0.0 r1:0.4 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:4\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:59\n_p14:2\n_p15:59\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:79\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:59\n_p3:16\n_p4:3\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:8\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.0 r1:0.2 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:32\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:59\nY:4.7\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:16\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:32\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.8\nr0:0.0 r1:0.4 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.5\nr0:0.0 r1:0.6 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:2\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:7.9\nr0:0.0 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:79\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:2.9\nr0:0.0 r1:0.5 r2:0.2 r3:0.4 V:1\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:4\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:8\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:32\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.2\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:59\n_p14:60\n_p15:8\nY:3.1\nr0:0.1 r1:0.8 r2:0.4 r3:0.7 V:0\nX:\n_p0:2\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:32\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.1 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:5\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:60\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.5\nr0:0.0 r1:0.6 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:79\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:2\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.1\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:4\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.6\nr0:0.0 r1:1.3 r2:0.7 r3:0.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:79\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:8\nY:3.5\nr0:0.0 r1:1.4 r2:0.6 r3:1.2 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:2.9\nr0:0.0 r1:0.5 r2:0.2 r3:0.4 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:16\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.0\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:79\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.5\nr0:0.0 r1:1.3 r2:0.7 r3:0.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:16\n_p4:1\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:8.5\nr0:0.0 r1:0.4 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:8\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.6\nr0:0.0 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:59\n_p14:60\n_p15:1\nY:1.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nTY:6.6\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_trmm(double alpha,double A[60][60],double B[60][80])\n{\n//BLAS parameters\n//SIDE   = 'L'\n//UPLO   = 'L'\n//TRANSA = 'T'\n//DIAG   = 'U'\n// => Form  B := alpha*A**T*B.\n// A is MxM\n// B is MxN\n  \n#pragma ACCEL PIPELINE auto{_p3}\n  \n#pragma ACCEL TILE FACTOR=auto{_p5}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (int i = 0; i < 60; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p4}\n    \n#pragma ACCEL TILE FACTOR=auto{_p6}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (int j = 0; j < 80; j++) {\n      \n#pragma ACCEL PARALLEL reduction=B FACTOR=auto{_p2}\n      for (int k = 0; k < 60; k++) {\n        if (k > i) {\n          B[i][j] += A[k][i] * B[k][j];\n        }\n      }\n      B[i][j] = alpha * B[i][j];\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:10\n_p2:6\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.2\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:2\n_p1:5\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:30\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:8\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.2\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:32\n_p2:10\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.2\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:32\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:10\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.2\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:2\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:c\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:10\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:12\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:1.3\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:5\n_p3:o\n_p4:o\n_p5:1\n_p6:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_trmm(double alpha,double A[60][60],double B[60][80])\n{\n//BLAS parameters\n//SIDE   = 'L'\n//UPLO   = 'L'\n//TRANSA = 'T'\n//DIAG   = 'U'\n// => Form  B := alpha*A**T*B.\n// A is MxM\n// B is MxN\n  \n#pragma ACCEL PIPELINE auto{_p3}\n  \n#pragma ACCEL TILE FACTOR=auto{_p5}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (int i = 0; i < 60; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p4}\n    \n#pragma ACCEL TILE FACTOR=auto{_p6}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (int j = 0; j < 80; j++) {\n      double sum = B[i][j];\n#pragma ACCEL PARALLEL reduction=sum FACTOR=auto{_p2}\n      for (int k = 0; k < 60; k++) {\n        if (k > i) {\n          sum += A[k][i] * B[k][j];\n        }\n      }\n      B[i][j] = alpha * sum;\n    }\n  }\n}\n ```\nX:\n_p0:16\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:3.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:5\n_p2:6\n_p3:o\n_p4:c\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.2\nr0:0.0 r1:0.3 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:2\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:80\nY:10.1\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nTY:4.8\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:10\n_p3:o\n_p4:o\n_p5:60\n_p6:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_2mm(int ni,int nj,int nk,int nl,double alpha,double beta,double tmp[40][50],double A[40][70],double B[70][50],double C[50][80],double D[40][80])\n{\n  int i;\n  int j;\n  int k;\n  \n#pragma ACCEL PIPELINE auto{_p6}\n  \n#pragma ACCEL TILE FACTOR=auto{_p10}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 40; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p8}\n    \n#pragma ACCEL TILE FACTOR=auto{_p12}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (j = 0; j < 50; j++) {\n      tmp[i][j] = 0.0;\n      \n#pragma ACCEL PARALLEL reduction = tmp FACTOR=auto{_p4}\n      for (k = 0; k < 70; ++k) {\n        tmp[i][j] += alpha * A[i][k] * B[k][j];\n      }\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p7}\n  \n#pragma ACCEL TILE FACTOR=auto{_p11}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 40; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (j = 0; j < 80; j++) {\n      D[i][j] *= beta;\n      \n#pragma ACCEL PARALLEL reduction = D FACTOR=auto{_p5}\n      for (k = 0; k < 50; ++k) {\n        D[i][j] += tmp[i][k] * C[k][j];\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:4\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:8\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:4\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:25\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:50\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:2\n_p12:8\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:32\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:40\n_p11:4\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:4\n_p11:1\n_p12:1\n_p13:1\nY:3.5\nr0:0.0 r1:1.4 r2:1.3 r3:4.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:10.8\nr0:0.0 r1:0.2 r2:0.1 r3:0.3 V:1\nX:\n_p0:1\n_p1:5\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:c\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:80\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:1\n_p5:2\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.1\nr0:0.0 r1:2.4 r2:1.6 r3:5.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:50\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.0\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.7\nr0:0.0 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:8\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:5\n_p4:8\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.4 V:1\nX:\n_p0:1\n_p1:20\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:2\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:20\n_p4:70\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:11.6\nr0:0.0 r1:3.6 r2:1.8 r3:5.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:5\n_p6:o\n_p7:o\n_p8:f\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:2\n_p12:1\n_p13:1\nY:5.6\nr0:0.0 r1:0.6 r2:0.4 r3:1.3 V:0\nX:\n_p0:8\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:2\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:4\n_p11:2\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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r3:6.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:50\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:2\n_p12:8\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:8\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:7\n_p5:10\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.6\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:20\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:8\n_p1:2\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:16\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.3\nr0:0.0 r1:0.0 r2:0.0 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V:0\nX:\n_p0:8\n_p1:5\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:8\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.0\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:10\n_p1:2\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:20\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:16\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.7 r2:0.4 r3:1.3 V:0\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:2\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:32\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.0\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:1\n_p5:2\n_p6:f\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.1\nr0:0.0 r1:2.4 r2:1.6 r3:5.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:7\n_p5:32\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.2\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:10\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.2\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:10\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.5\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:1\n_p5:32\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:8.0\nr0:0.0 r1:2.7 r2:1.8 r3:6.3 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:8\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.7\nr0:0.0 r1:0.2 r2:0.1 r3:0.3 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:c\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:40\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:4\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:50\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:6.9\nr0:0.0 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:16\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.6\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:10\n_p4:16\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.9\nr0:0.0 r1:0.4 r2:0.2 r3:0.8 V:0\nX:\n_p0:1\n_p1:10\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:2\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:8\n_p12:4\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:2\nY:5.7\nr0:0.0 r1:0.4 r2:0.2 r3:0.7 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:8\nY:3.3\nr0:0.0 r1:2.4 r2:1.6 r3:5.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:2.8 r2:1.9 r3:6.6 V:0\nTY:5.1\nTV:0\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:5\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[120], double x2[120], double y_1[120], double y_2[120], double A[120][120])\n{\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 120; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 120; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:8\n_p1:12\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:3\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:4\nY:9.4\nr0:0.1 r1:1.0 r2:0.6 r3:2.1 V:0\nX:\n_p0:2\n_p1:8\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:11.3\nr0:0.0 r1:0.8 r2:0.5 r3:1.5 V:0\nX:\n_p0:4\n_p1:32\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:120\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:24\n_p2:1\n_p3:20\n_p4:f\n_p5:c\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:6\n_p2:1\n_p3:2\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:8.8\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:6\n_p2:8\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:8.6\nr0:0.0 r1:0.6 r2:0.3 r3:1.2 V:0\nX:\n_p0:1\n_p1:10\n_p2:30\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:9.0\nr0:0.0 r1:1.0 r2:0.6 r3:1.9 V:0\nX:\n_p0:16\n_p1:1\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:120\nY:9.7\nr0:0.0 r1:1.6 r2:0.9 r3:3.1 V:0\nX:\n_p0:3\n_p1:1\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:6\n_p2:1\n_p3:2\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:8.8\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:30\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:120\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:10\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:4\n_p7:120\nY:11.0\nr0:0.0 r1:0.6 r2:0.3 r3:1.0 V:0\nX:\n_p0:1\n_p1:5\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:120\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:10\n_p1:24\n_p2:1\n_p3:20\n_p4:f\n_p5:c\n_p6:8\n_p7:1\nY:10.8\nr0:0.0 r1:1.0 r2:0.7 r3:2.0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:12\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.1 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:10\n_p2:2\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:1.0 r2:0.6 r3:1.9 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V:1\nX:\n_p0:1\n_p1:10\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:120\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:15\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:120\n_p7:1\nY:7.8\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:1\n_p2:10\n_p3:12\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.6\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:6.7\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:16\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:120\n_p7:1\nY:9.3\nr0:0.1 r1:1.6 r2:1.0 r3:3.1 V:0\nX:\n_p0:4\n_p1:1\n_p2:10\n_p3:30\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:8.7\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:2\n_p1:32\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:3\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:6.6\nr0:0.0 r1:0.0 r2:0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:20\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:9.3\nr0:0.0 r1:0.8 r2:0.4 r3:1.5 V:0\nX:\n_p0:1\n_p1:8\n_p2:30\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:9.0\nr0:0.0 r1:0.8 r2:0.5 r3:1.6 V:0\nX:\n_p0:1\n_p1:15\n_p2:1\n_p3:24\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:8.4\nr0:0.1 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:8\n_p1:2\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:120\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:2\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:2\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.6\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nTY:9.2\nTV:1\n", "outputs":"### outputs: _p0:8\n_p1:6\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_trmm(double alpha,double A[60][60],double B[60][80])\n{\n//BLAS parameters\n//SIDE   = 'L'\n//UPLO   = 'L'\n//TRANSA = 'T'\n//DIAG   = 'U'\n// => Form  B := alpha*A**T*B.\n// A is MxM\n// B is MxN\n  \n#pragma ACCEL PIPELINE auto{_p3}\n  \n#pragma ACCEL TILE FACTOR=auto{_p5}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (int i = 0; i < 60; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p4}\n    \n#pragma ACCEL TILE FACTOR=auto{_p6}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (int j = 0; j < 80; j++) {\n      double sum = B[i][j];\n#pragma ACCEL PARALLEL reduction=sum FACTOR=auto{_p2}\n      for (int k = 0; k < 60; k++) {\n        if (k > i) {\n          sum += A[k][i] * B[k][j];\n        }\n      }\n      B[i][j] = alpha * sum;\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:8\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:8.7\nr0:0.0 r1:0.5 r2:0.3 r3:0.8 V:1\nX:\n_p0:1\n_p1:10\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:15\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:8.5\nr0:0 r1:0.6 r2:0.3 r3:1.0 V:0\nX:\n_p0:1\n_p1:80\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:12\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.0\nr0:0.0 r1:4.2 r2:17.6 r3:8.4 V:0\nX:\n_p0:1\n_p1:2\n_p2:60\n_p3:o\n_p4:c\n_p5:60\n_p6:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:4.9\nr0:0.1 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:4\n_p1:4\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.2\nr0:0.0 r1:0.9 r2:7.0 r3:1.5 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:8\nY:8.5\nr0:0 r1:0.6 r2:0.3 r3:1.0 V:0\nX:\n_p0:1\n_p1:16\n_p2:3\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:5.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:8.7\nr0:0.0 r1:0.5 r2:0.3 r3:0.8 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:80\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:8.2\nr0:0.0 r1:0.3 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:3\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:4.8\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:3.9\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:20\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:4\nY:8.6\nr0:0 r1:1.2 r2:0.7 r3:1.9 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:4.2\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:16\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:8.7\nr0:0.0 r1:0.9 r2:0.6 r3:1.5 V:0\nX:\n_p0:1\n_p1:8\n_p2:8\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:16\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.5\nr0:0.0 r1:1.7 r2:5.8 r3:3.0 V:0\nX:\n_p0:1\n_p1:80\n_p2:5\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:2.7\nr0:0.0 r1:0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:5\n_p2:30\n_p3:o\n_p4:o\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:12\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:5\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.7\nr0:0.0 r1:1.9 r2:9.4 r3:3.7 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:8.5\nr0:0 r1:0.6 r2:0.3 r3:1.0 V:0\nX:\n_p0:4\n_p1:1\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:0\nX:\n_p0:1\n_p1:2\n_p2:30\n_p3:o\n_p4:c\n_p5:60\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:5.0\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.5\nr0:0 r1:0.6 r2:0.3 r3:1.0 V:0\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.6\nr0:0 r1:1.2 r2:0.7 r3:1.9 V:0\nX:\n_p0:3\n_p1:4\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.6\nr0:0.0 r1:0.7 r2:5.0 r3:1.1 V:0\nX:\n_p0:1\n_p1:1\n_p2:30\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:5.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:60\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:4.3\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:2\n_p2:5\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:8.5\nr0:0 r1:0.6 r2:0.3 r3:1.0 V:0\nX:\n_p0:6\n_p1:1\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:3\n_p1:80\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:2\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:8.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.4 V:1\nX:\n_p0:1\n_p1:4\n_p2:15\n_p3:o\n_p4:c\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:2.7\nr0:0.0 r1:0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:o\n_p4:c\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:4.2\nr0:0.0 r1:0 r2:0 r3:0 V:1\nX:\n_p0:3\n_p1:2\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.3\nr0:0.0 r1:0.4 r2:4.7 r3:0.6 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:3.9\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:4.4\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:10\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:8\nY:8.5\nr0:0 r1:0.6 r2:0.3 r3:1.0 V:0\nX:\n_p0:2\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.7\nr0:0 r1:1.1 r2:3.6 r3:1.9 V:0\nX:\n_p0:16\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:8.6\nr0:0 r1:1.2 r2:0.7 r3:1.9 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.7\nr0:0.0 r1:0.9 r2:0.6 r3:1.5 V:0\nTY:8.4\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:80\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_trmm(double alpha,double A[60][60],double B[60][80])\n{\n//BLAS parameters\n//SIDE   = 'L'\n//UPLO   = 'L'\n//TRANSA = 'T'\n//DIAG   = 'U'\n// => Form  B := alpha*A**T*B.\n// A is MxM\n// B is MxN\n  \n#pragma ACCEL PIPELINE auto{_p3}\n  \n#pragma ACCEL TILE FACTOR=auto{_p5}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (int i = 0; i < 60; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p4}\n    \n#pragma ACCEL TILE FACTOR=auto{_p6}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (int j = 0; j < 80; j++) {\n      \n#pragma ACCEL PARALLEL reduction=B FACTOR=auto{_p2}\n      for (int k = 0; k < 60; k++) {\n        if (k > i) {\n          B[i][j] += A[k][i] * B[k][j];\n        }\n      }\n      B[i][j] = alpha * B[i][j];\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:30\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:8\n_p2:5\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.2\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:32\n_p1:1\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:5\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:16\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:80\n_p2:4\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:5\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.2\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:6\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:32\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:5\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:0\nX:\n_p0:6\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:4\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:4\n_p2:5\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:2\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:80\n_p2:3\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:32\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:32\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:8\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:5\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:2\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:30\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.2\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:o\n_p4:c\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:10\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:2\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:1.2\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_syr2k(double alpha,double beta,double C[80][80],double A[80][60],double B[80][60])\n{\n  int i;\n  int j;\n  int k;\n//BLAS PARAMS\n//UPLO  = 'L'\n//TRANS = 'N'\n//A is NxM\n//B is NxM\n//C is NxN\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      if (j <= i) {\n        C[i][j] *= beta;\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p5}\n    \n#pragma ACCEL TILE FACTOR=auto{_p7}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (k = 0; k < 60; k++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        if (j <= i) {\n          C[i][j] += A[j][k] * alpha * B[i][k] + B[j][k] * alpha * A[i][k];\n        }\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:30\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.4\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:8\nY:6.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.2\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:6\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:60\nY:7.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:16\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:30\n_p3:1\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:5\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:3.7\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:5\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.4\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:8\nY:6.2\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:4\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.8\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:5\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:4\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:2\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.3\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.2\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:3\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:4\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:5.1\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:2\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:4\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:4\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:6\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:2\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:3\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:2\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:3\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:6.5\nr0:0.0 r1:0.3 r2:0.5 r3:0.0 V:1\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:10\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:5.4\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.2\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:5\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:5\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.8\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:3\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.7\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:80\n_p1:1\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:2\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:7.5\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:2\n_p2:3\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_trmm(double alpha,double A[60][60],double B[60][80])\n{\n//BLAS parameters\n//SIDE   = 'L'\n//UPLO   = 'L'\n//TRANSA = 'T'\n//DIAG   = 'U'\n// => Form  B := alpha*A**T*B.\n// A is MxM\n// B is MxN\n  \n#pragma ACCEL PIPELINE auto{_p3}\n  \n#pragma ACCEL TILE FACTOR=auto{_p5}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (int i = 0; i < 60; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p4}\n    \n#pragma ACCEL TILE FACTOR=auto{_p6}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (int j = 0; j < 80; j++) {\n      double sum = B[i][j];\n#pragma ACCEL PARALLEL reduction=sum FACTOR=auto{_p2}\n      for (int k = 0; k < 60; k++) {\n        if (k > i) {\n          sum += A[k][i] * B[k][j];\n        }\n      }\n      B[i][j] = alpha * sum;\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:10\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:8\nY:8.5\nr0:0 r1:0.6 r2:0.3 r3:1.0 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V:1\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:3.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:10\n_p3:o\n_p4:c\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:80\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:32\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:5.0\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:30\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:5.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:3\n_p1:16\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.6\nr0:0.0 r1:1.6 r2:7.4 r3:3.0 V:0\nTY:8.4\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:2\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[400],double x2[400],double y_1[400],double y_2[400],double A[400][400])\n{\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 400; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 400; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:400\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:6.4\nr0:0.2 r1:0.3 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:400\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:400\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:1\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:1\n_p7:400\nY:6.9\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:5\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:2\n_p7:1\nY:5.1\nr0:0.2 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:4\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:1\nY:6.9\nr0:0.3 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:10\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:5.3\nr0:0.8 r1:1.2 r2:0.7 r3:2.6 V:0\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:2\n_p7:1\nY:6.7\nr0:0.1 r1:2.6 r2:1.5 r3:5.2 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:4\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:6.1\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:4\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.4\nr0:0.2 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:32\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.0\nr0:0.3 r1:0.4 r2:0.2 r3:0.3 V:1\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:4\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:25\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:8.5\nr0:0.2 r1:0.3 r2:0.2 r3:0.7 V:1\nX:\n_p0:25\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:1\n_p7:1\nY:7.1\nr0:0.3 r1:0.4 r2:0.3 r3:0.2 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:10\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:6.8\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:4\n_p7:1\nY:5.9\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:2\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:4\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:3.9\nr0:0.3 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:8\n_p1:16\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:2\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:4.6\nr0:0.3 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:5.3\nr0:0.4 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:32\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:400\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:2\nY:7.7\nr0:0.2 r1:0.7 r2:0.5 r3:0.7 V:1\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:16\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:7.2\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:400\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:5.3\nr0:0.5 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:5.7\nr0:0.2 r1:0.0 r2:0.0 r3:0.0 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V:0\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:400\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.0\nr0:0.3 r1:0.1 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:25\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:400\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:16\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:4.9\nr0:0.2 r1:0.4 r2:0.2 r3:0.7 V:1\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:8\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:8\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:400\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:6.0\nr0:0.2 r1:3.2 r2:2.0 r3:6.4 V:0\nX:\n_p0:4\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:1\nY:5.6\nr0:0.3 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:25\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:1\nY:7.1\nr0:0.3 r1:0.4 r2:0.3 r3:0.2 V:1\nX:\n_p0:5\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:7.9\nr0:1.0 r1:1.8 r2:1.0 r3:3.2 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.3\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:5\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:5\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:4.3\nr0:0.1 r1:2.6 r2:1.5 r3:5.1 V:0\nX:\n_p0:8\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:8\n_p7:400\nY:6.2\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:16\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:8\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:25\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:8.3\nr0:0.2 r1:0.4 r2:0.2 r3:0.7 V:1\nX:\n_p0:4\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:8\n_p7:1\nY:7.1\nr0:0.3 r1:0.9 r2:0.6 r3:1.2 V:0\nX:\n_p0:20\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:25\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:5.8\nr0:0.2 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:5.0\nr0:0.3 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:2\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:3.5\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:2\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:3.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:10\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:8\n_p7:1\nY:6.4\nr0:0.4 r1:0.1 r2:0.1 r3:0.3 V:1\nX:\n_p0:4\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:8\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:6.9\nr0:0.2 r1:1.5 r2:0.8 r3:2.6 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:10\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.8\nr0:0.2 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:20\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:1\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:400\nY:7.2\nr0:0.6 r1:0.6 r2:0.4 r3:1.3 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.0\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:5\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:4.6\nr0:0.2 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:2\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:2\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.3\nr0:0.2 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:400\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:25\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:25\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:4\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:5.3\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:20\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:2\n_p7:400\nY:5.9\nr0:0.3 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:2\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:4.3\nr0:0.3 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:16\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:2\n_p7:400\nY:6.3\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:5\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:6.8\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:16\n_p1:1\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:2\n_p7:400\nY:6.7\nr0:0.1 r1:0.6 r2:0.3 r3:0.7 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:400\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:16\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.1\nr0:0.5 r1:0.1 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:2\nY:7.9\nr0:0.2 r1:2.8 r2:1.7 r3:5.8 V:0\nX:\n_p0:8\n_p1:16\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:8\n_p7:1\nY:5.6\nr0:0.5 r1:0.0 r2:0.0 r3:0.1 V:1\nX:\n_p0:10\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:1\n_p7:1\nY:7.0\nr0:0.4 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:2\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:3.9\nr0:0.1 r1:0.0 r2:0 r3:0 V:1\nTY:3.5\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:400\n_p4:o\n_p5:o\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_2mm(int ni,int nj,int nk,int nl,double alpha,double beta,double tmp[40][50],double A[40][70],double B[70][50],double C[50][80],double D[40][80])\n{\n  int i;\n  int j;\n  int k;\n  \n#pragma ACCEL PIPELINE auto{_p6}\n  \n#pragma ACCEL TILE FACTOR=auto{_p10}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 40; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p8}\n    \n#pragma ACCEL TILE FACTOR=auto{_p12}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (j = 0; j < 50; j++) {\n      tmp[i][j] = 0.0;\n      \n#pragma ACCEL PARALLEL reduction = tmp FACTOR=auto{_p4}\n      for (k = 0; k < 70; ++k) {\n        tmp[i][j] += alpha * A[i][k] * B[k][j];\n      }\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p7}\n  \n#pragma ACCEL TILE FACTOR=auto{_p11}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 40; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (j = 0; j < 80; j++) {\n      D[i][j] *= beta;\n      \n#pragma ACCEL PARALLEL reduction = D FACTOR=auto{_p5}\n      for (k = 0; k < 50; ++k) {\n        D[i][j] += tmp[i][k] * C[k][j];\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:4\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:8\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.3\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:2\nY:5.7\nr0:0.0 r1:0.4 r2:0.2 r3:0.7 V:1\nX:\n_p0:20\n_p1:20\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:0\nX:\n_p0:16\n_p1:10\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:4\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:80\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:25\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:40\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:4\n_p12:1\n_p13:1\nY:5.6\nr0:0.0 r1:0.4 r2:0.2 r3:0.7 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:3.5\nr0:0.0 r1:2.5 r2:1.6 r3:5.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:1\n_p5:16\n_p6:f\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:7\n_p5:10\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.6\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.4\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:50\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:25\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:2\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:2\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:20\n_p4:70\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:11.6\nr0:0.0 r1:3.6 r2:1.8 r3:5.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:14\n_p5:1\n_p6:o\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:40\n_p11:2\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:1\n_p5:10\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.2\nr0:0.0 r1:2.4 r2:1.6 r3:5.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:5\n_p4:1\n_p5:50\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:10.3\nr0:0.0 r1:2.5 r2:1.6 r3:5.7 V:0\nX:\n_p0:32\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:5\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.9\nr0:0.0 r1:0.2 r2:0.1 r3:0.4 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.1\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:50\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:2\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:2\n_p12:1\n_p13:1\nY:5.7\nr0:0.0 r1:1.2 r2:0.7 r3:2.6 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:32\n_p6:f\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:14\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.3\nr0:0.0 r1:0.0 r2:0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:50\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.0\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:5\n_p1:5\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:40\n_p12:4\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:70\n_p5:2\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:8\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:20\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:4\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:40\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:32\n_p1:5\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:8\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:16\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.2\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:14\n_p5:50\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:1\n_p5:16\n_p6:f\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.4\nr0:0.0 r1:2.4 r2:1.6 r3:5.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.7\nr0:0.0 r1:2.9 r2:1.9 r3:6.5 V:0\nX:\n_p0:1\n_p1:4\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:80\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:20\n_p1:2\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:5\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.3\nr0:0.0 r1:2.8 r2:1.9 r3:6.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:5\n_p4:1\n_p5:25\n_p6:f\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:5.8\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:2\n_p3:2\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_2mm(int ni,int nj,int nk,int nl,double alpha,double beta,double tmp[40][50],double A[40][70],double B[70][50],double C[50][80],double D[40][80])\n{\n  int i;\n  int j;\n  int k;\n  \n#pragma ACCEL PIPELINE auto{_p6}\n  \n#pragma ACCEL TILE FACTOR=auto{_p10}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 40; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p8}\n    \n#pragma ACCEL TILE FACTOR=auto{_p12}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (j = 0; j < 50; j++) {\n      tmp[i][j] = 0.0;\n      \n#pragma ACCEL PARALLEL reduction = tmp FACTOR=auto{_p4}\n      for (k = 0; k < 70; ++k) {\n        tmp[i][j] += alpha * A[i][k] * B[k][j];\n      }\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p7}\n  \n#pragma ACCEL TILE FACTOR=auto{_p11}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 40; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (j = 0; j < 80; j++) {\n      D[i][j] *= beta;\n      \n#pragma ACCEL PARALLEL reduction = D FACTOR=auto{_p5}\n      for (k = 0; k < 50; ++k) {\n        D[i][j] += tmp[i][k] * C[k][j];\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:4\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.1\nr0:0.0 r1:0.0 r2:0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:2\n_p5:1\n_p6:o\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:32\n_p5:5\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.3\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:40\n_p11:1\n_p12:1\n_p13:1\nY:3.5\nr0:0.0 r1:2.5 r2:1.6 r3:5.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:16\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:2.8 r2:1.9 r3:6.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:14\n_p5:4\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.3\nr0:0.0 r1:0.0 r2:0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:40\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:16\n_p4:16\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.9\nr0:0.0 r1:0.7 r2:0.4 r3:1.3 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:5\n_p5:1\n_p6:o\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.3\nr0:0.0 r1:2.8 r2:1.9 r3:6.5 V:0\nX:\n_p0:16\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:10\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.5\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nTY:5.8\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_syr2k(double alpha,double beta,double C[80][80],double A[80][60],double B[80][60])\n{\n  int i;\n  int j;\n  int k;\n//BLAS PARAMS\n//UPLO  = 'L'\n//TRANS = 'N'\n//A is NxM\n//B is NxM\n//C is NxN\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      if (j <= i) {\n        C[i][j] *= beta;\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p5}\n    \n#pragma ACCEL TILE FACTOR=auto{_p7}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (k = 0; k < 60; k++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        if (j <= i) {\n          C[i][j] += A[j][k] * alpha * B[i][k] + B[j][k] * alpha * A[i][k];\n        }\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:4\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:10\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:3\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:4\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:6\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:3\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:4\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.8\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:6.4\nr0:0.0 r1:0.3 r2:0.2 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:5.9\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:8\nY:6.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.8\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.2\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:5\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:4\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.4\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:4\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:3\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:10\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:2.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:4\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.2\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.2\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:4\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.1 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:5\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:3.7\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:8\n_p2:2\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:8\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:5\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:6\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.4\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:10\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.7\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:2\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:6\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:6\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:8\nY:6.2\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:4\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.4\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:10\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.1 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.2\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nTY:5.9\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:16\n_p2:1\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[120], double x2[120], double y_1[120], double y_2[120], double A[120][120])\n{\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 120; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 120; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:5\n_p2:5\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.5 r2:0.3 r3:1.0 V:0\nX:\n_p0:4\n_p1:24\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:2\n_p7:1\nY:8.9\nr0:0.1 r1:0.1 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:6\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.1\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:4\n_p1:4\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:10.8\nr0:0.1 r1:1.6 r2:1.0 r3:3.1 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:7.9\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:8\n_p1:30\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:3\n_p2:1\n_p3:120\n_p4:f\n_p5:o\n_p6:1\n_p7:2\nY:8.3\nr0:0.1 r1:0.4 r2:0.2 r3:0.8 V:1\nX:\n_p0:2\n_p1:3\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:8.4\nr0:0.0 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:2\n_p1:24\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:2\nY:10.6\nr0:0.0 r1:2.6 r2:1.5 r3:5.0 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V:0\nX:\n_p0:4\n_p1:8\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:120\n_p7:1\nY:10.4\nr0:0.1 r1:1.9 r2:1.1 r3:3.8 V:0\nX:\n_p0:4\n_p1:32\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:2\n_p7:1\nY:7.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:2\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:2\n_p7:8\nY:10.2\nr0:0.0 r1:0.4 r2:0.2 r3:0.4 V:1\nX:\n_p0:4\n_p1:1\n_p2:10\n_p3:10\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:8.4\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:24\n_p3:5\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.4\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:16\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:2\n_p7:1\nY:8.0\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:15\n_p2:1\n_p3:2\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:8.3\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:9.4\nr0:0.1 r1:1.0 r2:0.6 r3:1.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:6\n_p4:c\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:0\nX:\n_p0:4\n_p1:1\n_p2:10\n_p3:24\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:8.6\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:9.5\nr0:0.1 r1:0.8 r2:0.5 r3:1.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:120\n_p7:8\nY:8.3\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:15\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:11.1\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:4\n_p1:1\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:120\nY:8.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:12\n_p2:1\n_p3:20\n_p4:f\n_p5:o\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:3\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.1\nr0:0.0 r1:0.0 r2:0 r3:0.0 V:1\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:12\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:9.3\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:2\n_p1:1\n_p2:1\n_p3:20\n_p4:f\n_p5:c\n_p6:8\n_p7:120\nY:9.8\nr0:0.1 r1:0.2 r2:0.2 r3:0.4 V:1\nX:\n_p0:1\n_p1:24\n_p2:1\n_p3:5\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:11.1\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:4\n_p1:24\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:8.4\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:2\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:4\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:30\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:10.4\nr0:0.1 r1:0.2 r2:0.2 r3:0.2 V:1\nTY:10.1\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:20\n_p2:1\n_p3:4\n_p4:f\n_p5:c\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_syr2k(double alpha,double beta,double C[80][80],double A[80][60],double B[80][60])\n{\n  int i;\n  int j;\n  int k;\n//BLAS PARAMS\n//UPLO  = 'L'\n//TRANS = 'N'\n//A is NxM\n//B is NxM\n//C is NxN\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      if (j <= i) {\n        C[i][j] *= beta;\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p5}\n    \n#pragma ACCEL TILE FACTOR=auto{_p7}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (k = 0; k < 60; k++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        if (j <= i) {\n          C[i][j] += A[j][k] * alpha * B[i][k] + B[j][k] * alpha * A[i][k];\n        }\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:5\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:6\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.2\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:5\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:10\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.8\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:5\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:4\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:6.5\nr0:0.0 r1:0.3 r2:0.5 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:1\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:5\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:2.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:3\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:4\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.8\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:6\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.5\nr0:0.0 r1:0.3 r2:0.2 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:10\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:3\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.1 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:6.4\nr0:0.0 r1:0.3 r2:0.2 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:4\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:10\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:2\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:8\nY:6.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:20\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:10\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:2\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:2\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:2\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:32\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:2\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:5\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:16\n_p2:2\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:6\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:5.9\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:5\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.5\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.0\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:3\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.2\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:8\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:10\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.2\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:5\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:5\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:3\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:5.4\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:16\n_p4:c\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:8\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:60\nY:7.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:2\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:5\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:4\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:3\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:5.1\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:10\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:2\n_p2:4\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:5\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:3\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:2\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.9\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nTY:5.9\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:16\n_p2:1\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_trmm(double alpha,double A[60][60],double B[60][80])\n{\n//BLAS parameters\n//SIDE   = 'L'\n//UPLO   = 'L'\n//TRANSA = 'T'\n//DIAG   = 'U'\n// => Form  B := alpha*A**T*B.\n// A is MxM\n// B is MxN\n  \n#pragma ACCEL PIPELINE auto{_p3}\n  \n#pragma ACCEL TILE FACTOR=auto{_p5}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (int i = 0; i < 60; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p4}\n    \n#pragma ACCEL TILE FACTOR=auto{_p6}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (int j = 0; j < 80; j++) {\n      double sum = B[i][j];\n#pragma ACCEL PARALLEL reduction=sum FACTOR=auto{_p2}\n      for (int k = 0; k < 60; k++) {\n        if (k > i) {\n          sum += A[k][i] * B[k][j];\n        }\n      }\n      B[i][j] = alpha * sum;\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:4.2\nr0:0.0 r1:0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:10\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:8.5\nr0:0 r1:0.6 r2:0.3 r3:1.0 V:0\nX:\n_p0:1\n_p1:4\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:8.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.4 V:1\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:8.6\nr0:0 r1:1.2 r2:0.7 r3:1.9 V:0\nX:\n_p0:4\n_p1:16\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.7\nr0:0.0 r1:3.1 r2:14.8 r3:6.0 V:0\nX:\n_p0:1\n_p1:32\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:3\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.8\nr0:0.0 r1:1.2 r2:5.3 r3:2.3 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:8\nY:8.5\nr0:0 r1:0.6 r2:0.3 r3:1.0 V:0\nX:\n_p0:1\n_p1:20\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:8.6\nr0:0 r1:1.2 r2:0.7 r3:1.9 V:0\nX:\n_p0:1\n_p1:20\n_p2:20\n_p3:o\n_p4:c\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:16\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:6\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.1\nr0:0 r1:2.3 r2:11.0 r3:4.4 V:0\nX:\n_p0:1\n_p1:4\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.6\nr0:0 r1:1.2 r2:0.7 r3:1.9 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:8.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.4 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:5.0\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:10\n_p2:32\n_p3:o\n_p4:o\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:4\nY:8.6\nr0:0 r1:1.2 r2:0.7 r3:1.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:c\n_p5:60\n_p6:1\nY:10.1\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:5\n_p2:5\n_p3:o\n_p4:o\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:15\n_p3:o\n_p4:c\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:4.2\nr0:0.0 r1:0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:10\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:5\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:9.8\nr0:0.0 r1:0.6 r2:1.8 r3:1.0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:2.7\nr0:0.0 r1:0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:16\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:8.7\nr0:0.0 r1:0.9 r2:0.6 r3:1.5 V:0\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:8.2\nr0:0.0 r1:0.3 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:8\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:8.7\nr0:0.0 r1:0.5 r2:0.3 r3:0.8 V:1\nX:\n_p0:2\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.7\nr0:0 r1:1.1 r2:3.6 r3:1.9 V:0\nX:\n_p0:1\n_p1:10\n_p2:10\n_p3:o\n_p4:o\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:10\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:8.2\nr0:0.0 r1:0.3 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:4.4\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:3\n_p1:1\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:8.7\nr0:0.0 r1:0.9 r2:0.6 r3:1.5 V:0\nTY:8.7\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:8\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_trmm(double alpha,double A[60][60],double B[60][80])\n{\n//BLAS parameters\n//SIDE   = 'L'\n//UPLO   = 'L'\n//TRANSA = 'T'\n//DIAG   = 'U'\n// => Form  B := alpha*A**T*B.\n// A is MxM\n// B is MxN\n  \n#pragma ACCEL PIPELINE auto{_p3}\n  \n#pragma ACCEL TILE FACTOR=auto{_p5}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (int i = 0; i < 60; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p4}\n    \n#pragma ACCEL TILE FACTOR=auto{_p6}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (int j = 0; j < 80; j++) {\n      \n#pragma ACCEL PARALLEL reduction=B FACTOR=auto{_p2}\n      for (int k = 0; k < 60; k++) {\n        if (k > i) {\n          B[i][j] += A[k][i] * B[k][j];\n        }\n      }\n      B[i][j] = alpha * B[i][j];\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.2\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.2\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nTY:1.3\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:10\n_p3:o\n_p4:o\n_p5:1\n_p6:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_2mm(int ni,int nj,int nk,int nl,double alpha,double beta,double tmp[40][50],double A[40][70],double B[70][50],double C[50][80],double D[40][80])\n{\n  int i;\n  int j;\n  int k;\n  \n#pragma ACCEL PIPELINE auto{_p6}\n  \n#pragma ACCEL TILE FACTOR=auto{_p10}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 40; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p8}\n    \n#pragma ACCEL TILE FACTOR=auto{_p12}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (j = 0; j < 50; j++) {\n      tmp[i][j] = 0.0;\n      \n#pragma ACCEL PARALLEL reduction = tmp FACTOR=auto{_p4}\n      for (k = 0; k < 70; ++k) {\n        tmp[i][j] += alpha * A[i][k] * B[k][j];\n      }\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p7}\n  \n#pragma ACCEL TILE FACTOR=auto{_p11}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 40; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (j = 0; j < 80; j++) {\n      D[i][j] *= beta;\n      \n#pragma ACCEL PARALLEL reduction = D FACTOR=auto{_p5}\n      for (k = 0; k < 50; ++k) {\n        D[i][j] += tmp[i][k] * C[k][j];\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:2\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:2\n_p13:1\nY:3.6\nr0:0.0 r1:2.8 r2:1.9 r3:6.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:1\n_p5:2\n_p6:f\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.1\nr0:0.0 r1:2.4 r2:1.6 r3:5.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:10\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.9\nr0:0.0 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:8\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.3\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:10\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:4\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:32\n_p5:10\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.5\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:4\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.2\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:7\n_p5:16\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.5\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:4\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:50\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.4\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:f\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:40\n_p11:1\n_p12:1\n_p13:1\nY:3.5\nr0:0.0 r1:2.5 r2:1.6 r3:5.7 V:0\nTY:5.6\nTV:0\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:1\n_p5:25\n_p6:f\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_covariance(int m,int n,double float_n,double data[100][80],double cov[80][80],double mean[80])\n{\n  int i;\n  int j;\n  int k;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p6}\n  \n#pragma ACCEL TILE FACTOR=auto{_p10}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (j = 0; j < 80; j++) {\n    mean[j] = 0.0;\n    \n#pragma ACCEL PARALLEL reduction=mean FACTOR=auto{_p3}\n    for (i = 0; i < 100; i++) {\n      mean[j] += data[i][j];\n    }\n    mean[j] /= float_n;\n  }\n  \n#pragma ACCEL PIPELINE auto{_p7}\n  \n#pragma ACCEL TILE FACTOR=auto{_p11}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 100; i++) {\n    \n#pragma ACCEL PARALLEL reduction=data FACTOR=auto{_p4}\n    for (j = 0; j < 80; j++) {\n      data[i][j] -= mean[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    for (j = i; j < 80; j++) {\n      cov[i][j] = 0.0;\n      \n#pragma ACCEL PARALLEL reduction=cov FACTOR=auto{_p5}\n      for (k = 0; k < 100; k++) {\n        cov[i][j] += data[k][i] * data[k][j];\n      }\n      cov[i][j] /= float_n - 1.0;\n      cov[j][i] = cov[i][j];\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:32\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:80\n_p11:1\n_p12:1\nY:4.6\nr0:0.0 r1:0.5 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:25\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 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V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:4\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:2.9\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:20\n_p6:o\n_p7:o\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:20\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.8\nr0:0.0 r1:0.4 r2:0.2 r3:0.0 V:1\nX:\n_p0:8\n_p1:4\n_p2:20\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:2\n_p11:1\n_p12:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:2.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:16\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 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V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:o\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:1.5\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:5\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.2\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:8\n_p1:2\n_p2:10\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:8\nY:4.3\nr0:0.0 r1:0.3 r2:0.2 r3:0.1 V:1\nX:\n_p0:4\n_p1:2\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:8\n_p12:1\nY:3.6\nr0:0.0 r1:0.6 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:20\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.0\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:5\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:4\n_p2:10\n_p3:32\n_p4:1\n_p5:16\n_p6:c\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:80\n_p11:1\n_p12:80\nY:4.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:100\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:7.2\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:2\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:2.3\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:8\n_p1:4\n_p2:10\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:8\n_p11:1\n_p12:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:2\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:2.3\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:8\n_p1:1\n_p2:32\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:100\n_p12:1\nY:4.6\nr0:0.0 r1:0.5 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:10\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:2\n_p12:1\nY:3.7\nr0:0.1 r1:0.3 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:4\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.0\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:2\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:2.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:2\n_p1:1\n_p2:20\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:100\n_p12:4\nY:4.3\nr0:0.0 r1:0.5 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:4\n_p12:1\nY:3.3\nr0:0.1 r1:0.3 r2:0.3 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:10\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:32\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.6\nr0:0.0 r1:0.5 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:20\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.0\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:4\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nTY:4.3\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:2\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[120], double x2[120], double y_1[120], double y_2[120], double A[120][120])\n{\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 120; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 120; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:4\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:4\n_p1:8\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:4\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:8\nY:9.2\nr0:0.1 r1:0.6 r2:0.4 r3:1.0 V:0\nX:\n_p0:8\n_p1:15\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.3\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:20\n_p1:1\n_p2:24\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:11.2\nr0:0.0 r1:0.5 r2:0.4 r3:0.4 V:1\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:120\n_p7:1\nY:9.5\nr0:0.1 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:3\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:120\n_p7:1\nY:7.6\nr0:0.1 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:4\n_p1:24\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:8\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:15\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:8.2\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:20\n_p1:5\n_p2:24\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:8\nY:8.4\nr0:0.0 r1:0.8 r2:0.6 r3:1.2 V:0\nX:\n_p0:8\n_p1:5\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:10\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:8\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:12\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:2\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:3\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:12\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:120\n_p7:1\nY:10.4\nr0:0.1 r1:1.2 r2:0.7 r3:2.3 V:0\nX:\n_p0:1\n_p1:24\n_p2:1\n_p3:2\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:10.8\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:4\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:11.2\nr0:0.0 r1:0.5 r2:0.3 r3:0.8 V:1\nX:\n_p0:4\n_p1:3\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:2\nY:8.3\nr0:0.0 r1:0.7 r2:0.4 r3:1.4 V:0\nX:\n_p0:2\n_p1:1\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:8\n_p7:120\nY:9.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.4 V:1\nX:\n_p0:1\n_p1:4\n_p2:24\n_p3:1\n_p4:c\n_p5:f\n_p6:120\n_p7:1\nY:10.0\nr0:0.0 r1:0.5 r2:0.3 r3:0.8 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:8.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:2\n_p1:12\n_p2:1\n_p3:20\n_p4:f\n_p5:o\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:120\n_p7:1\nY:9.6\nr0:0.1 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:8\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:4\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:8.6\nr0:0.0 r1:0.8 r2:0.4 r3:1.5 V:0\nX:\n_p0:1\n_p1:10\n_p2:8\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:8.6\nr0:0.0 r1:1.0 r2:0.6 r3:1.9 V:0\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:8\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:8.3\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.4\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:30\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:8.8\nr0:0.0 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:8\n_p1:5\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:8\n_p4:c\n_p5:o\n_p6:1\n_p7:1\nY:7.2\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:20\n_p2:32\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:8.7\nTV:0\n", "outputs":"### outputs: _p0:1\n_p1:8\n_p2:4\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_trmm(double alpha,double A[60][60],double B[60][80])\n{\n//BLAS parameters\n//SIDE   = 'L'\n//UPLO   = 'L'\n//TRANSA = 'T'\n//DIAG   = 'U'\n// => Form  B := alpha*A**T*B.\n// A is MxM\n// B is MxN\n  \n#pragma ACCEL PIPELINE auto{_p3}\n  \n#pragma ACCEL TILE FACTOR=auto{_p5}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (int i = 0; i < 60; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p4}\n    \n#pragma ACCEL TILE FACTOR=auto{_p6}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (int j = 0; j < 80; j++) {\n      \n#pragma ACCEL PARALLEL reduction=B FACTOR=auto{_p2}\n      for (int k = 0; k < 60; k++) {\n        if (k > i) {\n          B[i][j] += A[k][i] * B[k][j];\n        }\n      }\n      B[i][j] = alpha * B[i][j];\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:5\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:8\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:4\n_p2:10\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:5\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:16\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:4\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:2\n_p1:16\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:32\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:1\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.2\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:2\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.2 r2:0.0 r3:0 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V:0\nX:\n_p0:1\n_p1:10\n_p2:10\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.2\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nTY:1.3\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[400],double x2[400],double y_1[400],double y_2[400],double A[400][400])\n{\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 400; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 400; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n}\n ```\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:8\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:16\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:7.7\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:32\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:1\n_p7:1\nY:7.0\nr0:0.3 r1:0.4 r2:0.2 r3:0.3 V:1\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:5\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:5.8\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:16\n_p1:16\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:1\n_p7:1\nY:7.1\nr0:0.4 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:5\n_p2:5\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:4.3\nr0:1.0 r1:1.5 r2:0.9 r3:3.2 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:25\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:5.1\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:400\n_p7:1\nY:8.0\nr0:0.2 r1:2.6 r2:1.6 r3:5.1 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:5\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.2 r1:0.4 r2:0.2 r3:0.7 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:6.6\nr0:0.2 r1:0.6 r2:0.3 r3:0.6 V:1\nX:\n_p0:4\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:400\nY:6.8\nr0:0.3 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.0\nr0:0.3 r1:0.1 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:2\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.1\nr0:0.2 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:2\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:8\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:4.9\nr0:0.2 r1:0.3 r2:0.2 r3:0.7 V:1\nX:\n_p0:8\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:25\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:4\n_p7:1\nY:6.3\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:10\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:5.5\nr0:0.2 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:2\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:5.3\nr0:0.3 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:2\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:7.2\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:32\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:1\nY:7.0\nr0:0.3 r1:0.4 r2:0.2 r3:0.3 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:20\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:7.3\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:25\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:7.4\nr0:0.4 r1:0.3 r2:0.2 r3:0.7 V:1\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:8\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:2\n_p1:16\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:6.1\nr0:0.5 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:2\n_p7:1\nY:5.9\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:400\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:1\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:4\n_p7:1\nY:5.4\nr0:0.5 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:16\n_p1:16\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:25\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:4.8\nr0:1.1 r1:1.5 r2:0.9 r3:3.2 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.2\nr0:0.1 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:4\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:2\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:25\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:4\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:2\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:4.3\nr0:0.3 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:32\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:400\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.6\nr0:0.2 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:5\n_p2:20\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:4.7\nr0:1.1 r1:1.5 r2:0.9 r3:3.2 V:0\nX:\n_p0:32\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:1\n_p7:400\nY:7.1\nr0:0.3 r1:0.4 r2:0.2 r3:0.3 V:1\nX:\n_p0:5\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:10\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.6\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:2\n_p2:4\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:4.9\nr0:0.1 r1:0.9 r2:0.5 r3:1.3 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:2\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:25\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:8.6\nr0:0.2 r1:0.4 r2:0.3 r3:0.7 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:1\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:10\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:1\nY:7.0\nr0:0.4 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:20\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.4 r1:0.3 r2:0.2 r3:0.7 V:1\nX:\n_p0:1\n_p1:2\n_p2:10\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:5.3\nr0:0.5 r1:0.6 r2:0.4 r3:1.3 V:0\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:1\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:3.4\nr0:0.2 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:10\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:1\nY:6.1\nr0:0.4 r1:0.1 r2:0.1 r3:0.3 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:10\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:3.4\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:6.5\nr0:0.5 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:16\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:6.5\nr0:0.2 r1:0.9 r2:0.5 r3:1.3 V:0\nX:\n_p0:16\n_p1:400\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:25\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:8.6\nr0:0.2 r1:0.5 r2:0.3 r3:0.8 V:1\nX:\n_p0:1\n_p1:1\n_p2:25\n_p3:400\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.7\nr0:0.4 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:4.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:6.0\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:25\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:4\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:20\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:7.8\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:3.5\nr0:0.2 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:4.3\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:16\n_p1:1\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:2\n_p7:8\nY:6.4\nr0:0.1 r1:0.4 r2:0.2 r3:0.0 V:1\nX:\n_p0:1\n_p1:25\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:400\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.8\nr0:0.4 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:25\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.2\nr0:0.2 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:5.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:5.3\nr0:0.5 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:10\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:7.2\nr0:0.3 r1:3.2 r2:1.9 r3:6.5 V:0\nTY:6.4\nTV:1\n", "outputs":"### outputs: _p0:10\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:8\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[400],double x2[400],double y_1[400],double y_2[400],double A[400][400])\n{\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 400; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 400; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n}\n ```\nX:\n_p0:20\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:4\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:5.3\nr0:0.1 r1:2.6 r2:1.5 r3:5.1 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:400\n_p7:1\nY:7.9\nr0:0.2 r1:0.6 r2:0.3 r3:0.6 V:1\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:400\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:25\n_p3:1\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:16\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:400\nY:7.2\nr0:0.3 r1:2.6 r2:1.5 r3:5.1 V:0\nX:\n_p0:25\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:8\n_p7:1\nY:6.4\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:2\n_p7:1\nY:6.7\nr0:0.1 r1:2.6 r2:1.5 r3:5.2 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.8\nr0:0.4 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:400\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:1\nX:\n_p0:1\n_p1:5\n_p2:5\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:4.3\nr0:1.0 r1:1.5 r2:0.9 r3:3.2 V:0\nX:\n_p0:32\n_p1:16\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:4\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.4\nr0:0.2 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:400\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:7.9\nr0:0.2 r1:1.6 r2:0.9 r3:2.6 V:0\nX:\n_p0:32\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.3\nr0:0.4 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:1\n_p2:16\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.0\nr0:0.3 r1:0.6 r2:0.3 r3:0.6 V:1\nX:\n_p0:25\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:4\n_p7:1\nY:5.4\nr0:0.5 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.8\nr0:0.4 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:8\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:400\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.9\nr0:0.2 r1:0.6 r2:0.3 r3:0.6 V:1\nX:\n_p0:1\n_p1:4\n_p2:2\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:4.2\nr0:0.1 r1:1.5 r2:0.8 r3:2.6 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:5\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:6.8\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:25\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:6.1\nr0:0.3 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:5\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:4.6\nr0:0.2 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:4\n_p7:1\nY:1.1\nr0:0.4 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:10\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:16\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:2\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:16\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.2 r1:0.3 r2:0.2 r3:0.7 V:1\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:2\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:16\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:8\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:7.8\nr0:0.3 r1:2.7 r2:1.6 r3:5.3 V:0\nX:\n_p0:5\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:6.9\nr0:0.3 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:400\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:4.1\nr0:0.1 r1:0.9 r2:0.5 r3:1.3 V:0\nX:\n_p0:8\n_p1:16\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:4\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:5\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:8\n_p7:1\nY:6.0\nr0:0.2 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:8\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:7.2\nr0:0.3 r1:2.5 r2:1.5 r3:5.2 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:25\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:8.6\nr0:0.2 r1:0.4 r2:0.2 r3:0.7 V:1\nX:\n_p0:4\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:1\n_p7:1\nY:6.9\nr0:0.3 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.6\nr0:0.2 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:20\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.1\nr0:0.4 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:8\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:3.5\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_trmm(double alpha,double A[60][60],double B[60][80])\n{\n//BLAS parameters\n//SIDE   = 'L'\n//UPLO   = 'L'\n//TRANSA = 'T'\n//DIAG   = 'U'\n// => Form  B := alpha*A**T*B.\n// A is MxM\n// B is MxN\n  \n#pragma ACCEL PIPELINE auto{_p3}\n  \n#pragma ACCEL TILE FACTOR=auto{_p5}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (int i = 0; i < 60; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p4}\n    \n#pragma ACCEL TILE FACTOR=auto{_p6}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (int j = 0; j < 80; j++) {\n      double sum = B[i][j];\n#pragma ACCEL PARALLEL reduction=sum FACTOR=auto{_p2}\n      for (int k = 0; k < 60; k++) {\n        if (k > i) {\n          sum += A[k][i] * B[k][j];\n        }\n      }\n      B[i][j] = alpha * sum;\n    }\n  }\n}\n ```\nX:\n_p0:4\n_p1:5\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:9.8\nr0:0.0 r1:1.0 r2:4.6 r3:1.9 V:0\nX:\n_p0:1\n_p1:20\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:8.6\nr0:0 r1:1.2 r2:0.7 r3:1.9 V:0\nTY:8.7\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[120], double x2[120], double y_1[120], double y_2[120], double A[120][120])\n{\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 120; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 120; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:10\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:8.4\nr0:0.0 r1:1.0 r2:0.6 r3:1.9 V:0\nX:\n_p0:8\n_p1:10\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:4\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:20\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:9.6\nr0:0.2 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.2\nr0:0.0 r1:0.0 r2:0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:30\n_p3:6\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:8.1\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:10\n_p4:c\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:32\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:3\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:2\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:8\n_p2:32\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:9.4\nr0:0.1 r1:0.8 r2:0.5 r3:1.6 V:0\nX:\n_p0:8\n_p1:5\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:2\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:3\n_p2:1\n_p3:120\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:8.4\nr0:0.1 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:20\n_p1:1\n_p2:24\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:8\nY:10.1\nr0:0.0 r1:0.4 r2:0.4 r3:0.2 V:1\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:12\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:9.3\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:8\n_p1:10\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:4\nY:8.7\nr0:0.1 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:8\n_p1:3\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:12\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:12\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:120\n_p7:1\nY:7.8\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:120\n_p7:1\nY:11.3\nr0:0.1 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:4\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:4\n_p7:8\nY:10.0\nr0:0.0 r1:0.5 r2:0.3 r3:0.8 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r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:120\n_p3:3\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:3\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:120\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:10.7\nr0:0.1 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:2\n_p1:12\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:8\n_p7:1\nY:10.2\nr0:0.0 r1:1.4 r2:0.8 r3:2.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:20\n_p4:f\n_p5:c\n_p6:120\n_p7:120\nY:9.9\nr0:0.2 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:30\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:9.8\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:20\n_p1:16\n_p2:24\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:10.8\nr0:0.0 r1:1.7 r2:1.0 r3:3.1 V:0\nX:\n_p0:1\n_p1:12\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:10.4\nr0:0.1 r1:1.2 r2:0.7 r3:2.3 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:20\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:10.4\nr0:0.2 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:10\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.9\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:4\n_p1:4\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:2\nY:10.8\nr0:0.0 r1:0.5 r2:0.3 r3:0.8 V:0\nX:\n_p0:4\n_p1:32\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:30\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:10.4\nr0:0.1 r1:0.2 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:12\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:120\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:16\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:5\n_p2:24\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:8.4\nr0:0.0 r1:0.8 r2:0.6 r3:1.2 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:30\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:10.1\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:5\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:9.2\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:3\n_p2:15\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:8.1\nr0:0.0 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:8.7\nr0:0.0 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:8\n_p1:6\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:12\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:120\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:1\n_p2:10\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.5\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:1\n_p2:10\n_p3:12\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.4\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:1\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:8\n_p7:120\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:8\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:8.8\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:8\n_p2:32\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:11.3\nr0:0.1 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:8\n_p1:15\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.3\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:8\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:12\n_p2:1\n_p3:5\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:10.1\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:30\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:120\n_p7:2\nY:8.2\nr0:0.0 r1:0.2 r2:0.1 r3:0.4 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:20\n_p4:f\n_p5:c\n_p6:2\n_p7:120\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:8.4\nTV:0\n", "outputs":"### outputs: _p0:1\n_p1:10\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:120\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_syr2k(double alpha,double beta,double C[80][80],double A[80][60],double B[80][60])\n{\n  int i;\n  int j;\n  int k;\n//BLAS PARAMS\n//UPLO  = 'L'\n//TRANS = 'N'\n//A is NxM\n//B is NxM\n//C is NxN\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      if (j <= i) {\n        C[i][j] *= beta;\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p5}\n    \n#pragma ACCEL TILE FACTOR=auto{_p7}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (k = 0; k < 60; k++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        if (j <= i) {\n          C[i][j] += A[j][k] * alpha * B[i][k] + B[j][k] * alpha * A[i][k];\n        }\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:5.9\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.2\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:5\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:5\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:60\nY:7.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:3\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:2\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:2.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:4\n_p2:4\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:8\nY:6.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:3\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:5\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.8\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:5\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:1\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:3\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:3\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:5\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:2\n_p2:3\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:4.3\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:2\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:3\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:6.3\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[60][80],double ey[60][80],double hz[60][80],double _fict_[40])\n{\n  int t;\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 40; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 60; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 60; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 1; j < 80; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n    for (i = 0; i < 59; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 79; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:c\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:79\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:2.9\nr0:0.0 r1:0.5 r2:0.2 r3:0.4 V:1\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:4\n_p5:1\n_p6:1\n_p7:1\n_p8:c\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:59\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:16\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:10\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:59\n_p14:60\n_p15:59\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:79\n_p8:o\n_p9:f\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:8.1\nr0:0.0 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:4\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.6\nr0:0.0 r1:1.2 r2:0.5 r3:0.9 V:0\nX:\n_p0:1\n_p1:16\n_p2:8\n_p3:1\n_p4:2\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.0 r1:1.4 r2:0.7 r3:1.3 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:79\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:8.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:16\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:4\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:2\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:2\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:59\n_p14:1\n_p15:1\nY:7.9\nr0:0.0 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:59\n_p14:60\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:16\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.0 r1:0.2 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:16\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.1\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:16\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:8.6\nr0:0.0 r1:0.4 r2:0.2 r3:0.2 V:1\nX:\n_p0:5\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:f\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:8\n_p8:o\n_p9:f\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.6\nr0:0.0 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:8\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:4\n_p5:1\n_p6:1\n_p7:1\n_p8:c\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:59\n_p14:1\n_p15:59\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:60\n_p15:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:59\n_p3:16\n_p4:4\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:8\nY:3.0\nr0:0.1 r1:0.8 r2:0.4 r3:0.7 V:1\nX:\n_p0:1\n_p1:2\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.6\nr0:0.0 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:60\n_p15:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:16\n_p3:16\n_p4:4\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:2\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:79\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:2.7\nr0:0.1 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:16\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:5\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:60\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.1\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:4\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.6\nr0:0.0 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:10\n_p1:16\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:60\n_p15:8\nY:3.1\nr0:0.1 r1:2.4 r2:1.2 r3:2.6 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:5\n_p1:1\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:4\n_p3:1\n_p4:2\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:2\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:10\n_p1:1\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:8\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:32\n_p1:16\n_p2:59\n_p3:16\n_p4:4\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:59\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:8\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.5\nr0:0.0 r1:1.3 r2:0.7 r3:0.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:32\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.1 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:8\nY:3.2\nr0:0.0 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:16\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:f\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:79\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.5\nr0:0.0 r1:1.3 r2:0.7 r3:0.9 V:0\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:4\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:c\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:8\nY:3.0\nr0:0.1 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:79\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.6\nr0:0.0 r1:1.3 r2:0.7 r3:0.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.7\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:79\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.5\nr0:0.0 r1:1.3 r2:0.7 r3:0.9 V:0\nX:\n_p0:1\n_p1:32\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.6\nr0:0.0 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:59\nY:5.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nTY:5.6\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:79\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[60][80],double ey[60][80],double hz[60][80],double _fict_[40])\n{\n  int t;\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 40; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 60; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 60; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 1; j < 80; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n    for (i = 0; i < 59; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 79; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:16\n_p2:4\n_p3:1\n_p4:2\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.0 r1:0.8 r2:0.5 r3:0.6 V:1\nTY:1.5\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:16\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[120], double x2[120], double y_1[120], double y_2[120], double A[120][120])\n{\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 120; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 120; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:4\n_p1:2\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:0\nX:\n_p0:1\n_p1:6\n_p2:1\n_p3:20\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:9.3\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:2\n_p1:16\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:2\nY:10.6\nr0:0.0 r1:1.8 r2:1.1 r3:3.5 V:0\nX:\n_p0:2\n_p1:10\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:4\nY:9.4\nr0:0.0 r1:1.1 r2:0.7 r3:2.3 V:0\nX:\n_p0:8\n_p1:10\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:6\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:10.3\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:6\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:9.3\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:8\n_p1:3\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:120\n_p7:1\nY:8.7\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:1\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:1\n_p7:120\nY:9.2\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:10\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:120\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:2\n_p2:24\n_p3:1\n_p4:c\n_p5:f\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:8.8\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:120\n_p4:c\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:2\n_p2:24\n_p3:1\n_p4:c\n_p5:f\n_p6:4\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:120\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:3\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:5\n_p2:24\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:8\nY:8.4\nr0:0.0 r1:0.8 r2:0.6 r3:1.2 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:6\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.4\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:6\n_p2:1\n_p3:2\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:8.8\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:3\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:4\n_p7:1\nY:9.5\nr0:0.0 r1:0.4 r2:0.2 r3:0.6 V:1\nX:\n_p0:8\n_p1:32\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:12\n_p2:1\n_p3:20\n_p4:f\n_p5:c\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:3\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:6.6\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:1\n_p2:8\n_p3:12\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:9.0\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:24\n_p4:c\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:2\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:9.0\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:30\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:8.3\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:6\n_p2:32\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:8.1\nTV:0\n", "outputs":"### outputs: _p0:1\n_p1:6\n_p2:15\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_covariance(int m,int n,double float_n,double data[100][80],double cov[80][80],double mean[80])\n{\n  int i;\n  int j;\n  int k;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p6}\n  \n#pragma ACCEL TILE FACTOR=auto{_p10}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (j = 0; j < 80; j++) {\n    mean[j] = 0.0;\n    \n#pragma ACCEL PARALLEL reduction=mean FACTOR=auto{_p3}\n    for (i = 0; i < 100; i++) {\n      mean[j] += data[i][j];\n    }\n    mean[j] /= float_n;\n  }\n  \n#pragma ACCEL PIPELINE auto{_p7}\n  \n#pragma ACCEL TILE FACTOR=auto{_p11}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 100; i++) {\n    \n#pragma ACCEL PARALLEL reduction=data FACTOR=auto{_p4}\n    for (j = 0; j < 80; j++) {\n      data[i][j] -= mean[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    for (j = i; j < 80; j++) {\n      cov[i][j] = 0.0;\n      \n#pragma ACCEL PARALLEL reduction=cov FACTOR=auto{_p5}\n      for (k = 0; k < 100; k++) {\n        cov[i][j] += data[k][i] * data[k][j];\n      }\n      cov[i][j] /= float_n - 1.0;\n      cov[j][i] = cov[i][j];\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:8\n_p1:1\n_p2:1\n_p3:32\n_p4:1\n_p5:1\n_p6:c\n_p7:f\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:16\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.5\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:4\n_p1:4\n_p2:10\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:4\n_p11:1\n_p12:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:4\n_p6:f\n_p7:o\n_p8:c\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:2\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:8\n_p12:1\nY:3.6\nr0:0.0 r1:1.3 r2:0.5 r3:0.8 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:5\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.1\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.2\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:2\n_p6:f\n_p7:o\n_p8:c\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:25\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.0\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:8\n_p1:25\n_p2:1\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:80\nY:4.3\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:20\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.0\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:16\n_p6:f\n_p7:o\n_p8:c\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:80\n_p11:100\n_p12:8\nY:4.3\nr0:0.0 r1:0.4 r2:0.1 r3:0.2 V:1\nX:\n_p0:8\n_p1:1\n_p2:20\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:c\n_p8:f\n_p9:o\n_p10:1\n_p11:100\n_p12:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:16\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.3\nr0:0.0 r1:0.4 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:4\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:2.9\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:2\n_p1:1\n_p2:1\n_p3:32\n_p4:1\n_p5:16\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:10\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.7\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:1\n_p4:1\n_p5:2\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:2\n_p2:2\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:8\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:2\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:1\n_p2:32\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:100\n_p12:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:4\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.1\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 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V:0\nX:\n_p0:2\n_p1:1\n_p2:10\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:100\n_p12:8\nY:4.3\nr0:0.0 r1:0.4 r2:0.2 r3:0.2 V:1\nX:\n_p0:8\n_p1:25\n_p2:32\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:8\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:10\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.6\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:32\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:4\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.0\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:8\n_p1:20\n_p2:10\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:8\nY:4.3\nr0:0.0 r1:0.4 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:2\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:2.3\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:8\n_p12:1\nY:1.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\nY:8.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:20\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:5\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.2\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:8\n_p1:2\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:4\n_p11:8\n_p12:80\nY:3.6\nr0:0.0 r1:0.6 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\nY:7.2\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:10\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.6\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:4\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.3\nr0:0.0 r1:0.3 r2:0.1 r3:0.2 V:1\nX:\n_p0:16\n_p1:1\n_p2:32\n_p3:32\n_p4:8\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.6\nr0:0.0 r1:0.5 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:100\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:5.0\nr0:0.1 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:1\n_p5:5\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.2\nr0:0.0 r1:0.2 r2:0.2 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:25\n_p6:o\n_p7:o\n_p8:c\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:20\n_p2:32\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.6\nr0:0.0 r1:0.5 r2:0.3 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:1\n_p5:10\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:4\n_p1:1\n_p2:32\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:100\n_p12:1\nY:4.6\nr0:0.0 r1:0.7 r2:0.3 r3:0.3 V:1\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.6\nr0:0.0 r1:0.5 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:2\n_p12:1\nY:2.3\nr0:0.0 r1:0.3 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:2\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:8\n_p1:25\n_p2:32\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.6\nr0:0.0 r1:0.6 r2:0.3 r3:0.2 V:1\nTY:4.6\nTV:1\n", "outputs":"### outputs: _p0:8\n_p1:1\n_p2:32\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:100\n_p12:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[400],double x2[400],double y_1[400],double y_2[400],double A[400][400])\n{\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 400; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 400; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:16\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:400\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:5.6\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:20\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:6.3\nr0:0.9 r1:0.7 r2:0.4 r3:1.3 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:10\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:5.3\nr0:0.5 r1:0.6 r2:0.4 r3:1.3 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:400\nY:7.2\nr0:0.5 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:2\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:5.6\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:2\nY:4.9\nr0:1.1 r1:1.8 r2:1.1 r3:3.8 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:5\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.2\nr0:0.2 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:20\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:20\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:6.2\nr0:0.9 r1:0.7 r2:0.4 r3:1.3 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.0\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:8\n_p2:10\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:5.3\nr0:0.1 r1:2.6 r2:1.5 r3:5.1 V:0\nX:\n_p0:2\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:7.2\nr0:0.6 r1:0.6 r2:0.4 r3:1.3 V:0\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:4\n_p7:1\nY:5.9\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:16\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:5\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:4.3\nr0:0.8 r1:1.2 r2:0.7 r3:2.6 V:0\nX:\n_p0:25\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:32\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:400\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:5\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:6.9\nr0:0.3 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:4\n_p2:5\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:4.4\nr0:0.8 r1:1.2 r2:0.7 r3:2.6 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:25\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:5.8\nr0:0.2 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:20\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:2\n_p7:400\nY:6.7\nr0:0.4 r1:0.2 r2:0.2 r3:0.5 V:1\nX:\n_p0:5\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:4\n_p7:1\nY:5.6\nr0:0.2 r1:0.1 r2:0.0 r3:0.1 V:1\nTY:5.9\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:10\n_p2:1\n_p3:16\n_p4:f\n_p5:c\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[200][240],double ey[200][240],double hz[200][240],double _fict_[100])\n{\n  int t;\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 100; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 240; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 0; j < 240; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (i = 0; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n      for (j = 1; j < 240; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 200 - 1; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 240 - 1; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:2\n_p8:o\n_p9:o\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:32\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.5 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:239\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.2\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:16\n_p8:o\n_p9:f\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:8\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.6 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:4\n_p8:o\n_p9:f\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-3.2\nr0:0.5 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:8\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.9\nr0:0.6 r1:0.7 r2:0.4 r3:0.5 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V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.2 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:8\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:f\n_p9:o\n_p10:o\n_p11:o\n_p12:8\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:2\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:1.5\nr0:0.7 r1:1.0 r2:0.7 r3:1.0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.4\nr0:0.5 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:16\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.5 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:1\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.3 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-0.2\nr0:0.2 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:20\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:3\n_p6:1\n_p7:2\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.2\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:4\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.5 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:1\n_p6:1\n_p7:16\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:16\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:32\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.5 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:8\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.3\nr0:0.6 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:239\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:2.6\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:32\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:16\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.2 r1:0.5 r2:0.3 r3:0.5 V:1\nTY:1.6\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:32\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[200][240],double ey[200][240],double hz[200][240],double _fict_[100])\n{\n  int t;\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 100; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 240; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 0; j < 240; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (i = 0; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n      for (j = 1; j < 240; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 200 - 1; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 240 - 1; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.2\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:32\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.3 r1:0.5 r2:0.3 r3:0.5 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V:1\nX:\n_p0:100\n_p1:16\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:32\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:4\n_p8:o\n_p9:f\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.5 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:100\n_p1:16\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:1\n_p7:16\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.7\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:1\n_p7:2\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:8\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.3\nr0:0.5 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:32\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:239\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.7\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:10\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:32\n_p8:o\n_p9:o\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:16\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.6\nr0:0.5 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:16\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:16\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:16\n_p1:32\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:8\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:4\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:32\n_p8:o\n_p9:f\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:200\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:1.2\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_trmm(double alpha,double A[60][60],double B[60][80])\n{\n//BLAS parameters\n//SIDE   = 'L'\n//UPLO   = 'L'\n//TRANSA = 'T'\n//DIAG   = 'U'\n// => Form  B := alpha*A**T*B.\n// A is MxM\n// B is MxN\n  \n#pragma ACCEL PIPELINE auto{_p3}\n  \n#pragma ACCEL TILE FACTOR=auto{_p5}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (int i = 0; i < 60; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p4}\n    \n#pragma ACCEL TILE FACTOR=auto{_p6}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (int j = 0; j < 80; j++) {\n      \n#pragma ACCEL PARALLEL reduction=B FACTOR=auto{_p2}\n      for (int k = 0; k < 60; k++) {\n        if (k > i) {\n          B[i][j] += A[k][i] * B[k][j];\n        }\n      }\n      B[i][j] = alpha * B[i][j];\n    }\n  }\n}\n ```\nX:\n_p0:2\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.2\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:2\n_p1:80\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:2\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.2\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:2\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:8\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:2\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.2\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:10\n_p2:6\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.2\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:5\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.2\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nTY:1.3\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:5\n_p3:o\n_p4:o\n_p5:1\n_p6:80\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_trmm(double alpha,double A[60][60],double B[60][80])\n{\n//BLAS parameters\n//SIDE   = 'L'\n//UPLO   = 'L'\n//TRANSA = 'T'\n//DIAG   = 'U'\n// => Form  B := alpha*A**T*B.\n// A is MxM\n// B is MxN\n  \n#pragma ACCEL PIPELINE auto{_p3}\n  \n#pragma ACCEL TILE FACTOR=auto{_p5}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (int i = 0; i < 60; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p4}\n    \n#pragma ACCEL TILE FACTOR=auto{_p6}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (int j = 0; j < 80; j++) {\n      double sum = B[i][j];\n#pragma ACCEL PARALLEL reduction=sum FACTOR=auto{_p2}\n      for (int k = 0; k < 60; k++) {\n        if (k > i) {\n          sum += A[k][i] * B[k][j];\n        }\n      }\n      B[i][j] = alpha * sum;\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:10.1\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:80\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:4.9\nr0:0.1 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:30\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:5.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:4.2\nr0:0.0 r1:0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:c\n_p5:60\n_p6:1\nY:10.1\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:20\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:4\nY:8.6\nr0:0 r1:1.2 r2:0.7 r3:1.9 V:0\nX:\n_p0:3\n_p1:4\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.6\nr0:0.0 r1:0.7 r2:5.0 r3:1.1 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.5\nr0:0 r1:0.6 r2:0.3 r3:1.0 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:5.0\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:80\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:4.9\nr0:0.1 r1:0.0 r2:0 r3:0 V:1\nTY:8.6\nTV:0\n", "outputs":"### outputs: _p0:1\n_p1:20\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_syr2k(double alpha,double beta,double C[80][80],double A[80][60],double B[80][60])\n{\n  int i;\n  int j;\n  int k;\n//BLAS PARAMS\n//UPLO  = 'L'\n//TRANS = 'N'\n//A is NxM\n//B is NxM\n//C is NxN\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      if (j <= i) {\n        C[i][j] *= beta;\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p5}\n    \n#pragma ACCEL TILE FACTOR=auto{_p7}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (k = 0; k < 60; k++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        if (j <= i) {\n          C[i][j] += A[j][k] * alpha * B[i][k] + B[j][k] * alpha * A[i][k];\n        }\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:4\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:1\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:2\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.2\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:10\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:3\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:2.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:4\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:6\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.8\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.2\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:8\nY:6.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:3\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.2\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:5\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:16\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.4\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:6\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:16\n_p4:c\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:4\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:4\n_p2:2\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.1 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:4\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:2\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:2\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:15\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:4\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:5\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:4\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:10\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.7\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:5\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:5\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:5\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.4\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:2\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.4\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.3\nr0:0.0 r1:0.0 r2:0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:3\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.7\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:5\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:6\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:2\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.2\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:2\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:4\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.4\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:5\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:4\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:8\nY:6.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.2\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:2\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:3\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:5.1\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nTY:5.9\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:8\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_trmm(double alpha,double A[60][60],double B[60][80])\n{\n//BLAS parameters\n//SIDE   = 'L'\n//UPLO   = 'L'\n//TRANSA = 'T'\n//DIAG   = 'U'\n// => Form  B := alpha*A**T*B.\n// A is MxM\n// B is MxN\n  \n#pragma ACCEL PIPELINE auto{_p3}\n  \n#pragma ACCEL TILE FACTOR=auto{_p5}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (int i = 0; i < 60; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p4}\n    \n#pragma ACCEL TILE FACTOR=auto{_p6}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (int j = 0; j < 80; j++) {\n      double sum = B[i][j];\n#pragma ACCEL PARALLEL reduction=sum FACTOR=auto{_p2}\n      for (int k = 0; k < 60; k++) {\n        if (k > i) {\n          sum += A[k][i] * B[k][j];\n        }\n      }\n      B[i][j] = alpha * sum;\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:4.5\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:3\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:o\n_p4:c\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:80\n_p2:3\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:30\n_p3:o\n_p4:c\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:8.2\nr0:0.0 r1:0.3 r2:0.2 r3:0.5 V:1\nX:\n_p0:2\n_p1:2\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.5\nr0:0.0 r1:0.4 r2:2.5 r3:0.4 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:5.0\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:4\n_p2:16\n_p3:o\n_p4:c\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:60\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:1\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:16\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:o\n_p4:c\n_p5:60\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:8.5\nr0:0 r1:0.6 r2:0.3 r3:1.0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:4.2\nr0:0.0 r1:0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:2\n_p2:60\n_p3:o\n_p4:c\n_p5:60\n_p6:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:10\n_p2:20\n_p3:o\n_p4:c\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:3\n_p3:o\n_p4:c\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:1\nX:\n_p0:1\n_p1:1\n_p2:30\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:5.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:o\n_p4:c\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:c\n_p5:60\n_p6:1\nY:10.1\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:3.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:15\n_p1:1\n_p2:32\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:5\n_p3:o\n_p4:o\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:8\n_p3:o\n_p4:c\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:8\n_p3:o\n_p4:c\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:3\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.8\nr0:0.0 r1:1.2 r2:5.3 r3:2.3 V:0\nX:\n_p0:10\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.9\nr0:0 r1:3.6 r2:16.1 r3:7.1 V:0\nX:\n_p0:1\n_p1:20\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:8.6\nr0:0 r1:1.2 r2:0.7 r3:1.9 V:0\nX:\n_p0:1\n_p1:8\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:8.7\nr0:0.0 r1:0.5 r2:0.3 r3:0.8 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:o\n_p4:c\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:c\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:8.2\nr0:0.0 r1:0.3 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:4.9\nr0:0.1 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.7\nr0:0.0 r1:0.9 r2:0.6 r3:1.5 V:0\nX:\n_p0:2\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:8.7\nr0:0.0 r1:0.5 r2:0.3 r3:0.8 V:1\nX:\n_p0:15\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:8.5\nr0:0 r1:0.6 r2:0.3 r3:1.0 V:0\nTY:11.7\nTV:0\n", "outputs":"### outputs: _p0:4\n_p1:16\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_trmm(double alpha,double A[60][60],double B[60][80])\n{\n//BLAS parameters\n//SIDE   = 'L'\n//UPLO   = 'L'\n//TRANSA = 'T'\n//DIAG   = 'U'\n// => Form  B := alpha*A**T*B.\n// A is MxM\n// B is MxN\n  \n#pragma ACCEL PIPELINE auto{_p3}\n  \n#pragma ACCEL TILE FACTOR=auto{_p5}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (int i = 0; i < 60; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p4}\n    \n#pragma ACCEL TILE FACTOR=auto{_p6}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (int j = 0; j < 80; j++) {\n      double sum = B[i][j];\n#pragma ACCEL PARALLEL reduction=sum FACTOR=auto{_p2}\n      for (int k = 0; k < 60; k++) {\n        if (k > i) {\n          sum += A[k][i] * B[k][j];\n        }\n      }\n      B[i][j] = alpha * sum;\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:2\n_p2:3\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:0\nX:\n_p0:2\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.7\nr0:0 r1:1.1 r2:3.6 r3:1.9 V:0\nX:\n_p0:2\n_p1:2\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.5\nr0:0.0 r1:0.4 r2:2.5 r3:0.4 V:0\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:4.9\nr0:0.1 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:3.9\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.6\nr0:0 r1:1.2 r2:0.7 r3:1.9 V:0\nX:\n_p0:1\n_p1:4\n_p2:2\n_p3:o\n_p4:c\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:4.0\nr0:0.0 r1:0 r2:0 r3:0 V:1\nX:\n_p0:4\n_p1:4\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.2\nr0:0.0 r1:0.9 r2:7.0 r3:1.5 V:0\nX:\n_p0:2\n_p1:4\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:80\nY:10.1\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 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V:0\nX:\n_p0:2\n_p1:16\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:8\nY:8.5\nr0:0 r1:0.6 r2:0.3 r3:1.0 V:0\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:4\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.1\nr0:0.0 r1:0.5 r2:2.6 r3:0.8 V:0\nX:\n_p0:1\n_p1:8\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:8.7\nr0:0.0 r1:0.5 r2:0.3 r3:0.8 V:1\nX:\n_p0:1\n_p1:32\n_p2:30\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:1\n_p2:32\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:2.7\nr0:0.0 r1:0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:3.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:3.9\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:2\n_p1:5\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:9.8\nr0:0.0 r1:0.6 r2:1.8 r3:1.0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:4.3\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.2\nr0:0.0 r1:0.3 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:5\n_p2:20\n_p3:o\n_p4:c\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:30\n_p3:o\n_p4:o\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:8.2\nr0:0.0 r1:0.3 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:4.8\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nTY:4.2\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[60][80],double ey[60][80],double hz[60][80],double _fict_[40])\n{\n  int t;\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 40; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 60; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 60; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 1; j < 80; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n    for (i = 0; i < 59; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 79; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:59\nY:5.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:16\n_p8:o\n_p9:f\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:4\n_p5:1\n_p6:1\n_p7:1\n_p8:c\n_p9:o\n_p10:f\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:32\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:79\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:8\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.6\nr0:0.0 r1:2.4 r2:1.3 r3:1.8 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:4\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.6\nr0:0.0 r1:1.3 r2:0.7 r3:0.9 V:0\nX:\n_p0:1\n_p1:16\n_p2:4\n_p3:1\n_p4:2\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.0 r1:0.8 r2:0.5 r3:0.6 V:1\nX:\n_p0:5\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.6\nr0:0.0 r1:1.3 r2:0.7 r3:0.9 V:0\nX:\n_p0:20\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:59\n_p14:60\n_p15:1\nY:3.8\nr0:0.0 r1:0.7 r2:0.4 r3:0.5 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V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:16\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:3\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:32\n_p4:1\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.7\nr0:0.0 r1:0.4 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:79\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:60\n_p15:8\nY:3.1\nr0:0.1 r1:2.4 r2:1.2 r3:2.6 V:0\nX:\n_p0:1\n_p1:4\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.6\nr0:0.0 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:16\n_p1:1\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:79\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:4.5\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:2\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[120], double x2[120], double y_1[120], double y_2[120], double A[120][120])\n{\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 120; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 120; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:2\n_p1:32\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:2\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:120\n_p7:2\nY:3.6\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:15\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.5\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:2\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:11.3\nr0:0.0 r1:0.5 r2:0.3 r3:0.8 V:1\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:120\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.2 r1:0.4 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:4\n_p2:12\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:9.3\nr0:0.0 r1:0.4 r2:0.2 r3:0.8 V:1\nX:\n_p0:20\n_p1:2\n_p2:24\n_p3:1\n_p4:c\n_p5:f\n_p6:4\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:2\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:2\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:3\n_p2:32\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:1\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.8\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:2\nY:10.5\nr0:0.1 r1:0.9 r2:0.6 r3:1.7 V:0\nX:\n_p0:1\n_p1:20\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:9.0\nr0:0.0 r1:1.9 r2:1.1 r3:3.8 V:0\nX:\n_p0:4\n_p1:16\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:1\n_p7:1\nY:8.6\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:15\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:8.4\nr0:0.0 r1:1.5 r2:0.9 r3:2.9 V:0\nX:\n_p0:1\n_p1:15\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:120\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:120\n_p7:2\nY:10.8\nr0:0.1 r1:0.2 r2:0.2 r3:0.2 V:1\nX:\n_p0:8\n_p1:3\n_p2:32\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:2\nY:7.5\nr0:0.0 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.8\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:20\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:9.9\nr0:0.2 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:4\n_p1:1\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:2\n_p7:120\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:1\nX:\n_p0:8\n_p1:12\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:32\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:7.9\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:8\n_p1:5\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:8\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:16\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:15\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:8.2\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:3\n_p2:1\n_p3:15\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:8.3\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:12\n_p2:1\n_p3:15\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:10.3\nr0:0.2 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:3\n_p2:1\n_p3:120\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:8.4\nr0:0.1 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:8\n_p1:10\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:8\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:10\n_p3:15\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.7\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:20\n_p4:c\n_p5:o\n_p6:1\n_p7:1\nY:7.3\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:32\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:120\n_p7:1\nY:8.0\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:3\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:120\n_p7:4\nY:8.4\nr0:0.1 r1:0.4 r2:0.2 r3:0.8 V:1\nX:\n_p0:1\n_p1:2\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:30\n_p3:3\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nTY:8.4\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:4\n_p2:6\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_trmm(double alpha,double A[60][60],double B[60][80])\n{\n//BLAS parameters\n//SIDE   = 'L'\n//UPLO   = 'L'\n//TRANSA = 'T'\n//DIAG   = 'U'\n// => Form  B := alpha*A**T*B.\n// A is MxM\n// B is MxN\n  \n#pragma ACCEL PIPELINE auto{_p3}\n  \n#pragma ACCEL TILE FACTOR=auto{_p5}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (int i = 0; i < 60; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p4}\n    \n#pragma ACCEL TILE FACTOR=auto{_p6}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (int j = 0; j < 80; j++) {\n      double sum = B[i][j];\n#pragma ACCEL PARALLEL reduction=sum FACTOR=auto{_p2}\n      for (int k = 0; k < 60; k++) {\n        if (k > i) {\n          sum += A[k][i] * B[k][j];\n        }\n      }\n      B[i][j] = alpha * sum;\n    }\n  }\n}\n ```\nX:\n_p0:15\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.6\nr0:0 r1:2.0 r2:9.3 r3:3.7 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:8.7\nr0:0.0 r1:0.9 r2:0.6 r3:1.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:4.9\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:6\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:4.9\nr0:0.1 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:16\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:8.7\nr0:0.0 r1:0.9 r2:0.6 r3:1.5 V:0\nX:\n_p0:1\n_p1:32\n_p2:12\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:2\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.5\nr0:0.0 r1:0.5 r2:6.7 r3:0.7 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:o\n_p4:o\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:6\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.1\nr0:0 r1:2.3 r2:11.0 r3:4.4 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:8.7\nr0:0.0 r1:0.5 r2:0.3 r3:0.8 V:1\nX:\n_p0:1\n_p1:8\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:4.5\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:5.0\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:30\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:5.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:16\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.7\nr0:0.0 r1:0.5 r2:0.3 r3:0.8 V:1\nX:\n_p0:20\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:4.2\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:8\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:8.7\nr0:0.0 r1:0.5 r2:0.3 r3:0.8 V:1\nX:\n_p0:2\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.4\nr0:0.0 r1:0.9 r2:2.9 r3:1.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:30\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:5.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:2\n_p3:o\n_p4:c\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:8.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.4 V:1\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:5.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:60\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:8.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.4 V:1\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:8\nY:8.5\nr0:0 r1:0.6 r2:0.3 r3:1.0 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:4.5\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:2\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.7\nr0:0 r1:1.1 r2:3.6 r3:1.9 V:0\nX:\n_p0:1\n_p1:2\n_p2:12\n_p3:c\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:80\n_p2:5\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:80\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:8\nY:8.5\nr0:0 r1:0.6 r2:0.3 r3:1.0 V:0\nX:\n_p0:1\n_p1:2\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:8.2\nr0:0.0 r1:0.3 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:2\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:4.3\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.5\nr0:0 r1:0.6 r2:0.3 r3:1.0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.7\nr0:0.0 r1:0.9 r2:0.6 r3:1.5 V:0\nX:\n_p0:1\n_p1:2\n_p2:4\n_p3:o\n_p4:c\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:4.0\nr0:0.0 r1:0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:8\nY:8.5\nr0:0 r1:0.6 r2:0.3 r3:1.0 V:0\nX:\n_p0:1\n_p1:2\n_p2:5\n_p3:o\n_p4:c\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:20\n_p3:o\n_p4:c\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:30\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:5.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:60\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:10\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:8.5\nr0:0 r1:0.6 r2:0.3 r3:1.0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:4.3\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:4.9\nr0:0.1 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:20\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:4\nY:8.6\nr0:0 r1:1.2 r2:0.7 r3:1.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:4.2\nr0:0.0 r1:0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:10\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:8.5\nr0:0 r1:0.6 r2:0.3 r3:1.0 V:0\nX:\n_p0:12\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.0\nr0:0.0 r1:4.2 r2:17.6 r3:8.4 V:0\nX:\n_p0:1\n_p1:2\n_p2:30\n_p3:o\n_p4:o\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:16\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.7\nr0:0.0 r1:3.1 r2:14.8 r3:6.0 V:0\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:3.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nTY:2.7\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:o\n_p5:1\n_p6:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_covariance(int m,int n,double float_n,double data[100][80],double cov[80][80],double mean[80])\n{\n  int i;\n  int j;\n  int k;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p6}\n  \n#pragma ACCEL TILE FACTOR=auto{_p10}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (j = 0; j < 80; j++) {\n    mean[j] = 0.0;\n    \n#pragma ACCEL PARALLEL reduction=mean FACTOR=auto{_p3}\n    for (i = 0; i < 100; i++) {\n      mean[j] += data[i][j];\n    }\n    mean[j] /= float_n;\n  }\n  \n#pragma ACCEL PIPELINE auto{_p7}\n  \n#pragma ACCEL TILE FACTOR=auto{_p11}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 100; i++) {\n    \n#pragma ACCEL PARALLEL reduction=data FACTOR=auto{_p4}\n    for (j = 0; j < 80; j++) {\n      data[i][j] -= mean[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    for (j = i; j < 80; j++) {\n      cov[i][j] = 0.0;\n      \n#pragma ACCEL PARALLEL reduction=cov FACTOR=auto{_p5}\n      for (k = 0; k < 100; k++) {\n        cov[i][j] += data[k][i] * data[k][j];\n      }\n      cov[i][j] /= float_n - 1.0;\n      cov[j][i] = cov[i][j];\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:16\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.5\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:4\n_p6:f\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:o\n_p9:c\n_p10:1\n_p11:8\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:8\n_p12:1\nY:3.3\nr0:0.0 r1:0.3 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:16\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.4\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:4\n_p2:20\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:8\n_p12:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:20\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:5\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:2\n_p12:1\nY:3.0\nr0:0.0 r1:0.2 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:4\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:1\n_p3:32\n_p4:1\n_p5:16\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.8\nr0:0.0 r1:0.4 r2:0.1 r3:0.0 V:1\nX:\n_p0:8\n_p1:2\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:2\n_p11:8\n_p12:80\nY:3.6\nr0:0.0 r1:0.5 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:1\n_p5:25\n_p6:f\n_p7:f\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:10\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.7\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.3\nr0:0.0 r1:0.3 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:1.5\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:2\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:2.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:8\n_p1:5\n_p2:1\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:80\nY:4.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.4\nr0:0.0 r1:0.4 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:o\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:25\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.0\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:10\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.7\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:32\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:5\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:32\n_p1:1\n_p2:32\n_p3:32\n_p4:8\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:10\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:16\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:8\n_p1:20\n_p2:10\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:8\nY:4.3\nr0:0.0 r1:0.4 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:5\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.2\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nTY:4.3\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:4\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_syr2k(double alpha,double beta,double C[80][80],double A[80][60],double B[80][60])\n{\n  int i;\n  int j;\n  int k;\n//BLAS PARAMS\n//UPLO  = 'L'\n//TRANS = 'N'\n//A is NxM\n//B is NxM\n//C is NxN\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      if (j <= i) {\n        C[i][j] *= beta;\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p5}\n    \n#pragma ACCEL TILE FACTOR=auto{_p7}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (k = 0; k < 60; k++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        if (j <= i) {\n          C[i][j] += A[j][k] * alpha * B[i][k] + B[j][k] * alpha * A[i][k];\n        }\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:2\n_p2:6\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:5\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:6\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:8\nY:6.2\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:2\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:5\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:1\nX:\n_p0:1\n_p1:2\n_p2:3\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:6.2\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:2\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:10\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:2\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:5\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:15\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:2\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:2\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:5\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:8\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.4\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:1\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:6.4\nr0:0.0 r1:0.3 r2:0.2 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:6.5\nr0:0.0 r1:0.3 r2:0.5 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:4\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:1\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.2\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:16\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:4\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:5\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.4\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:6\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:5.7\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:5.9\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.2\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:32\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:6\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:5\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:3\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:5\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:2.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.2\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:5\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nTY:7.1\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:60\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_trmm(double alpha,double A[60][60],double B[60][80])\n{\n//BLAS parameters\n//SIDE   = 'L'\n//UPLO   = 'L'\n//TRANSA = 'T'\n//DIAG   = 'U'\n// => Form  B := alpha*A**T*B.\n// A is MxM\n// B is MxN\n  \n#pragma ACCEL PIPELINE auto{_p3}\n  \n#pragma ACCEL TILE FACTOR=auto{_p5}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (int i = 0; i < 60; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p4}\n    \n#pragma ACCEL TILE FACTOR=auto{_p6}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (int j = 0; j < 80; j++) {\n      double sum = B[i][j];\n#pragma ACCEL PARALLEL reduction=sum FACTOR=auto{_p2}\n      for (int k = 0; k < 60; k++) {\n        if (k > i) {\n          sum += A[k][i] * B[k][j];\n        }\n      }\n      B[i][j] = alpha * sum;\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:5.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:32\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:5.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:10\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.6\nr0:0 r1:2.0 r2:9.3 r3:3.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:4.2\nr0:0.0 r1:0 r2:0 r3:0 V:1\nX:\n_p0:8\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:2\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:4.9\nr0:0.1 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:3\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.4\nr0:0.0 r1:1.5 r2:6.6 r3:2.8 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:8.7\nr0:0.0 r1:0.9 r2:0.6 r3:1.5 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:8.5\nr0:0 r1:0.6 r2:0.3 r3:1.0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:4.8\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:4\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.6\nr0:0.0 r1:1.6 r2:7.4 r3:3.0 V:0\nX:\n_p0:1\n_p1:8\n_p2:20\n_p3:o\n_p4:c\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:10\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.9\nr0:0 r1:3.6 r2:16.1 r3:7.1 V:0\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:4.9\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:20\n_p2:8\n_p3:o\n_p4:c\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:4.2\nr0:0.0 r1:0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:5.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nTY:10.3\nTV:0\n", "outputs":"### outputs: _p0:3\n_p1:2\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[200][240],double ey[200][240],double hz[200][240],double _fict_[100])\n{\n  int t;\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 100; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 240; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 0; j < 240; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (i = 0; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n      for (j = 1; j < 240; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 200 - 1; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 240 - 1; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:239\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.7\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:2\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.2\nr0:0.5 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:25\n_p1:16\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:199\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:16\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nTY:0.7\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:239\n_p7:2\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_trmm(double alpha,double A[60][60],double B[60][80])\n{\n//BLAS parameters\n//SIDE   = 'L'\n//UPLO   = 'L'\n//TRANSA = 'T'\n//DIAG   = 'U'\n// => Form  B := alpha*A**T*B.\n// A is MxM\n// B is MxN\n  \n#pragma ACCEL PIPELINE auto{_p3}\n  \n#pragma ACCEL TILE FACTOR=auto{_p5}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (int i = 0; i < 60; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p4}\n    \n#pragma ACCEL TILE FACTOR=auto{_p6}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (int j = 0; j < 80; j++) {\n      \n#pragma ACCEL PARALLEL reduction=B FACTOR=auto{_p2}\n      for (int k = 0; k < 60; k++) {\n        if (k > i) {\n          B[i][j] += A[k][i] * B[k][j];\n        }\n      }\n      B[i][j] = alpha * B[i][j];\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:2\n_p2:12\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.2\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:3\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:8\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:30\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:20\n_p2:5\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:30\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:8\n_p2:5\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:60\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:10\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:4\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.2\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:10\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:15\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 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V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:5\n_p2:30\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:4\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:10\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:30\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:2\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:10\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:5\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:c\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:4\n_p2:2\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:4\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:3\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:1.2\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:80\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[200][240],double ey[200][240],double hz[200][240],double _fict_[100])\n{\n  int t;\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 100; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 240; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 0; j < 240; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (i = 0; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n      for (j = 1; j < 240; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 200 - 1; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 240 - 1; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:32\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.6 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.3 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:16\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:32\n_p7:16\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:4\n_p8:o\n_p9:o\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:199\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:-0.4\nr0:0.3 r1:0.1 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:5\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.5 r1:0.9 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.6 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:5\n_p6:1\n_p7:8\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:2\n_p1:1\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:239\n_p7:16\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.2\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:32\n_p1:16\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:3\n_p6:1\n_p7:2\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.2\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.5 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:32\n_p2:32\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-0.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.3\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:1\n_p7:32\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:5\n_p6:1\n_p7:16\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:1\n_p6:1\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-0.0\nr0:0.1 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:8\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:16\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:199\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.5 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:239\n_p7:8\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.2\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:16\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.3\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.2 r1:0.5 r2:0.3 r3:0.5 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V:0\nX:\n_p0:8\n_p1:16\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.6 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.9\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:4\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:f\n_p9:o\n_p10:o\n_p11:o\n_p12:2\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:1\n_p6:1\n_p7:239\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:1\n_p6:1\n_p7:239\n_p8:o\n_p9:f\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.3\nr0:0.8 r1:1.8 r2:1.4 r3:1.4 V:0\nX:\n_p0:1\n_p1:16\n_p2:199\n_p3:4\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:199\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-3.2\nr0:0.9 r1:0.6 r2:0.4 r3:0.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:25\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:16\n_p8:o\n_p9:f\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:4\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.2\nr0:0.5 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:1\n_p7:8\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.9\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.5 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:2\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-3.2\nr0:0.9 r1:0.9 r2:0.6 r3:1.0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:1\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:239\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:2.0\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nTY:0.6\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:4\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_syr2k(double alpha,double beta,double C[80][80],double A[80][60],double B[80][60])\n{\n  int i;\n  int j;\n  int k;\n//BLAS PARAMS\n//UPLO  = 'L'\n//TRANS = 'N'\n//A is NxM\n//B is NxM\n//C is NxN\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      if (j <= i) {\n        C[i][j] *= beta;\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p5}\n    \n#pragma ACCEL TILE FACTOR=auto{_p7}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (k = 0; k < 60; k++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        if (j <= i) {\n          C[i][j] += A[j][k] * alpha * B[i][k] + B[j][k] * alpha * A[i][k];\n        }\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.2\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:4\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:5.4\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:2\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:5\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.9\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:16\n_p2:3\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.4\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:15\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:2\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:4\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.1 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:10\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:4\n_p2:3\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:6\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:2\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:2\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:3\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 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V:1\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:1\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:6.2\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:6.5\nr0:0.0 r1:0.3 r2:0.5 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:3\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.4\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:5\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.4\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:5\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:2.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:2\n_p2:3\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:4.3\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:8\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:1\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:10\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:1\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.2\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.1 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.4\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:4\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:80\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:4\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:10\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:2\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:6\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:6\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.8\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:4\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:6\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.2\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:5\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:6\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:3\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:7.5\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:2\n_p2:5\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[400],double x2[400],double y_1[400],double y_2[400],double A[400][400])\n{\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 400; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 400; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:7.8\nr0:0.4 r1:0.5 r2:0.3 r3:0.8 V:1\nX:\n_p0:4\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:3.4\nr0:0.1 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:2\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:10\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:5.3\nr0:0.5 r1:0.6 r2:0.4 r3:1.3 V:0\nX:\n_p0:1\n_p1:1\n_p2:25\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:4.5\nr0:0.3 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:2\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:4.5\nr0:0.1 r1:2.6 r2:1.5 r3:5.1 V:0\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:8\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:16\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:4\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:5.3\nr0:0.1 r1:2.6 r2:1.5 r3:5.1 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:7.1\nr0:0.5 r1:0.3 r2:0.2 r3:0.7 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.8\nr0:0.2 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:400\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:8\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:6.0\nr0:0.1 r1:1.5 r2:0.8 r3:2.6 V:0\nX:\n_p0:2\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:7.9\nr0:0.4 r1:0.9 r2:0.5 r3:1.3 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:400\n_p7:1\nY:6.6\nr0:0.2 r1:0.6 r2:0.3 r3:0.6 V:1\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.1\nr0:0.5 r1:0.1 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:25\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:3.5\nr0:0.3 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:10\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:6.9\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:20\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.1\nr0:0.4 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:4\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.2 r1:0.4 r2:0.2 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V:0\nX:\n_p0:1\n_p1:2\n_p2:4\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:4.9\nr0:0.1 r1:0.9 r2:0.5 r3:1.3 V:0\nX:\n_p0:25\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:8\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:5\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:4.3\nr0:0.8 r1:1.2 r2:0.7 r3:2.6 V:0\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:2\n_p7:1\nY:5.6\nr0:0.3 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:2\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:6.6\nr0:0.3 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:4\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:4.8\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:2\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:3.9\nr0:0.1 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:32\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:10\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:6.8\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:6.3\nr0:0.9 r1:0.4 r2:0.2 r3:0.6 V:0\nX:\n_p0:16\n_p1:1\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:7.8\nr0:0.3 r1:0.8 r2:0.4 r3:0.8 V:1\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:8\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:16\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:2\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:3.5\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:16\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:1\nY:6.8\nr0:0.3 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:25\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:8\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:400\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:6.0\nr0:0.2 r1:3.2 r2:2.0 r3:6.4 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:6.6\nr0:0.2 r1:0.6 r2:0.3 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:5\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:4.6\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.8\nr0:0.2 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:8\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:4\n_p2:400\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.9\nr0:0.2 r1:1.5 r2:0.8 r3:2.6 V:0\nTY:5.3\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:2\n_p2:1\n_p3:2\n_p4:f\n_p5:c\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[120], double x2[120], double y_1[120], double y_2[120], double A[120][120])\n{\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 120; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 120; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:4\n_p1:2\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:30\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:5\n_p2:24\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:8\nY:8.4\nr0:0.0 r1:0.8 r2:0.6 r3:1.2 V:0\nX:\n_p0:8\n_p1:1\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:120\nY:9.7\nr0:0.0 r1:0.8 r2:0.5 r3:1.5 V:0\nX:\n_p0:2\n_p1:1\n_p2:10\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:8.2\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:1\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:3\n_p2:32\n_p3:1\n_p4:c\n_p5:f\n_p6:4\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:5\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:4\n_p2:24\n_p3:1\n_p4:o\n_p5:f\n_p6:2\n_p7:4\nY:10.0\nr0:0.0 r1:0.9 r2:0.5 r3:1.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:120\n_p3:4\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:8.5\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:5\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:4\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:20\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:9.5\nr0:0.0 r1:0.8 r2:0.5 r3:1.6 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:30\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:8\n_p4:c\n_p5:o\n_p6:1\n_p7:1\nY:7.2\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.0\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:10\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.2\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:3\n_p2:1\n_p3:16\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:8\n_p3:30\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:9.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:15\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:8.4\nr0:0.0 r1:1.5 r2:0.9 r3:2.9 V:0\nX:\n_p0:8\n_p1:3\n_p2:32\n_p3:1\n_p4:c\n_p5:f\n_p6:8\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:0\nX:\n_p0:3\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:4\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:12\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:120\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:1\n_p2:1\n_p3:20\n_p4:f\n_p5:c\n_p6:8\n_p7:120\nY:9.8\nr0:0.1 r1:0.2 r2:0.2 r3:0.4 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:8\n_p7:120\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:12\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:2\nY:8.8\nr0:0.1 r1:0.1 r2:0.0 r3:0.2 V:1\nX:\n_p0:8\n_p1:2\n_p2:32\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:3\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:2\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:3\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:7.5\nr0:0.0 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:3\n_p2:1\n_p3:3\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:8.0\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:8\n_p1:15\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:9.3\nr0:0.0 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:8\n_p1:20\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:8\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:12\n_p2:1\n_p3:20\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:10.3\nr0:0.1 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:8\n_p1:1\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:2\n_p7:120\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:24\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:11.1\nr0:0.2 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:8\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:120\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:1\n_p2:12\n_p3:15\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.7\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:10\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:120\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:4\n_p4:c\n_p5:o\n_p6:1\n_p7:1\nY:7.0\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:16\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:12\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:8.4\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:4\n_p1:32\n_p2:1\n_p3:16\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:3\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:1\n_p2:12\n_p3:12\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.8\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:10\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.4\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:2\n_p1:6\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:4\n_p7:8\nY:8.6\nr0:0.0 r1:0.7 r2:0.4 r3:1.4 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:6\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:9.6\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:8\n_p1:2\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:1\n_p7:2\nY:3.7\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:16\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:2\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:1\n_p2:10\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:8.6\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:2\n_p1:4\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:4\n_p7:2\nY:10.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:8\n_p1:2\n_p2:32\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:8\nY:9.1\nr0:0.1 r1:0.4 r2:0.2 r3:0.4 V:1\nX:\n_p0:8\n_p1:6\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:4\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:2\n_p2:24\n_p3:1\n_p4:c\n_p5:f\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:3\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:120\n_p7:8\nY:8.4\nr0:0.1 r1:0.4 r2:0.2 r3:0.8 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:15\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:8.4\nr0:0.0 r1:1.5 r2:0.9 r3:2.9 V:0\nX:\n_p0:4\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:9.6\nr0:0.0 r1:0.4 r2:0.3 r3:0.8 V:0\nX:\n_p0:1\n_p1:3\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:120\n_p7:4\nY:7.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:8\n_p1:6\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:1\n_p7:1\nY:9.1\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:5\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:120\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:4\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:4\n_p7:8\nY:10.5\nr0:0.0 r1:1.0 r2:0.6 r3:1.7 V:0\nX:\n_p0:8\n_p1:10\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:4\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:24\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:11.3\nr0:0.0 r1:2.3 r2:1.4 r3:4.6 V:0\nX:\n_p0:8\n_p1:5\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:5\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:8.3\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nTY:8.9\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:2\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:120\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_covariance(int m,int n,double float_n,double data[100][80],double cov[80][80],double mean[80])\n{\n  int i;\n  int j;\n  int k;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p6}\n  \n#pragma ACCEL TILE FACTOR=auto{_p10}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (j = 0; j < 80; j++) {\n    mean[j] = 0.0;\n    \n#pragma ACCEL PARALLEL reduction=mean FACTOR=auto{_p3}\n    for (i = 0; i < 100; i++) {\n      mean[j] += data[i][j];\n    }\n    mean[j] /= float_n;\n  }\n  \n#pragma ACCEL PIPELINE auto{_p7}\n  \n#pragma ACCEL TILE FACTOR=auto{_p11}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 100; i++) {\n    \n#pragma ACCEL PARALLEL reduction=data FACTOR=auto{_p4}\n    for (j = 0; j < 80; j++) {\n      data[i][j] -= mean[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    for (j = i; j < 80; j++) {\n      cov[i][j] = 0.0;\n      \n#pragma ACCEL PARALLEL reduction=cov FACTOR=auto{_p5}\n      for (k = 0; k < 100; k++) {\n        cov[i][j] += data[k][i] * data[k][j];\n      }\n      cov[i][j] /= float_n - 1.0;\n      cov[j][i] = cov[i][j];\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:c\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:20\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:20\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.0\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:25\n_p6:f\n_p7:f\n_p8:o\n_p9:c\n_p10:1\n_p11:4\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:8\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:f\n_p7:f\n_p8:c\n_p9:c\n_p10:1\n_p11:2\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:10\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:2\n_p12:1\nY:3.7\nr0:0.1 r1:0.3 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:80\n_p11:1\n_p12:80\nY:4.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:5\n_p6:f\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:16\n_p2:1\n_p3:32\n_p4:1\n_p5:16\n_p6:c\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.8\nr0:0.0 r1:1.2 r2:0.5 r3:0.6 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:f\n_p7:f\n_p8:c\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:32\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:100\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:7.1\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:8\n_p1:2\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:2\n_p11:8\n_p12:80\nY:3.6\nr0:0.0 r1:0.5 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:100\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:7.2\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:4\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:2\n_p12:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:4\n_p2:1\n_p3:32\n_p4:1\n_p5:16\n_p6:c\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:80\nY:3.8\nr0:0.0 r1:0.5 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\nY:7.1\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:5\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:4\n_p12:1\nY:3.0\nr0:0.0 r1:0.3 r2:0.3 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:25\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:2\n_p12:1\nY:3.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.1 V:1\nX:\n_p0:16\n_p1:2\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:8\n_p12:1\nY:3.6\nr0:0.0 r1:1.3 r2:0.5 r3:0.8 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:32\n_p6:f\n_p7:o\n_p8:c\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:32\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:2\n_p12:1\nY:3.3\nr0:0.0 r1:0.3 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:20\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.8\nr0:0.0 r1:0.4 r2:0.2 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:32\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.0\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:1\n_p5:2\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:10\n_p2:20\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:4\n_p12:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:4\n_p2:10\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:c\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:1\n_p5:4\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:2\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:32\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.3\nr0:0.0 r1:0.3 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:8\n_p12:1\nY:3.3\nr0:0.1 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:20\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.8\nr0:0.0 r1:0.4 r2:0.2 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:16\n_p6:f\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:1\n_p5:8\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:16\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\nY:8.1\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:1\n_p5:5\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:4\n_p6:f\n_p7:o\n_p8:c\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:25\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.0\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:32\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.7\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:100\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:1\n_p5:10\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nTY:3.6\nTV:1\n", "outputs":"### outputs: _p0:8\n_p1:2\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:8\n_p11:8\n_p12:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_trmm(double alpha,double A[60][60],double B[60][80])\n{\n//BLAS parameters\n//SIDE   = 'L'\n//UPLO   = 'L'\n//TRANSA = 'T'\n//DIAG   = 'U'\n// => Form  B := alpha*A**T*B.\n// A is MxM\n// B is MxN\n  \n#pragma ACCEL PIPELINE auto{_p3}\n  \n#pragma ACCEL TILE FACTOR=auto{_p5}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (int i = 0; i < 60; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p4}\n    \n#pragma ACCEL TILE FACTOR=auto{_p6}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (int j = 0; j < 80; j++) {\n      \n#pragma ACCEL PARALLEL reduction=B FACTOR=auto{_p2}\n      for (int k = 0; k < 60; k++) {\n        if (k > i) {\n          B[i][j] += A[k][i] * B[k][j];\n        }\n      }\n      B[i][j] = alpha * B[i][j];\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nTY:1.2\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:80\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_trmm(double alpha,double A[60][60],double B[60][80])\n{\n//BLAS parameters\n//SIDE   = 'L'\n//UPLO   = 'L'\n//TRANSA = 'T'\n//DIAG   = 'U'\n// => Form  B := alpha*A**T*B.\n// A is MxM\n// B is MxN\n  \n#pragma ACCEL PIPELINE auto{_p3}\n  \n#pragma ACCEL TILE FACTOR=auto{_p5}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (int i = 0; i < 60; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p4}\n    \n#pragma ACCEL TILE FACTOR=auto{_p6}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (int j = 0; j < 80; j++) {\n      \n#pragma ACCEL PARALLEL reduction=B FACTOR=auto{_p2}\n      for (int k = 0; k < 60; k++) {\n        if (k > i) {\n          B[i][j] += A[k][i] * B[k][j];\n        }\n      }\n      B[i][j] = alpha * B[i][j];\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:0\nX:\n_p0:2\n_p1:20\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:6\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:15\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:15\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:2\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:2\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.2\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:30\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:8\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:4\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:20\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:30\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:2\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:2\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:12\n_p1:1\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:6\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:2\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:80\n_p2:5\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:20\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:1.2\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[200][240],double ey[200][240],double hz[200][240],double _fict_[100])\n{\n  int t;\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 100; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 240; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 0; j < 240; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (i = 0; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n      for (j = 1; j < 240; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 200 - 1; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 240 - 1; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:-0.0\nr0:0.1 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:8\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:f\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:4\n_p8:o\n_p9:f\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:8\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.3\nr0:0.6 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:6\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:32\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.6\nr0:0.5 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:4\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:1\n_p8:o\n_p9:f\n_p10:c\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:16\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:10\n_p1:16\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:2\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-3.2\nr0:0.9 r1:0.9 r2:0.6 r3:1.0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:16\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:32\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.6 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:8\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.5 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.5 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:239\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:5\n_p6:1\n_p7:8\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:5\n_p6:1\n_p7:239\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.3\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:239\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.5 r1:0.9 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:16\n_p2:199\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:8\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:32\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:239\n_p8:o\n_p9:o\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.5 r1:0.9 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:16\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:32\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:239\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-0.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:4\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.6 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:12\n_p6:1\n_p7:4\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:1\n_p4:199\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-3.2\nr0:0.9 r1:0.6 r2:0.4 r3:0.5 V:0\nX:\n_p0:1\n_p1:16\n_p2:199\n_p3:32\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:16\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.5 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.2\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:1\n_p6:1\n_p7:16\n_p8:o\n_p9:f\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.9\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:199\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:32\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:16\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:4\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.4\nr0:0.5 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:239\n_p7:4\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:199\n_p3:4\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:32\n_p3:1\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.3 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:239\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:f\n_p9:o\n_p10:o\n_p11:o\n_p12:8\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:0.7\nTV:0\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[120], double x2[120], double y_1[120], double y_2[120], double A[120][120])\n{\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 120; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 120; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:8\n_p1:1\n_p2:8\n_p3:10\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:9.3\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:120\n_p7:4\nY:9.2\nr0:0.1 r1:0.6 r2:0.3 r3:0.8 V:0\nX:\n_p0:1\n_p1:6\n_p2:30\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:8.8\nr0:0.0 r1:0.6 r2:0.4 r3:1.2 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:12\n_p2:1\n_p3:30\n_p4:f\n_p5:c\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:24\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:24\n_p3:1\n_p4:c\n_p5:f\n_p6:120\n_p7:1\nY:8.2\nr0:0.0 r1:0.5 r2:0.3 r3:1.0 V:0\nX:\n_p0:8\n_p1:2\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:3\n_p2:32\n_p3:1\n_p4:c\n_p5:f\n_p6:120\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:16\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:9.4\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:8\n_p1:3\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:2\nY:6.8\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:120\n_p7:1\nY:8.1\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:5\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:8.2\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:3\n_p2:1\n_p3:3\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:8.0\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:5\n_p2:2\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:7.2\nr0:0.0 r1:0.5 r2:0.3 r3:1.0 V:0\nX:\n_p0:1\n_p1:6\n_p2:1\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:120\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:10\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:9.4\nr0:0.0 r1:1.0 r2:0.6 r3:1.9 V:0\nX:\n_p0:12\n_p1:1\n_p2:1\n_p3:24\n_p4:f\n_p5:c\n_p6:1\n_p7:120\nY:10.0\nr0:0.1 r1:1.2 r2:0.7 r3:2.3 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:3\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:7.9\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 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V:0\nX:\n_p0:3\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.8\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:15\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:8.0\nr0:0.0 r1:0.8 r2:0.4 r3:1.5 V:0\nX:\n_p0:8\n_p1:16\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:8\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:30\n_p4:c\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:6\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.4\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:16\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:3\n_p2:1\n_p3:4\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:8.1\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:10\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:120\n_p7:1\nY:8.4\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:1\n_p2:10\n_p3:10\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:8.4\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:10\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:8.5\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:4\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:30\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:8\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:12\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:8.6\nr0:0.0 r1:1.0 r2:0.6 r3:1.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:2\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:3\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:10\n_p2:8\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:8.6\nr0:0.0 r1:1.0 r2:0.6 r3:1.9 V:0\nX:\n_p0:1\n_p1:5\n_p2:6\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:7.8\nr0:0.0 r1:0.5 r2:0.3 r3:1.0 V:0\nX:\n_p0:20\n_p1:1\n_p2:24\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:3\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:4\nY:8.4\nr0:0.0 r1:0.7 r2:0.4 r3:1.4 V:0\nX:\n_p0:1\n_p1:12\n_p2:1\n_p3:4\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:10.0\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:8\n_p1:10\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:2\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:24\n_p3:6\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.5\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:2\n_p1:12\n_p2:1\n_p3:20\n_p4:f\n_p5:c\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:6\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:4\nY:9.3\nr0:0.0 r1:0.8 r2:0.5 r3:1.5 V:0\nX:\n_p0:2\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:8\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:16\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:8\n_p7:120\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:120\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:10.7\nr0:0.1 r1:1.8 r2:1.0 r3:3.1 V:0\nX:\n_p0:1\n_p1:5\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:120\n_p7:1\nY:7.8\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nTY:9.2\nTV:1\n", "outputs":"### outputs: _p0:4\n_p1:1\n_p2:8\n_p3:24\n_p4:o\n_p5:o\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_covariance(int m,int n,double float_n,double data[100][80],double cov[80][80],double mean[80])\n{\n  int i;\n  int j;\n  int k;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p6}\n  \n#pragma ACCEL TILE FACTOR=auto{_p10}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (j = 0; j < 80; j++) {\n    mean[j] = 0.0;\n    \n#pragma ACCEL PARALLEL reduction=mean FACTOR=auto{_p3}\n    for (i = 0; i < 100; i++) {\n      mean[j] += data[i][j];\n    }\n    mean[j] /= float_n;\n  }\n  \n#pragma ACCEL PIPELINE auto{_p7}\n  \n#pragma ACCEL TILE FACTOR=auto{_p11}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 100; i++) {\n    \n#pragma ACCEL PARALLEL reduction=data FACTOR=auto{_p4}\n    for (j = 0; j < 80; j++) {\n      data[i][j] -= mean[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    for (j = i; j < 80; j++) {\n      cov[i][j] = 0.0;\n      \n#pragma ACCEL PARALLEL reduction=cov FACTOR=auto{_p5}\n      for (k = 0; k < 100; k++) {\n        cov[i][j] += data[k][i] * data[k][j];\n      }\n      cov[i][j] /= float_n - 1.0;\n      cov[j][i] = cov[i][j];\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:20\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.0\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:2\n_p6:o\n_p7:o\n_p8:c\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:1\n_p2:10\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:4\n_p11:100\n_p12:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:2.3\nr0:0.0 r1:0.0 r2:0 r3:0 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V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:20\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:2\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:2.3\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:16\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:10\n_p6:o\n_p7:f\n_p8:c\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:1\n_p5:5\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:1\n_p3:32\n_p4:1\n_p5:1\n_p6:o\n_p7:f\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:4\n_p2:1\n_p3:32\n_p4:1\n_p5:16\n_p6:c\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:80\nY:3.8\nr0:0.0 r1:0.5 r2:0.2 r3:0.2 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V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:2\n_p12:1\nY:2.3\nr0:0.0 r1:0.3 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:8\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:32\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:2\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:2\n_p11:8\n_p12:80\nY:3.6\nr0:0.0 r1:0.5 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:4\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:2.9\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:5\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.2\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:8\n_p1:2\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:8\n_p11:8\n_p12:80\nY:3.6\nr0:0.0 r1:0.6 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:10\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:10\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.5\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:4\n_p2:10\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:2\n_p11:1\n_p12:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:2\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:4\n_p11:8\n_p12:80\nY:3.6\nr0:0.0 r1:0.6 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:1.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:32\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.5\nr0:0.0 r1:0.4 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:25\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.0\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:1\n_p5:8\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:8\n_p1:2\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:c\n_p9:f\n_p10:8\n_p11:8\n_p12:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:2\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:2.3\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:8\n_p12:1\nY:3.3\nr0:0.0 r1:0.3 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:1\n_p6:o\n_p7:c\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:4.6\nTV:1\n", "outputs":"### outputs: _p0:8\n_p1:10\n_p2:32\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[200][240],double ey[200][240],double hz[200][240],double _fict_[100])\n{\n  int t;\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 100; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 240; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 0; j < 240; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (i = 0; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n      for (j = 1; j < 240; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 200 - 1; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 240 - 1; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.5 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:239\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:16\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-3.3\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:f\n_p10:c\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:1\n_p7:239\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.0\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.9\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:239\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.2\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.5 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:3\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:32\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.6 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:1\n_p6:1\n_p7:239\n_p8:o\n_p9:f\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.3\nr0:0.8 r1:1.8 r2:1.4 r3:1.4 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:8\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:199\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:16\n_p8:o\n_p9:f\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:1\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.3 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:239\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:c\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-3.3\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-0.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:239\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.7\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:2\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-0.1\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.5 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-0.2\nr0:0.2 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.4 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:100\n_p1:32\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:239\n_p7:2\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:4\n_p1:16\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:239\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:1\n_p7:8\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.2\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.6 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:16\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:4\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.1\nr0:0.5 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-0.3\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:12\n_p6:1\n_p7:4\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 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V:1\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-3.2\nr0:0.5 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:16\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.6 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:16\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.6\nr0:0.5 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:25\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.3 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:10\n_p6:1\n_p7:2\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:32\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.6 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:1\n_p8:o\n_p9:f\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.5 r1:0.6 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:199\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:8\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:239\n_p8:o\n_p9:f\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:32\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:8\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:f\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.4\nr0:0.2 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.3\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:8\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.6 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.3\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.5 r1:0.9 r2:0.4 r3:0.7 V:0\nTY:1.0\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:2\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_syr2k(double alpha,double beta,double C[80][80],double A[80][60],double B[80][60])\n{\n  int i;\n  int j;\n  int k;\n//BLAS PARAMS\n//UPLO  = 'L'\n//TRANS = 'N'\n//A is NxM\n//B is NxM\n//C is NxN\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      if (j <= i) {\n        C[i][j] *= beta;\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p5}\n    \n#pragma ACCEL TILE FACTOR=auto{_p7}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (k = 0; k < 60; k++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        if (j <= i) {\n          C[i][j] += A[j][k] * alpha * B[i][k] + B[j][k] * alpha * A[i][k];\n        }\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.2\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:5\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:8\nY:6.2\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:2\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:2\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:5\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:3\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:10\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.7\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:5\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:3.7\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:5\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:6.2\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:5.1\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:2\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.4\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:4\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.8\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:6\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:2\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:4\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.5\nr0:0.0 r1:0.3 r2:0.2 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:5\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:4\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:4\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:1\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:2\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:2.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:10\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:3\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:5.9\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:4\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:3\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.0\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.4\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:2.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.2\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:4\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.8\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:8\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:4\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:10\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:8\nY:5.7\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:2.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.2\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.7\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:5.7\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nTY:7.5\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:4\n_p2:5\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_trmm(double alpha,double A[60][60],double B[60][80])\n{\n//BLAS parameters\n//SIDE   = 'L'\n//UPLO   = 'L'\n//TRANSA = 'T'\n//DIAG   = 'U'\n// => Form  B := alpha*A**T*B.\n// A is MxM\n// B is MxN\n  \n#pragma ACCEL PIPELINE auto{_p3}\n  \n#pragma ACCEL TILE FACTOR=auto{_p5}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (int i = 0; i < 60; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p4}\n    \n#pragma ACCEL TILE FACTOR=auto{_p6}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (int j = 0; j < 80; j++) {\n      double sum = B[i][j];\n#pragma ACCEL PARALLEL reduction=sum FACTOR=auto{_p2}\n      for (int k = 0; k < 60; k++) {\n        if (k > i) {\n          sum += A[k][i] * B[k][j];\n        }\n      }\n      B[i][j] = alpha * sum;\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:5.0\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:20\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:4\nY:8.6\nr0:0 r1:1.2 r2:0.7 r3:1.9 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:2\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:3\n_p1:20\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:3.9\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:o\n_p4:c\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:4.0\nr0:0.0 r1:0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:80\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:5.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:16\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.7\nr0:0.0 r1:3.1 r2:14.8 r3:6.0 V:0\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:10.1\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:3\n_p1:1\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:4.3\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:8\n_p2:30\n_p3:o\n_p4:c\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:8.6\nr0:0 r1:1.2 r2:0.7 r3:1.9 V:0\nX:\n_p0:2\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.7\nr0:0 r1:1.1 r2:3.6 r3:1.9 V:0\nX:\n_p0:1\n_p1:4\n_p2:32\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:16\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.5\nr0:0.0 r1:1.7 r2:5.8 r3:3.0 V:0\nX:\n_p0:1\n_p1:2\n_p2:60\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.2\nr0:0.0 r1:0.3 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:4.4\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:4\n_p1:4\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.2\nr0:0.0 r1:0.9 r2:7.0 r3:1.5 V:0\nX:\n_p0:1\n_p1:16\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:8.7\nr0:0.0 r1:0.9 r2:0.6 r3:1.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:3.9\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:3\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:30\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:5.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:4\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:4\nY:8.6\nr0:0 r1:1.2 r2:0.7 r3:1.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:c\n_p5:60\n_p6:1\nY:10.1\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:8\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:4\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.6\nr0:0.0 r1:1.6 r2:7.4 r3:3.0 V:0\nX:\n_p0:1\n_p1:5\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:80\n_p2:1\n_p3:c\n_p4:f\n_p5:2\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:5\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:9.8\nr0:0.0 r1:1.0 r2:4.6 r3:1.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:16\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:8.7\nr0:0.0 r1:0.9 r2:0.6 r3:1.5 V:0\nX:\n_p0:15\n_p1:1\n_p2:32\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:30\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:8.5\nr0:0 r1:0.6 r2:0.3 r3:1.0 V:0\nX:\n_p0:6\n_p1:1\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:1\n_p2:16\n_p3:o\n_p4:c\n_p5:1\n_p6:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:4\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:8.2\nr0:0.0 r1:0.3 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:4.5\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:2\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:3\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.8\nr0:0.0 r1:1.2 r2:5.3 r3:2.3 V:0\nX:\n_p0:1\n_p1:2\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:8\nY:8.5\nr0:0 r1:0.6 r2:0.3 r3:1.0 V:0\nX:\n_p0:5\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.7\nr0:0.0 r1:1.9 r2:9.4 r3:3.7 V:0\nX:\n_p0:3\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.4\nr0:0.0 r1:1.5 r2:6.6 r3:2.8 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:4.0\nr0:0.0 r1:0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:4.8\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:3.9\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:2\n_p1:2\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.5\nr0:0.0 r1:0.4 r2:2.5 r3:0.4 V:0\nTY:8.6\nTV:0\n", "outputs":"### outputs: _p0:1\n_p1:20\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:4\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_trmm(double alpha,double A[60][60],double B[60][80])\n{\n//BLAS parameters\n//SIDE   = 'L'\n//UPLO   = 'L'\n//TRANSA = 'T'\n//DIAG   = 'U'\n// => Form  B := alpha*A**T*B.\n// A is MxM\n// B is MxN\n  \n#pragma ACCEL PIPELINE auto{_p3}\n  \n#pragma ACCEL TILE FACTOR=auto{_p5}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (int i = 0; i < 60; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p4}\n    \n#pragma ACCEL TILE FACTOR=auto{_p6}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (int j = 0; j < 80; j++) {\n      \n#pragma ACCEL PARALLEL reduction=B FACTOR=auto{_p2}\n      for (int k = 0; k < 60; k++) {\n        if (k > i) {\n          B[i][j] += A[k][i] * B[k][j];\n        }\n      }\n      B[i][j] = alpha * B[i][j];\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:8\n_p2:20\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:12\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:4\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:8\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:32\n_p1:1\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.2\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:32\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:o\n_p4:c\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:8\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:6\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:80\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:80\n_p2:5\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:2\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:4\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:1.3\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:15\n_p3:o\n_p4:o\n_p5:1\n_p6:80\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[400],double x2[400],double y_1[400],double y_2[400],double A[400][400])\n{\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 400; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 400; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n}\n ```\nX:\n_p0:32\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.0\nr0:0.3 r1:0.4 r2:0.2 r3:0.3 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:10\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:6.2\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:2\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.3\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:10\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:1\nY:5.7\nr0:0.4 r1:0.1 r2:0.1 r3:0.3 V:1\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:400\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:6.0\nr0:0.2 r1:3.2 r2:2.0 r3:6.4 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:25\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:4.4\nr0:0.3 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:16\n_p1:10\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:5.9\nr0:0.3 r1:3.3 r2:2.0 r3:6.6 V:0\nX:\n_p0:16\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:400\nY:6.3\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:25\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:8\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:4\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:5.8\nr0:0.4 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:4\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:10\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:3.4\nr0:0.1 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:16\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:7.3\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:8\n_p1:16\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:4\n_p7:1\nY:5.9\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:25\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:8\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:2\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:3.5\nr0:0.1 r1:0.0 r2:0 r3:0.0 V:1\nX:\n_p0:4\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:4\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:400\nY:7.1\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:16\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:4\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:7.2\nr0:0.6 r1:0.6 r2:0.4 r3:1.3 V:0\nX:\n_p0:1\n_p1:5\n_p2:32\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:8\n_p7:400\nY:6.2\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:16\n_p1:16\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:5\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:4.9\nr0:1.2 r1:1.6 r2:1.0 r3:3.3 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:2\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:6.1\nr0:0.3 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:25\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:4\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:5\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:6.8\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:400\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:16\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:8\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:0\nX:\n_p0:16\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:4\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:5\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:25\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:1\nY:5.9\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:10\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:5\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:2\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:3.6\nr0:0.1 r1:2.6 r2:1.5 r3:5.1 V:0\nX:\n_p0:4\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:6.7\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:16\n_p1:16\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:8\n_p7:1\nY:5.8\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:4.3\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:32\n_p1:16\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:8\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:4.5\nr0:1.0 r1:1.5 r2:0.9 r3:3.2 V:0\nX:\n_p0:10\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:400\n_p7:1\nY:8.0\nr0:0.2 r1:2.6 r2:1.6 r3:5.1 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:400\n_p7:1\nY:7.9\nr0:0.2 r1:0.9 r2:0.5 r3:1.3 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:400\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:6.1\nr0:0.9 r1:0.1 r2:0.0 r3:0.0 V:0\nX:\n_p0:5\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:400\nY:7.0\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:25\n_p3:5\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:4.2\nr0:0.2 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:10\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.1\nr0:0.1 r1:0.0 r2:0 r3:0.0 V:1\nX:\n_p0:2\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:400\nY:6.6\nr0:0.5 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:25\n_p3:1\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:16\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:4\n_p7:1\nY:5.8\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:400\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:4\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:2\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:32\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:25\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:5.0\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:10\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_2mm(int ni,int nj,int nk,int nl,double alpha,double beta,double tmp[40][50],double A[40][70],double B[70][50],double C[50][80],double D[40][80])\n{\n  int i;\n  int j;\n  int k;\n  \n#pragma ACCEL PIPELINE auto{_p6}\n  \n#pragma ACCEL TILE FACTOR=auto{_p10}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 40; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p8}\n    \n#pragma ACCEL TILE FACTOR=auto{_p12}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (j = 0; j < 50; j++) {\n      tmp[i][j] = 0.0;\n      \n#pragma ACCEL PARALLEL reduction = tmp FACTOR=auto{_p4}\n      for (k = 0; k < 70; ++k) {\n        tmp[i][j] += alpha * A[i][k] * B[k][j];\n      }\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p7}\n  \n#pragma ACCEL TILE FACTOR=auto{_p11}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 40; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (j = 0; j < 80; j++) {\n      D[i][j] *= beta;\n      \n#pragma ACCEL PARALLEL reduction = D FACTOR=auto{_p5}\n      for (k = 0; k < 50; ++k) {\n        D[i][j] += tmp[i][k] * C[k][j];\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:16\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.0\nr0:0.0 r1:2.4 r2:1.6 r3:5.7 V:0\nX:\n_p0:10\n_p1:4\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:4\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:1\n_p5:16\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.4\nr0:0.0 r1:2.4 r2:1.6 r3:5.7 V:0\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:c\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:1\n_p4:1\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.3\nr0:0.0 r1:2.8 r2:1.9 r3:6.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:4\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.7\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:10\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:2\n_p11:4\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.4\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:20\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:10.9\nr0:0.0 r1:1.8 r2:0.7 r3:1.6 V:0\nX:\n_p0:2\n_p1:4\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:0\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:8\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:2\n_p11:1\n_p12:1\n_p13:1\nY:3.5\nr0:0.0 r1:1.4 r2:1.2 r3:4.8 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:2\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.5\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.1\nr0:0.0 r1:2.5 r2:1.6 r3:5.7 V:0\nX:\n_p0:1\n_p1:5\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:1.5 r2:0.9 r3:3.3 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:5\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.5\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:10\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:4\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:7\n_p5:32\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.2\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:10\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:3.1 r2:1.8 r3:6.6 V:0\nX:\n_p0:8\n_p1:8\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:4\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:2\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:2\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:32\n_p6:o\n_p7:o\n_p8:f\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:10.8\nr0:0.0 r1:0.2 r2:0.1 r3:0.3 V:1\nX:\n_p0:40\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:2\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:50\n_p6:o\n_p7:o\n_p8:f\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:4.7\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:50\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_trmm(double alpha,double A[60][60],double B[60][80])\n{\n//BLAS parameters\n//SIDE   = 'L'\n//UPLO   = 'L'\n//TRANSA = 'T'\n//DIAG   = 'U'\n// => Form  B := alpha*A**T*B.\n// A is MxM\n// B is MxN\n  \n#pragma ACCEL PIPELINE auto{_p3}\n  \n#pragma ACCEL TILE FACTOR=auto{_p5}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (int i = 0; i < 60; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p4}\n    \n#pragma ACCEL TILE FACTOR=auto{_p6}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (int j = 0; j < 80; j++) {\n      \n#pragma ACCEL PARALLEL reduction=B FACTOR=auto{_p2}\n      for (int k = 0; k < 60; k++) {\n        if (k > i) {\n          B[i][j] += A[k][i] * B[k][j];\n        }\n      }\n      B[i][j] = alpha * B[i][j];\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:16\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:0\nX:\n_p0:1\n_p1:8\n_p2:2\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:15\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:2\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:3\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:60\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:16\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:6\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:1.3\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:80\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[200][240],double ey[200][240],double hz[200][240],double _fict_[100])\n{\n  int t;\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 100; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 240; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 0; j < 240; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (i = 0; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n      for (j = 1; j < 240; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 200 - 1; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 240 - 1; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:32\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.9\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:10\n_p6:1\n_p7:4\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:239\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:4\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:25\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:199\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:32\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:2\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.2 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:10\n_p6:1\n_p7:239\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.1\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:5\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:8\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.3\nr0:0.5 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:32\n_p1:16\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:199\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.5 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:2\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.8\nr0:0.5 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.3 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:4\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.1\nr0:0.6 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:4\n_p8:o\n_p9:o\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:3\n_p6:1\n_p7:239\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:2.6\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:8\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:32\n_p2:4\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.4 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.3 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:2\n_p8:o\n_p9:o\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:1\n_p8:o\n_p9:o\n_p10:c\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:16\n_p8:o\n_p9:f\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:2\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:199\n_p3:2\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:1\n_p8:o\n_p9:f\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:5\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:32\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.2\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:10\n_p1:32\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:32\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.7\nr0:0.5 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:200\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-0.3\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:1\n_p6:1\n_p7:8\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:100\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:16\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.6 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:199\n_p3:4\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:1\n_p7:32\n_p8:o\n_p9:f\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:1\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.6 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:239\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:5\n_p6:1\n_p7:4\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.4\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-0.2\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:25\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:32\n_p6:32\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.4\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:10\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:2.2\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:2\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:f\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:6\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:2.0\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.6 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:199\n_p14:1\n_p15:199\nY:3.4\nr0:0.6 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:f\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.5\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:16\n_p2:199\n_p3:25\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.3\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:239\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.5 r1:0.9 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-0.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:100\n_p1:16\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:4\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:5\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:1\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:8\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.3\nr0:0.6 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.5 r1:0.6 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.4 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-0.1\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.5 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.3 r1:0.5 r2:0.3 r3:0.5 V:1\nTY:1.2\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:239\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_syr2k(double alpha,double beta,double C[80][80],double A[80][60],double B[80][60])\n{\n  int i;\n  int j;\n  int k;\n//BLAS PARAMS\n//UPLO  = 'L'\n//TRANS = 'N'\n//A is NxM\n//B is NxM\n//C is NxN\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      if (j <= i) {\n        C[i][j] *= beta;\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p5}\n    \n#pragma ACCEL TILE FACTOR=auto{_p7}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (k = 0; k < 60; k++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        if (j <= i) {\n          C[i][j] += A[j][k] * alpha * B[i][k] + B[j][k] * alpha * A[i][k];\n        }\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:5\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.5\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:5\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:6\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:5\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:10\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:8\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:10\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:6\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:32\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.7\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:4\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.2\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:5\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:10\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:5\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.9\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.4\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:6.2\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:2\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:6.0\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:16\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:6\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:2\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:32\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:2.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:2\n_p2:12\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:3\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:10\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:6.5\nr0:0.0 r1:0.3 r2:0.5 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:4\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.8\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:4\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:60\nY:7.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:5\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.4\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:4\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:2\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:2\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.4\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:1\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:10\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.4\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:3\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:3\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:2.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:8\nY:6.2\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:4.3\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nTY:7.7\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:2\n_p2:4\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[60][80],double ey[60][80],double hz[60][80],double _fict_[40])\n{\n  int t;\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 40; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 60; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 60; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 1; j < 80; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n    for (i = 0; i < 59; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 79; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:10\n_p1:16\n_p2:1\n_p3:1\n_p4:2\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:32\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:60\n_p15:59\nY:6.7\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:2\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.6\nr0:0.0 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:7.4\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.1\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:79\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:79\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:79\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:2.7\nr0:0.1 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.7\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:32\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:8\nY:3.0\nr0:0.1 r1:0.8 r2:0.4 r3:0.7 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:8\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.6\nr0:0.0 r1:1.3 r2:0.7 r3:0.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:79\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:5\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:60\n_p15:59\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:79\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.5\nr0:0.0 r1:1.3 r2:0.7 r3:0.9 V:0\nTY:6.5\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[400],double x2[400],double y_1[400],double y_2[400],double A[400][400])\n{\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 400; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 400; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n}\n ```\nX:\n_p0:10\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:1\nY:7.0\nr0:0.4 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:400\n_p7:1\nY:5.9\nr0:0.4 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:16\n_p1:16\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.1\nr0:0.5 r1:0.1 r2:0.1 r3:0.1 V:1\nX:\n_p0:10\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:6.0\nr0:0.2 r1:3.2 r2:2.0 r3:6.4 V:0\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:1\nY:5.6\nr0:0.3 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:25\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:4\nY:7.6\nr0:0.2 r1:0.6 r2:0.4 r3:0.7 V:1\nX:\n_p0:32\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:2\n_p7:400\nY:6.3\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:400\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.3\nr0:0.3 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:2\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:7.2\nr0:0.6 r1:0.6 r2:0.4 r3:1.3 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:1\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:3.4\nr0:0.2 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:4\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:10\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:8\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:5\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:10\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:20\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:6.8\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:25\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:6.1\nr0:0.3 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:400\nY:7.2\nr0:0.5 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:8\n_p7:1\nY:5.8\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:2.9\nr0:0.1 r1:0.0 r2:0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.0\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:25\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:6.9\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:32\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:7.9\nr0:0.4 r1:0.9 r2:0.5 r3:1.3 V:0\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:5.8\nr0:0.4 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:400\n_p7:1\nY:6.6\nr0:0.2 r1:0.6 r2:0.3 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:25\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:4.3\nr0:0.3 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:20\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:6.2\nr0:0.9 r1:1.2 r2:0.7 r3:2.6 V:0\nX:\n_p0:4\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:10\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:4.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.8\nr0:0.4 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:20\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:4.9\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:25\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:4.8\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:25\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:1\nY:6.1\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:4.3\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:4\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:20\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:6.2\nr0:0.9 r1:0.7 r2:0.4 r3:1.3 V:0\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:2\n_p7:1\nY:0.1\nr0:0.4 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:2\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:4\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:400\nY:7.1\nr0:0.4 r1:0.2 r2:0.2 r3:0.5 V:1\nX:\n_p0:2\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:4\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:16\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:4\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:5\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:2\n_p2:4\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:4.9\nr0:0.1 r1:0.9 r2:0.5 r3:1.3 V:0\nX:\n_p0:5\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:7.2\nr0:1.2 r1:1.5 r2:0.9 r3:3.2 V:0\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:4\n_p7:1\nY:5.9\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:3.6\nr0:0.1 r1:2.6 r2:1.5 r3:5.1 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:4\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:3.8\nr0:0.1 r1:0.0 r2:0 r3:0.0 V:1\nX:\n_p0:20\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:5\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:4\n_p7:1\nY:5.6\nr0:0.2 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:5.3\nr0:0.4 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:5\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:2\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:4.2\nr0:0.1 r1:1.5 r2:0.8 r3:2.6 V:0\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:4\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:2\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:5.6\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:4\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:32\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.0\nr0:0.3 r1:0.4 r2:0.2 r3:0.3 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:8\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:6.6\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:400\n_p7:1\nY:7.9\nr0:0.2 r1:1.6 r2:0.9 r3:2.6 V:0\nX:\n_p0:16\n_p1:2\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:2\n_p7:8\nY:6.6\nr0:0.1 r1:0.9 r2:0.5 r3:1.3 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:8\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:7.1\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:10\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.6\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:2\n_p7:1\nY:5.9\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:16\n_p1:16\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:8\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:8\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:7.2\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:2\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:1\nY:5.4\nr0:0.5 r1:0.0 r2:0.0 r3:0.0 V:1\nTY:6.4\nTV:1\n", "outputs":"### outputs: _p0:10\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:8\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[60][80],double ey[60][80],double hz[60][80],double _fict_[40])\n{\n  int t;\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 40; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 60; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 60; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 1; j < 80; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n    for (i = 0; i < 59; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 79; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:32\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.6\nr0:0.0 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:79\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.5\nr0:0.0 r1:1.3 r2:0.7 r3:0.9 V:0\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:15\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:16\n_p3:16\n_p4:2\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:2\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:2\n_p5:1\n_p6:59\n_p7:2\n_p8:c\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:10\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:16\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:c\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:60\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.5\nr0:0.0 r1:1.3 r2:0.7 r3:0.9 V:0\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:2\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.6\nr0:0.0 r1:0.6 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:4\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:c\n_p10:f\n_p11:f\n_p12:1\n_p13:59\n_p14:1\n_p15:59\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:79\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:60\n_p15:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:4\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:59\nY:6.7\nr0:0.0 r1:0.7 r2:0.3 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:79\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:2.9\nr0:0.0 r1:0.5 r2:0.2 r3:0.4 V:1\nX:\n_p0:1\n_p1:2\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.6\nr0:0.0 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:4\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:8.9\nr0:0.0 r1:0.7 r2:0.3 r3:0.6 V:1\nX:\n_p0:5\n_p1:1\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:32\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:16\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.1 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:4\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:60\n_p15:1\nY:1.5\nr0:0.0 r1:0.7 r2:0.4 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.0\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:7.9\nr0:0.0 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:60\n_p15:59\nY:6.7\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:79\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:8\nY:3.5\nr0:0.0 r1:1.4 r2:0.6 r3:1.2 V:0\nX:\n_p0:1\n_p1:1\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:4\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.6\nr0:0.0 r1:1.2 r2:0.5 r3:0.9 V:0\nX:\n_p0:4\n_p1:16\n_p2:4\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:60\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:16\n_p4:1\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:8.5\nr0:0.0 r1:0.4 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:16\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:4\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:16\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:8.6\nr0:0.0 r1:0.4 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:20\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:60\n_p15:59\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:79\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:8\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:2\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.1\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:79\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.6\nr0:0.0 r1:1.3 r2:0.7 r3:0.9 V:0\nX:\n_p0:8\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:60\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:4\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.6\nr0:0.0 r1:1.3 r2:0.5 r3:0.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:79\n_p8:o\n_p9:f\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:8.1\nr0:0.0 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:16\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.0\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:8\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.7\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nTY:6.6\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_syr2k(double alpha,double beta,double C[80][80],double A[80][60],double B[80][60])\n{\n  int i;\n  int j;\n  int k;\n//BLAS PARAMS\n//UPLO  = 'L'\n//TRANS = 'N'\n//A is NxM\n//B is NxM\n//C is NxN\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      if (j <= i) {\n        C[i][j] *= beta;\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p5}\n    \n#pragma ACCEL TILE FACTOR=auto{_p7}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (k = 0; k < 60; k++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        if (j <= i) {\n          C[i][j] += A[j][k] * alpha * B[i][k] + B[j][k] * alpha * A[i][k];\n        }\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:8\nY:6.2\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.2\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.2\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:6.0\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:4\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:4\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:6\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:5\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:5.4\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.4\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.4\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:60\nY:7.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:5\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:2\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:6.5\nr0:0.0 r1:0.3 r2:0.5 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:5\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:5\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:3\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:2\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:4\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.8\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:10\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:5\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:10\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:4\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:5\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:4\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:3\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:5\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:3.7\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:6.2\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:5\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:10\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:8\nY:6.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:2\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:5\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.4\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:5\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:4\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.8\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:6\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.2\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.2\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:5.9\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:3\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:1\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:10\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:10\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.7\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:1\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.0\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 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V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:2.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.3\nr0:0.0 r1:0.0 r2:0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:15\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:4\n_p2:4\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:2\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:20\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:16\n_p2:2\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:5\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:2\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:2\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:1\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:5\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.1 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:3\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:6\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:8\nY:6.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:10\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:5.7\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nTY:7.4\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:5\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[200][240],double ey[200][240],double hz[200][240],double _fict_[100])\n{\n  int t;\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 100; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 240; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 0; j < 240; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (i = 0; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n      for (j = 1; j < 240; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 200 - 1; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 240 - 1; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:1\n_p7:16\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:2.0\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:8\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.5 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:20\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:2.1\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.3\nr0:0.1 r1:0.1 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:1\n_p8:o\n_p9:f\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:10\n_p6:1\n_p7:16\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:2.1\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:2\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:5\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.9\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:199\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:2.0\nr0:0.6 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:4\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.3\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:8\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.5 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.3\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:4\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:0\nX:\n_p0:1\n_p1:16\n_p2:16\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:16\n_p8:o\n_p9:o\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:5\n_p6:1\n_p7:16\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.3 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:239\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.3\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:32\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:2.0\nr0:0.6 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:1\n_p7:239\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:2.0\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:32\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.6\nr0:0.5 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:8\n_p8:o\n_p9:o\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:32\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:1\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.5 r1:0.6 r2:0.4 r3:0.5 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V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:4\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.3\nr0:0.5 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:3\n_p6:1\n_p7:16\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:6\n_p6:1\n_p7:16\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.9\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.5 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:32\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:16\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.6\nr0:0.5 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:1\n_p6:1\n_p7:32\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.6 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:3\n_p6:1\n_p7:4\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.4\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:12\n_p6:1\n_p7:8\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.6\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:32\n_p7:1\n_p8:o\n_p9:o\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:199\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-0.4\nr0:0.3 r1:0.1 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:5\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.3\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:1\n_p6:1\n_p7:239\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.3\nr0:0.8 r1:1.8 r2:1.4 r3:1.4 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:4\n_p8:o\n_p9:f\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:16\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.8\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:32\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:2.0\nr0:0.6 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:4\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.1\nr0:0.6 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:2\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.0\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:5\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.3 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:32\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.1\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-0.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.4 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:25\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:199\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:1\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.6 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:199\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:32\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.7\nr0:0.5 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-3.2\nr0:0.5 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.6 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:1\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:16\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.2 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:8\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:2\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:199\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:2\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:0.6\nTV:0\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[60][80],double ey[60][80],double hz[60][80],double _fict_[40])\n{\n  int t;\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 40; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 60; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 60; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 1; j < 80; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n    for (i = 0; i < 59; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 79; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:79\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.5\nr0:0.0 r1:0.6 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:2\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:8\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:8\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:2\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:4\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:59\n_p14:1\n_p15:59\nY:8.9\nr0:0.0 r1:0.7 r2:0.3 r3:0.6 V:1\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:60\n_p15:8\nY:3.5\nr0:0.0 r1:2.4 r2:1.2 r3:2.6 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.7\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:79\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:16\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:59\n_p14:60\n_p15:59\nY:8.8\nr0:0.0 r1:0.4 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:4\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:6.7\nr0:0.0 r1:0.7 r2:0.3 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.5\nr0:0.0 r1:1.3 r2:0.7 r3:0.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.8\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:8\n_p1:16\n_p2:4\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:60\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:79\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:8\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.7\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.6\nr0:0.0 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:16\n_p8:o\n_p9:f\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:79\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:2.9\nr0:0.0 r1:0.5 r2:0.2 r3:0.4 V:1\nX:\n_p0:1\n_p1:1\n_p2:59\n_p3:16\n_p4:10\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:79\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.5\nr0:0.0 r1:0.6 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:1\n_p8:o\n_p9:f\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:79\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:8.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:4\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:0\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:4\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:8.9\nr0:0.0 r1:0.7 r2:0.3 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:59\nY:4.7\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:4\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:2\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.0 r1:0.2 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:4\n_p3:1\n_p4:2\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.0 r1:0.8 r2:0.5 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:79\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:2.9\nr0:0.0 r1:0.5 r2:0.2 r3:0.4 V:1\nX:\n_p0:1\n_p1:2\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.6\nr0:0.0 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:8\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:79\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:2\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:59\n_p14:1\n_p15:8\nY:3.5\nr0:0.0 r1:1.0 r2:0.5 r3:0.8 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:10\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:f\n_p9:o\n_p10:o\n_p11:o\n_p12:4\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:8.7\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_trmm(double alpha,double A[60][60],double B[60][80])\n{\n//BLAS parameters\n//SIDE   = 'L'\n//UPLO   = 'L'\n//TRANSA = 'T'\n//DIAG   = 'U'\n// => Form  B := alpha*A**T*B.\n// A is MxM\n// B is MxN\n  \n#pragma ACCEL PIPELINE auto{_p3}\n  \n#pragma ACCEL TILE FACTOR=auto{_p5}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (int i = 0; i < 60; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p4}\n    \n#pragma ACCEL TILE FACTOR=auto{_p6}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (int j = 0; j < 80; j++) {\n      double sum = B[i][j];\n#pragma ACCEL PARALLEL reduction=sum FACTOR=auto{_p2}\n      for (int k = 0; k < 60; k++) {\n        if (k > i) {\n          sum += A[k][i] * B[k][j];\n        }\n      }\n      B[i][j] = alpha * sum;\n    }\n  }\n}\n ```\nX:\n_p0:4\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.6\nr0:0 r1:2.0 r2:9.3 r3:3.7 V:0\nX:\n_p0:6\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.1\nr0:0 r1:2.3 r2:11.0 r3:4.4 V:0\nX:\n_p0:2\n_p1:32\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:8.6\nr0:0 r1:1.2 r2:0.7 r3:1.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.5\nr0:0 r1:0.6 r2:0.3 r3:1.0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:2.7\nr0:0.0 r1:0 r2:0 r3:0 V:1\nX:\n_p0:3\n_p1:4\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.6\nr0:0.0 r1:0.7 r2:5.0 r3:1.1 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:4.5\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:o\n_p4:o\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:32\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:4.2\nr0:0.0 r1:0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:c\n_p4:o\n_p5:60\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:3\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.8\nr0:0.0 r1:1.2 r2:5.3 r3:2.3 V:0\nX:\n_p0:1\n_p1:20\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:8.6\nr0:0 r1:1.2 r2:0.7 r3:1.9 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:3\n_p1:4\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:4.3\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:10\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:8\nY:8.5\nr0:0 r1:0.6 r2:0.3 r3:1.0 V:0\nX:\n_p0:3\n_p1:1\n_p2:32\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:c\n_p5:60\n_p6:1\nY:10.1\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:32\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:80\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:12\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.0\nr0:0.0 r1:4.2 r2:17.6 r3:8.4 V:0\nX:\n_p0:1\n_p1:2\n_p2:60\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:5.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:4\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:o\n_p4:c\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:4.9\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:5.0\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:8\n_p2:60\n_p3:c\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:8.5\nr0:0 r1:0.6 r2:0.3 r3:1.0 V:0\nX:\n_p0:1\n_p1:10\n_p2:3\n_p3:o\n_p4:c\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:5.0\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:5.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:8.2\nr0:0.0 r1:0.3 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:20\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:4\nY:8.6\nr0:0 r1:1.2 r2:0.7 r3:1.9 V:0\nTY:8.4\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:2\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[400],double x2[400],double y_1[400],double y_2[400],double A[400][400])\n{\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 400; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 400; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n}\n ```\nX:\n_p0:20\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:400\nY:7.2\nr0:0.4 r1:0.1 r2:0.1 r3:0.1 V:1\nX:\n_p0:25\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:2\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:25\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:4\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:25\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.0\nr0:0.3 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:8\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:25\n_p3:10\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.4\nr0:0.3 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:16\n_p1:16\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:4\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:16\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:2\n_p7:1\nY:5.9\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:25\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.2\nr0:0.2 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:2\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:5\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:25\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:8\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:2\nY:7.9\nr0:0.2 r1:2.8 r2:1.7 r3:5.8 V:0\nX:\n_p0:1\n_p1:5\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:4.7\nr0:1.1 r1:1.5 r2:0.9 r3:3.2 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:20\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:7.3\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:4\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:7.2\nr0:1.0 r1:1.2 r2:0.7 r3:2.6 V:0\nX:\n_p0:1\n_p1:8\n_p2:8\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:6.0\nr0:0.1 r1:2.6 r2:1.5 r3:5.1 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:400\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:2\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:3.5\nr0:0.1 r1:0.0 r2:0 r3:0.0 V:1\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:8\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:6.1\nr0:0.1 r1:0.6 r2:0.3 r3:0.6 V:1\nX:\n_p0:1\n_p1:5\n_p2:10\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:4.6\nr0:1.0 r1:1.5 r2:0.9 r3:3.2 V:0\nX:\n_p0:1\n_p1:32\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:16\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:6.5\nr0:0.2 r1:0.9 r2:0.5 r3:1.3 V:0\nX:\n_p0:2\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:7.2\nr0:0.6 r1:0.6 r2:0.4 r3:1.3 V:0\nX:\n_p0:5\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:2\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:16\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:10\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:4.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:10\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:6.9\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:32\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:10\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:5.3\nr0:0.1 r1:2.6 r2:1.5 r3:5.1 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:16\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:6.7\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:8\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:400\n_p7:1\nY:7.2\nr0:0.5 r1:0.3 r2:0.2 r3:0.7 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:6.5\nr0:0.2 r1:0.6 r2:0.3 r3:0.6 V:1\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:2\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:32\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:25\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:8.6\nr0:0.2 r1:0.5 r2:0.3 r3:0.8 V:1\nX:\n_p0:16\n_p1:400\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:2\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:400\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.2\nr0:0.1 r1:0.3 r2:0.1 r3:0.0 V:1\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:8\n_p7:1\nY:5.8\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:32\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:8\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:2\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:6.7\nr0:0.3 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:7.1\nr0:0.5 r1:0.3 r2:0.2 r3:0.7 V:1\nX:\n_p0:32\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:5.0\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:20\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:16\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:8\n_p7:1\nY:5.8\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:4\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.8\nr0:0.3 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:20\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.4 r1:0.3 r2:0.2 r3:0.7 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:400\n_p7:400\nY:7.9\nr0:0.2 r1:0.6 r2:0.3 r3:0.6 V:1\nX:\n_p0:8\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:2\n_p7:400\nY:5.9\nr0:0.3 r1:0.1 r2:0.1 r3:0.2 V:1\nTY:4.9\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:5\n_p2:1\n_p3:20\n_p4:f\n_p5:c\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_2mm(int ni,int nj,int nk,int nl,double alpha,double beta,double tmp[40][50],double A[40][70],double B[70][50],double C[50][80],double D[40][80])\n{\n  int i;\n  int j;\n  int k;\n  \n#pragma ACCEL PIPELINE auto{_p6}\n  \n#pragma ACCEL TILE FACTOR=auto{_p10}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 40; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p8}\n    \n#pragma ACCEL TILE FACTOR=auto{_p12}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (j = 0; j < 50; j++) {\n      tmp[i][j] = 0.0;\n      \n#pragma ACCEL PARALLEL reduction = tmp FACTOR=auto{_p4}\n      for (k = 0; k < 70; ++k) {\n        tmp[i][j] += alpha * A[i][k] * B[k][j];\n      }\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p7}\n  \n#pragma ACCEL TILE FACTOR=auto{_p11}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 40; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (j = 0; j < 80; j++) {\n      D[i][j] *= beta;\n      \n#pragma ACCEL PARALLEL reduction = D FACTOR=auto{_p5}\n      for (k = 0; k < 50; ++k) {\n        D[i][j] += tmp[i][k] * C[k][j];\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:4\n_p12:1\n_p13:1\nY:3.7\nr0:0.0 r1:1.5 r2:1.4 r3:5.3 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:14\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:6.1\nr0:0.0 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:20\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:2\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:32\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.8\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:16\n_p1:5\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:8\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.6 r2:0.4 r3:1.3 V:0\nX:\n_p0:1\n_p1:10\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:3.1 r2:1.8 r3:6.6 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:5\n_p4:1\n_p5:16\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:16\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:4\n_p5:1\n_p6:o\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.0\nr0:0.0 r1:2.8 r2:1.9 r3:6.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:8\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.7\nr0:0.0 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:32\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:5\n_p4:1\n_p5:32\n_p6:f\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:50\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:8\nY:5.7\nr0:0.0 r1:0.4 r2:0.2 r3:0.8 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.2\nr0:0.0 r1:0.0 r2:0 r3:0.0 V:1\nTY:5.4\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[120], double x2[120], double y_1[120], double y_2[120], double A[120][120])\n{\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 120; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 120; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:2\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:15\n_p2:1\n_p3:8\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:8.3\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:4\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:16\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:8\n_p7:120\nY:11.0\nr0:0.0 r1:0.4 r2:0.2 r3:0.6 V:1\nX:\n_p0:4\n_p1:2\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:8\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:12\n_p2:1\n_p3:24\n_p4:f\n_p5:c\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:3\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:120\n_p7:1\nY:8.4\nr0:0.1 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:20\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:10.3\nr0:0.1 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:4\n_p1:4\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:24\n_p3:1\n_p4:c\n_p5:f\n_p6:120\n_p7:1\nY:8.2\nr0:0.0 r1:0.5 r2:0.3 r3:1.0 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V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:c\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:4\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:10.5\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:24\n_p2:1\n_p3:12\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:11.2\nr0:0.1 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:8\n_p1:2\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:4\n_p2:24\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:8\nY:10.6\nr0:0.0 r1:1.0 r2:0.7 r3:1.2 V:0\nX:\n_p0:1\n_p1:6\n_p2:1\n_p3:10\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:9.3\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:3\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:120\n_p7:1\nY:7.6\nr0:0.1 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:16\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:3\n_p2:24\n_p3:1\n_p4:c\n_p5:f\n_p6:120\n_p7:4\nY:8.1\nr0:0.0 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:8\n_p1:6\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:9.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.3\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:15\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:120\n_p7:1\nY:7.6\nr0:0.1 r1:1.4 r2:0.8 r3:2.9 V:0\nX:\n_p0:1\n_p1:3\n_p2:1\n_p3:30\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:8.3\nr0:0.1 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:8\n_p1:10\n_p2:32\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:8\nY:8.0\nr0:0.0 r1:1.1 r2:0.6 r3:2.2 V:0\nX:\n_p0:8\n_p1:4\n_p2:32\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:8\nY:9.2\nr0:0.1 r1:0.6 r2:0.4 r3:1.0 V:0\nX:\n_p0:8\n_p1:20\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:1\n_p7:1\nY:10.0\nr0:0.1 r1:0.1 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:24\n_p3:5\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:8.4\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:8\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:2\n_p2:24\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:11.2\nr0:0.0 r1:0.6 r2:0.5 r3:0.6 V:1\nX:\n_p0:2\n_p1:1\n_p2:1\n_p3:30\n_p4:f\n_p5:c\n_p6:1\n_p7:120\nY:10.1\nr0:0.0 r1:0.2 r2:0.2 r3:0.4 V:1\nX:\n_p0:3\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:4\nY:3.6\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:6\n_p2:1\n_p3:24\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:9.3\nr0:0.1 r1:0.2 r2:0.1 r3:0.3 V:1\nX:\n_p0:1\n_p1:4\n_p2:30\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:9.0\nr0:0.0 r1:0.4 r2:0.3 r3:0.8 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:5\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:8.8\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:3\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:8\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:24\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:10.4\nr0:0.2 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:8\n_p1:15\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:4\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:32\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:6\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.3\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:30\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.1\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:2\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:2\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:6\n_p1:24\n_p2:1\n_p3:20\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:11.2\nr0:0.0 r1:0.9 r2:0.6 r3:1.4 V:0\nX:\n_p0:1\n_p1:6\n_p2:24\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:8.9\nr0:0.0 r1:0.6 r2:0.4 r3:1.2 V:0\nX:\n_p0:1\n_p1:2\n_p2:30\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:8.8\nr0:0.0 r1:0.2 r2:0.1 r3:0.4 V:1\nX:\n_p0:5\n_p1:1\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:8\n_p7:120\nY:9.6\nr0:0.0 r1:0.5 r2:0.3 r3:1.0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:120\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.4\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:8\n_p1:2\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:15\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:6.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:2\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:8\n_p7:4\nY:10.5\nr0:0.0 r1:0.6 r2:0.4 r3:1.0 V:0\nX:\n_p0:8\n_p1:1\n_p2:8\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:4\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:6\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:4\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:5\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:4\n_p7:8\nY:8.4\nr0:0.0 r1:0.9 r2:0.5 r3:1.7 V:0\nX:\n_p0:30\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:15\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.6\nr0:0.1 r1:1.4 r2:0.8 r3:2.9 V:0\nX:\n_p0:1\n_p1:24\n_p2:1\n_p3:8\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:11.1\nr0:0.2 r1:0.2 r2:0.2 r3:0.3 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.2\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:2\n_p1:2\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:11.3\nr0:0.0 r1:0.3 r2:0.2 r3:0.4 V:1\nX:\n_p0:4\n_p1:12\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:2\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:3\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.9\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:9.4\nr0:0.1 r1:1.0 r2:0.6 r3:1.9 V:0\nX:\n_p0:8\n_p1:1\n_p2:32\n_p3:1\n_p4:c\n_p5:f\n_p6:4\n_p7:120\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:8\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:8.6\nr0:0.0 r1:1.0 r2:0.6 r3:1.9 V:0\nX:\n_p0:4\n_p1:1\n_p2:10\n_p3:24\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.5\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:30\n_p2:1\n_p3:16\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:3\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:2\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:5\n_p1:1\n_p2:1\n_p3:20\n_p4:f\n_p5:c\n_p6:8\n_p7:120\nY:9.9\nr0:0.1 r1:0.5 r2:0.3 r3:1.0 V:0\nX:\n_p0:4\n_p1:24\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:2\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:2\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:1\n_p7:2\nY:3.7\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:5\n_p2:15\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:8.1\nr0:0.0 r1:0.5 r2:0.3 r3:1.0 V:0\nX:\n_p0:1\n_p1:1\n_p2:30\n_p3:10\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:8.3\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:15\n_p2:120\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:8.4\nr0:0.1 r1:1.4 r2:0.8 r3:2.9 V:0\nX:\n_p0:1\n_p1:24\n_p2:1\n_p3:20\n_p4:f\n_p5:o\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:120\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.4\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nTY:10.2\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:4\n_p2:1\n_p3:5\n_p4:f\n_p5:c\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_syr2k(double alpha,double beta,double C[80][80],double A[80][60],double B[80][60])\n{\n  int i;\n  int j;\n  int k;\n//BLAS PARAMS\n//UPLO  = 'L'\n//TRANS = 'N'\n//A is NxM\n//B is NxM\n//C is NxN\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      if (j <= i) {\n        C[i][j] *= beta;\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p5}\n    \n#pragma ACCEL TILE FACTOR=auto{_p7}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (k = 0; k < 60; k++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        if (j <= i) {\n          C[i][j] += A[j][k] * alpha * B[i][k] + B[j][k] * alpha * A[i][k];\n        }\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:4\n_p2:5\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:4\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:4\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:2\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:1\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:6.0\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:1\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:3\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:5\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:80\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:5\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:20\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:8\nY:6.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:4\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:10\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:2.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.5\nr0:0.0 r1:0.3 r2:0.2 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:4\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:4\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.8\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:6\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:4\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:2.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.3\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:10\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:8\nY:6.2\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:6.2\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:2.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:5\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:2\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:2\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:5\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.4\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:60\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.0\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:6.4\nr0:0.0 r1:0.3 r2:0.2 r3:0.0 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V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:5\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:2.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:4\n_p2:6\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:4\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.2\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:6\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:5.4\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:2\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 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V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:10\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.7\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:5\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:8\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:5\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.5\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.4\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:6\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.8\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:3\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:3\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nTY:7.6\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:2\n_p2:10\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[60][80],double ey[60][80],double hz[60][80],double _fict_[40])\n{\n  int t;\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 40; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 60; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 60; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 1; j < 80; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n    for (i = 0; i < 59; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 79; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:16\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.5\nr0:0.0 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:59\n_p3:16\n_p4:20\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:5\n_p1:16\n_p2:4\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:60\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:8.1\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.1\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:16\n_p1:16\n_p2:59\n_p3:16\n_p4:2\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:32\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.1 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:8\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.7\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.6\nr0:0.0 r1:0.6 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:79\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.5\nr0:0.0 r1:0.6 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.7\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:f\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:8.1\nr0:0.0 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:16\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:4\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.6\nr0:0.0 r1:1.3 r2:0.5 r3:0.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.1\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:79\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.5\nr0:0.0 r1:0.6 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:4\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.6\nr0:0.0 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:32\n_p8:o\n_p9:f\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:16\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.0 r1:0.2 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:79\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:2.9\nr0:0.0 r1:0.5 r2:0.2 r3:0.4 V:1\nX:\n_p0:1\n_p1:16\n_p2:4\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:60\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:79\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:2.7\nr0:0.1 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:1\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:8.0\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:32\n_p3:1\n_p4:2\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.0\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:79\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:8.7\nr0:0.0 r1:0.4 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:32\n_p4:1\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.7\nr0:0.0 r1:0.4 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:8\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.5\nr0:0.0 r1:2.4 r2:1.3 r3:1.8 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.7\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.7\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.6\nr0:0.0 r1:0.6 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.5\nr0:0.0 r1:1.3 r2:0.7 r3:0.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:79\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.6\nr0:0.0 r1:0.6 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nTY:8.9\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:4\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_2mm(int ni,int nj,int nk,int nl,double alpha,double beta,double tmp[40][50],double A[40][70],double B[70][50],double C[50][80],double D[40][80])\n{\n  int i;\n  int j;\n  int k;\n  \n#pragma ACCEL PIPELINE auto{_p6}\n  \n#pragma ACCEL TILE FACTOR=auto{_p10}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 40; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p8}\n    \n#pragma ACCEL TILE FACTOR=auto{_p12}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (j = 0; j < 50; j++) {\n      tmp[i][j] = 0.0;\n      \n#pragma ACCEL PARALLEL reduction = tmp FACTOR=auto{_p4}\n      for (k = 0; k < 70; ++k) {\n        tmp[i][j] += alpha * A[i][k] * B[k][j];\n      }\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p7}\n  \n#pragma ACCEL TILE FACTOR=auto{_p11}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 40; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (j = 0; j < 80; j++) {\n      D[i][j] *= beta;\n      \n#pragma ACCEL PARALLEL reduction = D FACTOR=auto{_p5}\n      for (k = 0; k < 50; ++k) {\n        D[i][j] += tmp[i][k] * C[k][j];\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:5\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:c\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:8\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:16\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.9\nr0:0.0 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:14\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:3.1 r2:1.8 r3:6.6 V:0\nX:\n_p0:16\n_p1:8\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:2\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:10.3\nr0:0.0 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:8\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:80\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:10\n_p4:1\n_p5:10\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:o\n_p7:f\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:11.0\nr0:0.0 r1:2.9 r2:1.9 r3:6.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:2\n_p12:1\n_p13:1\nY:3.7\nr0:0.0 r1:1.4 r2:1.4 r3:5.3 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:8\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.3\nr0:0.0 r1:2.4 r2:1.6 r3:5.7 V:0\nX:\n_p0:1\n_p1:10\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:8\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:32\n_p1:10\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:8\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.3\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:50\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:7.0\nr0:0.0 r1:2.5 r2:1.6 r3:5.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:5\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.5\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:20\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:80\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:1\n_p5:1\n_p6:o\n_p7:f\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:11.3\nr0:0.0 r1:2.9 r2:1.9 r3:6.5 V:0\nX:\n_p0:8\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:14\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:6.1\nr0:0.0 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.3\nr0:0.0 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r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:2\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:50\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.7\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:7\n_p5:25\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.8\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:2\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:40\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.4 r2:0.2 r3:0.7 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:16\n_p4:16\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.9\nr0:0.0 r1:0.7 r2:0.4 r3:1.3 V:0\nX:\n_p0:2\n_p1:20\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:2\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:32\n_p1:5\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:8\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.1\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nTY:5.8\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:5\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:40\n_p11:8\n_p12:1\n_p13:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[60][80],double ey[60][80],double hz[60][80],double _fict_[40])\n{\n  int t;\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 40; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 60; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 60; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 1; j < 80; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n    for (i = 0; i < 59; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 79; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:59\n_p14:60\n_p15:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:4\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.6\nr0:0.0 r1:1.3 r2:0.7 r3:0.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:79\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:79\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.6\nr0:0.0 r1:1.3 r2:0.7 r3:0.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:8.1\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:6\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:79\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:2.9\nr0:0.0 r1:0.5 r2:0.2 r3:0.4 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:4\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:10\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:59\n_p14:60\n_p15:59\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:59\n_p14:60\n_p15:1\nY:7.9\nr0:0.0 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:4\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:60\n_p15:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:79\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 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V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:12\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:4\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:1.4\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:16\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_trmm(double alpha,double A[60][60],double B[60][80])\n{\n//BLAS parameters\n//SIDE   = 'L'\n//UPLO   = 'L'\n//TRANSA = 'T'\n//DIAG   = 'U'\n// => Form  B := alpha*A**T*B.\n// A is MxM\n// B is MxN\n  \n#pragma ACCEL PIPELINE auto{_p3}\n  \n#pragma ACCEL TILE FACTOR=auto{_p5}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (int i = 0; i < 60; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p4}\n    \n#pragma ACCEL TILE FACTOR=auto{_p6}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (int j = 0; j < 80; j++) {\n      \n#pragma ACCEL PARALLEL reduction=B FACTOR=auto{_p2}\n      for (int k = 0; k < 60; k++) {\n        if (k > i) {\n          B[i][j] += A[k][i] * B[k][j];\n        }\n      }\n      B[i][j] = alpha * B[i][j];\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:8\n_p2:6\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:5\n_p2:3\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:4\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:10\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:30\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:6\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:5\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.2\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.2\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:8\n_p1:1\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:1\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:3\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:2\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.2\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:5\n_p2:10\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:3\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:12\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:2\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:32\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:30\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.2\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:20\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:20\n_p2:2\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:10\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:5\n_p1:1\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:0\nX:\n_p0:1\n_p1:5\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:32\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:10\n_p2:2\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:16\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:1.3\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:10\n_p3:o\n_p4:o\n_p5:1\n_p6:80\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_trmm(double alpha,double A[60][60],double B[60][80])\n{\n//BLAS parameters\n//SIDE   = 'L'\n//UPLO   = 'L'\n//TRANSA = 'T'\n//DIAG   = 'U'\n// => Form  B := alpha*A**T*B.\n// A is MxM\n// B is MxN\n  \n#pragma ACCEL PIPELINE auto{_p3}\n  \n#pragma ACCEL TILE FACTOR=auto{_p5}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (int i = 0; i < 60; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p4}\n    \n#pragma ACCEL TILE FACTOR=auto{_p6}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (int j = 0; j < 80; j++) {\n      double sum = B[i][j];\n#pragma ACCEL PARALLEL reduction=sum FACTOR=auto{_p2}\n      for (int k = 0; k < 60; k++) {\n        if (k > i) {\n          sum += A[k][i] * B[k][j];\n        }\n      }\n      B[i][j] = alpha * sum;\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:10.1\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 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V:0\nX:\n_p0:1\n_p1:2\n_p2:32\n_p3:o\n_p4:o\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:4.9\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:4\n_p2:20\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:8.5\nr0:0 r1:0.6 r2:0.3 r3:1.0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:8.7\nr0:0.0 r1:0.5 r2:0.3 r3:0.8 V:1\nX:\n_p0:3\n_p1:32\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:60\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:4\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.2\nr0:0.0 r1:0.9 r2:7.0 r3:1.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:4.8\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:3\n_p1:4\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.6\nr0:0.0 r1:0.7 r2:5.0 r3:1.1 V:0\nX:\n_p0:2\n_p1:16\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.5\nr0:0.0 r1:1.7 r2:5.8 r3:3.0 V:0\nX:\n_p0:3\n_p1:4\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:8\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:o\n_p4:o\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:8.7\nr0:0.0 r1:0.9 r2:0.6 r3:1.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:4.9\nr0:0.1 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:5\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:12\n_p3:o\n_p4:c\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:8.2\nr0:0.0 r1:0.3 r2:0.2 r3:0.5 V:1\nX:\n_p0:3\n_p1:16\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.8\nr0:0.0 r1:2.4 r2:10.5 r3:4.5 V:0\nX:\n_p0:2\n_p1:2\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.5\nr0:0.0 r1:0.4 r2:2.5 r3:0.4 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:20\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:8.6\nr0:0 r1:1.2 r2:0.7 r3:1.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:c\n_p4:c\n_p5:1\n_p6:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:8.5\nr0:0 r1:0.6 r2:0.3 r3:1.0 V:0\nX:\n_p0:1\n_p1:4\n_p2:60\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:8.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.4 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.7\nr0:0.0 r1:0.9 r2:0.6 r3:1.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:3.9\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nTY:5.0\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:80\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[400],double x2[400],double y_1[400],double y_2[400],double A[400][400])\n{\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 400; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 400; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:7.2\nr0:0.5 r1:0.3 r2:0.2 r3:0.7 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:5.9\nr0:0.2 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:25\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:2\n_p7:400\nY:6.6\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:4\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:5\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:1\n_p7:400\nY:7.0\nr0:0.3 r1:0.1 r2:0.1 r3:0.1 V:1\nX:\n_p0:16\n_p1:10\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:2\n_p7:1\nY:5.9\nr0:0.1 r1:3.2 r2:1.9 r3:6.4 V:0\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:8\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:4\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:3.9\nr0:0.3 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:10\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:5.3\nr0:0.1 r1:2.6 r2:1.5 r3:5.1 V:0\nX:\n_p0:20\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:1\nX:\n_p0:4\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:1\nY:6.4\nr0:0.4 r1:0.2 r2:0.2 r3:0.5 V:1\nX:\n_p0:20\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:2\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:32\n_p1:1\n_p2:16\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:1.0 r2:0.5 r3:0.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:400\n_p7:8\nY:7.4\nr0:0.2 r1:0.6 r2:0.4 r3:0.7 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:16\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:7.0\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:5\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:7.3\nr0:0.2 r1:0.3 r2:0.2 r3:0.7 V:1\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:8\n_p7:1\nY:5.8\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:8\n_p7:400\nY:6.3\nr0:0.4 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:4\n_p7:1\nY:5.9\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:400\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:400\nY:6.6\nr0:0.5 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:5\n_p2:10\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:4.6\nr0:1.0 r1:1.5 r2:0.9 r3:3.2 V:0\nX:\n_p0:16\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:400\nY:6.3\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:5\n_p2:16\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:4.7\nr0:1.1 r1:1.5 r2:0.9 r3:3.2 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:3.2\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:10\n_p3:1\n_p4:o\n_p5:o\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[400],double x2[400],double y_1[400],double y_2[400],double A[400][400])\n{\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 400; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 400; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:5\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.6\nr0:0.1 r1:0.0 r2:0 r3:0.0 V:1\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:1\nY:6.4\nr0:0.4 r1:0.2 r2:0.2 r3:0.5 V:1\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:5\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:3.3\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:32\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:4.3\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:4\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:10\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:5.9\nr0:0.2 r1:0.4 r2:0.2 r3:0.7 V:1\nX:\n_p0:8\n_p1:16\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:8\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:7.9\nr0:0.2 r1:0.6 r2:0.3 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:3.0\nr0:0.2 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:8\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:1\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:4\n_p7:1\nY:6.6\nr0:0.0 r1:0.6 r2:0.3 r3:0.7 V:1\nX:\n_p0:2\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:4\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:4\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:5.3\nr0:0.1 r1:2.6 r2:1.5 r3:5.1 V:0\nX:\n_p0:5\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:1\nY:5.1\nr0:0.2 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.5\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:32\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:10\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:2\n_p7:400\nY:6.1\nr0:0.4 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:10\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:7.2\nr0:0.3 r1:3.2 r2:1.9 r3:6.5 V:0\nX:\n_p0:20\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.1\nr0:0.4 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:32\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:400\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:2\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:6.1\nr0:0.3 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:400\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:5\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:4.3\nr0:0.1 r1:2.6 r2:1.5 r3:5.1 V:0\nX:\n_p0:5\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:1\nY:6.2\nr0:0.4 r1:0.2 r2:0.2 r3:0.5 V:1\nX:\n_p0:16\n_p1:16\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:32\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:25\n_p3:4\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:4.1\nr0:0.2 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:400\n_p7:1\nY:8.0\nr0:0.2 r1:2.6 r2:1.6 r3:5.1 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:400\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:400\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:10\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:8\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:25\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:10\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.3\nr0:0.3 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:4\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:16\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:400\nY:7.2\nr0:0.4 r1:0.1 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.2\nr0:0.1 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:2\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:5.6\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:400\n_p7:1\nY:7.2\nr0:0.5 r1:0.3 r2:0.2 r3:0.7 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:6.2\nr0:0.9 r1:0.4 r2:0.2 r3:0.6 V:0\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:8\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:4.9\nr0:0.2 r1:0.3 r2:0.2 r3:0.7 V:1\nX:\n_p0:1\n_p1:1\n_p2:25\n_p3:10\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:4.4\nr0:0.3 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:20\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:0\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:25\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.1\nr0:0.3 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:16\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:4\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:6.0\nr0:0.3 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:8\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:2\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:3.8\nr0:1.0 r1:1.5 r2:0.9 r3:3.2 V:0\nX:\n_p0:20\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:1\nY:7.1\nr0:0.4 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.8\nr0:0.4 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:5\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:2\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:5\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:7.3\nr0:0.2 r1:0.3 r2:0.2 r3:0.7 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.2\nr0:0.2 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:25\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:25\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:5.1\nr0:0.3 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:16\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:6.0\nr0:0.1 r1:0.6 r2:0.3 r3:0.6 V:1\nX:\n_p0:20\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:2\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:6.6\nr0:0.2 r1:0.9 r2:0.5 r3:1.3 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:4.3\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:16\n_p1:16\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:10\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:2\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:32\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:400\nY:7.1\nr0:0.3 r1:0.4 r2:0.2 r3:0.3 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:2\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:7.2\nr0:0.4 r1:0.3 r2:0.2 r3:0.7 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:7.8\nr0:0.4 r1:0.5 r2:0.3 r3:0.8 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:5.3\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:25\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:5\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:1\n_p7:1\nY:6.9\nr0:0.3 r1:0.1 r2:0.1 r3:0.1 V:1\nX:\n_p0:5\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:20\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:7.3\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:400\n_p7:1\nY:5.9\nr0:0.4 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:32\n_p1:16\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:1\nY:7.0\nr0:0.3 r1:0.4 r2:0.2 r3:0.3 V:1\nTY:4.8\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:4\n_p3:10\n_p4:o\n_p5:o\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[60][80],double ey[60][80],double hz[60][80],double _fict_[40])\n{\n  int t;\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 40; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 60; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 60; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 1; j < 80; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n    for (i = 0; i < 59; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 79; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:16\n_p2:4\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.0 r1:0.7 r2:0.4 r3:0.6 V:1\nX:\n_p0:40\n_p1:16\n_p2:4\n_p3:1\n_p4:2\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:59\n_p14:60\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.6\nr0:0.0 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:4\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.0 r1:0.7 r2:0.3 r3:0.6 V:1\nX:\n_p0:5\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:59\n_p14:60\n_p15:59\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:59\n_p14:60\n_p15:8\nY:3.5\nr0:0.0 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:4\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:59\nY:6.7\nr0:0.0 r1:0.7 r2:0.3 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:10\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:59\n_p14:60\n_p15:59\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:f\n_p9:o\n_p10:o\n_p11:o\n_p12:8\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.7\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:20\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:16\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:4\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:8.9\nr0:0.0 r1:0.7 r2:0.3 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:1\n_p8:o\n_p9:f\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:8.1\nr0:0.0 r1:1.3 r2:0.7 r3:0.9 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:2\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:59\n_p14:1\n_p15:1\nY:7.9\nr0:0.0 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:8\nY:3.2\nr0:0.0 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:16\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:8.6\nr0:0.0 r1:0.4 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.5\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:32\n_p8:o\n_p9:f\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:59\n_p14:60\n_p15:1\nY:7.9\nr0:0.0 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:1\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:8.0\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:8\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.7\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:59\n_p14:60\n_p15:1\nY:1.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:6.7\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:3\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:16\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:40\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:60\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:2\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:c\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:60\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:4\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:60\n_p15:1\nY:1.5\nr0:0.0 r1:0.7 r2:0.4 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:2\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.1\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:59\n_p14:60\n_p15:59\nY:8.8\nr0:0.0 r1:0.4 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:2\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:79\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.7\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:8\nY:3.2\nr0:0.0 r1:0.8 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:32\n_p6:1\n_p7:1\n_p8:c\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:59\n_p14:60\n_p15:59\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:3.6\nr0:0.0 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:2\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.6\nr0:0.0 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:8\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.6\nr0:0.0 r1:2.4 r2:1.3 r3:1.8 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.1\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:10\n_p1:16\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:59\n_p14:60\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.6\nr0:0.0 r1:0.6 r2:0.3 r3:0.5 V:1\nTY:4.6\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[120], double x2[120], double y_1[120], double y_2[120], double A[120][120])\n{\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 120; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 120; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:24\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:3\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:9.1\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:8\nY:10.7\nr0:0.1 r1:0.9 r2:0.6 r3:1.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:20\n_p4:f\n_p5:c\n_p6:2\n_p7:120\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:30\n_p4:c\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:1\n_p2:8\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:9.2\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:3\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:8\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:16\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:1\n_p7:1\nY:8.7\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:2\n_p1:3\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:8\nY:8.4\nr0:0.0 r1:0.5 r2:0.3 r3:1.0 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:20\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:9.3\nr0:0.2 r1:0.2 r2:0.2 r3:0.3 V:1\nX:\n_p0:8\n_p1:10\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:8\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:24\n_p3:1\n_p4:c\n_p5:f\n_p6:120\n_p7:1\nY:10.0\nr0:0.0 r1:0.5 r2:0.3 r3:0.8 V:1\nX:\n_p0:8\n_p1:15\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:2\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:24\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:9.6\nr0:0.0 r1:2.3 r2:1.4 r3:4.7 V:0\nX:\n_p0:20\n_p1:1\n_p2:24\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:4\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:6\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:8\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:7.7\nTV:1\n", "outputs":"### outputs: _p0:8\n_p1:3\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:1\n_p7:8\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_covariance(int m,int n,double float_n,double data[100][80],double cov[80][80],double mean[80])\n{\n  int i;\n  int j;\n  int k;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p6}\n  \n#pragma ACCEL TILE FACTOR=auto{_p10}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (j = 0; j < 80; j++) {\n    mean[j] = 0.0;\n    \n#pragma ACCEL PARALLEL reduction=mean FACTOR=auto{_p3}\n    for (i = 0; i < 100; i++) {\n      mean[j] += data[i][j];\n    }\n    mean[j] /= float_n;\n  }\n  \n#pragma ACCEL PIPELINE auto{_p7}\n  \n#pragma ACCEL TILE FACTOR=auto{_p11}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 100; i++) {\n    \n#pragma ACCEL PARALLEL reduction=data FACTOR=auto{_p4}\n    for (j = 0; j < 80; j++) {\n      data[i][j] -= mean[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    for (j = i; j < 80; j++) {\n      cov[i][j] = 0.0;\n      \n#pragma ACCEL PARALLEL reduction=cov FACTOR=auto{_p5}\n      for (k = 0; k < 100; k++) {\n        cov[i][j] += data[k][i] * data[k][j];\n      }\n      cov[i][j] /= float_n - 1.0;\n      cov[j][i] = cov[i][j];\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:8\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.3\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:25\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:2\n_p12:1\nY:3.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.1 V:1\nX:\n_p0:8\n_p1:20\n_p2:20\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:4\nY:4.3\nr0:0.0 r1:0.5 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:2\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:f\n_p7:o\n_p8:c\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:2\n_p12:1\nY:1.4\nr0:0.0 r1:0.2 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:1\n_p5:8\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:4\n_p2:1\n_p3:32\n_p4:1\n_p5:16\n_p6:c\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:4\n_p2:1\n_p3:32\n_p4:1\n_p5:16\n_p6:c\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:1\n_p5:25\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.9\nr0:0.0 r1:0.6 r2:0.7 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:8\n_p12:1\nY:3.3\nr0:0.0 r1:0.3 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:20\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:5\n_p6:o\n_p7:o\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:2\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:8\n_p11:8\n_p12:1\nY:3.6\nr0:0.0 r1:0.6 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:32\n_p6:f\n_p7:f\n_p8:c\n_p9:c\n_p10:1\n_p11:2\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:1\n_p5:100\n_p6:f\n_p7:f\n_p8:c\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:1.5\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:2\n_p1:4\n_p2:20\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:4\nY:4.3\nr0:0.0 r1:0.5 r2:0.2 r3:0.2 V:1\nX:\n_p0:8\n_p1:2\n_p2:10\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:8\nY:4.3\nr0:0.0 r1:0.3 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:10\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.7\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nTY:4.3\nTV:1\n", "outputs":"### outputs: _p0:8\n_p1:10\n_p2:10\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:8\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[400],double x2[400],double y_1[400],double y_2[400],double A[400][400])\n{\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 400; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 400; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:4\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:6.8\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:400\n_p7:1\nY:8.0\nr0:0.2 r1:2.6 r2:1.6 r3:5.1 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:5\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:6.3\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:16\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:400\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:25\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:5.1\nr0:0.3 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:5\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:400\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:4.1\nr0:0.1 r1:0.9 r2:0.5 r3:1.3 V:0\nX:\n_p0:1\n_p1:25\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:2\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.2\nr0:0.2 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:5\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:4.0\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:5\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:4\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:400\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:32\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:5\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:3.5\nr0:0.2 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:1\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:3.2\nr0:0.1 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:20\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:1\nY:7.1\nr0:0.4 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:8\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:6.6\nr0:0.2 r1:0.9 r2:0.5 r3:1.3 V:0\nX:\n_p0:4\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:7.9\nr0:0.2 r1:0.9 r2:0.5 r3:1.3 V:0\nX:\n_p0:25\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:25\n_p3:2\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:3.7\nr0:0.2 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:4.5\nr0:0.3 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:400\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:6.1\nr0:0.9 r1:0.1 r2:0.0 r3:0.0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:4.5\nr0:0.1 r1:0.6 r2:0.3 r3:0.6 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:4\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:7.2\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.2\nr0:0.1 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:3.5\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:2\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:8\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:8\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:4.9\nr0:0.2 r1:0.3 r2:0.2 r3:0.7 V:1\nX:\n_p0:16\n_p1:5\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:4.9\nr0:1.2 r1:1.6 r2:1.0 r3:3.3 V:0\nX:\n_p0:4\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:10\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.1\nr0:0.1 r1:0.0 r2:0 r3:0.0 V:1\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:20\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:6.9\nr0:0.4 r1:0.4 r2:0.3 r3:0.6 V:1\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:4\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:4\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:2\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:4\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:5.1\nr0:0.1 r1:1.5 r2:0.8 r3:2.6 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:2\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:4.3\nr0:0.3 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:5.6\nr0:0.2 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:4\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:16\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:4\n_p7:1\nY:5.8\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:2\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:7.2\nr0:0.6 r1:0.6 r2:0.4 r3:1.3 V:0\nX:\n_p0:1\n_p1:25\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:400\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:1\nY:0.1\nr0:0.4 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:5\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:5.6\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:4\n_p2:16\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:6.5\nr0:0.2 r1:1.5 r2:0.8 r3:2.6 V:0\nX:\n_p0:8\n_p1:1\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:400\nY:7.2\nr0:0.3 r1:2.6 r2:1.5 r3:5.1 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:6.5\nr0:0.2 r1:0.6 r2:0.3 r3:0.6 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:8\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:10\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:1\n_p7:1\nY:7.0\nr0:0.4 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:2\n_p7:1\nY:5.9\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:16\n_p1:16\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:2\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:2\nY:4.9\nr0:1.1 r1:1.8 r2:1.1 r3:3.8 V:0\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:10\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:6.9\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:5\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:5.5\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:10\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:2\n_p7:400\nY:6.1\nr0:0.4 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:400\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:32\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:2\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:25\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.5\nr0:0.4 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:16\n_p1:1\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:25\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:4.2\nr0:0.2 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:2\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:4\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:5.0\nr0:0.4 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:3.5\nr0:0.3 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:5\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.9\nr0:0.1 r1:0.0 r2:0 r3:0.0 V:1\nX:\n_p0:20\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:10\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:4.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:400\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:400\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:10\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:1\nY:5.7\nr0:0.3 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:10\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:5.3\nr0:0.8 r1:1.2 r2:0.7 r3:2.6 V:0\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:25\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:8.8\nr0:0.4 r1:0.5 r2:0.3 r3:0.8 V:0\nX:\n_p0:8\n_p1:16\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:1\nY:5.6\nr0:0.3 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:2\nY:7.9\nr0:0.2 r1:2.8 r2:1.7 r3:5.8 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:400\n_p7:1\nY:6.0\nr0:0.2 r1:3.2 r2:2.0 r3:6.4 V:0\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:8\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:400\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:10\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.1\nr0:0.4 r1:0.1 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:5\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:3.3\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nTY:5.0\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:20\n_p3:5\n_p4:o\n_p5:o\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[400],double x2[400],double y_1[400],double y_2[400],double A[400][400])\n{\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 400; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 400; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n}\n ```\nX:\n_p0:20\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:2\n_p7:1\nY:6.2\nr0:0.4 r1:0.2 r2:0.2 r3:0.5 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V:0\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:4\n_p7:1\nY:5.9\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:25\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:8\n_p7:1\nY:5.8\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:2\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:5.6\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:1\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:3.5\nr0:0.2 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:4\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:3.9\nr0:0.3 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:2\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:10\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:4.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:25\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.1\nr0:0.3 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:4\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:4.8\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:1\nY:1.1\nr0:0.4 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:3.6\nr0:0.1 r1:2.6 r2:1.5 r3:5.1 V:0\nX:\n_p0:8\n_p1:16\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:8\n_p7:1\nY:5.8\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:5\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:8\n_p7:400\nY:6.4\nr0:0.2 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:5\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:16\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:8\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:5\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:7.3\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:25\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:3.5\nr0:0.3 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:20\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:7.8\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:1\n_p7:400\nY:6.3\nr0:0.4 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:400\nY:6.2\nr0:0.4 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:2\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:32\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:7.1\nr0:0.5 r1:0.3 r2:0.2 r3:0.7 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:4.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:1\nY:5.9\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:400\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.9\nr0:0.2 r1:1.5 r2:0.8 r3:2.6 V:0\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.1\nr0:0.5 r1:0.1 r2:0.1 r3:0.1 V:1\nX:\n_p0:16\n_p1:25\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:5.6\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:16\n_p1:16\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:1\nY:5.9\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:10\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:7.2\nr0:0.3 r1:3.2 r2:1.9 r3:6.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:3.2\nr0:0.3 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:25\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:1\nY:6.1\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:5\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:7.1\nr0:0.5 r1:0.3 r2:0.2 r3:0.7 V:1\nX:\n_p0:10\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:4\n_p7:1\nY:6.1\nr0:0.4 r1:0.1 r2:0.1 r3:0.3 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:400\n_p7:1\nY:7.9\nr0:0.2 r1:0.9 r2:0.5 r3:1.3 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:8\nY:7.9\nr0:0.2 r1:1.2 r2:0.7 r3:1.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:25\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.3\nr0:0.3 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:2\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:3.5\nr0:0.1 r1:0.0 r2:0 r3:0.0 V:1\nTY:7.0\nTV:1\n", "outputs":"### outputs: _p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_trmm(double alpha,double A[60][60],double B[60][80])\n{\n//BLAS parameters\n//SIDE   = 'L'\n//UPLO   = 'L'\n//TRANSA = 'T'\n//DIAG   = 'U'\n// => Form  B := alpha*A**T*B.\n// A is MxM\n// B is MxN\n  \n#pragma ACCEL PIPELINE auto{_p3}\n  \n#pragma ACCEL TILE FACTOR=auto{_p5}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (int i = 0; i < 60; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p4}\n    \n#pragma ACCEL TILE FACTOR=auto{_p6}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (int j = 0; j < 80; j++) {\n      \n#pragma ACCEL PARALLEL reduction=B FACTOR=auto{_p2}\n      for (int k = 0; k < 60; k++) {\n        if (k > i) {\n          B[i][j] += A[k][i] * B[k][j];\n        }\n      }\n      B[i][j] = alpha * B[i][j];\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.2\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:10\n_p2:5\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:8\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:15\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:12\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:32\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:16\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:15\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 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V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.2\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:10\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.2\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:4\n_p1:1\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:8\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:6\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:16\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:2\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:6\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:8\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:2\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:30\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:32\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:3\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:80\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:15\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:5\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:5\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nTY:1.3\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:80\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[200][240],double ey[200][240],double hz[200][240],double _fict_[100])\n{\n  int t;\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 100; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 240; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 0; j < 240; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (i = 0; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n      for (j = 1; j < 240; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 200 - 1; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 240 - 1; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:2\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-3.2\nr0:0.9 r1:0.9 r2:0.6 r3:1.0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-0.0\nr0:0.1 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:8\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.5 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:8\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.9\nr0:0.6 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.5 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.5 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.6 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:32\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.4\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:6\n_p6:1\n_p7:4\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:32\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:5\n_p6:1\n_p7:2\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.2\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:5\n_p1:16\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:199\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:10\n_p6:1\n_p7:239\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.1\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:8\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:1\n_p7:239\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:199\n_p3:1\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:f\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:8\n_p8:o\n_p9:f\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:2\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:10\n_p1:16\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.5 r1:0.6 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:10\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:199\n_p3:16\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:2\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.7 r1:1.0 r2:0.7 r3:1.0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:3\n_p6:1\n_p7:2\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.2\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:32\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:2.0\nr0:0.6 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:1\n_p7:239\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:2.0\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.4 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:8\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.2 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:5\n_p1:16\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.5 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.3 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:10\n_p6:1\n_p7:2\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:239\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.8\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:4\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.1\nr0:0.6 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-0.3\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 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V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:6\n_p6:1\n_p7:16\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.9\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:4\n_p8:o\n_p9:f\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:239\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:4\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.3\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:100\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:f\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.2 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:8\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:1\n_p6:1\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.6 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:32\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-0.2\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:239\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.5 r1:0.9 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:5\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:3\n_p6:1\n_p7:239\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:1.0\nTV:0\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[200][240],double ey[200][240],double hz[200][240],double _fict_[100])\n{\n  int t;\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 100; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 240; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 0; j < 240; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (i = 0; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n      for (j = 1; j < 240; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 200 - 1; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 240 - 1; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:4\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.6 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:5\n_p6:1\n_p7:239\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.3\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.6 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:2.0\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:2\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:10\n_p6:1\n_p7:2\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:239\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.8\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:1\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.3 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.2 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:8\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.2 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:4\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.4\nr0:0.2 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:1\n_p6:1\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:16\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:4\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:c\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:8\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-3.3\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:16\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:8\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.3\nr0:0.6 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.3\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.4 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:10\n_p1:1\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:8\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.2 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.9\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:1\n_p7:16\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:2.0\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:199\n_p3:16\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:239\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.7\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:2\n_p8:o\n_p9:f\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:239\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.5 r1:0.9 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:239\n_p7:16\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.2\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:239\n_p7:4\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-0.2\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nTY:0.3\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_syr2k(double alpha,double beta,double C[80][80],double A[80][60],double B[80][60])\n{\n  int i;\n  int j;\n  int k;\n//BLAS PARAMS\n//UPLO  = 'L'\n//TRANS = 'N'\n//A is NxM\n//B is NxM\n//C is NxN\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      if (j <= i) {\n        C[i][j] *= beta;\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p5}\n    \n#pragma ACCEL TILE FACTOR=auto{_p7}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (k = 0; k < 60; k++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        if (j <= i) {\n          C[i][j] += A[j][k] * alpha * B[i][k] + B[j][k] * alpha * A[i][k];\n        }\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:2\n_p2:5\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:3\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.7\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:5.7\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:6\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:5\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:10\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.4\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.1 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:5\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.5\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:8\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:4\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:8\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:6\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:6\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:5\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:80\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.2\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:4\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.8\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.4\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:6\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:8\nY:6.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:2.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:1\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:16\n_p2:2\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:5\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.4\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:2\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:5\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:5.7\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:4\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:5\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:3\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.0\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:4\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nTY:7.5\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:10\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[120], double x2[120], double y_1[120], double y_2[120], double A[120][120])\n{\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 120; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 120; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:8\n_p1:24\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:3\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:4\nY:8.4\nr0:0.0 r1:0.7 r2:0.4 r3:1.4 V:0\nX:\n_p0:2\n_p1:24\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:4\n_p7:1\nY:10.6\nr0:0.0 r1:2.3 r2:1.4 r3:4.6 V:0\nX:\n_p0:8\n_p1:2\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:5\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:9.2\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:16\n_p4:c\n_p5:o\n_p6:1\n_p7:1\nY:7.1\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:30\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.4\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.4\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.0\nr0:0.0 r1:0.3 r2:0.1 r3:0.4 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:120\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:8\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:2\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:1\n_p7:2\nY:3.7\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:5\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.8\nr0:0.0 r1:0.0 r2:0 r3:0.0 V:1\nX:\n_p0:1\n_p1:3\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:12\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:10\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.2\nr0:0.0 r1:0.0 r2:0 r3:0.0 V:1\nX:\n_p0:8\n_p1:30\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:10\n_p2:24\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:8\nY:8.8\nr0:0.0 r1:1.4 r2:1.0 r3:2.4 V:0\nX:\n_p0:4\n_p1:4\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:16\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:30\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:4\n_p7:1\nY:10.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:5\n_p1:24\n_p2:1\n_p3:20\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:11.2\nr0:0.0 r1:0.8 r2:0.5 r3:1.2 V:0\nX:\n_p0:1\n_p1:4\n_p2:6\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:8.4\nr0:0.0 r1:0.4 r2:0.2 r3:0.8 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:16\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:9.4\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:8\n_p1:16\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:10.6\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:8\n_p2:1\n_p3:4\n_p4:f\n_p5:o\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_trmm(double alpha,double A[60][60],double B[60][80])\n{\n//BLAS parameters\n//SIDE   = 'L'\n//UPLO   = 'L'\n//TRANSA = 'T'\n//DIAG   = 'U'\n// => Form  B := alpha*A**T*B.\n// A is MxM\n// B is MxN\n  \n#pragma ACCEL PIPELINE auto{_p3}\n  \n#pragma ACCEL TILE FACTOR=auto{_p5}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (int i = 0; i < 60; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p4}\n    \n#pragma ACCEL TILE FACTOR=auto{_p6}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (int j = 0; j < 80; j++) {\n      double sum = B[i][j];\n#pragma ACCEL PARALLEL reduction=sum FACTOR=auto{_p2}\n      for (int k = 0; k < 60; k++) {\n        if (k > i) {\n          sum += A[k][i] * B[k][j];\n        }\n      }\n      B[i][j] = alpha * sum;\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:o\n_p4:c\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:30\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:15\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:3\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.4\nr0:0.0 r1:1.5 r2:6.6 r3:2.8 V:0\nX:\n_p0:1\n_p1:80\n_p2:60\n_p3:c\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:15\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:4\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.1\nr0:0.0 r1:0.5 r2:2.6 r3:0.8 V:0\nX:\n_p0:1\n_p1:10\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:8\nY:8.5\nr0:0 r1:0.6 r2:0.3 r3:1.0 V:0\nX:\n_p0:1\n_p1:2\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:80\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:20\n_p3:o\n_p4:c\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:8.6\nr0:0 r1:1.2 r2:0.7 r3:1.9 V:0\nX:\n_p0:1\n_p1:20\n_p2:30\n_p3:o\n_p4:c\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:12\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:30\n_p3:o\n_p4:c\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:c\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:4.9\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:4\n_p1:16\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.7\nr0:0.0 r1:3.1 r2:14.8 r3:6.0 V:0\nX:\n_p0:1\n_p1:1\n_p2:30\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:5.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:6\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:60\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:4\n_p1:5\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:9.8\nr0:0.0 r1:1.0 r2:4.6 r3:1.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:80\nY:10.1\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:2.7\nr0:0.0 r1:0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:4\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:8.7\nr0:0.0 r1:0.9 r2:0.6 r3:1.5 V:0\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:4\nY:8.6\nr0:0 r1:1.2 r2:0.7 r3:1.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:5.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.6\nr0:0 r1:1.2 r2:0.7 r3:1.9 V:0\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.2\nr0:0.0 r1:0.3 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:2\n_p2:32\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:30\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:5.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:5.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:12\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.7\nr0:0.0 r1:0.9 r2:0.6 r3:1.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:4.5\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:3\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:11.5\nTV:0\n", "outputs":"### outputs: _p0:2\n_p1:16\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_2mm(int ni,int nj,int nk,int nl,double alpha,double beta,double tmp[40][50],double A[40][70],double B[70][50],double C[50][80],double D[40][80])\n{\n  int i;\n  int j;\n  int k;\n  \n#pragma ACCEL PIPELINE auto{_p6}\n  \n#pragma ACCEL TILE FACTOR=auto{_p10}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 40; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p8}\n    \n#pragma ACCEL TILE FACTOR=auto{_p12}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (j = 0; j < 50; j++) {\n      tmp[i][j] = 0.0;\n      \n#pragma ACCEL PARALLEL reduction = tmp FACTOR=auto{_p4}\n      for (k = 0; k < 70; ++k) {\n        tmp[i][j] += alpha * A[i][k] * B[k][j];\n      }\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p7}\n  \n#pragma ACCEL TILE FACTOR=auto{_p11}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 40; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (j = 0; j < 80; j++) {\n      D[i][j] *= beta;\n      \n#pragma ACCEL PARALLEL reduction = D FACTOR=auto{_p5}\n      for (k = 0; k < 50; ++k) {\n        D[i][j] += tmp[i][k] * C[k][j];\n      }\n    }\n  }\n}\n ```\nX:\n_p0:32\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:2\nY:5.7\nr0:0.0 r1:0.4 r2:0.2 r3:0.7 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:4\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:2\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:40\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:8.6\nr0:0.0 r1:2.8 r2:1.9 r3:6.6 V:0\nX:\n_p0:1\n_p1:4\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:2\n_p12:1\n_p13:1\nY:5.7\nr0:0.0 r1:1.2 r2:0.7 r3:2.6 V:0\nX:\n_p0:16\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:4\n_p11:1\n_p12:1\n_p13:1\nY:3.5\nr0:0.0 r1:1.4 r2:1.3 r3:4.7 V:0\nX:\n_p0:1\n_p1:5\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:10\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.5\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:10\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:80\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:10\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:4\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:c\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:16\n_p4:70\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:9.3\nr0:0.0 r1:0.9 r2:0.6 r3:1.3 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:1\n_p5:16\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.4\nr0:0.0 r1:2.4 r2:1.6 r3:5.7 V:0\nTY:10.9\nTV:0\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:70\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[200][240],double ey[200][240],double hz[200][240],double _fict_[100])\n{\n  int t;\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 100; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 240; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 0; j < 240; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (i = 0; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n      for (j = 1; j < 240; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 200 - 1; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 240 - 1; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n}\n ```\nX:\n_p0:10\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:f\n_p9:o\n_p10:o\n_p11:o\n_p12:8\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:10\n_p6:1\n_p7:2\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:5\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:5\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:f\n_p9:o\n_p10:o\n_p11:o\n_p12:8\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:200\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:239\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:2.0\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:1\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:16\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:8\n_p8:o\n_p9:f\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:16\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:239\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:5\n_p6:1\n_p7:4\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:239\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:1\n_p7:4\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:2\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.9\nr0:0.5 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:4\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.1\nr0:0.6 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:239\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.5 r1:0.9 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:239\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.5 r1:0.9 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:16\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:16\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.6\nr0:0.5 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:8\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.5 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:32\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.6 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:32\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:8\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:239\n_p8:o\n_p9:f\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-3.3\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:10\n_p6:1\n_p7:239\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.1\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:32\n_p2:8\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:6\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:2.0\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.1\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:239\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:32\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.9\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:199\n_p3:10\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:4\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:10\n_p6:1\n_p7:16\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:2.1\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:199\n_p14:1\n_p15:199\nY:-0.0\nr0:0.1 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:6\n_p6:1\n_p7:239\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:8\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:8\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.3\nr0:0.5 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.6 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-0.2\nr0:0.2 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:1\n_p8:o\n_p9:f\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.6 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:2\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.8\nr0:0.5 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.5 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:16\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.3\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:1\n_p7:16\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.2\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:1\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-3.3\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nTY:1.0\nTV:0\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:239\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[200][240],double ey[200][240],double hz[200][240],double _fict_[100])\n{\n  int t;\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 100; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 240; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 0; j < 240; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (i = 0; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n      for (j = 1; j < 240; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 200 - 1; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 240 - 1; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.1\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:199\n_p3:200\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:16\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.2 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:f\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:6.8\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.3 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:239\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:2.0\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:239\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:16\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:5\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.9\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:32\n_p7:2\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:8\n_p8:o\n_p9:f\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:f\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:f\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.9\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:239\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.5\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:100\n_p1:32\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:239\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:2.6\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:5\n_p6:1\n_p7:4\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.4\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:1\n_p7:8\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.9\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:239\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:1\n_p6:1\n_p7:32\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:10\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:239\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.2\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-0.0\nr0:0.1 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:2\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.2\nr0:0.5 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:16\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.2 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:1\n_p7:16\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.7\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:1\n_p6:1\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:16\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.3\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:3\n_p6:1\n_p7:16\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:1\n_p4:199\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-3.2\nr0:0.9 r1:0.6 r2:0.4 r3:0.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.5 r1:0.9 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:1.1\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:32\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[120], double x2[120], double y_1[120], double y_2[120], double A[120][120])\n{\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 120; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 120; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:4\n_p1:24\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:1\nX:\n_p0:2\n_p1:30\n_p2:1\n_p3:16\n_p4:f\n_p5:o\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:4\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:24\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:2\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:2\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:10\n_p3:24\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.8\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:15\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:10\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:4\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:9.2\nTV:1\n", "outputs":"### outputs: _p0:2\n_p1:1\n_p2:8\n_p3:30\n_p4:o\n_p5:c\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[120], double x2[120], double y_1[120], double y_2[120], double A[120][120])\n{\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 120; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 120; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:15\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:10.3\nr0:0.1 r1:0.3 r2:0.3 r3:0.4 V:1\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:1\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:15\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.3\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.3 r2:0.1 r3:0.4 V:1\nX:\n_p0:1\n_p1:8\n_p2:8\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:9.2\nr0:0.0 r1:0.8 r2:0.4 r3:1.5 V:0\nX:\n_p0:1\n_p1:12\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:120\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:10.7\nr0:0.1 r1:0.3 r2:0.2 r3:0.4 V:1\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:2\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:10.0\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:12\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:8.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:120\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:10.3\nr0:0.1 r1:1.6 r2:1.0 r3:3.1 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:15\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:9.6\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:2\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:4\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:30\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.4\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:32\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:30\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:9.8\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:15\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:11.1\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:2\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:120\n_p7:1\nY:9.5\nr0:0.1 r1:0.5 r2:0.2 r3:0.8 V:1\nX:\n_p0:1\n_p1:4\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:120\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:12\n_p4:c\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:5\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:10.2\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:12\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:1\n_p7:1\nY:10.0\nr0:0.1 r1:0.1 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:6\n_p2:3\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.6 r2:0.3 r3:1.2 V:0\nX:\n_p0:1\n_p1:1\n_p2:24\n_p3:3\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:8.0\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:32\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:4\n_p2:24\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:11.3\nr0:0.0 r1:0.6 r2:0.3 r3:0.8 V:1\nX:\n_p0:1\n_p1:15\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:120\n_p7:2\nY:7.5\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:8\n_p1:8\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:1\n_p2:24\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:0\nX:\n_p0:8\n_p1:15\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:8\n_p4:c\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:5\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:120\n_p7:120\nY:9.7\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:4\n_p1:4\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:20\n_p2:24\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:10.3\nr0:0.0 r1:2.2 r2:1.4 r3:4.1 V:0\nX:\n_p0:1\n_p1:10\n_p2:5\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:1.0 r2:0.6 r3:1.9 V:0\nX:\n_p0:4\n_p1:1\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:5\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:0\nX:\n_p0:3\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:2\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:120\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:24\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:1\n_p7:1\nY:10.7\nr0:0.2 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:4\n_p1:1\n_p2:10\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.2\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:30\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.4\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:2\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:8\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:10.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:6\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:120\n_p7:2\nY:7.5\nr0:0.0 r1:0.0 r2:0.0 r3:0.1 V:1\nX:\n_p0:4\n_p1:2\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:2\n_p7:4\nY:7.9\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:12\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:9.9\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:3\n_p1:1\n_p2:1\n_p3:120\n_p4:f\n_p5:c\n_p6:1\n_p7:120\nY:11.2\nr0:0.1 r1:0.6 r2:0.3 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:6\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.1\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:15\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:8\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:5\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:8\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:24\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:11.3\nr0:0.0 r1:2.3 r2:1.4 r3:4.6 V:0\nTY:8.4\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:16\n_p3:15\n_p4:o\n_p5:o\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_trmm(double alpha,double A[60][60],double B[60][80])\n{\n//BLAS parameters\n//SIDE   = 'L'\n//UPLO   = 'L'\n//TRANSA = 'T'\n//DIAG   = 'U'\n// => Form  B := alpha*A**T*B.\n// A is MxM\n// B is MxN\n  \n#pragma ACCEL PIPELINE auto{_p3}\n  \n#pragma ACCEL TILE FACTOR=auto{_p5}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (int i = 0; i < 60; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p4}\n    \n#pragma ACCEL TILE FACTOR=auto{_p6}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (int j = 0; j < 80; j++) {\n      double sum = B[i][j];\n#pragma ACCEL PARALLEL reduction=sum FACTOR=auto{_p2}\n      for (int k = 0; k < 60; k++) {\n        if (k > i) {\n          sum += A[k][i] * B[k][j];\n        }\n      }\n      B[i][j] = alpha * sum;\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:o\n_p4:c\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:0\nX:\n_p0:1\n_p1:4\n_p2:8\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:3\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.4\nr0:0.0 r1:1.5 r2:6.6 r3:2.8 V:0\nX:\n_p0:1\n_p1:32\n_p2:3\n_p3:o\n_p4:c\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:16\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:4.0\nr0:0.0 r1:0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:80\n_p2:2\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:8.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.4 V:1\nX:\n_p0:1\n_p1:4\n_p2:60\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:8.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.4 V:1\nX:\n_p0:1\n_p1:16\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:4\n_p3:o\n_p4:c\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:0\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:4.9\nr0:0.1 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.2\nr0:0.0 r1:0.3 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:15\n_p3:o\n_p4:o\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:c\n_p4:f\n_p5:2\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:4.5\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:4\n_p2:6\n_p3:o\n_p4:c\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.7\nr0:0.0 r1:0.5 r2:0.3 r3:0.8 V:1\nX:\n_p0:1\n_p1:4\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:8.5\nTV:0\n", "outputs":"### outputs: _p0:1\n_p1:10\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_trmm(double alpha,double A[60][60],double B[60][80])\n{\n//BLAS parameters\n//SIDE   = 'L'\n//UPLO   = 'L'\n//TRANSA = 'T'\n//DIAG   = 'U'\n// => Form  B := alpha*A**T*B.\n// A is MxM\n// B is MxN\n  \n#pragma ACCEL PIPELINE auto{_p3}\n  \n#pragma ACCEL TILE FACTOR=auto{_p5}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (int i = 0; i < 60; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p4}\n    \n#pragma ACCEL TILE FACTOR=auto{_p6}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (int j = 0; j < 80; j++) {\n      \n#pragma ACCEL PARALLEL reduction=B FACTOR=auto{_p2}\n      for (int k = 0; k < 60; k++) {\n        if (k > i) {\n          B[i][j] += A[k][i] * B[k][j];\n        }\n      }\n      B[i][j] = alpha * B[i][j];\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:2\n_p2:32\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:2\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.2\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:2\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:80\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:0\nX:\n_p0:1\n_p1:80\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:15\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:4\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:5\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.2\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:8\n_p2:3\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:15\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:15\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:8\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:15\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:32\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:4\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:16\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:5\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:5\n_p2:20\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:16\n_p2:15\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:3\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:4\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:o\n_p4:o\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:4\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:30\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:1\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:5\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:4\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:o\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:80\n_p2:4\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:1.2\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:80\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[120], double x2[120], double y_1[120], double y_2[120], double A[120][120])\n{\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 120; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 120; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:2\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:8\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:1\n_p2:8\n_p3:12\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:8.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:15\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:8.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:1\n_p2:32\n_p3:1\n_p4:c\n_p5:f\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:12\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:8.7\nr0:0.0 r1:1.0 r2:0.6 r3:1.9 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:10\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:9.8\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:4\n_p1:8\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:2\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:8\nY:10.5\nr0:0.0 r1:0.6 r2:0.3 r3:0.8 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:15\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:3\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:120\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:5\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:9.2\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:4\n_p1:1\n_p2:12\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.8\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:12\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:3\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.1\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:2\n_p1:1\n_p2:8\n_p3:24\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:9.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:1\n_p2:10\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:8.6\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:6\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:10.0\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:4\n_p1:24\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:120\n_p7:1\nY:9.6\nr0:0.1 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:4\n_p1:1\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:2\n_p7:120\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:120\n_p7:1\nY:8.4\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:5\n_p2:2\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:7.2\nr0:0.0 r1:0.5 r2:0.3 r3:1.0 V:0\nX:\n_p0:20\n_p1:1\n_p2:24\n_p3:1\n_p4:c\n_p5:f\n_p6:4\n_p7:120\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:8\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:12\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:6\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:4\nY:8.4\nr0:0.1 r1:0.0 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:5\n_p2:120\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:8.4\nr0:0.1 r1:0.5 r2:0.3 r3:1.0 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:120\n_p7:8\nY:8.8\nr0:0.1 r1:1.1 r2:0.6 r3:2.1 V:0\nX:\n_p0:8\n_p1:5\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:5\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.0\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:5\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:120\n_p7:1\nY:7.6\nr0:0.1 r1:0.5 r2:0.3 r3:1.0 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:4\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:10\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:8.1\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:8\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:9.4\nr0:0.1 r1:0.8 r2:0.5 r3:1.6 V:0\nX:\n_p0:8\n_p1:16\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:1\n_p7:1\nY:8.7\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:8\n_p1:5\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:1\n_p7:4\nY:7.6\nr0:0.1 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:2\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:8.2\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:20\n_p3:5\n_p4:o\n_p5:c\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[200][240],double ey[200][240],double hz[200][240],double _fict_[100])\n{\n  int t;\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 100; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 240; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 0; j < 240; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (i = 0; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n      for (j = 1; j < 240; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 200 - 1; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 240 - 1; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:32\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.4\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:239\n_p7:4\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:32\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:8\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:16\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.6 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:5\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:199\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:8\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:239\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:8\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:1\n_p7:2\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:239\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:1\n_p8:o\n_p9:f\n_p10:c\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:2\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-3.2\nr0:0.9 r1:0.9 r2:0.6 r3:1.0 V:0\nX:\n_p0:8\n_p1:16\n_p2:199\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:2\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:239\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.3\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:1\n_p7:16\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.7\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:199\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:239\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:239\n_p7:16\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.2\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.9\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-0.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:16\n_p2:8\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.4\nr0:0.2 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:32\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.5 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:199\n_p3:10\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:2.0\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.5 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:32\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:4\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:4\n_p8:o\n_p9:o\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:199\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:239\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.2\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.7\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:239\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:1\n_p8:o\n_p9:o\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:8\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.3\nr0:0.5 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.6 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:199\n_p3:25\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:239\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nTY:1.2\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:1\n_p7:2\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[200][240],double ey[200][240],double hz[200][240],double _fict_[100])\n{\n  int t;\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 100; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 240; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 0; j < 240; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (i = 0; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n      for (j = 1; j < 240; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 200 - 1; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 240 - 1; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:1\n_p7:2\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:199\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-3.2\nr0:0.9 r1:0.6 r2:0.4 r3:0.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:8\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:1\n_p7:16\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.7\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:239\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.5 r1:0.9 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:1\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:1.0\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:12\n_p6:1\n_p7:2\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_trmm(double alpha,double A[60][60],double B[60][80])\n{\n//BLAS parameters\n//SIDE   = 'L'\n//UPLO   = 'L'\n//TRANSA = 'T'\n//DIAG   = 'U'\n// => Form  B := alpha*A**T*B.\n// A is MxM\n// B is MxN\n  \n#pragma ACCEL PIPELINE auto{_p3}\n  \n#pragma ACCEL TILE FACTOR=auto{_p5}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (int i = 0; i < 60; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p4}\n    \n#pragma ACCEL TILE FACTOR=auto{_p6}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (int j = 0; j < 80; j++) {\n      double sum = B[i][j];\n#pragma ACCEL PARALLEL reduction=sum FACTOR=auto{_p2}\n      for (int k = 0; k < 60; k++) {\n        if (k > i) {\n          sum += A[k][i] * B[k][j];\n        }\n      }\n      B[i][j] = alpha * sum;\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:4.0\nr0:0.0 r1:0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:5.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:12\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.0\nr0:0.0 r1:4.2 r2:17.6 r3:8.4 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:3\n_p1:4\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.6\nr0:0.0 r1:0.7 r2:5.0 r3:1.1 V:0\nX:\n_p0:20\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:8.7\nr0:0.0 r1:0.9 r2:0.6 r3:1.5 V:0\nX:\n_p0:1\n_p1:20\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:8.6\nr0:0 r1:1.2 r2:0.7 r3:1.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:5.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:2\n_p3:o\n_p4:c\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:c\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:8.7\nr0:0.0 r1:0.5 r2:0.3 r3:0.8 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V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:80\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:3.9\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:4.8\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:3.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:60\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:3.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:3\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.4\nr0:0.0 r1:1.5 r2:6.6 r3:2.8 V:0\nX:\n_p0:1\n_p1:1\n_p2:30\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:5.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:15\n_p3:o\n_p4:c\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:c\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 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V:0\nX:\n_p0:2\n_p1:16\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.5\nr0:0.0 r1:1.7 r2:5.8 r3:3.0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.7\nr0:0.0 r1:0.5 r2:0.3 r3:0.8 V:1\nX:\n_p0:1\n_p1:8\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:60\n_p3:o\n_p4:c\n_p5:60\n_p6:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.5\nr0:0 r1:0.6 r2:0.3 r3:1.0 V:0\nX:\n_p0:4\n_p1:2\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.5\nr0:0.0 r1:0.5 r2:6.7 r3:0.7 V:0\nX:\n_p0:1\n_p1:20\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.4 V:1\nX:\n_p0:16\n_p1:1\n_p2:32\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:5.0\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:5.0\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:8\nY:8.5\nr0:0 r1:0.6 r2:0.3 r3:1.0 V:0\nX:\n_p0:1\n_p1:10\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:o\n_p4:c\n_p5:60\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:8.2\nr0:0.0 r1:0.3 r2:0.2 r3:0.5 V:1\nX:\n_p0:2\n_p1:4\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.1\nr0:0.0 r1:0.5 r2:2.6 r3:0.8 V:0\nX:\n_p0:4\n_p1:4\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.2\nr0:0.0 r1:0.9 r2:7.0 r3:1.5 V:0\nX:\n_p0:1\n_p1:5\n_p2:4\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:8.5\nr0:0 r1:0.6 r2:0.3 r3:1.0 V:0\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:5.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:4.5\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:4\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:8.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.4 V:1\nX:\n_p0:1\n_p1:4\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:8.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.4 V:1\nX:\n_p0:1\n_p1:5\n_p2:8\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.4\nr0:0.0 r1:0.9 r2:2.9 r3:1.5 V:0\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.6\nr0:0 r1:1.2 r2:0.7 r3:1.9 V:0\nTY:3.9\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_syr2k(double alpha,double beta,double C[80][80],double A[80][60],double B[80][60])\n{\n  int i;\n  int j;\n  int k;\n//BLAS PARAMS\n//UPLO  = 'L'\n//TRANS = 'N'\n//A is NxM\n//B is NxM\n//C is NxN\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      if (j <= i) {\n        C[i][j] *= beta;\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p5}\n    \n#pragma ACCEL TILE FACTOR=auto{_p7}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (k = 0; k < 60; k++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        if (j <= i) {\n          C[i][j] += A[j][k] * alpha * B[i][k] + B[j][k] * alpha * A[i][k];\n        }\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:8\n_p2:5\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:5\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:3\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:32\n_p1:1\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:6.4\nr0:0.0 r1:0.3 r2:0.2 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:2\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:5\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:4\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:4\n_p2:4\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:6\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:6\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:4\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.8\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:3\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:2\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:8\nY:6.2\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:20\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:5\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:10\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.4\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:2\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:5\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:3.7\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:2\n_p2:5\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:10\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nTY:6.3\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[400],double x2[400],double y_1[400],double y_2[400],double A[400][400])\n{\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 400; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 400; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:400\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.2\nr0:0.5 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:1\nY:7.0\nr0:0.3 r1:0.1 r2:0.1 r3:0.1 V:1\nTY:4.9\nTV:0\n", "outputs":"### outputs: _p0:16\n_p1:5\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[120], double x2[120], double y_1[120], double y_2[120], double A[120][120])\n{\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 120; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 120; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:5\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.9\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:6\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:8.3\nr0:0.0 r1:0.6 r2:0.4 r3:1.2 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:5\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.4\nr0:0.0 r1:0.0 r2:0 r3:0.0 V:1\nX:\n_p0:1\n_p1:15\n_p2:120\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:8.4\nr0:0.1 r1:1.6 r2:0.9 r3:2.9 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:6\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:8.6\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:8\n_p1:16\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:9.2\nr0:0.1 r1:1.7 r2:1.0 r3:3.1 V:0\nX:\n_p0:1\n_p1:1\n_p2:120\n_p3:1\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:120\n_p7:120\nY:8.4\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:15\n_p2:1\n_p3:3\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:8.3\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:5\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:8.4\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:2\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:30\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:8.8\nr0:0.0 r1:1.0 r2:0.6 r3:1.9 V:0\nX:\n_p0:8\n_p1:20\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:9.0\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:10\n_p2:1\n_p3:2\n_p4:f\n_p5:c\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_syr2k(double alpha,double beta,double C[80][80],double A[80][60],double B[80][60])\n{\n  int i;\n  int j;\n  int k;\n//BLAS PARAMS\n//UPLO  = 'L'\n//TRANS = 'N'\n//A is NxM\n//B is NxM\n//C is NxN\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      if (j <= i) {\n        C[i][j] *= beta;\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p5}\n    \n#pragma ACCEL TILE FACTOR=auto{_p7}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (k = 0; k < 60; k++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        if (j <= i) {\n          C[i][j] += A[j][k] * alpha * B[i][k] + B[j][k] * alpha * A[i][k];\n        }\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:2\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:5\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:16\n_p1:1\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.4\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.4\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:2\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:4\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.0\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nTY:7.7\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:16\n_p2:2\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_trmm(double alpha,double A[60][60],double B[60][80])\n{\n//BLAS parameters\n//SIDE   = 'L'\n//UPLO   = 'L'\n//TRANSA = 'T'\n//DIAG   = 'U'\n// => Form  B := alpha*A**T*B.\n// A is MxM\n// B is MxN\n  \n#pragma ACCEL PIPELINE auto{_p3}\n  \n#pragma ACCEL TILE FACTOR=auto{_p5}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (int i = 0; i < 60; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p4}\n    \n#pragma ACCEL TILE FACTOR=auto{_p6}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (int j = 0; j < 80; j++) {\n      double sum = B[i][j];\n#pragma ACCEL PARALLEL reduction=sum FACTOR=auto{_p2}\n      for (int k = 0; k < 60; k++) {\n        if (k > i) {\n          sum += A[k][i] * B[k][j];\n        }\n      }\n      B[i][j] = alpha * sum;\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:4.9\nr0:0.1 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:4\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.6\nr0:0 r1:2.0 r2:9.3 r3:3.7 V:0\nX:\n_p0:1\n_p1:10\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:8.5\nr0:0 r1:0.6 r2:0.3 r3:1.0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:3\n_p1:5\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:8\nY:8.5\nr0:0 r1:0.6 r2:0.3 r3:1.0 V:0\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:5.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:10\n_p2:4\n_p3:o\n_p4:c\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:4\nY:8.6\nr0:0 r1:1.2 r2:0.7 r3:1.9 V:0\nX:\n_p0:2\n_p1:16\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.5\nr0:0.0 r1:1.7 r2:5.8 r3:3.0 V:0\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:8.6\nr0:0 r1:1.2 r2:0.7 r3:1.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:o\n_p4:c\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:3\n_p1:4\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:5\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:9.8\nr0:0.0 r1:1.0 r2:4.6 r3:1.9 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:8\nY:8.5\nr0:0 r1:0.6 r2:0.3 r3:1.0 V:0\nX:\n_p0:1\n_p1:2\n_p2:8\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:5.0\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:5.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:5\n_p2:6\n_p3:o\n_p4:c\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:3\n_p1:16\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:10\n_p3:o\n_p4:c\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 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r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:8.2\nr0:0.0 r1:0.3 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:20\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:4\nY:8.6\nr0:0 r1:1.2 r2:0.7 r3:1.9 V:0\nX:\n_p0:1\n_p1:8\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:8.7\nr0:0.0 r1:0.5 r2:0.3 r3:0.8 V:1\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:4.5\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:2\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:20\n_p2:10\n_p3:o\n_p4:c\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:3\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:o\n_p4:c\n_p5:1\n_p6:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:4\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.2\nr0:0.0 r1:0.9 r2:7.0 r3:1.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:4.9\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:16\n_p2:10\n_p3:o\n_p4:c\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:8\nY:8.5\nr0:0 r1:0.6 r2:0.3 r3:1.0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:4.0\nr0:0.0 r1:0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:4\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:8.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.4 V:1\nTY:5.1\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:30\n_p3:o\n_p4:o\n_p5:1\n_p6:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_covariance(int m,int n,double float_n,double data[100][80],double cov[80][80],double mean[80])\n{\n  int i;\n  int j;\n  int k;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p6}\n  \n#pragma ACCEL TILE FACTOR=auto{_p10}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (j = 0; j < 80; j++) {\n    mean[j] = 0.0;\n    \n#pragma ACCEL PARALLEL reduction=mean FACTOR=auto{_p3}\n    for (i = 0; i < 100; i++) {\n      mean[j] += data[i][j];\n    }\n    mean[j] /= float_n;\n  }\n  \n#pragma ACCEL PIPELINE auto{_p7}\n  \n#pragma ACCEL TILE FACTOR=auto{_p11}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 100; i++) {\n    \n#pragma ACCEL PARALLEL reduction=data FACTOR=auto{_p4}\n    for (j = 0; j < 80; j++) {\n      data[i][j] -= mean[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    for (j = i; j < 80; j++) {\n      cov[i][j] = 0.0;\n      \n#pragma ACCEL PARALLEL reduction=cov FACTOR=auto{_p5}\n      for (k = 0; k < 100; k++) {\n        cov[i][j] += data[k][i] * data[k][j];\n      }\n      cov[i][j] /= float_n - 1.0;\n      cov[j][i] = cov[i][j];\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:8\n_p1:1\n_p2:32\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.6\nr0:0.0 r1:0.5 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:25\n_p6:f\n_p7:o\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:20\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:100\n_p12:4\nY:4.3\nr0:0.0 r1:0.4 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:8\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.3\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:2\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:8\n_p11:8\n_p12:1\nY:3.6\nr0:0.0 r1:0.6 r2:0.2 r3:0.2 V:1\nX:\n_p0:8\n_p1:1\n_p2:2\n_p3:32\n_p4:1\n_p5:16\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:10\n_p6:o\n_p7:o\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:100\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:100\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:4\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:20\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:4\n_p12:1\nY:3.4\nr0:0.0 r1:0.3 r2:0.3 r3:0.1 V:1\nX:\n_p0:2\n_p1:4\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:2\n_p12:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:2\n_p6:o\n_p7:o\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:100\n_p6:o\n_p7:o\n_p8:c\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:10\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.6\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:25\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:16\n_p6:o\n_p7:o\n_p8:c\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:25\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:2\n_p12:1\nY:3.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\nY:8.8\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:10\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.7\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:8\n_p1:10\n_p2:1\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:80\nY:4.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:8\n_p6:f\n_p7:o\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:1\n_p5:16\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.6\nr0:0.0 r1:0.4 r2:0.1 r3:0.0 V:1\nX:\n_p0:8\n_p1:1\n_p2:32\n_p3:32\n_p4:8\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.6\nr0:0.0 r1:0.5 r2:0.2 r3:0.1 V:1\nX:\n_p0:4\n_p1:1\n_p2:20\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:100\n_p12:4\nY:4.3\nr0:0.0 r1:0.6 r2:0.2 r3:0.3 V:1\nX:\n_p0:8\n_p1:10\n_p2:32\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:8\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:32\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.6\nr0:0.0 r1:0.2 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:1.5\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:1\n_p2:20\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:c\n_p8:f\n_p9:o\n_p10:1\n_p11:100\n_p12:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:100\n_p12:80\nY:4.4\nr0:0.0 r1:0.3 r2:0.1 r3:0.2 V:1\nX:\n_p0:8\n_p1:20\n_p2:10\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:8\nY:4.3\nr0:0.0 r1:0.4 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:1.5\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:32\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:2\n_p12:1\nY:3.3\nr0:0.0 r1:0.3 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:8\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.3\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:16\n_p1:1\n_p2:32\n_p3:32\n_p4:8\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.6\nr0:0.0 r1:0.5 r2:0.2 r3:0.1 V:1\nX:\n_p0:8\n_p1:2\n_p2:1\n_p3:32\n_p4:1\n_p5:16\n_p6:c\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.8\nr0:0.0 r1:0.4 r2:0.2 r3:0.1 V:1\nX:\n_p0:4\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:c\n_p8:f\n_p9:o\n_p10:1\n_p11:100\n_p12:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:8\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:1\n_p4:1\n_p5:4\n_p6:f\n_p7:f\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:10\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:5\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:2\n_p12:1\nY:3.0\nr0:0.0 r1:0.2 r2:0.2 r3:0.1 V:1\nX:\n_p0:8\n_p1:10\n_p2:20\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:4\nY:4.3\nr0:0.0 r1:0.4 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:25\n_p6:f\n_p7:o\n_p8:c\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:10\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.7\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:32\n_p6:f\n_p7:o\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:o\n_p7:f\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:8.7\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:100\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_2mm(int ni,int nj,int nk,int nl,double alpha,double beta,double tmp[40][50],double A[40][70],double B[70][50],double C[50][80],double D[40][80])\n{\n  int i;\n  int j;\n  int k;\n  \n#pragma ACCEL PIPELINE auto{_p6}\n  \n#pragma ACCEL TILE FACTOR=auto{_p10}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 40; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p8}\n    \n#pragma ACCEL TILE FACTOR=auto{_p12}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (j = 0; j < 50; j++) {\n      tmp[i][j] = 0.0;\n      \n#pragma ACCEL PARALLEL reduction = tmp FACTOR=auto{_p4}\n      for (k = 0; k < 70; ++k) {\n        tmp[i][j] += alpha * A[i][k] * B[k][j];\n      }\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p7}\n  \n#pragma ACCEL TILE FACTOR=auto{_p11}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 40; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (j = 0; j < 80; j++) {\n      D[i][j] *= beta;\n      \n#pragma ACCEL PARALLEL reduction = D FACTOR=auto{_p5}\n      for (k = 0; k < 50; ++k) {\n        D[i][j] += tmp[i][k] * C[k][j];\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:16\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:10.9\nr0:0.0 r1:0.7 r2:0.4 r3:1.3 V:0\nX:\n_p0:1\n_p1:5\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:1.5 r2:0.9 r3:3.3 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.2 V:1\nX:\n_p0:1\n_p1:40\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:8.5\nr0:0.0 r1:2.5 r2:1.7 r3:5.8 V:0\nX:\n_p0:1\n_p1:4\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:4\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:2\n_p12:4\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:5\n_p4:1\n_p5:4\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:2\n_p12:1\n_p13:1\nY:5.7\nr0:0.0 r1:1.5 r2:0.9 r3:3.3 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:2\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.8\nr0:0.0 r1:0.0 r2:0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:70\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:10.9\nr0:0.0 r1:2.9 r2:1.9 r3:6.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:5\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.5\nr0:0.0 r1:0.1 r2:0.1 r3:0.2 V:1\nTY:5.4\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[60][80],double ey[60][80],double hz[60][80],double _fict_[40])\n{\n  int t;\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 40; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 60; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 60; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 1; j < 80; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n    for (i = 0; i < 59; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 79; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:79\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:20\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:2\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:7.9\nr0:0.0 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:79\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:4\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:79\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.5\nr0:0.0 r1:1.3 r2:0.7 r3:0.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:32\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:79\n_p8:o\n_p9:f\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:16\n_p4:1\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:16\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:8.6\nr0:0.0 r1:0.4 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:4\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:6.7\nr0:0.0 r1:0.7 r2:0.3 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:79\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.5\nr0:0.0 r1:0.6 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:79\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.5\nr0:0.0 r1:0.6 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.1\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:59\n_p14:60\n_p15:8\nY:3.1\nr0:0.1 r1:0.8 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:79\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:8\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.6\nr0:0.0 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:16\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.5\nr0:0.0 r1:1.3 r2:0.7 r3:0.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:f\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:4\n_p3:1\n_p4:2\n_p5:1\n_p6:59\n_p7:1\n_p8:o\n_p9:f\n_p10:f\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:2\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.5\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:60\n_p15:1\nY:6.6\nr0:0.0 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:4\n_p3:1\n_p4:2\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.0 r1:0.8 r2:0.5 r3:0.6 V:1\nX:\n_p0:1\n_p1:16\n_p2:2\n_p3:1\n_p4:2\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.0 r1:0.5 r2:0.3 r3:0.4 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:4\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.0 r1:0.7 r2:0.3 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:2.9\nr0:0.0 r1:0.5 r2:0.2 r3:0.4 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.6\nr0:0.0 r1:0.6 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:3.8\nr0:0.0 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:4\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:6.6\nr0:0.0 r1:0.8 r2:0.4 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 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V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:4\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:79\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.5\nr0:0.0 r1:0.6 r2:0.4 r3:0.5 V:1\nX:\n_p0:4\n_p1:16\n_p2:1\n_p3:16\n_p4:4\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:59\n_p14:1\n_p15:59\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:79\n_p8:o\n_p9:f\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:8.1\nr0:0.0 r1:1.3 r2:0.7 r3:0.9 V:0\nX:\n_p0:1\n_p1:16\n_p2:4\n_p3:1\n_p4:2\n_p5:1\n_p6:1\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:59\nY:5.3\nr0:0.0 r1:0.9 r2:0.6 r3:0.6 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.5\nr0:0.0 r1:0.6 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:79\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:8.1\nr0:0.0 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.8\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.1\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:c\n_p10:f\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:10\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.6\nr0:0.0 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.5\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:8\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:60\n_p15:1\nY:3.6\nr0:0.0 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:16\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:2.9\nr0:0.0 r1:0.5 r2:0.2 r3:0.4 V:1\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:60\n_p15:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:16\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:79\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.7\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:c\n_p9:o\n_p10:f\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:79\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:8.1\nr0:0.0 r1:1.3 r2:0.7 r3:0.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:10\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:f\n_p9:o\n_p10:o\n_p11:o\n_p12:2\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:40\n_p1:16\n_p2:1\n_p3:16\n_p4:4\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:59\n_p14:1\n_p15:59\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:32\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:2\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.1\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:59\n_p3:16\n_p4:20\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:f\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:3.2\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:16\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_2mm(int ni,int nj,int nk,int nl,double alpha,double beta,double tmp[40][50],double A[40][70],double B[70][50],double C[50][80],double D[40][80])\n{\n  int i;\n  int j;\n  int k;\n  \n#pragma ACCEL PIPELINE auto{_p6}\n  \n#pragma ACCEL TILE FACTOR=auto{_p10}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 40; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p8}\n    \n#pragma ACCEL TILE FACTOR=auto{_p12}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (j = 0; j < 50; j++) {\n      tmp[i][j] = 0.0;\n      \n#pragma ACCEL PARALLEL reduction = tmp FACTOR=auto{_p4}\n      for (k = 0; k < 70; ++k) {\n        tmp[i][j] += alpha * A[i][k] * B[k][j];\n      }\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p7}\n  \n#pragma ACCEL TILE FACTOR=auto{_p11}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 40; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (j = 0; j < 80; j++) {\n      D[i][j] *= beta;\n      \n#pragma ACCEL PARALLEL reduction = D FACTOR=auto{_p5}\n      for (k = 0; k < 50; ++k) {\n        D[i][j] += tmp[i][k] * C[k][j];\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:10\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:80\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:10\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:2\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:40\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:16\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.3\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:14\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:6.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:25\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.4\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:c\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:4\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:1\n_p5:2\n_p6:f\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.1\nr0:0.0 r1:2.4 r2:1.6 r3:5.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:50\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:10.8\nr0:0.0 r1:2.5 r2:1.6 r3:5.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:7\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.2\nr0:0.0 r1:0.0 r2:0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:32\n_p6:f\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:40\n_p12:1\n_p13:1\nY:3.5\nr0:0.0 r1:2.5 r2:1.6 r3:5.7 V:0\nX:\n_p0:5\n_p1:20\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:14\n_p5:32\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:4\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:70\n_p5:1\n_p6:o\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:9.3\nr0:0.0 r1:3.0 r2:2.1 r3:6.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.4 r2:0.2 r3:0.7 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:4\n_p12:1\n_p13:1\nY:3.7\nr0:0.0 r1:1.5 r2:1.4 r3:5.3 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:8\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.3\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:20\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:2\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:20\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:50\n_p13:80\nY:-\nr0:0 r1:0 r2:0 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r2:1.9 r3:6.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:32\n_p5:4\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.1\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:14\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:6.1\nr0:0.0 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:10\n_p4:1\n_p5:32\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:2\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:4\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:10\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:c\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:10\n_p1:10\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 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V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:4\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.1\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:5\n_p1:5\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:8\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:1\n_p5:50\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:11.5\nr0:0.0 r1:2.5 r2:1.7 r3:5.7 V:0\nX:\n_p0:20\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:8\n_p11:4\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:32\n_p4:70\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:1\n_p4:1\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:80\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:10\n_p1:5\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:8\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:7\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:25\n_p6:f\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:6.0\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:4\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:2\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:10\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.4\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:25\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.6\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:2\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:1\n_p5:5\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.9\nr0:0.0 r1:2.4 r2:1.6 r3:5.7 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:4\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:5\n_p4:70\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:8.8\nr0:0.0 r1:0.8 r2:0.5 r3:0.7 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:c\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:40\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:4\n_p12:50\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:14\n_p5:2\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.0\nr0:0.0 r1:0.0 r2:0 r3:0.0 V:1\nX:\n_p0:20\n_p1:10\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:40\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nTY:4.4\nTV:0\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[200][240],double ey[200][240],double hz[200][240],double _fict_[100])\n{\n  int t;\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 100; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 240; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 0; j < 240; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (i = 0; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n      for (j = 1; j < 240; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 200 - 1; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 240 - 1; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:16\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.3 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:239\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.3\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:1\n_p7:4\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:f\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.5\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:4\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.4\nr0:0.5 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:32\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:32\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:8\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:16\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.6 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:1\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:16\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:199\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:2.0\nr0:0.6 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:8\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:200\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.4 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:20\n_p1:16\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:32\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:6\n_p6:1\n_p7:239\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:10\n_p6:1\n_p7:8\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.2\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:239\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.5\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:1\n_p7:2\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.2\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.4\nr0:0.2 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:32\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.5 r1:0.5 r2:0.3 r3:0.5 V:1\nTY:3.5\nTV:0\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:6\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_covariance(int m,int n,double float_n,double data[100][80],double cov[80][80],double mean[80])\n{\n  int i;\n  int j;\n  int k;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p6}\n  \n#pragma ACCEL TILE FACTOR=auto{_p10}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (j = 0; j < 80; j++) {\n    mean[j] = 0.0;\n    \n#pragma ACCEL PARALLEL reduction=mean FACTOR=auto{_p3}\n    for (i = 0; i < 100; i++) {\n      mean[j] += data[i][j];\n    }\n    mean[j] /= float_n;\n  }\n  \n#pragma ACCEL PIPELINE auto{_p7}\n  \n#pragma ACCEL TILE FACTOR=auto{_p11}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 100; i++) {\n    \n#pragma ACCEL PARALLEL reduction=data FACTOR=auto{_p4}\n    for (j = 0; j < 80; j++) {\n      data[i][j] -= mean[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    for (j = i; j < 80; j++) {\n      cov[i][j] = 0.0;\n      \n#pragma ACCEL PARALLEL reduction=cov FACTOR=auto{_p5}\n      for (k = 0; k < 100; k++) {\n        cov[i][j] += data[k][i] * data[k][j];\n      }\n      cov[i][j] /= float_n - 1.0;\n      cov[j][i] = cov[i][j];\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:20\n_p6:f\n_p7:o\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:1\n_p4:1\n_p5:20\n_p6:f\n_p7:f\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:25\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:100\n_p6:f\n_p7:o\n_p8:c\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:2\n_p12:1\nY:3.1\nr0:0.0 r1:0.3 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:32\n_p4:1\n_p5:16\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.6\nr0:0.0 r1:0.4 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:10\n_p6:f\n_p7:o\n_p8:c\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:25\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.0\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:c\n_p8:f\n_p9:o\n_p10:80\n_p11:100\n_p12:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:4\n_p2:10\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:8\nY:4.3\nr0:0.0 r1:0.4 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:10\n_p5:1\n_p6:o\n_p7:c\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:25\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.0\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:10\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:1\n_p5:8\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:8\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.3\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:4\n_p1:4\n_p2:10\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:4\n_p11:1\n_p12:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:2\n_p12:1\nY:1.4\nr0:0.0 r1:0.2 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:25\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:2\n_p12:1\nY:3.3\nr0:0.0 r1:0.3 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:16\n_p2:32\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:8.7\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:100\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_trmm(double alpha,double A[60][60],double B[60][80])\n{\n//BLAS parameters\n//SIDE   = 'L'\n//UPLO   = 'L'\n//TRANSA = 'T'\n//DIAG   = 'U'\n// => Form  B := alpha*A**T*B.\n// A is MxM\n// B is MxN\n  \n#pragma ACCEL PIPELINE auto{_p3}\n  \n#pragma ACCEL TILE FACTOR=auto{_p5}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (int i = 0; i < 60; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p4}\n    \n#pragma ACCEL TILE FACTOR=auto{_p6}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (int j = 0; j < 80; j++) {\n      \n#pragma ACCEL PARALLEL reduction=B FACTOR=auto{_p2}\n      for (int k = 0; k < 60; k++) {\n        if (k > i) {\n          B[i][j] += A[k][i] * B[k][j];\n        }\n      }\n      B[i][j] = alpha * B[i][j];\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:0\nX:\n_p0:1\n_p1:10\n_p2:10\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:3\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:8\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:32\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:2\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:1.3\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[400],double x2[400],double y_1[400],double y_2[400],double A[400][400])\n{\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 400; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 400; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:400\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:20\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:5.9\nr0:0.4 r1:0.4 r2:0.3 r3:0.7 V:1\nX:\n_p0:1\n_p1:2\n_p2:20\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:6.2\nr0:0.9 r1:0.7 r2:0.4 r3:1.3 V:0\nX:\n_p0:16\n_p1:16\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:4\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:400\n_p7:400\nY:6.3\nr0:0.4 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:2\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:8\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:25\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:8.8\nr0:0.4 r1:0.4 r2:0.3 r3:0.8 V:1\nX:\n_p0:1\n_p1:1\n_p2:25\n_p3:4\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:4.1\nr0:0.2 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:400\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:8\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:4.7\nr0:1.1 r1:1.5 r2:0.9 r3:3.2 V:0\nX:\n_p0:1\n_p1:2\n_p2:10\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:5.3\nr0:0.5 r1:0.6 r2:0.4 r3:1.3 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:400\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:400\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:1\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:1\n_p7:1\nY:6.6\nr0:0.5 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:2\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:3.5\nr0:0.1 r1:0.0 r2:0 r3:0.0 V:1\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:400\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:16\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.0\nr0:0.3 r1:0.1 r2:0.1 r3:0.1 V:1\nX:\n_p0:32\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:5\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:6.3\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:16\n_p1:1\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:2\n_p7:1\nY:6.7\nr0:0.1 r1:0.6 r2:0.3 r3:0.7 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:25\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:5.7\nr0:0.3 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:10\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:1\nY:6.1\nr0:0.4 r1:0.1 r2:0.1 r3:0.3 V:1\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:1\nY:5.9\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:3.6\nr0:0.1 r1:1.5 r2:0.8 r3:2.6 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:4\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:7.2\nr0:0.4 r1:0.3 r2:0.2 r3:0.7 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:6.1\nr0:0.2 r1:0.3 r2:0.2 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V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:4\nY:7.9\nr0:0.2 r1:1.8 r2:1.0 r3:3.2 V:0\nX:\n_p0:1\n_p1:5\n_p2:5\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:4.3\nr0:1.0 r1:1.5 r2:0.9 r3:3.2 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:3.5\nr0:0.3 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:2\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.1\nr0:0.4 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:4\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:1\nY:7.1\nr0:0.4 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:5\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:400\nY:7.0\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:16\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:8\n_p7:400\nY:6.1\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:5\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:10\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:5.3\nr0:0.8 r1:1.2 r2:0.7 r3:2.6 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:5\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:6.9\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:5\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:20\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:7.3\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:2\n_p2:25\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:4.8\nr0:0.6 r1:0.6 r2:0.4 r3:1.3 V:0\nX:\n_p0:25\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:2\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.3\nr0:0.3 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:4\n_p1:16\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:6.7\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:16\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:7.0\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:8\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:7.1\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:8\n_p1:16\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:8\n_p7:1\nY:5.8\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:8\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:6.6\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:4\n_p2:2\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:4.2\nr0:0.1 r1:1.5 r2:0.8 r3:2.6 V:0\nX:\n_p0:16\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:8\n_p7:400\nY:6.1\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:4\n_p7:1\nY:5.6\nr0:0.3 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:25\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.3\nr0:0.3 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.3\nr0:0.2 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:16\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:5.9\nr0:0.4 r1:0.4 r2:0.3 r3:0.7 V:1\nX:\n_p0:2\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:4\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:10\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:8\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:10\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:4.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nTY:6.6\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:20\n_p2:1\n_p3:2\n_p4:f\n_p5:o\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[200][240],double ey[200][240],double hz[200][240],double _fict_[100])\n{\n  int t;\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 100; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 240; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 0; j < 240; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (i = 0; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n      for (j = 1; j < 240; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 200 - 1; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 240 - 1; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:8\n_p8:o\n_p9:o\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.5 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-0.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.5 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.5 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.2\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:2\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-3.2\nr0:0.9 r1:0.9 r2:0.6 r3:1.0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:3\n_p6:1\n_p7:2\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.6 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-3.3\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-3.2\nr0:0.5 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:4\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.2\nr0:0.5 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:1\n_p7:239\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:1\nX:\n_p0:20\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:f\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:4\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.3\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:8\n_p8:o\n_p9:f\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:1\n_p6:1\n_p7:239\n_p8:o\n_p9:f\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.3\nr0:0.8 r1:1.8 r2:1.4 r3:1.4 V:0\nX:\n_p0:5\n_p1:16\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.5 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:5\n_p6:1\n_p7:2\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.2\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:16\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:4\n_p8:o\n_p9:f\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:1\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:10\n_p6:1\n_p7:8\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.2\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 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V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:1\n_p7:8\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.6\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.2 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:3.4\nr0:0.6 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:100\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:f\n_p9:o\n_p10:o\n_p11:o\n_p12:4\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:6\n_p6:1\n_p7:16\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.9\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:199\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:2.0\nr0:0.6 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-0.5\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.8\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:20\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:1\n_p8:o\n_p9:o\n_p10:c\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.5 r1:0.9 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:4\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:16\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.4 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:32\n_p3:1\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.2 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:5\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:32\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nTY:2.0\nTV:0\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:239\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[400],double x2[400],double y_1[400],double y_2[400],double A[400][400])\n{\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 400; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 400; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:5.6\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:6.7\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:8\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:16\n_p1:20\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:25\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:4\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:16\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:4\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:10\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:4.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:1\nY:5.6\nr0:0.3 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:2\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:1\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:400\nY:7.2\nr0:1.0 r1:1.2 r2:0.7 r3:2.6 V:0\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:4\n_p7:1\nY:1.1\nr0:0.4 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:16\n_p1:16\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:2\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:1\nY:7.0\nr0:0.3 r1:0.1 r2:0.1 r3:0.1 V:1\nX:\n_p0:10\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:8\n_p7:1\nY:6.4\nr0:0.4 r1:0.1 r2:0.1 r3:0.3 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:2\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.1\nr0:0.2 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:2\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:8\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:25\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:6.8\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:1\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:3.6\nr0:0.1 r1:0.9 r2:0.5 r3:1.3 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:8\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:6.6\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:20\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:32\n_p1:16\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.0\nr0:0.3 r1:0.4 r2:0.2 r3:0.3 V:1\nX:\n_p0:2\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:10\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.0\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:5\n_p2:25\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:4.8\nr0:1.1 r1:1.5 r2:0.9 r3:3.2 V:0\nX:\n_p0:10\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:25\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:4\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:400\n_p7:8\nY:7.9\nr0:0.2 r1:1.2 r2:0.7 r3:1.9 V:0\nX:\n_p0:10\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:400\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:2.9\nr0:0.1 r1:0.0 r2:0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:4.3\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:16\n_p1:16\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:2\n_p7:1\nY:5.9\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:5\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:8\n_p7:1\nY:6.0\nr0:0.2 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:400\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.4\nr0:0.1 r1:0.3 r2:0.1 r3:0.0 V:1\nX:\n_p0:16\n_p1:20\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:25\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:8.8\nr0:0.4 r1:0.5 r2:0.3 r3:0.8 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:5\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:6.3\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:20\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:1\n_p7:400\nY:7.2\nr0:0.4 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:25\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:400\nY:7.1\nr0:0.3 r1:0.1 r2:0.1 r3:0.1 V:1\nX:\n_p0:2\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:4\n_p7:1\nY:5.4\nr0:0.5 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:400\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:8\n_p7:400\nY:6.2\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:2\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:4\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:5\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:3.9\nr0:0.1 r1:0.0 r2:0 r3:0.0 V:1\nX:\n_p0:4\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:1\nY:5.7\nr0:0.3 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:5\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:7.2\nr0:1.2 r1:1.5 r2:0.9 r3:3.2 V:0\nX:\n_p0:25\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:8\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:4.9\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.8\nr0:0.2 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:2\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:1\nY:1.1\nr0:0.5 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:5.3\nr0:0.5 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:4\n_p1:16\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:1\nY:6.8\nr0:0.3 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:4\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:6.1\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:25\n_p3:400\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.7\nr0:0.4 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:400\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:5\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:5.6\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:32\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:10\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:5.3\nr0:0.5 r1:0.6 r2:0.4 r3:1.3 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.3\nr0:0.3 r1:0.0 r2:0.0 r3:0.0 V:1\nTY:4.5\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[120], double x2[120], double y_1[120], double y_2[120], double A[120][120])\n{\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 120; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 120; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:120\n_p7:1\nY:10.4\nr0:0.1 r1:1.9 r2:1.1 r3:3.8 V:0\nX:\n_p0:8\n_p1:12\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:2\nY:8.8\nr0:0.1 r1:0.1 r2:0.0 r3:0.2 V:1\nX:\n_p0:8\n_p1:5\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:3\n_p2:32\n_p3:1\n_p4:c\n_p5:f\n_p6:120\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.3\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:1\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:2\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:12\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:9.3\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:8\n_p1:1\n_p2:8\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:9.6\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:12\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:12\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:2\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:120\n_p4:f\n_p5:o\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:32\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:2\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:9.5\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:4\n_p1:1\n_p2:8\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:3\n_p2:1\n_p3:10\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:8.3\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:4\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:2\n_p7:1\nY:8.8\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:2\n_p1:12\n_p2:1\n_p3:20\n_p4:f\n_p5:c\n_p6:4\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:6\n_p2:24\n_p3:1\n_p4:c\n_p5:f\n_p6:120\n_p7:1\nY:8.9\nr0:0.0 r1:0.6 r2:0.4 r3:1.2 V:0\nX:\n_p0:8\n_p1:32\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:1\nX:\n_p0:4\n_p1:24\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:16\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:15\n_p2:1\n_p3:16\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:16\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:30\n_p4:c\n_p5:o\n_p6:1\n_p7:1\nY:7.3\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:24\n_p2:1\n_p3:6\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:11.1\nr0:0.2 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:6\n_p2:24\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:8.9\nr0:0.0 r1:0.6 r2:0.4 r3:1.2 V:0\nX:\n_p0:3\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:12\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:11.0\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:4\n_p1:2\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:1\n_p7:2\nY:3.7\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:1\n_p2:12\n_p3:10\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.7\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:10\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:8.3\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:8\n_p1:2\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:8\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:10\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:4\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:12\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:120\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:5\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:4\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:5\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:11.3\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:4\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:120\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_2mm(int ni,int nj,int nk,int nl,double alpha,double beta,double tmp[40][50],double A[40][70],double B[70][50],double C[50][80],double D[40][80])\n{\n  int i;\n  int j;\n  int k;\n  \n#pragma ACCEL PIPELINE auto{_p6}\n  \n#pragma ACCEL TILE FACTOR=auto{_p10}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 40; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p8}\n    \n#pragma ACCEL TILE FACTOR=auto{_p12}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (j = 0; j < 50; j++) {\n      tmp[i][j] = 0.0;\n      \n#pragma ACCEL PARALLEL reduction = tmp FACTOR=auto{_p4}\n      for (k = 0; k < 70; ++k) {\n        tmp[i][j] += alpha * A[i][k] * B[k][j];\n      }\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p7}\n  \n#pragma ACCEL TILE FACTOR=auto{_p11}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 40; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (j = 0; j < 80; j++) {\n      D[i][j] *= beta;\n      \n#pragma ACCEL PARALLEL reduction = D FACTOR=auto{_p5}\n      for (k = 0; k < 50; ++k) {\n        D[i][j] += tmp[i][k] * C[k][j];\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:32\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.3\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:1\n_p5:32\n_p6:f\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:8.0\nr0:0.0 r1:2.7 r2:1.8 r3:6.3 V:0\nX:\n_p0:1\n_p1:20\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:2\n_p12:4\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:4\n_p11:2\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:7\n_p5:4\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:32\n_p5:50\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:25\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.5\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:c\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:4\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:4\n_p12:50\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:80\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.7\nr0:0.0 r1:0.2 r2:0.1 r3:0.3 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:10\n_p4:16\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.9\nr0:0.0 r1:0.4 r2:0.2 r3:0.8 V:0\nX:\n_p0:1\n_p1:20\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 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V:0\nX:\n_p0:1\n_p1:16\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:2\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:4\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:8\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:8\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:4\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:2\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:16\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:40\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.4 r2:0.2 r3:0.7 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:10\n_p4:70\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:11.2\nr0:0.0 r1:2.6 r2:1.6 r3:5.7 V:0\nX:\n_p0:1\n_p1:20\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:40\n_p11:2\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:1\n_p5:8\n_p6:f\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.2\nr0:0.0 r1:2.4 r2:1.6 r3:5.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:o\n_p7:o\n_p8:f\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.0\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:40\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:4\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.3\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:4\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:80\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:2\n_p12:1\n_p13:1\nY:3.7\nr0:0.0 r1:1.4 r2:1.4 r3:5.3 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:7\n_p5:5\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.4\nr0:0.0 r1:0.0 r2:0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:16\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:10.9\nr0:0.0 r1:0.7 r2:0.4 r3:1.3 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:70\n_p5:1\n_p6:o\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:11.3\nr0:0.0 r1:2.9 r2:1.9 r3:6.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:14\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:6.1\nr0:0.0 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:7\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:8\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:5.0\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[200][240],double ey[200][240],double hz[200][240],double _fict_[100])\n{\n  int t;\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 100; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 240; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 0; j < 240; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (i = 0; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n      for (j = 1; j < 240; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 200 - 1; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 240 - 1; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:32\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-0.2\nr0:0.2 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.5 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:8\n_p8:o\n_p9:o\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:5\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:199\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:2\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.2\nr0:0.5 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.3\nr0:0.1 r1:0.1 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:8\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.9\nr0:0.6 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:4\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.4\nr0:0.2 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:239\n_p7:8\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.2\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-0.3\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:16\n_p8:o\n_p9:o\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-3.2\nr0:0.5 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-0.1\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:239\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:2\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.0\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:4\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.3\nr0:0.5 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.4\nr0:0.2 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:3\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:32\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.6 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:1\n_p4:199\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-3.2\nr0:0.9 r1:0.6 r2:0.4 r3:0.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:32\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:32\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:1\n_p7:239\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.9\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:16\n_p2:32\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.9\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:1\n_p6:1\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:10\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:199\n_p3:25\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:20\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.4\nr0:0.2 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:16\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.3\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.6 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:2\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.8\nr0:0.5 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:1\n_p7:32\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-0.3\nr0:0.1 r1:0.0 r2:0.0 r3:0 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V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.8\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.2 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:8\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.5 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:200\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:5\n_p1:16\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:239\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.5 r1:0.9 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:16\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.2 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:32\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:2.0\nr0:0.6 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:1\n_p7:239\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:8\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:10\n_p6:1\n_p7:4\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:6\n_p6:1\n_p7:2\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:239\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:32\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.4\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-3.3\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:32\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.6 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:32\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:239\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:1.0\nTV:0\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_trmm(double alpha,double A[60][60],double B[60][80])\n{\n//BLAS parameters\n//SIDE   = 'L'\n//UPLO   = 'L'\n//TRANSA = 'T'\n//DIAG   = 'U'\n// => Form  B := alpha*A**T*B.\n// A is MxM\n// B is MxN\n  \n#pragma ACCEL PIPELINE auto{_p3}\n  \n#pragma ACCEL TILE FACTOR=auto{_p5}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (int i = 0; i < 60; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p4}\n    \n#pragma ACCEL TILE FACTOR=auto{_p6}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (int j = 0; j < 80; j++) {\n      double sum = B[i][j];\n#pragma ACCEL PARALLEL reduction=sum FACTOR=auto{_p2}\n      for (int k = 0; k < 60; k++) {\n        if (k > i) {\n          sum += A[k][i] * B[k][j];\n        }\n      }\n      B[i][j] = alpha * sum;\n    }\n  }\n}\n ```\nX:\n_p0:2\n_p1:16\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.5\nr0:0.0 r1:1.7 r2:5.8 r3:3.0 V:0\nX:\n_p0:4\n_p1:4\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.2\nr0:0.0 r1:0.9 r2:7.0 r3:1.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:4.0\nr0:0.0 r1:0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:10.1\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:30\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:5.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:80\n_p2:60\n_p3:c\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:80\n_p2:4\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:20\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.3\nr0:0 r1:2.1 r2:7.3 r3:3.8 V:0\nX:\n_p0:1\n_p1:8\n_p2:10\n_p3:o\n_p4:c\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:8.5\nr0:0 r1:0.6 r2:0.3 r3:1.0 V:0\nX:\n_p0:16\n_p1:1\n_p2:32\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:8.7\nr0:0.0 r1:0.9 r2:0.6 r3:1.5 V:0\nX:\n_p0:3\n_p1:10\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:15\n_p3:o\n_p4:o\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:4.9\nr0:0.1 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:6\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:8\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:o\n_p4:o\n_p5:8\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:2\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.5\nr0:0.0 r1:0.4 r2:2.5 r3:0.4 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:4.0\nr0:0.0 r1:0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:5\n_p2:10\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:4\nY:8.6\nr0:0 r1:1.2 r2:0.7 r3:1.9 V:0\nX:\n_p0:3\n_p1:10\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.6\nr0:0.0 r1:1.6 r2:7.4 r3:3.0 V:0\nX:\n_p0:1\n_p1:10\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:8.5\nr0:0 r1:0.6 r2:0.3 r3:1.0 V:0\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:c\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:3\n_p3:o\n_p4:o\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:8.2\nr0:0.0 r1:0.3 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:3.9\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:15\n_p3:o\n_p4:o\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:c\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:12\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.0\nr0:0.0 r1:4.2 r2:17.6 r3:8.4 V:0\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:80\nY:10.1\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:c\n_p5:60\n_p6:1\nY:10.1\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:4.9\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:2\n_p1:4\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.1\nr0:0.0 r1:0.5 r2:2.6 r3:0.8 V:0\nX:\n_p0:3\n_p1:16\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.8\nr0:0.0 r1:2.4 r2:10.5 r3:4.5 V:0\nX:\n_p0:1\n_p1:10\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:8\nY:8.5\nr0:0 r1:0.6 r2:0.3 r3:1.0 V:0\nX:\n_p0:1\n_p1:8\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:8.7\nr0:0.0 r1:0.5 r2:0.3 r3:0.8 V:1\nX:\n_p0:3\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:6\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.1\nr0:0 r1:2.3 r2:11.0 r3:4.4 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:3.9\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:8.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.4 V:1\nX:\n_p0:4\n_p1:80\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:16\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.7\nr0:0.0 r1:3.1 r2:14.8 r3:6.0 V:0\nX:\n_p0:1\n_p1:10\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:8.5\nr0:0 r1:0.6 r2:0.3 r3:1.0 V:0\nX:\n_p0:1\n_p1:20\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:8.6\nr0:0 r1:1.2 r2:0.7 r3:1.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.4\nr0:0.0 r1:0.9 r2:2.9 r3:1.5 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r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:30\n_p3:o\n_p4:o\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:4.3\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:4.9\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:c\n_p4:o\n_p5:60\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:4.2\nr0:0.0 r1:0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:5.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:8.7\nr0:0.0 r1:0.9 r2:0.6 r3:1.5 V:0\nX:\n_p0:1\n_p1:4\n_p2:8\n_p3:o\n_p4:c\n_p5:60\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:60\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:8.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.4 V:1\nX:\n_p0:1\n_p1:8\n_p2:10\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:32\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:5.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:4.2\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.7\nr0:0.0 r1:0.9 r2:0.6 r3:1.5 V:0\nX:\n_p0:1\n_p1:20\n_p2:5\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:5\n_p3:o\n_p4:c\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:32\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:3.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:3\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:4.4\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:10\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:8\nY:8.5\nr0:0 r1:0.6 r2:0.3 r3:1.0 V:0\nX:\n_p0:1\n_p1:2\n_p2:4\n_p3:c\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:5.0\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.4 V:1\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.5\nr0:0 r1:0.6 r2:0.3 r3:1.0 V:0\nX:\n_p0:4\n_p1:5\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:9.8\nr0:0.0 r1:1.0 r2:4.6 r3:1.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:3.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:4.5\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:3\n_p1:4\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.6\nr0:0.0 r1:0.7 r2:5.0 r3:1.1 V:0\nX:\n_p0:1\n_p1:10\n_p2:12\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:8.6\nTV:0\n", "outputs":"### outputs: _p0:1\n_p1:20\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_trmm(double alpha,double A[60][60],double B[60][80])\n{\n//BLAS parameters\n//SIDE   = 'L'\n//UPLO   = 'L'\n//TRANSA = 'T'\n//DIAG   = 'U'\n// => Form  B := alpha*A**T*B.\n// A is MxM\n// B is MxN\n  \n#pragma ACCEL PIPELINE auto{_p3}\n  \n#pragma ACCEL TILE FACTOR=auto{_p5}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (int i = 0; i < 60; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p4}\n    \n#pragma ACCEL TILE FACTOR=auto{_p6}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (int j = 0; j < 80; j++) {\n      double sum = B[i][j];\n#pragma ACCEL PARALLEL reduction=sum FACTOR=auto{_p2}\n      for (int k = 0; k < 60; k++) {\n        if (k > i) {\n          sum += A[k][i] * B[k][j];\n        }\n      }\n      B[i][j] = alpha * sum;\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:o\n_p4:c\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:0\nX:\n_p0:12\n_p1:1\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.6\nr0:0 r1:1.2 r2:0.7 r3:1.9 V:0\nX:\n_p0:1\n_p1:5\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:8.2\nr0:0.0 r1:0.3 r2:0.2 r3:0.5 V:1\nX:\n_p0:3\n_p1:8\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:5.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nTY:4.4\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:5\n_p3:o\n_p4:o\n_p5:1\n_p6:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_syr2k(double alpha,double beta,double C[80][80],double A[80][60],double B[80][60])\n{\n  int i;\n  int j;\n  int k;\n//BLAS PARAMS\n//UPLO  = 'L'\n//TRANS = 'N'\n//A is NxM\n//B is NxM\n//C is NxN\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      if (j <= i) {\n        C[i][j] *= beta;\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p5}\n    \n#pragma ACCEL TILE FACTOR=auto{_p7}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (k = 0; k < 60; k++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        if (j <= i) {\n          C[i][j] += A[j][k] * alpha * B[i][k] + B[j][k] * alpha * A[i][k];\n        }\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:8\nY:6.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nTY:5.9\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:2\n_p2:1\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_syr2k(double alpha,double beta,double C[80][80],double A[80][60],double B[80][60])\n{\n  int i;\n  int j;\n  int k;\n//BLAS PARAMS\n//UPLO  = 'L'\n//TRANS = 'N'\n//A is NxM\n//B is NxM\n//C is NxN\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      if (j <= i) {\n        C[i][j] *= beta;\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p5}\n    \n#pragma ACCEL TILE FACTOR=auto{_p7}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (k = 0; k < 60; k++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        if (j <= i) {\n          C[i][j] += A[j][k] * alpha * B[i][k] + B[j][k] * alpha * A[i][k];\n        }\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:2\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.2\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:4\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:20\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.3\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.4\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:4\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:3\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.2\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:5\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:2\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:5.4\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.2\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:3\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:8\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:2\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:2\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:6\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.4\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:10\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.7\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:6.4\nr0:0.0 r1:0.3 r2:0.2 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:2\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:5.7\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:3\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:4\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:5.1\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:3\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:8\nY:6.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:4\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:4\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.8\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.2\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.4\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:6\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:6\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nTY:7.6\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:4\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_covariance(int m,int n,double float_n,double data[100][80],double cov[80][80],double mean[80])\n{\n  int i;\n  int j;\n  int k;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p6}\n  \n#pragma ACCEL TILE FACTOR=auto{_p10}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (j = 0; j < 80; j++) {\n    mean[j] = 0.0;\n    \n#pragma ACCEL PARALLEL reduction=mean FACTOR=auto{_p3}\n    for (i = 0; i < 100; i++) {\n      mean[j] += data[i][j];\n    }\n    mean[j] /= float_n;\n  }\n  \n#pragma ACCEL PIPELINE auto{_p7}\n  \n#pragma ACCEL TILE FACTOR=auto{_p11}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 100; i++) {\n    \n#pragma ACCEL PARALLEL reduction=data FACTOR=auto{_p4}\n    for (j = 0; j < 80; j++) {\n      data[i][j] -= mean[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    for (j = i; j < 80; j++) {\n      cov[i][j] = 0.0;\n      \n#pragma ACCEL PARALLEL reduction=cov FACTOR=auto{_p5}\n      for (k = 0; k < 100; k++) {\n        cov[i][j] += data[k][i] * data[k][j];\n      }\n      cov[i][j] /= float_n - 1.0;\n      cov[j][i] = cov[i][j];\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:16\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:1\n_p2:1\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:4\n_p11:100\n_p12:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:8\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:8\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 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V:0\nX:\n_p0:8\n_p1:20\n_p2:1\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:80\nY:4.3\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:80\n_p11:100\n_p12:80\nY:4.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:8\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:4\n_p2:32\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:25\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:32\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:8\n_p12:1\nY:3.3\nr0:0.0 r1:0.3 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.3\nr0:0.0 r1:0.3 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:4\n_p12:1\nY:2.9\nr0:0.0 r1:0.3 r2:0.3 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:25\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.0\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:f\n_p7:o\n_p8:c\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:25\n_p2:1\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:80\nY:4.3\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:25\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:2\n_p12:1\nY:3.3\nr0:0.0 r1:0.3 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:16\n_p4:1\n_p5:16\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.6\nr0:0.0 r1:0.4 r2:0.1 r3:0.0 V:1\nX:\n_p0:8\n_p1:1\n_p2:32\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.6\nr0:0.0 r1:0.5 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.0\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.4\nr0:0.0 r1:0.4 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.3\nr0:0.0 r1:0.3 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:25\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:4\n_p12:1\nY:3.3\nr0:0.0 r1:0.3 r2:0.3 r3:0.1 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:80\n_p11:8\n_p12:1\nY:3.6\nr0:0.0 r1:0.4 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:10\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.7\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:2\n_p1:4\n_p2:20\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:4\nY:4.3\nr0:0.0 r1:0.5 r2:0.2 r3:0.2 V:1\nX:\n_p0:8\n_p1:2\n_p2:1\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:80\nY:4.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:100\n_p6:f\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:5.2\nr0:0.1 r1:0.3 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:10\n_p6:f\n_p7:o\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:5\n_p2:20\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:4\nY:4.3\nr0:0.0 r1:0.4 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.0\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:80\n_p11:100\n_p12:4\nY:4.3\nr0:0.0 r1:0.4 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:1\n_p5:25\n_p6:f\n_p7:f\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:4\n_p2:32\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:4\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:8\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.3\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nTY:3.0\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:4\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_trmm(double alpha,double A[60][60],double B[60][80])\n{\n//BLAS parameters\n//SIDE   = 'L'\n//UPLO   = 'L'\n//TRANSA = 'T'\n//DIAG   = 'U'\n// => Form  B := alpha*A**T*B.\n// A is MxM\n// B is MxN\n  \n#pragma ACCEL PIPELINE auto{_p3}\n  \n#pragma ACCEL TILE FACTOR=auto{_p5}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (int i = 0; i < 60; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p4}\n    \n#pragma ACCEL TILE FACTOR=auto{_p6}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (int j = 0; j < 80; j++) {\n      double sum = B[i][j];\n#pragma ACCEL PARALLEL reduction=sum FACTOR=auto{_p2}\n      for (int k = 0; k < 60; k++) {\n        if (k > i) {\n          sum += A[k][i] * B[k][j];\n        }\n      }\n      B[i][j] = alpha * sum;\n    }\n  }\n}\n ```\nX:\n_p0:2\n_p1:20\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.3\nr0:0 r1:2.1 r2:7.3 r3:3.8 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:o\n_p4:c\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:10.1\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:4.0\nr0:0.0 r1:0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:5.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:8.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.4 V:1\nX:\n_p0:1\n_p1:4\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:8.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.4 V:1\nX:\n_p0:1\n_p1:2\n_p2:60\n_p3:o\n_p4:c\n_p5:60\n_p6:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:80\nY:10.1\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:2\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.7\nr0:0 r1:1.1 r2:3.6 r3:1.9 V:0\nX:\n_p0:1\n_p1:2\n_p2:60\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:4\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:4\nY:8.6\nr0:0 r1:1.2 r2:0.7 r3:1.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:4.8\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:8.5\nr0:0 r1:0.6 r2:0.3 r3:1.0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:o\n_p4:o\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:3\n_p3:o\n_p4:c\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:6\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:4\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:60\n_p3:c\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:3\n_p1:8\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:8.2\nr0:0.0 r1:0.3 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:3.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:c\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:15\n_p3:o\n_p4:o\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:8.7\nr0:0.0 r1:0.5 r2:0.3 r3:0.8 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:4.3\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:2\n_p1:5\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:9.8\nr0:0.0 r1:0.6 r2:1.8 r3:1.0 V:0\nX:\n_p0:1\n_p1:16\n_p2:10\n_p3:o\n_p4:o\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:5.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:4.3\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:4.5\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:4\n_p1:2\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.5\nr0:0.0 r1:0.5 r2:6.7 r3:0.7 V:0\nX:\n_p0:60\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.2\nr0:0.0 r1:0.3 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:8\n_p2:6\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:15\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:5\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:11.7\nTV:0\n", "outputs":"### outputs: _p0:4\n_p1:16\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_syr2k(double alpha,double beta,double C[80][80],double A[80][60],double B[80][60])\n{\n  int i;\n  int j;\n  int k;\n//BLAS PARAMS\n//UPLO  = 'L'\n//TRANS = 'N'\n//A is NxM\n//B is NxM\n//C is NxN\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      if (j <= i) {\n        C[i][j] *= beta;\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p5}\n    \n#pragma ACCEL TILE FACTOR=auto{_p7}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (k = 0; k < 60; k++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        if (j <= i) {\n          C[i][j] += A[j][k] * alpha * B[i][k] + B[j][k] * alpha * A[i][k];\n        }\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:16\n_p2:2\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.3\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:6.2\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:4.3\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:3\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:3\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:5\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:8\nY:6.2\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.7\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:5\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:4\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.8\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.4\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:32\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:4\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.0\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 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V:0\nX:\n_p0:1\n_p1:8\n_p2:5\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:5.1\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:5.4\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:2\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.2\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:4\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:5\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:6\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:5\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:6\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.2\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.8\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.1 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:3\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:60\nY:7.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:5.1\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:2\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nTY:7.4\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:8\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[400],double x2[400],double y_1[400],double y_2[400],double A[400][400])\n{\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 400; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 400; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:3.0\nr0:0.2 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:32\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.0\nr0:0.3 r1:0.4 r2:0.2 r3:0.3 V:1\nX:\n_p0:32\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:400\n_p7:1\nY:5.0\nr0:1.1 r1:1.5 r2:1.0 r3:3.2 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:400\nY:1.1\nr0:0.4 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:8\n_p7:1\nY:5.8\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:25\n_p3:25\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.6\nr0:0.4 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:20\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:2\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:2\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:5.6\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:5\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:4\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:1\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:1\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:7.2\nr0:0.5 r1:0.3 r2:0.2 r3:0.7 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:400\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:7.9\nr0:0.2 r1:0.9 r2:0.5 r3:1.3 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:400\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:10\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.4\nr0:0.2 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:4\nY:7.6\nr0:0.2 r1:0.6 r2:0.4 r3:0.7 V:1\nX:\n_p0:16\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:8\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:3.6\nr0:0.1 r1:0.9 r2:0.5 r3:1.3 V:0\nX:\n_p0:2\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:7.2\nr0:0.6 r1:0.6 r2:0.4 r3:1.3 V:0\nX:\n_p0:16\n_p1:4\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:2\n_p7:1\nY:6.7\nr0:0.1 r1:1.5 r2:0.8 r3:2.6 V:0\nX:\n_p0:4\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:7.2\nr0:1.0 r1:1.2 r2:0.7 r3:2.6 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:400\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.1 r1:0.3 r2:0.1 r3:0.0 V:1\nX:\n_p0:20\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:32\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.0\nr0:0.3 r1:0.4 r2:0.2 r3:0.3 V:1\nX:\n_p0:20\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:1\n_p7:400\nY:7.2\nr0:0.4 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:10\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:8\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.1\nr0:0.4 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:25\n_p3:2\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:3.7\nr0:0.2 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:2\n_p7:400\nY:5.9\nr0:0.3 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:4.2\nr0:0.2 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.0\nr0:0.3 r1:0.1 r2:0.1 r3:0.1 V:1\nX:\n_p0:5\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:7.2\nr0:1.2 r1:1.5 r2:0.9 r3:3.2 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:5\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:6.3\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:32\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:2\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:10\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:3.4\nr0:0.1 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:8\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:25\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:10\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:6.9\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:20\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:8\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:32\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:2\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:16\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:2\n_p2:4\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:4.9\nr0:0.1 r1:0.9 r2:0.5 r3:1.3 V:0\nX:\n_p0:2\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:1\n_p7:1\nY:6.6\nr0:0.5 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:4\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:7.2\nr0:0.4 r1:0.3 r2:0.2 r3:0.7 V:1\nX:\n_p0:8\n_p1:16\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:400\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:5.0\nr0:1.1 r1:1.5 r2:1.0 r3:3.2 V:0\nX:\n_p0:4\n_p1:1\n_p2:16\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.3\nr0:0.0 r1:0.6 r2:0.3 r3:0.6 V:1\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:16\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:6.5\nr0:0.2 r1:1.5 r2:0.8 r3:2.6 V:0\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:400\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:8\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:4.5\nr0:1.0 r1:1.5 r2:0.9 r3:3.2 V:0\nX:\n_p0:25\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:400\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:5\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:4.3\nr0:1.0 r1:1.5 r2:0.9 r3:3.2 V:0\nX:\n_p0:8\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:32\n_p1:16\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:10\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:7.3\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:20\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:1\n_p7:1\nY:7.1\nr0:0.4 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:8\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:400\nY:7.1\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nTY:5.8\nTV:1\n", "outputs":"### outputs: _p0:16\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:8\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[60][80],double ey[60][80],double hz[60][80],double _fict_[40])\n{\n  int t;\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 40; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 60; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 60; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 1; j < 80; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n    for (i = 0; i < 59; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 79; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:4\n_p3:1\n_p4:2\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.0 r1:0.8 r2:0.5 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:79\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:2.9\nr0:0.0 r1:0.5 r2:0.2 r3:0.4 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:f\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:9.3\nr0:0.0 r1:0.4 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.7\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.5\nr0:0.0 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.7\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:16\n_p1:16\n_p2:59\n_p3:16\n_p4:4\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.7\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.8\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:59\n_p14:60\n_p15:1\nY:7.9\nr0:0.0 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:4\n_p3:1\n_p4:2\n_p5:1\n_p6:1\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:59\nY:5.3\nr0:0.0 r1:0.9 r2:0.6 r3:0.6 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:59\n_p14:60\n_p15:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:40\n_p1:16\n_p2:59\n_p3:16\n_p4:4\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:59\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:2.9\nr0:0.0 r1:0.5 r2:0.2 r3:0.4 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:32\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.0 r1:0.2 r2:0.2 r3:0.2 V:1\nX:\n_p0:10\n_p1:16\n_p2:1\n_p3:16\n_p4:2\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:59\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:2\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.6\nr0:0.0 r1:0.6 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.1\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.6\nr0:0.0 r1:1.3 r2:0.7 r3:0.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.6\nr0:0.0 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:2\n_p1:16\n_p2:1\n_p3:16\n_p4:2\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:59\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:8\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.7\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:8\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.7\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:4\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.6\nr0:0.0 r1:1.3 r2:0.7 r3:0.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:79\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:8.1\nr0:0.0 r1:1.3 r2:0.7 r3:0.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:8\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.2\nr0:0.0 r1:0.2 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:79\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.7\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.6\nr0:0.0 r1:0.6 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:4\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:59\n_p14:1\n_p15:59\nY:8.9\nr0:0.0 r1:0.7 r2:0.3 r3:0.6 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:59\n_p14:60\n_p15:1\nY:3.8\nr0:0.0 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:8\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:f\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:8.1\nr0:0.0 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:4\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:79\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.5\nr0:0.0 r1:0.6 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:79\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:2.9\nr0:0.0 r1:0.5 r2:0.2 r3:0.4 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.5\nr0:0.0 r1:1.3 r2:0.7 r3:0.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:79\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:79\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.6\nr0:0.0 r1:0.6 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:60\n_p15:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:16\n_p2:4\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:60\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:2.9\nr0:0.0 r1:0.5 r2:0.2 r3:0.4 V:1\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:8\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.6\nr0:0.0 r1:1.5 r2:0.9 r3:1.3 V:0\nX:\n_p0:1\n_p1:1\n_p2:59\n_p3:16\n_p4:10\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:1\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:7.3\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nTY:1.4\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_syr2k(double alpha,double beta,double C[80][80],double A[80][60],double B[80][60])\n{\n  int i;\n  int j;\n  int k;\n//BLAS PARAMS\n//UPLO  = 'L'\n//TRANS = 'N'\n//A is NxM\n//B is NxM\n//C is NxN\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      if (j <= i) {\n        C[i][j] *= beta;\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p5}\n    \n#pragma ACCEL TILE FACTOR=auto{_p7}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (k = 0; k < 60; k++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        if (j <= i) {\n          C[i][j] += A[j][k] * alpha * B[i][k] + B[j][k] * alpha * A[i][k];\n        }\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:6\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:10\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.7\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.4\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:8\nY:6.2\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:5.4\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:3\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:5.7\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.0 r1:0.1 r2:0.0 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V:0\nX:\n_p0:1\n_p1:4\n_p2:2\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:3\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:32\n_p1:1\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:1\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:7.6\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:2\n_p2:6\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[120], double x2[120], double y_1[120], double y_2[120], double A[120][120])\n{\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 120; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 120; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:8\n_p1:3\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:8\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:2\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:6\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.8\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:2\n_p1:1\n_p2:12\n_p3:30\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:24\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:10.2\nr0:0.2 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:3\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:8.4\nr0:0.0 r1:0.4 r2:0.3 r3:0.8 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:24\n_p4:c\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:12\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:9.3\nr0:0.1 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:20\n_p1:2\n_p2:24\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:11.3\nr0:0.0 r1:0.4 r2:0.2 r3:0.4 V:1\nX:\n_p0:8\n_p1:2\n_p2:32\n_p3:1\n_p4:c\n_p5:f\n_p6:2\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:5\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:1\n_p7:1\nY:8.2\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.2\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:4\n_p1:4\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:120\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:11.3\nr0:0.1 r1:1.0 r2:0.5 r3:1.5 V:0\nX:\n_p0:4\n_p1:1\n_p2:12\n_p3:12\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.8\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:2\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:4\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:120\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:11.2\nr0:0.1 r1:0.5 r2:0.2 r3:0.2 V:1\nX:\n_p0:8\n_p1:3\n_p2:32\n_p3:1\n_p4:c\n_p5:f\n_p6:8\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:24\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:24\n_p2:1\n_p3:20\n_p4:f\n_p5:o\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:12\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:2\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:6\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:8.3\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:15\n_p2:1\n_p3:6\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:8.4\nr0:0.1 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:6\n_p1:1\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:1\n_p7:120\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:6\n_p4:c\n_p5:c\n_p6:1\n_p7:1\nY:7.4\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:2\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:8\n_p7:1\nY:9.5\nr0:0.0 r1:0.3 r2:0.2 r3:0.4 V:1\nX:\n_p0:3\n_p1:32\n_p2:1\n_p3:16\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:3\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:4\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:4\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:8\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:10\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.1 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:5\n_p1:1\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:120\nY:9.7\nr0:0.0 r1:0.5 r2:0.3 r3:1.0 V:0\nX:\n_p0:1\n_p1:3\n_p2:12\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:8.0\nr0:0.0 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:8\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:1\n_p2:10\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.4\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:12\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:4\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:15\n_p4:c\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:24\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:120\n_p7:1\nY:9.3\nr0:0.1 r1:0.1 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:3\n_p2:4\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:8\n_p1:1\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:4\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:4\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:8.2\nr0:0.0 r1:0.3 r2:0.1 r3:0.4 V:1\nX:\n_p0:1\n_p1:12\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:120\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:10\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:10.9\nr0:0.1 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:3\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:120\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:4\nY:9.8\nr0:0.1 r1:2.0 r2:1.2 r3:4.0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:6.7\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:4\n_p1:24\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:20\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:120\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:8\n_p7:1\nY:11.0\nr0:0.0 r1:0.4 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:6\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:6.8\nr0:0.0 r1:0.6 r2:0.3 r3:1.2 V:0\nX:\n_p0:1\n_p1:2\n_p2:8\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:9.3\nr0:0.0 r1:0.3 r2:0.1 r3:0.4 V:1\nX:\n_p0:8\n_p1:30\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:8\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:6\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:7.9\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:8\n_p1:15\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:2\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:2\n_p2:24\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:15\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:120\n_p7:1\nY:7.6\nr0:0.1 r1:1.4 r2:0.8 r3:2.9 V:0\nX:\n_p0:2\n_p1:3\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:4\n_p7:1\nY:8.3\nr0:0.0 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:8\nY:8.8\nr0:0.1 r1:1.1 r2:0.6 r3:2.1 V:0\nX:\n_p0:1\n_p1:3\n_p2:1\n_p3:120\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:8.4\nr0:0.1 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:8.1\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:30\n_p2:1\n_p3:3\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:9.2\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:8\n_p1:32\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:1\n_p2:10\n_p3:10\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:8.4\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:20\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:11.0\nr0:0.2 r1:0.2 r2:0.1 r3:0.3 V:1\nX:\n_p0:8\n_p1:1\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:4\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:3\n_p2:1\n_p3:24\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:8.3\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:120\n_p7:8\nY:8.4\nr0:0.1 r1:0.6 r2:0.3 r3:1.2 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:6\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:9.8\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:24\n_p2:1\n_p3:8\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:11.1\nr0:0.2 r1:0.2 r2:0.2 r3:0.3 V:1\nX:\n_p0:1\n_p1:8\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:120\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:9.4\nr0:0.1 r1:1.0 r2:0.6 r3:1.9 V:0\nX:\n_p0:8\n_p1:1\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:4\n_p7:120\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:3\n_p2:24\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:8\nY:8.4\nr0:0.0 r1:0.6 r2:0.5 r3:0.8 V:0\nX:\n_p0:4\n_p1:1\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:1\n_p7:120\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:8\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:12\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:24\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:32\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:5\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:8\n_p7:1\nY:8.4\nr0:0.0 r1:0.7 r2:0.4 r3:1.4 V:0\nX:\n_p0:4\n_p1:1\n_p2:10\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.2\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nTY:7.8\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:120\n_p3:2\n_p4:o\n_p5:o\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[200][240],double ey[200][240],double hz[200][240],double _fict_[100])\n{\n  int t;\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 100; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 240; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 0; j < 240; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (i = 0; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n      for (j = 1; j < 240; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 200 - 1; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 240 - 1; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:239\n_p7:2\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:f\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.8\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 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V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:8\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.8\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:8\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nTY:0.9\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_2mm(int ni,int nj,int nk,int nl,double alpha,double beta,double tmp[40][50],double A[40][70],double B[70][50],double C[50][80],double D[40][80])\n{\n  int i;\n  int j;\n  int k;\n  \n#pragma ACCEL PIPELINE auto{_p6}\n  \n#pragma ACCEL TILE FACTOR=auto{_p10}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 40; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p8}\n    \n#pragma ACCEL TILE FACTOR=auto{_p12}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (j = 0; j < 50; j++) {\n      tmp[i][j] = 0.0;\n      \n#pragma ACCEL PARALLEL reduction = tmp FACTOR=auto{_p4}\n      for (k = 0; k < 70; ++k) {\n        tmp[i][j] += alpha * A[i][k] * B[k][j];\n      }\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p7}\n  \n#pragma ACCEL TILE FACTOR=auto{_p11}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 40; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (j = 0; j < 80; j++) {\n      D[i][j] *= beta;\n      \n#pragma ACCEL PARALLEL reduction = D FACTOR=auto{_p5}\n      for (k = 0; k < 50; ++k) {\n        D[i][j] += tmp[i][k] * C[k][j];\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:4\nY:5.7\nr0:0.0 r1:0.4 r2:0.2 r3:0.8 V:1\nX:\n_p0:20\n_p1:20\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:8\n_p11:2\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:8\n_p5:1\n_p6:o\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.5\nr0:0.0 r1:2.8 r2:1.9 r3:6.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:5\n_p4:10\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.9\nr0:0.0 r1:0.2 r2:0.1 r3:0.4 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:7\n_p5:4\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:32\n_p6:f\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.8\nr0:0.0 r1:2.5 r2:1.6 r3:5.7 V:0\nX:\n_p0:1\n_p1:20\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:2\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:32\n_p1:10\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:4\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:40\n_p11:4\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:10\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.2\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:8\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.5\nr0:0.0 r1:2.8 r2:1.9 r3:6.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:10\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.2 V:1\nX:\n_p0:1\n_p1:20\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:5.9 r2:3.5 r3:13.1 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:32\n_p5:2\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.8\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:2\n_p12:1\n_p13:1\nY:5.5\nr0:0.0 r1:0.4 r2:0.2 r3:0.7 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:70\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:10.9\nr0:0.0 r1:2.9 r2:1.9 r3:6.5 V:0\nX:\n_p0:1\n_p1:10\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:2\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:16\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.3\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:10\n_p5:1\n_p6:o\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:14\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:50\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.9\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:5\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:80\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:c\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:40\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:8.6\nr0:0.0 r1:2.8 r2:1.9 r3:6.6 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.2\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:40\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:40\n_p1:20\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:7\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:2.9 r2:1.9 r3:6.5 V:0\nX:\n_p0:16\n_p1:2\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:40\n_p1:1\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:7\n_p5:4\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.2\nr0:0.0 r1:0.0 r2:0 r3:0.0 V:1\nX:\n_p0:1\n_p1:10\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:4\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:5\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:1\n_p5:1\n_p6:o\n_p7:f\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:9.9\nr0:0.0 r1:2.9 r2:1.9 r3:6.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:4\n_p5:1\n_p6:o\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:c\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:8\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:40\n_p11:8\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nTY:6.0\nTV:0\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_trmm(double alpha,double A[60][60],double B[60][80])\n{\n//BLAS parameters\n//SIDE   = 'L'\n//UPLO   = 'L'\n//TRANSA = 'T'\n//DIAG   = 'U'\n// => Form  B := alpha*A**T*B.\n// A is MxM\n// B is MxN\n  \n#pragma ACCEL PIPELINE auto{_p3}\n  \n#pragma ACCEL TILE FACTOR=auto{_p5}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (int i = 0; i < 60; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p4}\n    \n#pragma ACCEL TILE FACTOR=auto{_p6}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (int j = 0; j < 80; j++) {\n      double sum = B[i][j];\n#pragma ACCEL PARALLEL reduction=sum FACTOR=auto{_p2}\n      for (int k = 0; k < 60; k++) {\n        if (k > i) {\n          sum += A[k][i] * B[k][j];\n        }\n      }\n      B[i][j] = alpha * sum;\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:3.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.7\nr0:0.0 r1:0.5 r2:0.3 r3:0.8 V:1\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:5.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:o\n_p4:c\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:30\n_p3:o\n_p4:c\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:8.7\nr0:0.0 r1:0.9 r2:0.6 r3:1.5 V:0\nX:\n_p0:1\n_p1:10\n_p2:4\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:20\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.3\nr0:0 r1:2.1 r2:7.3 r3:3.8 V:0\nX:\n_p0:1\n_p1:2\n_p2:30\n_p3:o\n_p4:c\n_p5:60\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:2\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.5\nr0:0.0 r1:0.4 r2:2.5 r3:0.4 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:2\n_p1:4\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.1\nr0:0.0 r1:0.5 r2:2.6 r3:0.8 V:0\nX:\n_p0:1\n_p1:20\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:4\nY:8.6\nr0:0 r1:1.2 r2:0.7 r3:1.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:4\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:10\n_p3:o\n_p4:c\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:4\nY:8.6\nr0:0 r1:1.2 r2:0.7 r3:1.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:4.2\nr0:0.0 r1:0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:4.8\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:4\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.6\nr0:0 r1:2.0 r2:9.3 r3:3.7 V:0\nX:\n_p0:1\n_p1:16\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:5.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:30\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:5.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:8.6\nr0:0 r1:1.2 r2:0.7 r3:1.9 V:0\nX:\n_p0:20\n_p1:1\n_p2:32\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:5.0\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:4\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:8.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.4 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:3.9\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:3\n_p1:16\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.8\nr0:0.0 r1:2.4 r2:10.5 r3:4.5 V:0\nX:\n_p0:1\n_p1:4\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:8.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.4 V:1\nX:\n_p0:1\n_p1:20\n_p2:32\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:12\n_p3:o\n_p4:c\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:16\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:4\n_p3:o\n_p4:c\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:o\n_p4:c\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:4.9\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:20\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:8.6\nr0:0 r1:1.2 r2:0.7 r3:1.9 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:8.5\nr0:0 r1:0.6 r2:0.3 r3:1.0 V:0\nX:\n_p0:1\n_p1:32\n_p2:16\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:4.8\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:2\n_p2:60\n_p3:o\n_p4:c\n_p5:60\n_p6:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:4\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:1\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:5.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:8.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.4 V:1\nX:\n_p0:2\n_p1:2\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:1\n_p2:32\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:8.2\nr0:0.0 r1:0.3 r2:0.2 r3:0.5 V:1\nX:\n_p0:3\n_p1:20\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:4.2\nr0:0.0 r1:0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:4.3\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:2\n_p1:8\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:2\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:4.9\nr0:0.1 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:16\n_p2:15\n_p3:o\n_p4:o\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:6\n_p3:o\n_p4:c\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:12\n_p1:1\n_p2:32\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:10.1\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:2\n_p2:12\n_p3:o\n_p4:c\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:8\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:c\n_p4:f\n_p5:2\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:4.4\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:5\n_p3:o\n_p4:o\n_p5:1\n_p6:80\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_covariance(int m,int n,double float_n,double data[100][80],double cov[80][80],double mean[80])\n{\n  int i;\n  int j;\n  int k;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p6}\n  \n#pragma ACCEL TILE FACTOR=auto{_p10}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (j = 0; j < 80; j++) {\n    mean[j] = 0.0;\n    \n#pragma ACCEL PARALLEL reduction=mean FACTOR=auto{_p3}\n    for (i = 0; i < 100; i++) {\n      mean[j] += data[i][j];\n    }\n    mean[j] /= float_n;\n  }\n  \n#pragma ACCEL PIPELINE auto{_p7}\n  \n#pragma ACCEL TILE FACTOR=auto{_p11}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 100; i++) {\n    \n#pragma ACCEL PARALLEL reduction=data FACTOR=auto{_p4}\n    for (j = 0; j < 80; j++) {\n      data[i][j] -= mean[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    for (j = i; j < 80; j++) {\n      cov[i][j] = 0.0;\n      \n#pragma ACCEL PARALLEL reduction=cov FACTOR=auto{_p5}\n      for (k = 0; k < 100; k++) {\n        cov[i][j] += data[k][i] * data[k][j];\n      }\n      cov[i][j] /= float_n - 1.0;\n      cov[j][i] = cov[i][j];\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:2\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:2.3\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:4\n_p1:1\n_p2:32\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:100\n_p12:1\nY:4.6\nr0:0.0 r1:0.7 r2:0.3 r3:0.3 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.2\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:32\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.3\nr0:0.0 r1:0.3 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:f\n_p7:f\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:2\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:2.3\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:32\n_p6:f\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:4\n_p2:20\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:4\nY:4.3\nr0:0.0 r1:0.5 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:4\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.0\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:4\n_p1:4\n_p2:10\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:8\n_p12:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:32\n_p6:f\n_p7:f\n_p8:c\n_p9:c\n_p10:1\n_p11:2\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:10\n_p2:20\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:4\nY:4.3\nr0:0.0 r1:0.4 r2:0.2 r3:0.2 V:1\nX:\n_p0:2\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:4\n_p11:100\n_p12:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:4\n_p12:1\nY:3.3\nr0:0.1 r1:0.3 r2:0.3 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:25\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.0\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:8\n_p1:2\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:4\n_p11:8\n_p12:80\nY:3.6\nr0:0.0 r1:0.6 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.4\nr0:0.0 r1:0.4 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:5\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.2\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:1\n_p5:2\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:2.4\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:32\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:c\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:16\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:100\n_p6:o\n_p7:o\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:32\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:80\n_p11:1\n_p12:80\nY:4.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:8\n_p1:2\n_p2:5\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:8\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:20\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:8\n_p12:1\nY:1.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:5\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.1\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:8\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.3\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:10\n_p6:f\n_p7:o\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:25\n_p2:1\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:80\nY:4.3\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:8\n_p1:16\n_p2:1\n_p3:32\n_p4:1\n_p5:16\n_p6:c\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.8\nr0:0.0 r1:1.2 r2:0.5 r3:0.6 V:0\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.6\nr0:0.0 r1:0.5 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:32\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:25\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:100\n_p6:o\n_p7:f\n_p8:c\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:100\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:2\n_p1:1\n_p2:20\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:100\n_p12:4\nY:4.3\nr0:0.0 r1:0.5 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:1\n_p5:8\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\nY:8.8\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:25\n_p6:o\n_p7:o\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:100\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:10\n_p6:f\n_p7:o\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:25\n_p2:20\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:4\nY:4.3\nr0:0.0 r1:0.5 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:1.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:5\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.2\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:16\n_p4:1\n_p5:16\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.6\nr0:0.0 r1:0.4 r2:0.1 r3:0.0 V:1\nTY:1.5\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[200][240],double ey[200][240],double hz[200][240],double _fict_[100])\n{\n  int t;\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 100; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 240; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 0; j < 240; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (i = 0; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n      for (j = 1; j < 240; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 200 - 1; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 240 - 1; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-3.3\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.2 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:239\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:2.6\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:100\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:f\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.5 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:f\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:6.8\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:3\n_p6:1\n_p7:8\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-0.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:8\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.6 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:239\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.2\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:239\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.6 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:1\n_p8:o\n_p9:o\n_p10:c\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.5 r1:0.9 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:4\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:1\n_p8:o\n_p9:o\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-0.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:4\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:c\n_p10:o\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:3\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:2.6\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:16\n_p8:o\n_p9:f\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.9\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:2\n_p8:o\n_p9:f\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:32\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:6\n_p6:1\n_p7:4\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:199\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-3.2\nr0:0.9 r1:0.6 r2:0.4 r3:0.5 V:0\nX:\n_p0:8\n_p1:16\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:199\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:199\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:1\n_p4:199\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-3.2\nr0:0.9 r1:0.6 r2:0.4 r3:0.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:1\n_p6:1\n_p7:239\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.3\nr0:0.8 r1:1.8 r2:1.4 r3:1.4 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:1\n_p7:4\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:32\n_p8:o\n_p9:f\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:5\n_p6:1\n_p7:4\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.4\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 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V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:c\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:16\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:10\n_p6:1\n_p7:16\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:1\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.9\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:1\n_p7:239\n_p8:o\n_p9:f\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:1\n_p7:8\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.2\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:32\n_p3:1\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.8\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:1\n_p7:4\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.6\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:4\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.1\nr0:0.6 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:4\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:6\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.4\nr0:0.2 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-3.3\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nTY:1.4\nTV:0\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:32\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_trmm(double alpha,double A[60][60],double B[60][80])\n{\n//BLAS parameters\n//SIDE   = 'L'\n//UPLO   = 'L'\n//TRANSA = 'T'\n//DIAG   = 'U'\n// => Form  B := alpha*A**T*B.\n// A is MxM\n// B is MxN\n  \n#pragma ACCEL PIPELINE auto{_p3}\n  \n#pragma ACCEL TILE FACTOR=auto{_p5}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (int i = 0; i < 60; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p4}\n    \n#pragma ACCEL TILE FACTOR=auto{_p6}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (int j = 0; j < 80; j++) {\n      double sum = B[i][j];\n#pragma ACCEL PARALLEL reduction=sum FACTOR=auto{_p2}\n      for (int k = 0; k < 60; k++) {\n        if (k > i) {\n          sum += A[k][i] * B[k][j];\n        }\n      }\n      B[i][j] = alpha * sum;\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:8.6\nr0:0 r1:1.2 r2:0.7 r3:1.9 V:0\nX:\n_p0:2\n_p1:5\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:9.8\nr0:0.0 r1:0.6 r2:1.8 r3:1.0 V:0\nX:\n_p0:12\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:c\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:6\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:2\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:4\nY:8.6\nr0:0 r1:1.2 r2:0.7 r3:1.9 V:0\nX:\n_p0:20\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:5.0\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:10\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:8.5\nr0:0 r1:0.6 r2:0.3 r3:1.0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:4.0\nr0:0.0 r1:0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:4\n_p2:5\n_p3:o\n_p4:o\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:3\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:4.4\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:o\n_p4:c\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:o\n_p4:o\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.6\nr0:0 r1:2.0 r2:9.3 r3:3.7 V:0\nX:\n_p0:60\n_p1:1\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:3\n_p1:8\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:2.7\nr0:0.0 r1:0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:5.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:10\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:4\nY:8.6\nr0:0 r1:1.2 r2:0.7 r3:1.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:4.2\nr0:0.0 r1:0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:4\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.2\nr0:0.0 r1:0.9 r2:7.0 r3:1.5 V:0\nTY:4.2\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[200][240],double ey[200][240],double hz[200][240],double _fict_[100])\n{\n  int t;\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 100; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 240; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 0; j < 240; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (i = 0; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n      for (j = 1; j < 240; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 200 - 1; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 240 - 1; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:32\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.5 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:16\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.3\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.6 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.6 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:25\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:f\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:199\n_p3:8\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:16\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:1\n_p7:32\n_p8:o\n_p9:f\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:1\n_p8:o\n_p9:f\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:3\n_p6:1\n_p7:239\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:2.6\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:8\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.5 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:32\n_p8:o\n_p9:f\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.7\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 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V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:1\n_p7:8\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.6\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:32\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:2.0\nr0:0.6 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:16\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.5 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:32\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-0.0\nr0:0.1 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:1\n_p7:239\n_p8:o\n_p9:f\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.9\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:239\n_p8:o\n_p9:f\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:2\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:20\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:4\n_p8:o\n_p9:o\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:32\n_p2:8\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:4\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.3\nr0:0.5 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:32\n_p2:32\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:1\n_p8:o\n_p9:o\n_p10:c\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.5 r1:0.9 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:f\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:1.0\nTV:0\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_trmm(double alpha,double A[60][60],double B[60][80])\n{\n//BLAS parameters\n//SIDE   = 'L'\n//UPLO   = 'L'\n//TRANSA = 'T'\n//DIAG   = 'U'\n// => Form  B := alpha*A**T*B.\n// A is MxM\n// B is MxN\n  \n#pragma ACCEL PIPELINE auto{_p3}\n  \n#pragma ACCEL TILE FACTOR=auto{_p5}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (int i = 0; i < 60; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p4}\n    \n#pragma ACCEL TILE FACTOR=auto{_p6}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (int j = 0; j < 80; j++) {\n      \n#pragma ACCEL PARALLEL reduction=B FACTOR=auto{_p2}\n      for (int k = 0; k < 60; k++) {\n        if (k > i) {\n          B[i][j] += A[k][i] * B[k][j];\n        }\n      }\n      B[i][j] = alpha * B[i][j];\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.2\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:12\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:32\n_p2:6\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.2\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:2\n_p1:1\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.2\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:2\n_p1:16\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.2\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:10\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.2\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:15\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:5\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:16\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:o\n_p4:o\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:2\n_p1:32\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:5\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:4\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:1.3\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:3\n_p3:o\n_p4:o\n_p5:1\n_p6:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_2mm(int ni,int nj,int nk,int nl,double alpha,double beta,double tmp[40][50],double A[40][70],double B[70][50],double C[50][80],double D[40][80])\n{\n  int i;\n  int j;\n  int k;\n  \n#pragma ACCEL PIPELINE auto{_p6}\n  \n#pragma ACCEL TILE FACTOR=auto{_p10}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 40; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p8}\n    \n#pragma ACCEL TILE FACTOR=auto{_p12}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (j = 0; j < 50; j++) {\n      tmp[i][j] = 0.0;\n      \n#pragma ACCEL PARALLEL reduction = tmp FACTOR=auto{_p4}\n      for (k = 0; k < 70; ++k) {\n        tmp[i][j] += alpha * A[i][k] * B[k][j];\n      }\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p7}\n  \n#pragma ACCEL TILE FACTOR=auto{_p11}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 40; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (j = 0; j < 80; j++) {\n      D[i][j] *= beta;\n      \n#pragma ACCEL PARALLEL reduction = D FACTOR=auto{_p5}\n      for (k = 0; k < 50; ++k) {\n        D[i][j] += tmp[i][k] * C[k][j];\n      }\n    }\n  }\n}\n ```\nX:\n_p0:16\n_p1:2\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:40\n_p1:8\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:c\n_p7:c\n_p8:c\n_p9:f\n_p10:40\n_p11:2\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:1\n_p5:32\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:8.0\nr0:0.0 r1:2.7 r2:1.8 r3:6.3 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:32\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.3\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:16\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:5\n_p1:5\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:8\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:25\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.4\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:10.3\nr0:0.0 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.3\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:10\n_p4:1\n_p5:32\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:5\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:8\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:70\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:11.3\nr0:0.0 r1:2.9 r2:1.9 r3:6.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.2\nr0:0.0 r1:0.0 r2:0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:20\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:10.9\nr0:0.0 r1:1.8 r2:0.7 r3:1.6 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:14\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:6.1\nr0:0.0 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:40\n_p11:2\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:10\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.9\nr0:0.0 r1:0.2 r2:0.1 r3:0.3 V:1\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:3.7\nTV:0\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_trmm(double alpha,double A[60][60],double B[60][80])\n{\n//BLAS parameters\n//SIDE   = 'L'\n//UPLO   = 'L'\n//TRANSA = 'T'\n//DIAG   = 'U'\n// => Form  B := alpha*A**T*B.\n// A is MxM\n// B is MxN\n  \n#pragma ACCEL PIPELINE auto{_p3}\n  \n#pragma ACCEL TILE FACTOR=auto{_p5}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (int i = 0; i < 60; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p4}\n    \n#pragma ACCEL TILE FACTOR=auto{_p6}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (int j = 0; j < 80; j++) {\n      \n#pragma ACCEL PARALLEL reduction=B FACTOR=auto{_p2}\n      for (int k = 0; k < 60; k++) {\n        if (k > i) {\n          B[i][j] += A[k][i] * B[k][j];\n        }\n      }\n      B[i][j] = alpha * B[i][j];\n    }\n  }\n}\n ```\nX:\n_p0:32\n_p1:1\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:30\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:5\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:32\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:5\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:4\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:20\n_p2:8\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:0\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:o\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:2\n_p2:8\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:o\n_p4:c\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:80\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:20\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:16\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:5\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:10\n_p1:1\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:32\n_p2:5\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:30\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:15\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.2\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:2\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:30\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:1.3\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[400],double x2[400],double y_1[400],double y_2[400],double A[400][400])\n{\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 400; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 400; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n}\n ```\nX:\n_p0:20\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:10\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:2\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:4\n_p7:1\nY:1.1\nr0:0.4 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:25\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:2\n_p7:1\nY:6.1\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:8\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:400\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:25\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:4.3\nr0:0.2 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:4.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:4\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:5\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:2\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:3.2\nr0:0.2 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:400\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:6.4\nr0:0.2 r1:0.3 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:2\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:3.5\nr0:0.2 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:25\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.0\nr0:0.3 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:10\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:8\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:5\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:4\n_p7:1\nY:5.6\nr0:0.2 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:16\n_p1:16\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:4\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:25\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:1\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:4\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:2\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:25\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:1\nY:6.3\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:20\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:32\n_p1:16\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:2\n_p7:1\nY:6.2\nr0:0.4 r1:0.2 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:5\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:1\n_p7:1\nY:6.9\nr0:0.3 r1:0.1 r2:0.1 r3:0.1 V:1\nX:\n_p0:8\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:7.2\nr0:0.3 r1:2.5 r2:1.5 r3:5.2 V:0\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:400\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:400\nY:1.1\nr0:0.4 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:5\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:4\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:2\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:3.5\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:25\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:400\n_p7:8\nY:7.9\nr0:0.2 r1:1.2 r2:0.7 r3:1.9 V:0\nX:\n_p0:4\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:7.2\nr0:1.0 r1:1.2 r2:0.7 r3:2.6 V:0\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:3.1\nr0:1.0 r1:1.5 r2:0.9 r3:3.2 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:25\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:7.2\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:8\n_p1:16\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:400\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.4\nr0:0.1 r1:0.3 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:8\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:6.1\nr0:0.1 r1:1.5 r2:0.8 r3:2.6 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:5\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:5.5\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:32\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:2\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:32\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:25\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:8.5\nr0:0.2 r1:0.3 r2:0.2 r3:0.7 V:1\nX:\n_p0:20\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:1\nY:6.2\nr0:0.4 r1:0.2 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:400\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:32\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:5\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:8\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:4\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:7.8\nr0:0.3 r1:1.7 r2:1.0 r3:2.7 V:0\nX:\n_p0:32\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:1\n_p7:400\nY:7.1\nr0:0.3 r1:0.4 r2:0.2 r3:0.3 V:1\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:400\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:3.5\nr0:0.1 r1:0.3 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:400\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:20\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:7.8\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:4\nY:7.9\nr0:0.2 r1:1.8 r2:1.0 r3:3.2 V:0\nX:\n_p0:16\n_p1:16\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:4\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:25\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:2\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.1\nr0:0.2 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:4\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:3.8\nr0:0.1 r1:0.0 r2:0 r3:0.0 V:1\nX:\n_p0:2\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:6.0\nr0:0.2 r1:3.2 r2:2.0 r3:6.4 V:0\nX:\n_p0:20\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:2\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:400\nY:7.1\nr0:0.4 r1:0.2 r2:0.2 r3:0.5 V:1\nX:\n_p0:2\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:1\nY:1.1\nr0:0.5 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:400\n_p7:8\nY:7.4\nr0:0.2 r1:0.6 r2:0.4 r3:0.7 V:1\nX:\n_p0:16\n_p1:2\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:2\n_p7:8\nY:6.6\nr0:0.1 r1:0.9 r2:0.5 r3:1.3 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:25\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:5.8\nr0:0.2 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:16\n_p1:16\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:2\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:32\n_p1:16\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:4.1\nr0:0.1 r1:0.9 r2:0.5 r3:1.3 V:0\nX:\n_p0:4\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:6.7\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:3.6\nr0:0.1 r1:1.5 r2:0.8 r3:2.6 V:0\nX:\n_p0:20\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:8\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:400\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:7.9\nr0:0.2 r1:1.6 r2:0.9 r3:2.6 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:400\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:8.0\nr0:0.2 r1:2.6 r2:1.6 r3:5.1 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:10\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:7.3\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:4\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:2\n_p7:400\nY:6.1\nr0:0.3 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:5\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:6.3\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:4.3\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:4.7\nTV:0\n", "outputs":"### outputs: _p0:1\n_p1:5\n_p2:16\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_2mm(int ni,int nj,int nk,int nl,double alpha,double beta,double tmp[40][50],double A[40][70],double B[70][50],double C[50][80],double D[40][80])\n{\n  int i;\n  int j;\n  int k;\n  \n#pragma ACCEL PIPELINE auto{_p6}\n  \n#pragma ACCEL TILE FACTOR=auto{_p10}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 40; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p8}\n    \n#pragma ACCEL TILE FACTOR=auto{_p12}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (j = 0; j < 50; j++) {\n      tmp[i][j] = 0.0;\n      \n#pragma ACCEL PARALLEL reduction = tmp FACTOR=auto{_p4}\n      for (k = 0; k < 70; ++k) {\n        tmp[i][j] += alpha * A[i][k] * B[k][j];\n      }\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p7}\n  \n#pragma ACCEL TILE FACTOR=auto{_p11}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 40; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (j = 0; j < 80; j++) {\n      D[i][j] *= beta;\n      \n#pragma ACCEL PARALLEL reduction = D FACTOR=auto{_p5}\n      for (k = 0; k < 50; ++k) {\n        D[i][j] += tmp[i][k] * C[k][j];\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:16\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:16\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.9\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:10\n_p4:70\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:11.2\nr0:0.0 r1:2.6 r2:1.6 r3:5.7 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:2\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.5\nr0:0.0 r1:2.8 r2:1.9 r3:6.5 V:0\nX:\n_p0:5\n_p1:20\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:5\n_p1:8\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:80\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:32\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:14\n_p5:32\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:25\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:4\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:16\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:9.2\nTV:0\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:20\n_p4:70\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_2mm(int ni,int nj,int nk,int nl,double alpha,double beta,double tmp[40][50],double A[40][70],double B[70][50],double C[50][80],double D[40][80])\n{\n  int i;\n  int j;\n  int k;\n  \n#pragma ACCEL PIPELINE auto{_p6}\n  \n#pragma ACCEL TILE FACTOR=auto{_p10}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 40; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p8}\n    \n#pragma ACCEL TILE FACTOR=auto{_p12}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (j = 0; j < 50; j++) {\n      tmp[i][j] = 0.0;\n      \n#pragma ACCEL PARALLEL reduction = tmp FACTOR=auto{_p4}\n      for (k = 0; k < 70; ++k) {\n        tmp[i][j] += alpha * A[i][k] * B[k][j];\n      }\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p7}\n  \n#pragma ACCEL TILE FACTOR=auto{_p11}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 40; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (j = 0; j < 80; j++) {\n      D[i][j] *= beta;\n      \n#pragma ACCEL PARALLEL reduction = D FACTOR=auto{_p5}\n      for (k = 0; k < 50; ++k) {\n        D[i][j] += tmp[i][k] * C[k][j];\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:1\n_p5:2\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.1\nr0:0.0 r1:2.4 r2:1.6 r3:5.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:16\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.0\nr0:0.0 r1:2.4 r2:1.6 r3:5.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:20\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:6.0\nr0:0.0 r1:1.8 r2:0.7 r3:1.6 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:10\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.5\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:20\n_p1:10\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:4\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:7\n_p5:25\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:5\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.5\nr0:0.0 r1:2.9 r2:1.9 r3:6.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:10\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:2.8 r2:1.9 r3:6.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:5\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.5\nr0:0.0 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:20\n_p4:70\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:11.6\nr0:0.0 r1:3.6 r2:1.8 r3:5.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:2\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:40\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:8.6\nr0:0.0 r1:2.8 r2:1.9 r3:6.6 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.3\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:10\n_p1:2\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:2.3 r2:1.4 r3:5.2 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:8\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.1\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 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r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:5\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:4\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:4\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:7\n_p5:2\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.3\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:2\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:80\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:16\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.9\nr0:0.0 r1:0.1 r2:0.1 r3:0.2 V:1\nTY:3.7\nTV:0\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:4\n_p12:1\n_p13:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_trmm(double alpha,double A[60][60],double B[60][80])\n{\n//BLAS parameters\n//SIDE   = 'L'\n//UPLO   = 'L'\n//TRANSA = 'T'\n//DIAG   = 'U'\n// => Form  B := alpha*A**T*B.\n// A is MxM\n// B is MxN\n  \n#pragma ACCEL PIPELINE auto{_p3}\n  \n#pragma ACCEL TILE FACTOR=auto{_p5}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (int i = 0; i < 60; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p4}\n    \n#pragma ACCEL TILE FACTOR=auto{_p6}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (int j = 0; j < 80; j++) {\n      double sum = B[i][j];\n#pragma ACCEL PARALLEL reduction=sum FACTOR=auto{_p2}\n      for (int k = 0; k < 60; k++) {\n        if (k > i) {\n          sum += A[k][i] * B[k][j];\n        }\n      }\n      B[i][j] = alpha * sum;\n    }\n  }\n}\n ```\nX:\n_p0:2\n_p1:20\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.3\nr0:0 r1:2.1 r2:7.3 r3:3.8 V:0\nX:\n_p0:3\n_p1:80\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:3\n_p1:4\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.6\nr0:0.0 r1:0.7 r2:5.0 r3:1.1 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.7\nr0:0.0 r1:0.5 r2:0.3 r3:0.8 V:1\nX:\n_p0:1\n_p1:2\n_p2:10\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:8.7\nr0:0.0 r1:0.5 r2:0.3 r3:0.8 V:1\nX:\n_p0:1\n_p1:2\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:20\n_p2:32\n_p3:o\n_p4:c\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:12\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:2\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.7\nr0:0.0 r1:0.9 r2:0.6 r3:1.5 V:0\nX:\n_p0:1\n_p1:10\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:8.5\nr0:0 r1:0.6 r2:0.3 r3:1.0 V:0\nX:\n_p0:2\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:8\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:5.0\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:3.9\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:20\n_p2:30\n_p3:o\n_p4:c\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:5\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:8\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:8.7\nr0:0.0 r1:0.5 r2:0.3 r3:0.8 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:5\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:9.8\nr0:0.0 r1:1.0 r2:4.6 r3:1.9 V:0\nX:\n_p0:60\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:30\n_p3:o\n_p4:o\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:8.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.4 V:1\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:c\n_p4:c\n_p5:1\n_p6:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:3.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:32\n_p2:30\n_p3:o\n_p4:o\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:8.7\nr0:0.0 r1:0.9 r2:0.6 r3:1.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:5.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:2\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.4\nr0:0.0 r1:0.9 r2:2.9 r3:1.5 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:o\n_p4:o\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:4.4\nr0:0.0 r1:0.0 r2:0 r3:0 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r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:4.9\nr0:0.1 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:30\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:5.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:30\n_p3:o\n_p4:o\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:c\n_p4:o\n_p5:1\n_p6:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:3\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.8\nr0:0.0 r1:1.2 r2:5.3 r3:2.3 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.5\nr0:0 r1:0.6 r2:0.3 r3:1.0 V:0\nX:\n_p0:5\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.7\nr0:0.0 r1:1.9 r2:9.4 r3:3.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:5.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:c\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:3\n_p1:20\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:5\n_p3:o\n_p4:o\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:4.8\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:4\n_p2:15\n_p3:o\n_p4:o\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:8.2\nr0:0.0 r1:0.3 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:2\n_p2:60\n_p3:o\n_p4:c\n_p5:60\n_p6:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:10\n_p2:16\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:4.9\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:4\n_p2:60\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:8.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.4 V:1\nX:\n_p0:1\n_p1:1\n_p2:30\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:5.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:c\n_p5:60\n_p6:1\nY:10.1\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:5\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:8.2\nr0:0.0 r1:0.3 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:8\n_p2:8\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:10\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.9\nr0:0 r1:3.6 r2:16.1 r3:7.1 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:4.8\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:4\n_p1:16\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.7\nr0:0.0 r1:3.1 r2:14.8 r3:6.0 V:0\nX:\n_p0:1\n_p1:2\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:3\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.4\nr0:0.0 r1:1.5 r2:6.6 r3:2.8 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:4.3\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:8.6\nr0:0 r1:1.2 r2:0.7 r3:1.9 V:0\nX:\n_p0:1\n_p1:2\n_p2:20\n_p3:o\n_p4:c\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.4 V:1\nX:\n_p0:10\n_p1:1\n_p2:32\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:30\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:5.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:80\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:8.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.4 V:1\nX:\n_p0:2\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:8.6\nr0:0 r1:1.2 r2:0.7 r3:1.9 V:0\nX:\n_p0:2\n_p1:1\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:4.8\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:5.0\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:o\n_p4:c\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:11.0\nTV:0\n", "outputs":"### outputs: _p0:12\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_2mm(int ni,int nj,int nk,int nl,double alpha,double beta,double tmp[40][50],double A[40][70],double B[70][50],double C[50][80],double D[40][80])\n{\n  int i;\n  int j;\n  int k;\n  \n#pragma ACCEL PIPELINE auto{_p6}\n  \n#pragma ACCEL TILE FACTOR=auto{_p10}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 40; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p8}\n    \n#pragma ACCEL TILE FACTOR=auto{_p12}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (j = 0; j < 50; j++) {\n      tmp[i][j] = 0.0;\n      \n#pragma ACCEL PARALLEL reduction = tmp FACTOR=auto{_p4}\n      for (k = 0; k < 70; ++k) {\n        tmp[i][j] += alpha * A[i][k] * B[k][j];\n      }\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p7}\n  \n#pragma ACCEL TILE FACTOR=auto{_p11}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 40; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (j = 0; j < 80; j++) {\n      D[i][j] *= beta;\n      \n#pragma ACCEL PARALLEL reduction = D FACTOR=auto{_p5}\n      for (k = 0; k < 50; ++k) {\n        D[i][j] += tmp[i][k] * C[k][j];\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:10\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:3.1 r2:1.8 r3:6.6 V:0\nX:\n_p0:10\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:5\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:40\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:8\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:1\n_p5:5\n_p6:f\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.9\nr0:0.0 r1:2.4 r2:1.6 r3:5.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:8\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.5\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:4\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:2\n_p12:1\n_p13:1\nY:5.7\nr0:0.0 r1:1.2 r2:0.7 r3:2.6 V:0\nX:\n_p0:1\n_p1:10\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:80\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:70\n_p5:1\n_p6:o\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:11.3\nr0:0.0 r1:2.9 r2:1.9 r3:6.5 V:0\nX:\n_p0:1\n_p1:20\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:2\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:4\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.2\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:5\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:8\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:5\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.2\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:16\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.3\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:20\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:6.0\nr0:0.0 r1:1.8 r2:0.7 r3:1.6 V:0\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:8\nY:-\nr0:0 r1:0 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r3:0.8 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:32\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.8\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:32\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:10\n_p4:1\n_p5:5\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.5\nr0:0.0 r1:4.9 r2:3.0 r3:11.4 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:4\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.7\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:25\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:0\nX:\n_p0:1\n_p1:5\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:14\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:6.1\nr0:0.0 r1:0.2 r2:0.1 r3:0.3 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:8\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.3\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:4\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.0\nr0:0.0 r1:2.8 r2:1.9 r3:6.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:14\n_p5:2\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:5.8\nr0:0.0 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V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:5\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:10.3\nr0:0.0 r1:2.5 r2:1.6 r3:5.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:50\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:10.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:25\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.6\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:10\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:8\n_p12:1\n_p13:1\nY:5.7\nr0:0.0 r1:0.4 r2:0.2 r3:0.7 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:4\nY:5.7\nr0:0.0 r1:0.4 r2:0.2 r3:0.8 V:1\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:2\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:7\n_p5:10\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.6\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:10\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:8\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:1\n_p5:50\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:11.4\nr0:0.0 r1:2.5 r2:1.6 r3:5.7 V:0\nX:\n_p0:1\n_p1:8\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:80\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:5\n_p1:2\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:10\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.2\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:2\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:16\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.9\nr0:0.0 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.5\nr0:0.0 r1:2.5 r2:1.6 r3:5.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:20\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:10.9\nr0:0.0 r1:1.8 r2:0.7 r3:1.6 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:1\n_p5:5\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:4\n_p12:2\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:32\n_p1:5\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:8\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:32\n_p5:5\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.3\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:20\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:5.9 r2:3.5 r3:13.1 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:10.8\nr0:0.0 r1:0.2 r2:0.1 r3:0.3 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.3\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:40\n_p11:8\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:2\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.8\nr0:0.0 r1:0.0 r2:0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:80\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:4\n_p12:50\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:3.5\nr0:0.0 r1:2.5 r2:1.6 r3:5.7 V:0\nTY:4.6\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:2\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[120], double x2[120], double y_1[120], double y_2[120], double A[120][120])\n{\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 120; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 120; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:12\n_p2:1\n_p3:12\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:10.2\nr0:0.1 r1:0.2 r2:0.1 r3:0.3 V:1\nX:\n_p0:4\n_p1:2\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:24\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:2\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:8\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:30\n_p3:2\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.4\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:12\n_p4:c\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:12\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:2\n_p1:2\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:8\n_p7:8\nY:10.3\nr0:0.0 r1:0.6 r2:0.3 r3:0.8 V:1\nX:\n_p0:1\n_p1:6\n_p2:1\n_p3:30\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:9.3\nr0:0.2 r1:0.2 r2:0.2 r3:0.3 V:1\nX:\n_p0:1\n_p1:5\n_p2:12\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:8.0\nr0:0.0 r1:0.5 r2:0.3 r3:1.0 V:0\nX:\n_p0:1\n_p1:12\n_p2:1\n_p3:10\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:10.3\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:16\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:9.6\nr0:0.0 r1:1.6 r2:1.0 r3:3.1 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:6\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:9.3\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:20\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:120\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:15\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:8.4\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:3\n_p4:c\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:1\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.8\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:1\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:24\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:1\n_p2:10\n_p3:15\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.3\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 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V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:1\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:6.8\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:4\n_p1:12\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:2\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:15\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:120\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:12\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.0\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:2\n_p2:32\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:8\nY:9.1\nr0:0.1 r1:0.4 r2:0.2 r3:0.4 V:1\nX:\n_p0:8\n_p1:30\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:6\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:2\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:24\n_p2:1\n_p3:4\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:11.0\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:8\n_p1:15\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:2\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:1\nX:\n_p0:1\n_p1:1\n_p2:24\n_p3:1\n_p4:c\n_p5:f\n_p6:120\n_p7:120\nY:10.0\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:12\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:10.3\nr0:0.1 r1:0.3 r2:0.2 r3:0.3 V:1\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:12\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:9.3\nr0:0.1 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:15\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:24\n_p2:1\n_p3:8\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:11.2\nr0:0.2 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:12\n_p1:1\n_p2:1\n_p3:120\n_p4:f\n_p5:c\n_p6:1\n_p7:120\nY:11.2\nr0:0.1 r1:1.4 r2:0.8 r3:2.3 V:0\nX:\n_p0:4\n_p1:8\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.2\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:15\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:4\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:6\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:12\n_p2:1\n_p3:24\n_p4:f\n_p5:c\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:24\n_p3:1\n_p4:c\n_p5:f\n_p6:120\n_p7:8\nY:8.5\nr0:0.0 r1:1.1 r2:0.6 r3:2.1 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:24\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:9.4\nr0:0.1 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:8\n_p1:24\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:3\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:8.4\nr0:0.1 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:8\n_p1:15\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:2\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:12\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:4\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:2\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:5\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:15\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:1\n_p7:4\nY:8.0\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:3\n_p1:24\n_p2:1\n_p3:20\n_p4:f\n_p5:c\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:10\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:4\n_p7:8\nY:8.7\nr0:0.0 r1:1.4 r2:0.9 r3:2.9 V:0\nX:\n_p0:8\n_p1:3\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:1\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.6\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:15\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.4\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:3\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:4\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:6\n_p2:120\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:9.4\nr0:0.1 r1:0.6 r2:0.4 r3:1.2 V:0\nX:\n_p0:2\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:8\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:12\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:120\n_p7:2\nY:8.2\nr0:0.1 r1:0.1 r2:0.0 r3:0.2 V:1\nX:\n_p0:1\n_p1:15\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:2\n_p4:c\n_p5:o\n_p6:1\n_p7:1\nY:6.9\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:1\n_p2:12\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:2\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:6.7\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:4\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:3\n_p4:c\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:15\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:120\n_p7:1\nY:11.3\nr0:0.1 r1:0.3 r2:0.2 r3:0.4 V:1\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:1\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:6.6\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:8\n_p1:2\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:9.2\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:16\n_p2:1\n_p3:15\n_p4:f\n_p5:c\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[60][80],double ey[60][80],double hz[60][80],double _fict_[40])\n{\n  int t;\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 40; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 60; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 60; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 1; j < 80; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n    for (i = 0; i < 59; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 79; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:79\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:8.1\nr0:0.0 r1:1.3 r2:0.7 r3:0.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:59\nY:5.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:4\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:60\n_p15:59\nY:5.3\nr0:0.0 r1:0.8 r2:0.6 r3:0.6 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:2\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:79\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:4\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.6\nr0:0.0 r1:0.8 r2:0.4 r3:0.6 V:1\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:6.7\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:2.7\nr0:0.1 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:6.6\nr0:0.0 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:16\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:8\nY:3.2\nr0:0.0 r1:0.8 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.7\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:79\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.5\nr0:0.0 r1:1.3 r2:0.7 r3:0.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:79\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.6\nr0:0.0 r1:1.3 r2:0.7 r3:0.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:1\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:7.3\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:4\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:59\n_p14:60\n_p15:59\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:5\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:1\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:1\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.6\nr0:0.0 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:8\nY:3.0\nr0:0.1 r1:0.8 r2:0.4 r3:0.7 V:1\nX:\n_p0:5\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:f\n_p9:o\n_p10:o\n_p11:o\n_p12:8\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.9\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:4\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:79\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.7\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:32\n_p8:o\n_p9:f\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:79\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:8.1\nr0:0.0 r1:0.7 r2:0.4 r3:0.5 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V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:4\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:1\n_p8:o\n_p9:f\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:60\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.7\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:4\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:c\n_p10:f\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:79\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:2.9\nr0:0.0 r1:0.5 r2:0.2 r3:0.4 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.1\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:c\n_p12:1\n_p13:59\n_p14:60\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:8.7\nr0:0.0 r1:0.4 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:f\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:9.3\nr0:0.0 r1:0.4 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:79\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.6\nr0:0.0 r1:1.3 r2:0.7 r3:0.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:79\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:8\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.2\nr0:0.0 r1:0.2 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:4\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:1\n_p8:o\n_p9:f\n_p10:f\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.1\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:4\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:6.6\nr0:0.0 r1:0.8 r2:0.4 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:2\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:16\n_p2:1\n_p3:16\n_p4:2\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:59\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:60\n_p15:1\nY:6.6\nr0:0.0 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.1\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:8\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.6\nr0:0.0 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:2\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.6\nr0:0.0 r1:0.6 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:79\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.5\nr0:0.0 r1:1.3 r2:0.7 r3:0.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:79\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.5\nr0:0.0 r1:1.3 r2:0.7 r3:0.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:16\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.1 r1:0.2 r2:0.1 r3:0.2 V:1\nTY:4.6\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:79\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[200][240],double ey[200][240],double hz[200][240],double _fict_[100])\n{\n  int t;\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 100; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 240; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 0; j < 240; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (i = 0; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n      for (j = 1; j < 240; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 200 - 1; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 240 - 1; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-0.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:239\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.7\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:1\n_p8:o\n_p9:f\n_p10:c\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:2\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.2\nr0:0.5 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.4 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:4\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.6 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-3.3\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:3.4\nr0:0.6 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:8\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:4\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.9\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:16\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.6 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:100\n_p1:1\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:8\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.9\nr0:0.6 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:32\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:16\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:5\n_p1:32\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.5 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:32\n_p7:1\n_p8:o\n_p9:o\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:8\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:4\n_p3:1\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:1\n_p7:239\n_p8:o\n_p9:f\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.5 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:2\n_p8:o\n_p9:o\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-0.2\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-3.3\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:32\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:199\n_p3:10\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.4 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:f\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.3\nr0:0.8 r1:1.8 r2:1.4 r3:1.4 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:32\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.5 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:4\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:25\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:32\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.4\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 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V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:5\n_p6:1\n_p7:16\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:4\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:199\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:8\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.2 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.3\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:2\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.0\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:199\n_p14:1\n_p15:199\nY:-0.0\nr0:0.1 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:8\n_p1:32\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:1\n_p7:8\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.9\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:2\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-3.2\nr0:0.9 r1:0.9 r2:0.6 r3:1.0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:2\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:8\n_p8:o\n_p9:o\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:2\n_p8:o\n_p9:o\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:1\n_p8:o\n_p9:f\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.5 r1:0.6 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:16\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:3\n_p6:1\n_p7:239\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:2.6\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:8\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.3\nr0:0.6 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.4\nr0:0.2 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:239\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:32\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:2.0\nr0:0.6 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:f\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:6.8\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nTY:0.1\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:2\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[120], double x2[120], double y_1[120], double y_2[120], double A[120][120])\n{\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 120; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 120; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:4\n_p1:1\n_p2:8\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:9.3\nr0:0.1 r1:0.0 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V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:8\n_p4:c\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:12\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:6\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.4 V:1\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:1\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:6.6\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:1\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:4\n_p7:120\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:20\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:15\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:30\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:32\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:24\n_p3:1\n_p4:c\n_p5:f\n_p6:120\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:2\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:12\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.3\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:32\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:2\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:10\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:8\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:24\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.3\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:20\n_p1:20\n_p2:24\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:10.3\nr0:0.0 r1:2.2 r2:1.4 r3:4.1 V:0\nX:\n_p0:8\n_p1:20\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:2\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:24\n_p2:1\n_p3:3\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:10.9\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:8\n_p1:4\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:12\n_p2:1\n_p3:20\n_p4:f\n_p5:o\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:24\n_p3:4\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.2\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:120\n_p4:c\n_p5:o\n_p6:1\n_p7:1\nY:7.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:30\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:32\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:10\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:10\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:8\nY:8.8\nr0:0.0 r1:1.4 r2:0.8 r3:2.7 V:0\nX:\n_p0:1\n_p1:15\n_p2:1\n_p3:10\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:8.3\nr0:0.2 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:16\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:2\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:9.0\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:12\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:120\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:10\n_p4:c\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:3\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:8\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:15\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:8\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:3\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:32\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:3\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:120\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:7.3\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:3\n_p3:20\n_p4:c\n_p5:o\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[60][80],double ey[60][80],double hz[60][80],double _fict_[40])\n{\n  int t;\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 40; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 60; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 60; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 1; j < 80; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n    for (i = 0; i < 59; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 79; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:20\n_p1:16\n_p2:1\n_p3:1\n_p4:2\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:4\n_p3:1\n_p4:2\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:4\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:0\nX:\n_p0:1\n_p1:1\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.6\nr0:0.0 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:79\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.5\nr0:0.0 r1:1.3 r2:0.7 r3:0.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:1\n_p6:4\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.5\nr0:0.0 r1:1.3 r2:0.7 r3:0.9 V:0\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:20\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:16\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:60\n_p15:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:59\n_p3:16\n_p4:15\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:32\n_p1:16\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:59\n_p14:60\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:4\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:8\n_p14:60\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:4\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:60\n_p15:1\nY:1.5\nr0:0.0 r1:0.7 r2:0.4 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:8\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:32\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:4\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:59\nY:6.7\nr0:0.0 r1:0.7 r2:0.3 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:8\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.6\nr0:0.0 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:2.9\nr0:0.0 r1:0.5 r2:0.2 r3:0.4 V:1\nX:\n_p0:1\n_p1:1\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:4\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.6\nr0:0.0 r1:1.3 r2:0.5 r3:0.9 V:0\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:4\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.6\nr0:0.0 r1:0.8 r2:0.4 r3:0.6 V:1\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nTY:3.1\nTV:0\n", "outputs":"### outputs: _p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:60\n_p15:8\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[200][240],double ey[200][240],double hz[200][240],double _fict_[100])\n{\n  int t;\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 100; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 240; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 0; j < 240; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (i = 0; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n      for (j = 1; j < 240; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 200 - 1; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 240 - 1; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:239\n_p8:o\n_p9:f\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:6\n_p6:1\n_p7:16\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.9\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:32\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.8\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.6 r1:0.9 r2:0.4 r3:0.7 V:0\nTY:0.1\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:2\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:16\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[400],double x2[400],double y_1[400],double y_2[400],double A[400][400])\n{\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 400; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 400; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n}\n ```\nX:\n_p0:25\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:3.5\nr0:0.3 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:4\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:4\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:10\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:8\n_p7:400\nY:7.0\nr0:0.4 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:4\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:6.9\nr0:0.2 r1:1.5 r2:0.8 r3:2.6 V:0\nX:\n_p0:20\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:1\n_p7:400\nY:7.2\nr0:0.4 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:25\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:8\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:25\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:6.7\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:400\n_p7:1\nY:5.8\nr0:0.4 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:1\nY:5.6\nr0:0.3 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:5\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:3.3\nr0:0.1 r1:0.0 r2:0 r3:0.0 V:1\nX:\n_p0:5\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:2\n_p7:400\nY:5.3\nr0:0.2 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:400\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:400\nY:6.2\nr0:0.4 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:16\n_p1:1\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.6\nr0:0.3 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.8\nr0:0.4 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:25\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:1\n_p7:400\nY:7.1\nr0:0.3 r1:0.4 r2:0.3 r3:0.2 V:1\nX:\n_p0:25\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:8\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:400\nY:6.6\nr0:0.5 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:16\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.0\nr0:0.3 r1:0.1 r2:0.1 r3:0.1 V:1\nX:\n_p0:2\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:25\n_p3:10\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.4\nr0:0.3 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:3.2\nr0:0.3 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:25\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:2\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:16\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:6.7\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:25\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:7.9\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 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V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.5\nr0:0.2 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:5\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:4\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:400\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:4\n_p7:1\nY:6.4\nr0:0.4 r1:0.2 r2:0.2 r3:0.5 V:1\nX:\n_p0:20\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:25\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:6.0\nr0:0.2 r1:3.2 r2:2.0 r3:6.4 V:0\nX:\n_p0:32\n_p1:16\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:1\nY:7.0\nr0:0.3 r1:0.4 r2:0.2 r3:0.3 V:1\nX:\n_p0:1\n_p1:4\n_p2:25\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:4.8\nr0:1.0 r1:1.2 r2:0.7 r3:2.6 V:0\nX:\n_p0:1\n_p1:5\n_p2:5\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:4.3\nr0:1.0 r1:1.5 r2:0.9 r3:3.2 V:0\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:4\n_p7:1\nY:5.9\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:2\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:3.5\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:16\n_p1:16\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:400\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:6.4\nr0:0.2 r1:0.3 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:25\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.5\nr0:0.4 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:4\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:10\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:5.3\nr0:0.1 r1:2.6 r2:1.5 r3:5.1 V:0\nX:\n_p0:20\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.1\nr0:0.4 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:4.3\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:4\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.0\nr0:0.4 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:2\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:2\n_p7:400\nY:1.1\nr0:0.5 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:16\n_p1:4\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:2\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:5.0\nr0:0.3 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:1\nY:5.9\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:7.9\nr0:0.2 r1:0.6 r2:0.3 r3:0.6 V:1\nX:\n_p0:4\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:10\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:8\n_p7:1\nY:6.4\nr0:0.4 r1:0.1 r2:0.1 r3:0.3 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:3.6\nr0:0.1 r1:2.6 r2:1.5 r3:5.1 V:0\nX:\n_p0:1\n_p1:5\n_p2:5\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:4.3\nr0:1.0 r1:1.5 r2:0.9 r3:3.2 V:0\nX:\n_p0:20\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:1\nY:6.9\nr0:0.3 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:25\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:4.4\nr0:0.3 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:16\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.6\nr0:0.2 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:7.1\nr0:0.5 r1:0.3 r2:0.2 r3:0.7 V:1\nX:\n_p0:25\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:8\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:1\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:400\nY:7.2\nr0:1.0 r1:1.2 r2:0.7 r3:2.6 V:0\nX:\n_p0:16\n_p1:16\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:1\nY:5.9\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:20\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:7.8\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:8\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:7.7\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:8\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:6.7\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:20\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:7.3\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:16\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:5.9\nr0:0.4 r1:0.4 r2:0.3 r3:0.7 V:1\nX:\n_p0:2\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:1\nY:5.4\nr0:0.5 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:400\n_p7:1\nY:5.0\nr0:1.1 r1:1.5 r2:1.0 r3:3.2 V:0\nX:\n_p0:1\n_p1:16\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:400\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:16\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:4.9\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:16\n_p1:1\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:2\n_p7:400\nY:6.7\nr0:0.1 r1:0.6 r2:0.3 r3:0.7 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:7.9\nr0:0.2 r1:0.9 r2:0.5 r3:1.3 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:4\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:4.8\nr0:0.3 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:25\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:6.9\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:16\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:400\nY:7.2\nr0:0.5 r1:0.1 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:400\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:7.9\nr0:0.2 r1:0.9 r2:0.5 r3:1.3 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:7.7\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:8\n_p2:1\n_p3:20\n_p4:f\n_p5:c\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_2mm(int ni,int nj,int nk,int nl,double alpha,double beta,double tmp[40][50],double A[40][70],double B[70][50],double C[50][80],double D[40][80])\n{\n  int i;\n  int j;\n  int k;\n  \n#pragma ACCEL PIPELINE auto{_p6}\n  \n#pragma ACCEL TILE FACTOR=auto{_p10}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 40; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p8}\n    \n#pragma ACCEL TILE FACTOR=auto{_p12}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (j = 0; j < 50; j++) {\n      tmp[i][j] = 0.0;\n      \n#pragma ACCEL PARALLEL reduction = tmp FACTOR=auto{_p4}\n      for (k = 0; k < 70; ++k) {\n        tmp[i][j] += alpha * A[i][k] * B[k][j];\n      }\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p7}\n  \n#pragma ACCEL TILE FACTOR=auto{_p11}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 40; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (j = 0; j < 80; j++) {\n      D[i][j] *= beta;\n      \n#pragma ACCEL PARALLEL reduction = D FACTOR=auto{_p5}\n      for (k = 0; k < 50; ++k) {\n        D[i][j] += tmp[i][k] * C[k][j];\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:4\n_p12:1\n_p13:1\nY:5.6\nr0:0.0 r1:0.4 r2:0.2 r3:0.7 V:1\nX:\n_p0:1\n_p1:20\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:14\n_p5:2\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.0\nr0:0.0 r1:0.0 r2:0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:50\n_p13:1\nY:3.7\nr0:0.0 r1:2.9 r2:1.9 r3:6.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:o\n_p7:f\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:11.0\nr0:0.0 r1:2.9 r2:1.9 r3:6.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:7\n_p5:4\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.2\nr0:0.0 r1:0.0 r2:0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:7\n_p5:10\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.6\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:16\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.6\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:5\n_p4:70\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:10.3\nr0:0.0 r1:2.5 r2:1.6 r3:5.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.5\nr0:0.0 r1:2.9 r2:1.9 r3:6.5 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V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:7\n_p5:50\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:5\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:20\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:4\n_p12:1\n_p13:1\nY:3.7\nr0:0.0 r1:1.5 r2:1.4 r3:5.3 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:14\n_p5:25\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:c\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:10.8\nr0:0.0 r1:0.2 r2:0.1 r3:0.3 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:14\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:6.1\nr0:0.0 r1:2.9 r2:1.9 r3:6.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:5\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.2\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:50\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:f\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:16\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.9\nr0:0.0 r1:0.2 r2:0.1 r3:0.3 V:1\nX:\n_p0:40\n_p1:8\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:2\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:1.5 r2:0.9 r3:3.3 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:50\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.0\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:1\n_p5:50\n_p6:f\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:11.5\nr0:0.0 r1:2.5 r2:1.7 r3:5.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.4 r2:0.2 r3:0.7 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.2 V:1\nX:\n_p0:1\n_p1:8\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:4\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:3.5\nTV:0\n", "outputs":"### outputs: _p0:2\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[200][240],double ey[200][240],double hz[200][240],double _fict_[100])\n{\n  int t;\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 100; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 240; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 0; j < 240; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (i = 0; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n      for (j = 1; j < 240; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 200 - 1; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 240 - 1; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:10\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:1\n_p7:2\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.2\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.5 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:8\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.3\nr0:0.6 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:32\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.4\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:32\n_p2:199\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:20\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:1\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.3 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.6 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:32\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:2.0\nr0:0.6 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:16\n_p2:199\n_p3:2\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:4\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.6 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.5 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:f\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.3\nr0:0.8 r1:1.8 r2:1.4 r3:1.4 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.5 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:5\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.9\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.5 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:16\n_p1:16\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:10\n_p1:16\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:239\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:32\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.7\nr0:0.5 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:4\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.5 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:4\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.2\nr0:0.5 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:239\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.2\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:f\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:1\n_p7:16\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:2.0\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:239\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.7\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-3.2\nr0:0.5 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-0.2\nr0:0.2 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:16\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:239\n_p8:o\n_p9:f\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:239\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.9\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:20\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:199\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:32\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.5 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:239\n_p8:o\n_p9:f\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.5\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:1\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.0\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nTY:0.9\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:8\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[60][80],double ey[60][80],double hz[60][80],double _fict_[40])\n{\n  int t;\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 40; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 60; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 60; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 1; j < 80; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n    for (i = 0; i < 59; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 79; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:8\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.0 r1:0.2 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:79\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.5\nr0:0.0 r1:0.6 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:16\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.6\nr0:0.0 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:2\n_p5:1\n_p6:59\n_p7:1\n_p8:o\n_p9:f\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:8\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:4\n_p3:1\n_p4:2\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.0 r1:0.8 r2:0.5 r3:0.6 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:2\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:2\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.6\nr0:0.0 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:2\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.6\nr0:0.0 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:79\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:16\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:1\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.6\nr0:0.0 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:4\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.6\nr0:0.0 r1:1.3 r2:0.7 r3:0.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:f\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:9.3\nr0:0.0 r1:0.4 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:8\nY:3.2\nr0:0.0 r1:0.8 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:10\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:8.7\nr0:0.0 r1:0.4 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:16\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:79\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:2.9\nr0:0.0 r1:0.5 r2:0.2 r3:0.4 V:1\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:60\n_p15:59\nY:6.7\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.5\nr0:0.0 r1:1.3 r2:0.7 r3:0.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:4\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:1\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:2\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.6\nr0:0.0 r1:0.6 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:5\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.5\nr0:0.0 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:8\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:16\n_p2:59\n_p3:16\n_p4:2\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:60\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:32\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.6\nr0:0.0 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:59\nY:4.7\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:2\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:59\n_p14:1\n_p15:8\nY:3.5\nr0:0.0 r1:1.0 r2:0.5 r3:0.8 V:0\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:4\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:2\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.1\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:60\n_p15:8\nY:3.5\nr0:0.0 r1:2.4 r2:1.2 r3:2.6 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:8\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.7\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:79\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.6\nr0:0.0 r1:0.6 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:32\n_p8:o\n_p9:f\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.9\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:8\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.6\nr0:0.0 r1:2.4 r2:1.3 r3:1.8 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:59\nY:5.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:4\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.6\nr0:0.0 r1:0.8 r2:0.4 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:79\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:2.9\nr0:0.0 r1:0.5 r2:0.2 r3:0.4 V:1\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:3\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:6\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:5\n_p1:1\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:8.1\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:2.9\nr0:0.0 r1:0.5 r2:0.2 r3:0.4 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:8\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:79\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:2.9\nr0:0.0 r1:0.5 r2:0.2 r3:0.4 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:59\n_p14:60\n_p15:8\nY:3.1\nr0:0.1 r1:0.8 r2:0.4 r3:0.7 V:0\nX:\n_p0:8\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:79\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.6\nr0:0.0 r1:0.6 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:8\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:4\n_p14:60\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:f\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:16\n_p2:4\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:60\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:7.9\nr0:0.0 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:c\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.8\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:79\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:2\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.1\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:16\n_p1:16\n_p2:59\n_p3:16\n_p4:2\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:4\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.0 r1:0.7 r2:0.3 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:79\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:8.1\nr0:0.0 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:79\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.7\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:79\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.5\nr0:0.0 r1:1.3 r2:0.7 r3:0.9 V:0\nTY:6.6\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:4\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_trmm(double alpha,double A[60][60],double B[60][80])\n{\n//BLAS parameters\n//SIDE   = 'L'\n//UPLO   = 'L'\n//TRANSA = 'T'\n//DIAG   = 'U'\n// => Form  B := alpha*A**T*B.\n// A is MxM\n// B is MxN\n  \n#pragma ACCEL PIPELINE auto{_p3}\n  \n#pragma ACCEL TILE FACTOR=auto{_p5}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (int i = 0; i < 60; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p4}\n    \n#pragma ACCEL TILE FACTOR=auto{_p6}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (int j = 0; j < 80; j++) {\n      \n#pragma ACCEL PARALLEL reduction=B FACTOR=auto{_p2}\n      for (int k = 0; k < 60; k++) {\n        if (k > i) {\n          B[i][j] += A[k][i] * B[k][j];\n        }\n      }\n      B[i][j] = alpha * B[i][j];\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.2\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:o\n_p4:c\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.2\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:2\n_p2:3\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.2\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:2\n_p2:12\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:2\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:1.3\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:15\n_p3:o\n_p4:o\n_p5:1\n_p6:80\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_trmm(double alpha,double A[60][60],double B[60][80])\n{\n//BLAS parameters\n//SIDE   = 'L'\n//UPLO   = 'L'\n//TRANSA = 'T'\n//DIAG   = 'U'\n// => Form  B := alpha*A**T*B.\n// A is MxM\n// B is MxN\n  \n#pragma ACCEL PIPELINE auto{_p3}\n  \n#pragma ACCEL TILE FACTOR=auto{_p5}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (int i = 0; i < 60; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p4}\n    \n#pragma ACCEL TILE FACTOR=auto{_p6}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (int j = 0; j < 80; j++) {\n      double sum = B[i][j];\n#pragma ACCEL PARALLEL reduction=sum FACTOR=auto{_p2}\n      for (int k = 0; k < 60; k++) {\n        if (k > i) {\n          sum += A[k][i] * B[k][j];\n        }\n      }\n      B[i][j] = alpha * sum;\n    }\n  }\n}\n ```\nX:\n_p0:12\n_p1:1\n_p2:32\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:o\n_p4:o\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:32\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:8.5\nr0:0 r1:0.6 r2:0.3 r3:1.0 V:0\nX:\n_p0:12\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:2.7\nr0:0.0 r1:0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:32\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:3\n_p1:4\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.6\nr0:0.0 r1:0.7 r2:5.0 r3:1.1 V:0\nX:\n_p0:4\n_p1:2\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.5\nr0:0.0 r1:0.5 r2:6.7 r3:0.7 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:8.7\nr0:0.0 r1:0.5 r2:0.3 r3:0.8 V:1\nX:\n_p0:1\n_p1:5\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:60\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:5.0\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:16\n_p1:1\n_p2:32\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:4.9\nr0:0.1 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:2\n_p1:5\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:9.8\nr0:0.0 r1:0.6 r2:1.8 r3:1.0 V:0\nX:\n_p0:5\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.7\nr0:0.0 r1:1.9 r2:9.4 r3:3.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:4.9\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:4\n_p1:5\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:9.8\nr0:0.0 r1:1.0 r2:4.6 r3:1.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:30\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:5.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:3\n_p1:80\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.4\nr0:0.0 r1:0.9 r2:2.9 r3:1.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:c\n_p4:o\n_p5:1\n_p6:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:3\n_p1:8\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:15\n_p3:o\n_p4:c\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:3\n_p3:o\n_p4:o\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:3.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:3.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.6\nr0:0.0 r1:1.6 r2:7.4 r3:3.0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:4.0\nr0:0.0 r1:0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:8\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:8.7\nr0:0.0 r1:0.5 r2:0.3 r3:0.8 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:4.9\nr0:0.1 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:8\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:8.7\nr0:0.0 r1:0.5 r2:0.3 r3:0.8 V:1\nTY:8.4\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:2\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_trmm(double alpha,double A[60][60],double B[60][80])\n{\n//BLAS parameters\n//SIDE   = 'L'\n//UPLO   = 'L'\n//TRANSA = 'T'\n//DIAG   = 'U'\n// => Form  B := alpha*A**T*B.\n// A is MxM\n// B is MxN\n  \n#pragma ACCEL PIPELINE auto{_p3}\n  \n#pragma ACCEL TILE FACTOR=auto{_p5}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (int i = 0; i < 60; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p4}\n    \n#pragma ACCEL TILE FACTOR=auto{_p6}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (int j = 0; j < 80; j++) {\n      \n#pragma ACCEL PARALLEL reduction=B FACTOR=auto{_p2}\n      for (int k = 0; k < 60; k++) {\n        if (k > i) {\n          B[i][j] += A[k][i] * B[k][j];\n        }\n      }\n      B[i][j] = alpha * B[i][j];\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:30\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:12\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:80\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:80\n_p2:5\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 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V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:16\n_p2:10\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:1.3\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:80\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_covariance(int m,int n,double float_n,double data[100][80],double cov[80][80],double mean[80])\n{\n  int i;\n  int j;\n  int k;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p6}\n  \n#pragma ACCEL TILE FACTOR=auto{_p10}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (j = 0; j < 80; j++) {\n    mean[j] = 0.0;\n    \n#pragma ACCEL PARALLEL reduction=mean FACTOR=auto{_p3}\n    for (i = 0; i < 100; i++) {\n      mean[j] += data[i][j];\n    }\n    mean[j] /= float_n;\n  }\n  \n#pragma ACCEL PIPELINE auto{_p7}\n  \n#pragma ACCEL TILE FACTOR=auto{_p11}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 100; i++) {\n    \n#pragma ACCEL PARALLEL reduction=data FACTOR=auto{_p4}\n    for (j = 0; j < 80; j++) {\n      data[i][j] -= mean[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    for (j = i; j < 80; j++) {\n      cov[i][j] = 0.0;\n      \n#pragma ACCEL PARALLEL reduction=cov FACTOR=auto{_p5}\n      for (k = 0; k < 100; k++) {\n        cov[i][j] += data[k][i] * data[k][j];\n      }\n      cov[i][j] /= float_n - 1.0;\n      cov[j][i] = cov[i][j];\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:16\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.3\nr0:0.0 r1:0.4 r2:0.2 r3:0.1 V:1\nX:\n_p0:8\n_p1:10\n_p2:1\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:80\nY:4.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:32\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:8\n_p12:1\nY:3.6\nr0:0.0 r1:0.8 r2:0.3 r3:0.3 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:100\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:7.2\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:2\n_p12:1\nY:3.3\nr0:0.0 r1:0.3 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:c\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:2\n_p6:o\n_p7:o\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:25\n_p2:32\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.6\nr0:0.0 r1:0.6 r2:0.3 r3:0.2 V:1\nX:\n_p0:8\n_p1:1\n_p2:1\n_p3:32\n_p4:1\n_p5:1\n_p6:c\n_p7:f\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:5\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.2\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:1\n_p5:32\n_p6:f\n_p7:f\n_p8:c\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:16\n_p6:f\n_p7:o\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:10\n_p2:20\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:4\nY:4.3\nr0:0.0 r1:0.4 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:25\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:100\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:4\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:80\n_p11:8\n_p12:1\nY:3.6\nr0:0.0 r1:0.4 r2:0.1 r3:0.1 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V:1\nX:\n_p0:8\n_p1:2\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:8\n_p12:1\nY:3.6\nr0:0.0 r1:0.8 r2:0.3 r3:0.4 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:1.5\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:4\n_p2:10\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:8\nY:4.3\nr0:0.0 r1:0.6 r2:0.2 r3:0.3 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:10\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:32\n_p4:1\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:2\n_p6:f\n_p7:o\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:25\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:4\n_p12:1\nY:3.3\nr0:0.0 r1:0.3 r2:0.3 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:1\n_p5:2\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:2.4\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:25\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:2\n_p12:1\nY:2.9\nr0:0.0 r1:0.2 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\nY:7.2\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:16\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:2\n_p1:4\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:c\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:4\n_p2:32\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:80\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:1\n_p5:20\n_p6:f\n_p7:f\n_p8:c\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:10\n_p2:10\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:8\n_p11:1\n_p12:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:1\n_p2:20\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:c\n_p8:f\n_p9:o\n_p10:1\n_p11:100\n_p12:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:4\n_p6:f\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:5\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.1\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:20\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.0\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:100\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:5.0\nr0:0.1 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\nY:7.8\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:8\n_p1:2\n_p2:32\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:2\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:10\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:32\n_p6:f\n_p7:f\n_p8:c\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:20\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:100\n_p12:4\nY:4.3\nr0:0.0 r1:0.4 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:32\n_p6:o\n_p7:o\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:4.3\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:4\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[120], double x2[120], double y_1[120], double y_2[120], double A[120][120])\n{\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 120; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 120; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.3\nr0:0.1 r1:0.0 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V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:30\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:10.1\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:15\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:10.3\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:8\n_p1:2\n_p2:32\n_p3:1\n_p4:c\n_p5:f\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:2\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:1\n_p7:2\nY:3.7\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:6\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:9.8\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:10\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:9.3\nr0:0.1 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:8\n_p1:1\n_p2:32\n_p3:1\n_p4:c\n_p5:f\n_p6:4\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:3\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:16\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:10.7\nr0:0.0 r1:1.7 r2:1.0 r3:3.1 V:0\nX:\n_p0:2\n_p1:12\n_p2:1\n_p3:30\n_p4:f\n_p5:o\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:0\nX:\n_p0:1\n_p1:10\n_p2:120\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:9.4\nr0:0.1 r1:1.2 r2:0.6 r3:1.9 V:0\nX:\n_p0:1\n_p1:30\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:120\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:8\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:15\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:8.1\nr0:0.0 r1:0.4 r2:0.2 r3:0.8 V:1\nX:\n_p0:4\n_p1:32\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:5\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:8\nY:7.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.1 V:1\nX:\n_p0:8\n_p1:1\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:4\n_p7:120\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:4\n_p7:120\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:2\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:8\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:1\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:1\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:8\n_p7:120\nY:9.6\nr0:0.0 r1:0.5 r2:0.3 r3:1.0 V:0\nX:\n_p0:1\n_p1:5\n_p2:15\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:8.0\nr0:0.0 r1:0.5 r2:0.3 r3:1.0 V:0\nX:\n_p0:20\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:9.6\nr0:0.0 r1:1.9 r2:1.2 r3:3.9 V:0\nX:\n_p0:8\n_p1:3\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:15\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:8.0\nr0:0.0 r1:1.0 r2:0.6 r3:1.9 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:16\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:30\n_p2:1\n_p3:5\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:9.3\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:4\n_p1:2\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:4\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:3\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:9.6\nr0:0.0 r1:0.4 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:8\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:4\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:2\n_p2:24\n_p3:1\n_p4:c\n_p5:f\n_p6:2\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:1\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:24\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:120\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:4\n_p2:24\n_p3:1\n_p4:o\n_p5:f\n_p6:2\n_p7:1\nY:10.5\nr0:0.0 r1:0.5 r2:0.3 r3:0.8 V:1\nX:\n_p0:4\n_p1:4\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:4\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:5\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:6.7\nr0:0.0 r1:0.0 r2:0 r3:0.0 V:1\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:9.4\nr0:0.1 r1:1.0 r2:0.6 r3:1.9 V:0\nX:\n_p0:20\n_p1:20\n_p2:24\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:10.3\nr0:0.0 r1:2.2 r2:1.4 r3:4.1 V:0\nTY:7.2\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:3\n_p2:2\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_covariance(int m,int n,double float_n,double data[100][80],double cov[80][80],double mean[80])\n{\n  int i;\n  int j;\n  int k;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p6}\n  \n#pragma ACCEL TILE FACTOR=auto{_p10}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (j = 0; j < 80; j++) {\n    mean[j] = 0.0;\n    \n#pragma ACCEL PARALLEL reduction=mean FACTOR=auto{_p3}\n    for (i = 0; i < 100; i++) {\n      mean[j] += data[i][j];\n    }\n    mean[j] /= float_n;\n  }\n  \n#pragma ACCEL PIPELINE auto{_p7}\n  \n#pragma ACCEL TILE FACTOR=auto{_p11}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 100; i++) {\n    \n#pragma ACCEL PARALLEL reduction=data FACTOR=auto{_p4}\n    for (j = 0; j < 80; j++) {\n      data[i][j] -= mean[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    for (j = i; j < 80; j++) {\n      cov[i][j] = 0.0;\n      \n#pragma ACCEL PARALLEL reduction=cov FACTOR=auto{_p5}\n      for (k = 0; k < 100; k++) {\n        cov[i][j] += data[k][i] * data[k][j];\n      }\n      cov[i][j] /= float_n - 1.0;\n      cov[j][i] = cov[i][j];\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:1\n_p6:f\n_p7:o\n_p8:c\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:16\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:8\n_p1:2\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:8\n_p12:80\nY:3.6\nr0:0.0 r1:0.8 r2:0.3 r3:0.4 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:1\n_p5:4\n_p6:f\n_p7:f\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:1\n_p5:16\n_p6:o\n_p7:f\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:10\n_p6:o\n_p7:o\n_p8:c\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:4\n_p2:32\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:2\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:5\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.1\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:80\n_p11:100\n_p12:80\nY:4.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:100\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:2\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:10\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:2\n_p1:1\n_p2:10\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:100\n_p12:8\nY:4.3\nr0:0.0 r1:0.4 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:25\n_p6:f\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:100\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:4\n_p2:20\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:2\n_p12:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:4\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.0\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:80\n_p11:100\n_p12:8\nY:4.3\nr0:0.0 r1:0.4 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:20\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:5\n_p6:o\n_p7:o\n_p8:c\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:32\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:8\n_p1:16\n_p2:1\n_p3:32\n_p4:1\n_p5:16\n_p6:c\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.8\nr0:0.0 r1:1.2 r2:0.5 r3:0.6 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:8\n_p1:4\n_p2:1\n_p3:32\n_p4:1\n_p5:16\n_p6:c\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:16\n_p4:1\n_p5:16\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.6\nr0:0.0 r1:0.4 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nTY:5.0\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:100\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[200][240],double ey[200][240],double hz[200][240],double _fict_[100])\n{\n  int t;\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 100; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 240; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 0; j < 240; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (i = 0; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n      for (j = 1; j < 240; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 200 - 1; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 240 - 1; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:1\n_p7:16\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.7\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.4 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:5\n_p1:1\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:16\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.5 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:10\n_p6:1\n_p7:4\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:16\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.6 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.3\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:1\n_p7:4\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.6\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:25\n_p1:16\n_p2:199\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:2\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.0\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:8\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.5 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:1\n_p7:8\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.2\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.1 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.5 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:32\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:239\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:8\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.9\nr0:0.1 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:16\n_p2:199\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:c\n_p10:o\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-3.2\nr0:0.5 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:12\n_p6:1\n_p7:4\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.7\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:4\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:10\n_p1:16\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:4\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:32\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.5 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:10\n_p6:1\n_p7:2\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:2\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:1\n_p7:16\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.2\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:2\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.6 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:10\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:2.2\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:239\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:239\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.5 r1:0.9 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:25\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:1\n_p6:1\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:239\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.2\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nTY:0.5\nTV:0\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:1\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[120], double x2[120], double y_1[120], double y_2[120], double A[120][120])\n{\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 120; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 120; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:8\n_p1:10\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:0\nX:\n_p0:8\n_p1:5\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:5\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.8\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:6\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.3\nr0:0.0 r1:0.0 r2:0 r3:0.0 V:1\nX:\n_p0:1\n_p1:3\n_p2:1\n_p3:4\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:8.1\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:2\n_p1:1\n_p2:8\n_p3:24\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:9.0\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:12\n_p2:1\n_p3:4\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:10.0\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:3\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:120\n_p7:4\nY:7.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:8\n_p2:30\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:8.8\nr0:0.0 r1:0.8 r2:0.5 r3:1.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:30\n_p3:15\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:8.4\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:2\n_p1:1\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:8.0\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:10\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:1\n_p7:1\nY:9.2\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:15\n_p4:c\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:3\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.8\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nTY:8.9\nTV:1\n", "outputs":"### outputs: _p0:4\n_p1:8\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:2\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_2mm(int ni,int nj,int nk,int nl,double alpha,double beta,double tmp[40][50],double A[40][70],double B[70][50],double C[50][80],double D[40][80])\n{\n  int i;\n  int j;\n  int k;\n  \n#pragma ACCEL PIPELINE auto{_p6}\n  \n#pragma ACCEL TILE FACTOR=auto{_p10}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 40; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p8}\n    \n#pragma ACCEL TILE FACTOR=auto{_p12}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (j = 0; j < 50; j++) {\n      tmp[i][j] = 0.0;\n      \n#pragma ACCEL PARALLEL reduction = tmp FACTOR=auto{_p4}\n      for (k = 0; k < 70; ++k) {\n        tmp[i][j] += alpha * A[i][k] * B[k][j];\n      }\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p7}\n  \n#pragma ACCEL TILE FACTOR=auto{_p11}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 40; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (j = 0; j < 80; j++) {\n      D[i][j] *= beta;\n      \n#pragma ACCEL PARALLEL reduction = D FACTOR=auto{_p5}\n      for (k = 0; k < 50; ++k) {\n        D[i][j] += tmp[i][k] * C[k][j];\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:20\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:10.9\nr0:0.0 r1:1.8 r2:0.7 r3:1.6 V:0\nTY:11.3\nTV:0\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:70\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[200][240],double ey[200][240],double hz[200][240],double _fict_[100])\n{\n  int t;\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 100; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 240; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 0; j < 240; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (i = 0; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n      for (j = 1; j < 240; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 200 - 1; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 240 - 1; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n}\n ```\nX:\n_p0:20\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:f\n_p9:o\n_p10:o\n_p11:o\n_p12:2\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:4\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-0.3\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:239\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:4\n_p8:o\n_p9:f\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.5 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:239\n_p8:o\n_p9:f\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-3.3\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:32\n_p8:o\n_p9:f\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:f\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:1\n_p7:239\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:2.2\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:16\n_p1:16\n_p2:199\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:3\n_p6:1\n_p7:4\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:16\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:16\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:c\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:0.7\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:32\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[200][240],double ey[200][240],double hz[200][240],double _fict_[100])\n{\n  int t;\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 100; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 240; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 0; j < 240; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (i = 0; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n      for (j = 1; j < 240; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 200 - 1; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 240 - 1; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:5\n_p6:1\n_p7:239\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.3\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:4\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.6 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:199\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:2.0\nr0:0.6 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.2\nr0:0.1 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:2.0\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:16\n_p2:199\n_p3:25\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:4\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.4\nr0:0.2 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:16\n_p8:o\n_p9:f\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:5\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:6\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:2.0\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.3\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:10\n_p1:16\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:239\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 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V:1\nX:\n_p0:1\n_p1:32\n_p2:4\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:8\n_p8:o\n_p9:f\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:199\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:8\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-0.2\nr0:0.2 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:20\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:2\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.0\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:1\n_p7:2\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.4\nr0:0.5 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:239\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:199\n_p3:32\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-0.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:239\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:6\n_p6:1\n_p7:4\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:20\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:199\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:5\n_p6:1\n_p7:2\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.2\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:32\n_p1:1\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:f\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.8\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:32\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.6 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.3\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:3\n_p6:1\n_p7:8\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.1 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:10\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-0.2\nr0:0.2 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:16\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.7\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:2\n_p8:o\n_p9:o\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:32\n_p8:o\n_p9:f\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:16\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:2\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.5 r1:0.9 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:16\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.5 r1:0.5 r2:0.2 r3:0.5 V:1\nTY:1.5\nTV:0\n", "outputs":"### outputs: _p0:1\n_p1:32\n_p2:1\n_p3:2\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:199\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[400],double x2[400],double y_1[400],double y_2[400],double A[400][400])\n{\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 400; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 400; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:20\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:6.7\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:4\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:6.9\nr0:0.2 r1:1.5 r2:0.8 r3:2.6 V:0\nX:\n_p0:10\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:8\n_p7:400\nY:7.0\nr0:0.4 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:2\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:6.6\nr0:0.3 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:8\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:7.1\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:20\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:4\n_p7:1\nY:6.4\nr0:0.4 r1:0.2 r2:0.2 r3:0.5 V:1\nX:\n_p0:10\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:2\n_p7:1\nY:5.7\nr0:0.4 r1:0.1 r2:0.1 r3:0.3 V:1\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:25\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:8.8\nr0:0.4 r1:0.5 r2:0.3 r3:0.8 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:10\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.4\nr0:0.2 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:4\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:400\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.2\nr0:0.5 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:20\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:4\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:5\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:1\nY:6.9\nr0:0.3 r1:0.1 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:5\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:6.8\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:8\n_p7:1\nY:5.8\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:2\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:3.9\nr0:0.2 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:2\n_p1:1\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:400\nY:7.2\nr0:0.6 r1:0.6 r2:0.4 r3:1.3 V:0\nX:\n_p0:16\n_p1:16\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:2\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:7.8\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:4\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:2\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:20\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:6.2\nr0:0.9 r1:0.7 r2:0.4 r3:1.3 V:0\nX:\n_p0:4\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:8\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:400\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:7.9\nr0:0.2 r1:1.6 r2:0.9 r3:2.6 V:0\nX:\n_p0:5\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:4\n_p7:1\nY:5.6\nr0:0.2 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:20\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:8\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:400\n_p7:1\nY:5.9\nr0:0.4 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:10\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:5\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:2\n_p7:1\nY:4.9\nr0:1.0 r1:1.5 r2:0.9 r3:3.2 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:5\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:3.3\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:5\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:4\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:8.0\nr0:0.2 r1:2.6 r2:1.6 r3:5.1 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:400\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.2 r1:0.6 r2:0.3 r3:0.6 V:1\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:25\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:8.4\nr0:0.2 r1:0.4 r2:0.3 r3:0.7 V:1\nX:\n_p0:16\n_p1:16\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:16\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:1\nY:7.0\nr0:0.3 r1:0.1 r2:0.1 r3:0.1 V:1\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:8\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:1\n_p7:1\nY:6.9\nr0:0.3 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:400\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:10\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:1\n_p7:400\nY:7.1\nr0:0.4 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:20\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:10\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:400\nY:7.1\nr0:0.4 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:5\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:8\n_p7:1\nY:5.6\nr0:0.5 r1:0.0 r2:0.0 r3:0.1 V:1\nX:\n_p0:32\n_p1:1\n_p2:16\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:1.0 r2:0.5 r3:0.9 V:0\nX:\n_p0:5\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:400\n_p7:1\nY:5.8\nr0:0.4 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:2\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:8\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:7.0\nTV:1\n", "outputs":"### outputs: _p0:32\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[200][240],double ey[200][240],double hz[200][240],double _fict_[100])\n{\n  int t;\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 100; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 240; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 0; j < 240; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (i = 0; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n      for (j = 1; j < 240; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 200 - 1; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 240 - 1; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:16\n_p2:199\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:2\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:10\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:2.2\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:32\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.5 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:8\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:32\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.1\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nTY:1.0\nTV:0\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_covariance(int m,int n,double float_n,double data[100][80],double cov[80][80],double mean[80])\n{\n  int i;\n  int j;\n  int k;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p6}\n  \n#pragma ACCEL TILE FACTOR=auto{_p10}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (j = 0; j < 80; j++) {\n    mean[j] = 0.0;\n    \n#pragma ACCEL PARALLEL reduction=mean FACTOR=auto{_p3}\n    for (i = 0; i < 100; i++) {\n      mean[j] += data[i][j];\n    }\n    mean[j] /= float_n;\n  }\n  \n#pragma ACCEL PIPELINE auto{_p7}\n  \n#pragma ACCEL TILE FACTOR=auto{_p11}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 100; i++) {\n    \n#pragma ACCEL PARALLEL reduction=data FACTOR=auto{_p4}\n    for (j = 0; j < 80; j++) {\n      data[i][j] -= mean[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    for (j = i; j < 80; j++) {\n      cov[i][j] = 0.0;\n      \n#pragma ACCEL PARALLEL reduction=cov FACTOR=auto{_p5}\n      for (k = 0; k < 100; k++) {\n        cov[i][j] += data[k][i] * data[k][j];\n      }\n      cov[i][j] /= float_n - 1.0;\n      cov[j][i] = cov[i][j];\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:8\n_p12:1\nY:2.9\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:1\n_p4:4\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.6\nr0:0.0 r1:0.5 r2:0.2 r3:0.2 V:1\nX:\n_p0:8\n_p1:10\n_p2:1\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:2\n_p11:1\n_p12:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:25\n_p6:f\n_p7:f\n_p8:o\n_p9:c\n_p10:1\n_p11:2\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:32\n_p6:o\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:10\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:8\n_p3:32\n_p4:1\n_p5:16\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:32\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:8\n_p12:1\nY:3.3\nr0:0.0 r1:0.3 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:5\n_p6:f\n_p7:o\n_p8:c\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:2\n_p2:32\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.6\nr0:0.0 r1:0.5 r2:0.2 r3:0.1 V:1\nX:\n_p0:4\n_p1:2\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:8\n_p12:1\nY:3.6\nr0:0.0 r1:0.6 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:2\n_p6:f\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:5\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.2\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:16\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.4\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:10\n_p2:32\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.6\nr0:0.0 r1:0.5 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:4\n_p2:32\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:80\n_p11:1\n_p12:1\nY:4.6\nr0:0.0 r1:0.5 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:25\n_p6:f\n_p7:o\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:10\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:1\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:1.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:8\n_p12:1\nY:1.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.2\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:1\n_p4:32\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:100\n_p6:o\n_p7:o\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:8\n_p12:1\nY:3.3\nr0:0.1 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:8\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.1\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:2\n_p1:1\n_p2:10\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:100\n_p12:8\nY:4.3\nr0:0.0 r1:0.4 r2:0.2 r3:0.2 V:1\nX:\n_p0:8\n_p1:2\n_p2:10\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:c\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:10\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:80\n_p11:1\n_p12:8\nY:4.3\nr0:0.0 r1:0.4 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:100\n_p6:f\n_p7:o\n_p8:c\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:4\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:8\n_p11:1\n_p12:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:4\n_p2:1\n_p3:32\n_p4:1\n_p5:1\n_p6:c\n_p7:f\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:32\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:5\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.2\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\nY:7.1\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:10\n_p6:o\n_p7:o\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:2\n_p12:1\nY:3.3\nr0:0.0 r1:0.3 r2:0.2 r3:0.1 V:1\nX:\n_p0:8\n_p1:2\n_p2:1\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:2\n_p12:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\nY:7.3\nr0:0.0 r1:0.4 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:2\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:2.3\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.4\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:4\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:25\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:80\n_p11:100\n_p12:4\nY:4.3\nr0:0.0 r1:0.4 r2:0.2 r3:0.2 V:1\nX:\n_p0:8\n_p1:2\n_p2:1\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:80\nY:4.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.3\nr0:0.0 r1:0.3 r2:0.1 r3:0.2 V:1\nTY:2.4\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:2\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[400],double x2[400],double y_1[400],double y_2[400],double A[400][400])\n{\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 400; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 400; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n}\n ```\nX:\n_p0:25\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.1\nr0:0.3 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:2\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:2\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:7.2\nr0:0.4 r1:0.3 r2:0.2 r3:0.7 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:5\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:6.8\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.1\nr0:0.5 r1:0.1 r2:0.1 r3:0.1 V:1\nX:\n_p0:8\n_p1:16\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:4\n_p7:1\nY:5.9\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:25\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:1\nY:7.1\nr0:0.3 r1:0.4 r2:0.3 r3:0.2 V:1\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:10\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:5.9\nr0:0.2 r1:0.4 r2:0.2 r3:0.7 V:1\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:5.0\nr0:1.1 r1:1.5 r2:1.0 r3:3.2 V:0\nX:\n_p0:16\n_p1:16\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:4\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:2\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:400\nY:7.2\nr0:0.3 r1:2.6 r2:1.5 r3:5.1 V:0\nX:\n_p0:1\n_p1:400\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:10\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.6\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:4.1\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:2\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:1\nY:1.1\nr0:0.5 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:4.3\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:16\n_p1:1\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:4\n_p7:1\nY:6.6\nr0:0.0 r1:0.6 r2:0.3 r3:0.7 V:1\nX:\n_p0:5\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:1\nY:5.6\nr0:0.2 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:2\n_p2:5\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:4.4\nr0:0.4 r1:0.6 r2:0.4 r3:1.3 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V:1\nX:\n_p0:1\n_p1:2\n_p2:400\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.9\nr0:0.2 r1:0.9 r2:0.5 r3:1.3 V:0\nX:\n_p0:1\n_p1:4\n_p2:25\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:4.8\nr0:1.0 r1:1.2 r2:0.7 r3:2.6 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:8\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:6.7\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:10\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:3.4\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:16\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:7.0\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:10\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:5\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:1\nY:5.1\nr0:0.2 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:20\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:2\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:3.5\nr0:0.2 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:5\n_p2:8\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:4.5\nr0:1.0 r1:1.5 r2:0.9 r3:3.2 V:0\nX:\n_p0:2\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:2\n_p7:400\nY:1.1\nr0:0.5 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:25\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:3.5\nr0:0.3 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:400\n_p7:1\nY:6.0\nr0:0.2 r1:3.2 r2:2.0 r3:6.4 V:0\nX:\n_p0:1\n_p1:2\n_p2:5\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:4.3\nr0:0.4 r1:0.6 r2:0.4 r3:1.3 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:3.2\nr0:0.3 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:10\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.8\nr0:0.2 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:32\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:1\nY:7.0\nr0:0.3 r1:0.4 r2:0.2 r3:0.3 V:1\nX:\n_p0:8\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:7.2\nr0:0.3 r1:2.5 r2:1.5 r3:5.2 V:0\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:16\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.9\nr0:0.0 r1:0.6 r2:0.3 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:6.0\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:8\n_p1:16\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:4\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:10\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:5.9\nr0:0.3 r1:3.3 r2:2.0 r3:6.6 V:0\nX:\n_p0:5\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:2\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:32\n_p1:16\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:25\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:3.2\nr0:0.2 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:5.3\nr0:0.5 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.1\nr0:0.1 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:2\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:10\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:2\n_p7:1\nY:5.9\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:5\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:8\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:5\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:3.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:4\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:25\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:5.1\nr0:0.3 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:8\n_p7:400\nY:6.3\nr0:0.4 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:6.1\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:4\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:7.2\nr0:1.0 r1:1.2 r2:0.7 r3:2.6 V:0\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:2\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:6.6\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:16\n_p1:16\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.1\nr0:0.5 r1:0.1 r2:0.1 r3:0.1 V:1\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.0\nr0:0.3 r1:0.1 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:8\n_p7:1\nY:6.8\nr0:0.5 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.0\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:10\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:1\n_p7:400\nY:7.1\nr0:0.4 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:4\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:4.8\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nTY:7.3\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:4\n_p2:1\n_p3:20\n_p4:f\n_p5:o\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[60][80],double ey[60][80],double hz[60][80],double _fict_[40])\n{\n  int t;\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 40; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 60; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 60; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 1; j < 80; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n    for (i = 0; i < 59; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 79; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:79\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.5\nr0:0.0 r1:0.6 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:3\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:8\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.7\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:32\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.1 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:1\n_p8:o\n_p9:f\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:79\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:2.7\nr0:0.1 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:2\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:32\n_p4:1\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.7\nr0:0.0 r1:0.4 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:79\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.6\nr0:0.0 r1:1.3 r2:0.7 r3:0.9 V:0\nX:\n_p0:1\n_p1:2\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.6\nr0:0.0 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:8\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:f\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:8.1\nr0:0.0 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:79\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:59\n_p14:60\n_p15:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:1\n_p6:4\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.5\nr0:0.0 r1:1.3 r2:0.7 r3:0.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:8\nY:3.0\nr0:0.1 r1:0.8 r2:0.4 r3:0.7 V:1\nX:\n_p0:1\n_p1:16\n_p2:4\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:8\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:59\n_p14:60\n_p15:8\nY:3.5\nr0:0.0 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:10\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:60\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:4\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:59\n_p14:2\n_p15:59\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:79\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.5\nr0:0.0 r1:1.3 r2:0.7 r3:0.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:59\n_p3:16\n_p4:30\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:8\nY:3.2\nr0:0.0 r1:0.8 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:79\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:2.9\nr0:0.0 r1:0.5 r2:0.2 r3:0.4 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.7\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.7\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:7.9\nr0:0.0 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:8\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.0 r1:0.2 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:f\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:c\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:59\n_p14:60\n_p15:59\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.1\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:16\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:59\n_p14:60\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:6.7\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:4\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:59\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[60][80],double ey[60][80],double hz[60][80],double _fict_[40])\n{\n  int t;\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 40; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 60; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 60; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 1; j < 80; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n    for (i = 0; i < 59; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 79; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:4\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:60\n_p15:59\nY:6.7\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:4\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.1\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:59\n_p14:60\n_p15:1\nY:7.9\nr0:0.0 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:79\n_p8:o\n_p9:f\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:9.3\nr0:0.0 r1:0.4 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:1\nX:\n_p0:8\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:40\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:59\n_p14:60\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:59\n_p3:16\n_p4:5\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:8\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:4\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:6.6\nr0:0.0 r1:0.8 r2:0.4 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:79\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:8\nY:3.0\nr0:0.1 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.5\nr0:0.0 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:f\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:9.3\nr0:0.0 r1:0.4 r2:0.2 r3:0.2 V:1\nTY:6.6\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:4\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[400],double x2[400],double y_1[400],double y_2[400],double A[400][400])\n{\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 400; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 400; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:20\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:2\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:6.9\nr0:0.2 r1:0.9 r2:0.5 r3:1.3 V:0\nTY:7.1\nTV:1\n", "outputs":"### outputs: _p0:32\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:400\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[60][80],double ey[60][80],double hz[60][80],double _fict_[40])\n{\n  int t;\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 40; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 60; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 60; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 1; j < 80; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n    for (i = 0; i < 59; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 79; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:16\n_p2:16\n_p3:1\n_p4:2\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:8.1\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:79\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.5\nr0:0.0 r1:0.6 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:16\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.0\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:79\n_p8:o\n_p9:f\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:4\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:59\nY:6.7\nr0:0.0 r1:0.7 r2:0.3 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.1 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:59\nY:4.7\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:32\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:16\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:8.6\nr0:0.0 r1:0.4 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:59\n_p3:16\n_p4:12\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.1\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 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V:1\nX:\n_p0:1\n_p1:1\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:8\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.5\nr0:0.0 r1:2.4 r2:1.3 r3:1.8 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.7\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:79\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.5\nr0:0.0 r1:0.6 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:2\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:2\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:79\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.5\nr0:0.0 r1:0.6 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.5\nr0:0.0 r1:0.6 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:79\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:8.1\nr0:0.0 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:4\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.0 r1:0.2 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.6\nr0:0.0 r1:0.6 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:79\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:2.9\nr0:0.0 r1:0.5 r2:0.2 r3:0.4 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:2.9\nr0:0.0 r1:0.5 r2:0.2 r3:0.4 V:1\nTY:8.8\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:59\n_p14:60\n_p15:59\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_trmm(double alpha,double A[60][60],double B[60][80])\n{\n//BLAS parameters\n//SIDE   = 'L'\n//UPLO   = 'L'\n//TRANSA = 'T'\n//DIAG   = 'U'\n// => Form  B := alpha*A**T*B.\n// A is MxM\n// B is MxN\n  \n#pragma ACCEL PIPELINE auto{_p3}\n  \n#pragma ACCEL TILE FACTOR=auto{_p5}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (int i = 0; i < 60; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p4}\n    \n#pragma ACCEL TILE FACTOR=auto{_p6}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (int j = 0; j < 80; j++) {\n      double sum = B[i][j];\n#pragma ACCEL PARALLEL reduction=sum FACTOR=auto{_p2}\n      for (int k = 0; k < 60; k++) {\n        if (k > i) {\n          sum += A[k][i] * B[k][j];\n        }\n      }\n      B[i][j] = alpha * sum;\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:4\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:10\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:10\n_p3:c\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:20\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:8.6\nr0:0 r1:1.2 r2:0.7 r3:1.9 V:0\nX:\n_p0:1\n_p1:16\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:8.7\nr0:0.0 r1:0.9 r2:0.6 r3:1.5 V:0\nX:\n_p0:3\n_p1:16\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.8\nr0:0.0 r1:2.4 r2:10.5 r3:4.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:16\n_p1:1\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:8.6\nr0:0 r1:1.2 r2:0.7 r3:1.9 V:0\nX:\n_p0:3\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.8\nr0:0.0 r1:1.2 r2:5.3 r3:2.3 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:6\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.1\nr0:0 r1:2.3 r2:11.0 r3:4.4 V:0\nX:\n_p0:2\n_p1:2\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.5\nr0:0.0 r1:0.4 r2:2.5 r3:0.4 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.4 V:1\nX:\n_p0:3\n_p1:1\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:3.9\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:8\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:30\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:5.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:16\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:8.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.4 V:1\nX:\n_p0:1\n_p1:20\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:80\nY:10.1\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:5.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:10\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:8\nY:8.5\nr0:0 r1:0.6 r2:0.3 r3:1.0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:4.2\nr0:0.0 r1:0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:8\nY:8.5\nr0:0 r1:0.6 r2:0.3 r3:1.0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:c\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:80\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:80\n_p2:30\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:20\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.7\nr0:0.0 r1:0.5 r2:0.3 r3:0.8 V:1\nX:\n_p0:1\n_p1:16\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:8\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:8\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.5\nr0:0 r1:0.6 r2:0.3 r3:1.0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:4.8\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:2\n_p2:60\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:10\n_p2:32\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:15\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:16\n_p3:o\n_p4:c\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:60\n_p3:c\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:30\n_p3:o\n_p4:c\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:30\n_p3:o\n_p4:o\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:4\nY:8.6\nr0:0 r1:1.2 r2:0.7 r3:1.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:4.5\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:3\n_p1:2\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.3\nr0:0.0 r1:0.4 r2:4.7 r3:0.6 V:0\nX:\n_p0:2\n_p1:4\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.1\nr0:0.0 r1:0.5 r2:2.6 r3:0.8 V:0\nX:\n_p0:1\n_p1:5\n_p2:6\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:5\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:9.8\nr0:0.0 r1:0.6 r2:1.8 r3:1.0 V:0\nX:\n_p0:1\n_p1:32\n_p2:30\n_p3:o\n_p4:c\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:4\nY:8.6\nr0:0 r1:1.2 r2:0.7 r3:1.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:c\n_p5:60\n_p6:1\nY:10.1\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:4.9\nr0:0.1 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:5\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:8.2\nr0:0.0 r1:0.3 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:4.3\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:o\n_p4:c\n_p5:1\n_p6:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:60\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:8.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.4 V:1\nX:\n_p0:16\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:3.9\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:20\n_p2:10\n_p3:o\n_p4:c\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:4.2\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:8.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.4 V:1\nX:\n_p0:4\n_p1:5\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:9.8\nr0:0.0 r1:1.0 r2:4.6 r3:1.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:4.9\nr0:0.1 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:3\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.4\nr0:0.0 r1:1.5 r2:6.6 r3:2.8 V:0\nX:\n_p0:10\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.9\nr0:0 r1:3.6 r2:16.1 r3:7.1 V:0\nX:\n_p0:5\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.7\nr0:0.0 r1:1.9 r2:9.4 r3:3.7 V:0\nTY:3.9\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:80\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[120], double x2[120], double y_1[120], double y_2[120], double A[120][120])\n{\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 120; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 120; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:8\n_p1:1\n_p2:8\n_p3:10\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:9.3\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:3\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.1\nr0:0.0 r1:0.0 r2:0 r3:0.0 V:1\nX:\n_p0:2\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:4\n_p7:1\nY:9.3\nr0:0.0 r1:0.1 r2:0.1 r3:0.1 V:1\nX:\n_p0:30\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:2\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:1\n_p7:2\nY:3.7\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.0\nr0:0.1 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:2\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.3\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:20\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:9.2\nr0:0.2 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:15\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.6\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:4\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:10.6\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:1\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:16\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:9.3\nr0:0.0 r1:0.5 r2:0.2 r3:0.8 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:3\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.3\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:2\n_p1:2\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:8\n_p7:8\nY:10.3\nr0:0.0 r1:0.6 r2:0.3 r3:0.8 V:1\nX:\n_p0:1\n_p1:10\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:120\n_p7:1\nY:8.4\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:1\n_p2:32\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:9.2\nTV:1\n", "outputs":"### outputs: _p0:4\n_p1:1\n_p2:8\n_p3:15\n_p4:o\n_p5:c\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[60][80],double ey[60][80],double hz[60][80],double _fict_[40])\n{\n  int t;\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 40; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 60; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 60; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 1; j < 80; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n    for (i = 0; i < 59; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 79; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:32\n_p1:1\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:32\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.1 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:8\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.6\nr0:0.0 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:32\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:79\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.5\nr0:0.0 r1:0.6 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.6\nr0:0.0 r1:0.4 r2:0.2 r3:0.3 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:8.8\nr0:0.0 r1:0.4 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:59\n_p14:60\n_p15:1\nY:3.8\nr0:0.0 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:32\n_p3:1\n_p4:2\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.5\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:20\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:60\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:8\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.5\nr0:0.0 r1:2.4 r2:1.3 r3:1.8 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:79\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:2.9\nr0:0.0 r1:0.5 r2:0.2 r3:0.4 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:79\n_p8:o\n_p9:f\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:8.1\nr0:0.0 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:2\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:7.9\nr0:0.0 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:2.9\nr0:0.0 r1:0.5 r2:0.2 r3:0.4 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:79\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.6\nr0:0.0 r1:0.6 r2:0.4 r3:0.5 V:1\nX:\n_p0:20\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:59\n_p14:60\n_p15:59\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:59\n_p14:60\n_p15:8\nY:3.5\nr0:0.0 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:8\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.6\nr0:0.0 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:12\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.6\nr0:0.0 r1:0.6 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.7\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.1\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:8\n_p8:o\n_p9:f\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:59\n_p3:16\n_p4:16\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.0\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:c\n_p9:o\n_p10:f\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:4\n_p3:1\n_p4:2\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.0 r1:0.8 r2:0.5 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:8\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:79\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.5\nr0:0.0 r1:1.3 r2:0.7 r3:0.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:16\n_p8:o\n_p9:f\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:8\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.7\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:2\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:4\n_p1:16\n_p2:1\n_p3:1\n_p4:2\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:8.7\nr0:0.0 r1:0.4 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:10\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:59\nY:4.7\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:16\n_p1:16\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:59\n_p14:60\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:79\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:8.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:4\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.6\nr0:0.0 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:79\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.5\nr0:0.0 r1:0.6 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:16\n_p4:1\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:8.5\nr0:0.0 r1:0.4 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:2\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.1\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:4\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.5\nr0:0.0 r1:1.3 r2:0.7 r3:0.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:79\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.5\nr0:0.0 r1:0.6 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:2\n_p1:16\n_p2:1\n_p3:1\n_p4:2\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:40\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:60\n_p15:59\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:2\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:59\n_p14:1\n_p15:8\nY:3.5\nr0:0.0 r1:1.0 r2:0.5 r3:0.8 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:60\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:8\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.5\nr0:0.0 r1:0.7 r2:0.4 r3:0.5 V:1\nTY:4.7\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:79\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_syr2k(double alpha,double beta,double C[80][80],double A[80][60],double B[80][60])\n{\n  int i;\n  int j;\n  int k;\n//BLAS PARAMS\n//UPLO  = 'L'\n//TRANS = 'N'\n//A is NxM\n//B is NxM\n//C is NxN\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      if (j <= i) {\n        C[i][j] *= beta;\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p5}\n    \n#pragma ACCEL TILE FACTOR=auto{_p7}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (k = 0; k < 60; k++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        if (j <= i) {\n          C[i][j] += A[j][k] * alpha * B[i][k] + B[j][k] * alpha * A[i][k];\n        }\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:8\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:2.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:8\n_p2:6\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:5\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.5\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.1 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:20\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:10\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:4\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.8\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.4\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:6.2\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.4\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.2\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:6\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:5\n_p1:1\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:6\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:3\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:2\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:3\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:2.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:8\n_p2:3\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:4\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:5\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:5\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.3\nr0:0.0 r1:0.0 r2:0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:15\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:2\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.9\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nTY:6.5\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:6\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:8\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[120], double x2[120], double y_1[120], double y_2[120], double A[120][120])\n{\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 120; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 120; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:12\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:6.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:5\n_p2:32\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:8\nY:7.6\nr0:0.0 r1:0.5 r2:0.3 r3:1.0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:5\n_p4:c\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:16\n_p2:24\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:10.8\nr0:0.0 r1:1.7 r2:1.0 r3:3.1 V:0\nX:\n_p0:4\n_p1:32\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:15\n_p2:1\n_p3:2\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:8.3\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:12\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:10.2\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:8\n_p1:12\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:4\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:120\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:3\n_p2:24\n_p3:1\n_p4:c\n_p5:f\n_p6:120\n_p7:1\nY:8.2\nr0:0.0 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:4\n_p2:2\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.5 r2:0.2 r3:0.8 V:1\nX:\n_p0:1\n_p1:20\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:120\n_p7:2\nY:8.5\nr0:0.1 r1:0.1 r2:0.1 r3:0.3 V:1\nX:\n_p0:1\n_p1:15\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.6\nr0:0.1 r1:1.4 r2:0.8 r3:2.9 V:0\nX:\n_p0:2\n_p1:24\n_p2:1\n_p3:20\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:11.2\nr0:0.0 r1:0.3 r2:0.2 r3:0.4 V:1\nX:\n_p0:1\n_p1:8\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:120\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:6\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:1\n_p2:12\n_p3:12\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:8.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:12\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:9.0\nr0:0.2 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:4\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:120\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:1\n_p2:8\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.8\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:24\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:9.7\nr0:0.0 r1:0.5 r2:0.2 r3:0.8 V:1\nX:\n_p0:4\n_p1:2\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:2\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:12\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:120\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:30\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:1\n_p2:10\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.5\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:24\n_p3:5\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:8.4\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:20\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:9.6\nr0:0.0 r1:1.9 r2:1.2 r3:3.9 V:0\nX:\n_p0:1\n_p1:16\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:120\n_p7:1\nY:9.3\nr0:0.1 r1:1.6 r2:1.0 r3:3.1 V:0\nX:\n_p0:1\n_p1:4\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:120\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:12\n_p2:1\n_p3:30\n_p4:f\n_p5:c\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:24\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:2\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:0\nX:\n_p0:32\n_p1:1\n_p2:16\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:24\n_p3:1\n_p4:c\n_p5:f\n_p6:120\n_p7:1\nY:9.6\nr0:0.0 r1:1.9 r2:1.1 r3:3.9 V:0\nX:\n_p0:8\n_p1:10\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:1\n_p2:10\n_p3:12\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.3\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:4\n_p1:24\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:16\n_p2:24\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:10.7\nr0:0.0 r1:2.0 r2:1.3 r3:3.3 V:0\nX:\n_p0:4\n_p1:2\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:4\n_p7:1\nY:11.0\nr0:0.0 r1:0.7 r2:0.4 r3:1.2 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:5\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:10.6\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:8\n_p1:4\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:8\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:2\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:1\n_p2:8\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:5\n_p1:1\n_p2:1\n_p3:120\n_p4:f\n_p5:c\n_p6:1\n_p7:120\nY:11.2\nr0:0.1 r1:0.8 r2:0.4 r3:1.0 V:0\nX:\n_p0:1\n_p1:15\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:2\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:2\nY:10.6\nr0:0.1 r1:1.7 r2:1.0 r3:3.3 V:0\nX:\n_p0:1\n_p1:8\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:120\n_p7:1\nY:9.0\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:15\n_p2:1\n_p3:15\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:8.4\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:2\n_p1:1\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:4\n_p7:120\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:3\n_p2:32\n_p3:1\n_p4:c\n_p5:f\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:10\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:8\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:24\n_p2:1\n_p3:20\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:11.2\nr0:0.0 r1:0.5 r2:0.4 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:24\n_p3:1\n_p4:c\n_p5:f\n_p6:120\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:8\n_p3:15\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:9.6\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:15\n_p2:1\n_p3:3\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:8.2\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:4\n_p1:1\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:20\n_p4:f\n_p5:c\n_p6:120\n_p7:120\nY:9.9\nr0:0.2 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:12\n_p2:1\n_p3:2\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:9.8\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:4\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:8\n_p7:1\nY:11.1\nr0:0.0 r1:0.8 r2:0.5 r3:1.5 V:0\nX:\n_p0:4\n_p1:1\n_p2:12\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:2\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:2\n_p7:1\nY:8.6\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:8\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:2\n_p7:1\nY:8.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.9\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:6\n_p1:1\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:10\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:8.5\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:3\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:8.4\nr0:0.1 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:12\n_p1:1\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:6\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:10\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:3\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:2\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:3\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:8.4\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:6.4\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:2\n_p1:10\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:4\n_p7:8\nY:8.6\nr0:0.0 r1:1.1 r2:0.7 r3:2.1 V:0\nTY:11.0\nTV:1\n", "outputs":"### outputs: _p0:2\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:8\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_syr2k(double alpha,double beta,double C[80][80],double A[80][60],double B[80][60])\n{\n  int i;\n  int j;\n  int k;\n//BLAS PARAMS\n//UPLO  = 'L'\n//TRANS = 'N'\n//A is NxM\n//B is NxM\n//C is NxN\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      if (j <= i) {\n        C[i][j] *= beta;\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p5}\n    \n#pragma ACCEL TILE FACTOR=auto{_p7}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (k = 0; k < 60; k++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        if (j <= i) {\n          C[i][j] += A[j][k] * alpha * B[i][k] + B[j][k] * alpha * A[i][k];\n        }\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:2\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.3\nr0:0.0 r1:0.0 r2:0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:2.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:5.7\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.4\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:4\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:80\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:0\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:4\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:6.0\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.2\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:5\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.2\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.4\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:8\nY:5.7\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:5.1\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:8\nY:6.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.2\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:8\nY:6.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:16\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:6\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:2\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:1\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:6.4\nr0:0.0 r1:0.3 r2:0.2 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.1 r1:0.2 r2:0.1 r3:0.0 V:1\nTY:7.1\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:2\n_p2:1\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_syr2k(double alpha,double beta,double C[80][80],double A[80][60],double B[80][60])\n{\n  int i;\n  int j;\n  int k;\n//BLAS PARAMS\n//UPLO  = 'L'\n//TRANS = 'N'\n//A is NxM\n//B is NxM\n//C is NxN\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      if (j <= i) {\n        C[i][j] *= beta;\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p5}\n    \n#pragma ACCEL TILE FACTOR=auto{_p7}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (k = 0; k < 60; k++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        if (j <= i) {\n          C[i][j] += A[j][k] * alpha * B[i][k] + B[j][k] * alpha * A[i][k];\n        }\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:4\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:3\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:4\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.2\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:6.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 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V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:2\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:2\n_p2:4\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:4\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.8\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.7\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:4.3\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:8\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.3\nr0:0.0 r1:0.0 r2:0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:1\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.1 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:6\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:5\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:3.7\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:8\nY:6.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:6\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:2\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:6.5\nr0:0.0 r1:0.3 r2:0.5 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:4\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:8\nY:5.7\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nTY:6.4\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:12\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_syr2k(double alpha,double beta,double C[80][80],double A[80][60],double B[80][60])\n{\n  int i;\n  int j;\n  int k;\n//BLAS PARAMS\n//UPLO  = 'L'\n//TRANS = 'N'\n//A is NxM\n//B is NxM\n//C is NxN\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      if (j <= i) {\n        C[i][j] *= beta;\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p5}\n    \n#pragma ACCEL TILE FACTOR=auto{_p7}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (k = 0; k < 60; k++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        if (j <= i) {\n          C[i][j] += A[j][k] * alpha * B[i][k] + B[j][k] * alpha * A[i][k];\n        }\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:30\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:4\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:2\n_p2:6\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:10\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 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r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:5\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.1 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.7\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.2\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.3\nr0:0.0 r1:0.0 r2:0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:3\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:30\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:5\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.1 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:4\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nTY:7.5\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:2\n_p2:8\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[60][80],double ey[60][80],double hz[60][80],double _fict_[40])\n{\n  int t;\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 40; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 60; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 60; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 1; j < 80; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n    for (i = 0; i < 59; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 79; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:79\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:8.1\nr0:0.0 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:16\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:8.6\nr0:0.0 r1:0.4 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:60\n_p15:8\nY:3.5\nr0:0.0 r1:2.4 r2:1.2 r3:2.6 V:0\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:10\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:4\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:8\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.7\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:4\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:6.6\nr0:0.0 r1:0.8 r2:0.4 r3:0.6 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:4\n_p5:1\n_p6:1\n_p7:1\n_p8:c\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:59\n_p14:1\n_p15:59\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:f\n_p9:o\n_p10:o\n_p11:o\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:79\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.6\nr0:0.0 r1:1.3 r2:0.7 r3:0.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:79\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.6\nr0:0.0 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.7\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 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V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:59\n_p3:16\n_p4:60\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:79\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.5\nr0:0.0 r1:0.6 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:79\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:8\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:8\nY:3.0\nr0:0.1 r1:0.8 r2:0.4 r3:0.7 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:79\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:16\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:60\n_p15:59\nY:6.7\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:8\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.5\nr0:0.0 r1:2.4 r2:1.3 r3:1.8 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:79\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.5\nr0:0.0 r1:1.3 r2:0.7 r3:0.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:16\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.1 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.5\nr0:0.0 r1:0.6 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.7\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:32\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.0\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:8\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.6\nr0:0.0 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.8\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:30\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:79\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:4\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:4\n_p15:59\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:79\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:2.7\nr0:0.1 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:16\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.0\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:10\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:60\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.6\nr0:0.0 r1:0.6 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:1\n_p6:4\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.5\nr0:0.0 r1:1.3 r2:0.7 r3:0.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:8\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.6\nr0:0.0 r1:0.6 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:16\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:2\n_p14:60\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:40\n_p1:16\n_p2:1\n_p3:1\n_p4:2\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:59\n_p14:60\n_p15:1\nY:3.8\nr0:0.0 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:32\n_p4:1\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.7\nr0:0.0 r1:0.4 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nTY:1.5\nTV:0\n", "outputs":"### outputs: _p0:1\n_p1:16\n_p2:8\n_p3:1\n_p4:2\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_trmm(double alpha,double A[60][60],double B[60][80])\n{\n//BLAS parameters\n//SIDE   = 'L'\n//UPLO   = 'L'\n//TRANSA = 'T'\n//DIAG   = 'U'\n// => Form  B := alpha*A**T*B.\n// A is MxM\n// B is MxN\n  \n#pragma ACCEL PIPELINE auto{_p3}\n  \n#pragma ACCEL TILE FACTOR=auto{_p5}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (int i = 0; i < 60; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p4}\n    \n#pragma ACCEL TILE FACTOR=auto{_p6}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (int j = 0; j < 80; j++) {\n      \n#pragma ACCEL PARALLEL reduction=B FACTOR=auto{_p2}\n      for (int k = 0; k < 60; k++) {\n        if (k > i) {\n          B[i][j] += A[k][i] * B[k][j];\n        }\n      }\n      B[i][j] = alpha * B[i][j];\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:2\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:2\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:12\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:3\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:80\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:32\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:5\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:2\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.2\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.2\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:2\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:2\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:8\n_p2:15\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:3\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:80\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:60\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:10\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:12\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:32\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:8\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:5\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:8\n_p6:1\nY:-\nr0:0 r1:0 r2:0 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r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:30\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:30\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:5\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:2\n_p1:4\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:30\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:80\n_p2:4\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.2\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:20\n_p2:5\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:2\n_p1:5\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.2\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nTY:1.3\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:80\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_2mm(int ni,int nj,int nk,int nl,double alpha,double beta,double tmp[40][50],double A[40][70],double B[70][50],double C[50][80],double D[40][80])\n{\n  int i;\n  int j;\n  int k;\n  \n#pragma ACCEL PIPELINE auto{_p6}\n  \n#pragma ACCEL TILE FACTOR=auto{_p10}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 40; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p8}\n    \n#pragma ACCEL TILE FACTOR=auto{_p12}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (j = 0; j < 50; j++) {\n      tmp[i][j] = 0.0;\n      \n#pragma ACCEL PARALLEL reduction = tmp FACTOR=auto{_p4}\n      for (k = 0; k < 70; ++k) {\n        tmp[i][j] += alpha * A[i][k] * B[k][j];\n      }\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p7}\n  \n#pragma ACCEL TILE FACTOR=auto{_p11}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 40; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (j = 0; j < 80; j++) {\n      D[i][j] *= beta;\n      \n#pragma ACCEL PARALLEL reduction = D FACTOR=auto{_p5}\n      for (k = 0; k < 50; ++k) {\n        D[i][j] += tmp[i][k] * C[k][j];\n      }\n    }\n  }\n}\n ```\nX:\n_p0:8\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.5\nr0:0.0 r1:2.9 r2:1.9 r3:6.5 V:0\nX:\n_p0:1\n_p1:10\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:2\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:16\n_p5:1\n_p6:o\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:2.8 r2:1.9 r3:6.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:10\n_p4:1\n_p5:10\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:1\n_p5:4\n_p6:f\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.7\nr0:0.0 r1:2.4 r2:1.6 r3:5.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:1\n_p5:25\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.6\nr0:0.0 r1:2.4 r2:1.6 r3:5.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:5\n_p4:70\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:10.3\nr0:0.0 r1:2.5 r2:1.6 r3:5.7 V:0\nX:\n_p0:1\n_p1:5\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:8\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:20\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:5.9 r2:3.5 r3:13.1 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:10\n_p4:70\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:9.1\nr0:0.0 r1:0.8 r2:0.6 r3:1.0 V:0\nX:\n_p0:1\n_p1:20\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:2\n_p11:2\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:2\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:5\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:4\n_p12:1\n_p13:1\nY:5.7\nr0:0.0 r1:1.5 r2:0.9 r3:3.3 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.0\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:20\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:2\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:16\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:2.8 r2:1.9 r3:6.5 V:0\nX:\n_p0:10\n_p1:8\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:4\nY:5.7\nr0:0.0 r1:0.4 r2:0.2 r3:0.8 V:1\nX:\n_p0:4\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:4\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:10\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:2\n_p12:1\n_p13:1\nY:5.7\nr0:0.0 r1:3.0 r2:1.8 r3:6.6 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:2\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.7\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:8\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 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r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:32\n_p4:70\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:2\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.9\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:2\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:5\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.3\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:32\n_p5:8\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.3\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:50\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.9\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:4\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:2\n_p12:1\n_p13:1\nY:3.7\nr0:0.0 r1:1.4 r2:1.4 r3:5.3 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:32\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:6.7\nr0:0.0 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:7\n_p5:2\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.9\nr0:0.0 r1:0.0 r2:0 r3:0.0 V:1\nX:\n_p0:32\n_p1:5\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:8\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:32\n_p5:25\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.6\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:c\n_p7:c\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:10\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:8\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:5\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:2\n_p1:2\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:c\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:8\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:70\n_p5:1\n_p6:o\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:9.3\nr0:0.0 r1:3.0 r2:2.1 r3:6.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.2\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:1\n_p5:4\n_p6:f\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:5.2\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[400],double x2[400],double y_1[400],double y_2[400],double A[400][400])\n{\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 400; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 400; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n}\n ```\nX:\n_p0:8\n_p1:16\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:1\nY:7.0\nr0:0.3 r1:0.1 r2:0.1 r3:0.1 V:1\nX:\n_p0:16\n_p1:1\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:2\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:2\n_p7:400\nY:6.3\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:5\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:8\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:7.9\nr0:0.0 r1:2.9 r2:1.7 r3:5.1 V:0\nX:\n_p0:25\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:16\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:4\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:8.0\nr0:0.2 r1:2.6 r2:1.6 r3:5.1 V:0\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:400\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:5\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.2 r1:0.4 r2:0.2 r3:0.7 V:1\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:5\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:4.8\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:10\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:4.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:16\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:1\nY:5.6\nr0:0.3 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:25\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:6.9\nr0:0.2 r1:1.5 r2:0.8 r3:2.6 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:400\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:7.9\nr0:0.2 r1:0.9 r2:0.5 r3:1.3 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:2\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:3.5\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:5.3\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:32\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:25\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.4\nr0:0.3 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:20\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:0\nX:\n_p0:25\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:8\n_p7:1\nY:5.9\nr0:0.4 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:4\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:3.9\nr0:0.3 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:5\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:32\n_p1:16\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.0\nr0:0.3 r1:0.4 r2:0.2 r3:0.3 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:5\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:5.6\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:16\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:1\n_p7:400\nY:7.1\nr0:0.5 r1:0.2 r2:0.2 r3:0.2 V:1\nTY:5.9\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[400],double x2[400],double y_1[400],double y_2[400],double A[400][400])\n{\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 400; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 400; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:1\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:5\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:400\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:6.1\nr0:0.9 r1:0.1 r2:0.0 r3:0.0 V:0\nX:\n_p0:2\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:7.2\nr0:0.6 r1:0.6 r2:0.4 r3:1.3 V:0\nX:\n_p0:8\n_p1:1\n_p2:16\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.9\nr0:0.0 r1:0.6 r2:0.3 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:3.5\nr0:0.2 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:400\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:16\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:1\nY:7.0\nr0:0.3 r1:0.1 r2:0.1 r3:0.1 V:1\nX:\n_p0:5\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:25\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:4.3\nr0:0.3 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:4\n_p7:1\nY:5.9\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:8\n_p7:400\nY:6.3\nr0:0.4 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:2\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:2\n_p7:8\nY:6.6\nr0:0.1 r1:0.9 r2:0.5 r3:1.3 V:0\nX:\n_p0:20\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:400\nY:7.1\nr0:0.4 r1:0.2 r2:0.2 r3:0.5 V:1\nX:\n_p0:20\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:5\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:1\nY:5.6\nr0:0.2 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:10\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.1\nr0:0.4 r1:0.1 r2:0.1 r3:0.1 V:1\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:4\n_p7:1\nY:5.9\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:4.3\nr0:0.2 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:2\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:4.5\nr0:0.1 r1:2.6 r2:1.5 r3:5.1 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:25\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:4.2\nr0:0.2 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:16\n_p1:16\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:2\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:400\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:6.4\nr0:0.2 r1:0.3 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.8\nr0:0.1 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.2\nr0:0.1 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:16\n_p1:16\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:10\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:8\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:5.3\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:5\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:5.8\nr0:0.2 r1:0.3 r2:0.2 r3:0.7 V:1\nX:\n_p0:2\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:3.1\nr0:1.0 r1:1.5 r2:0.9 r3:3.2 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:5\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:4.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:16\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.1\nr0:0.5 r1:0.1 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:400\n_p7:400\nY:7.9\nr0:0.2 r1:0.6 r2:0.3 r3:0.6 V:1\nX:\n_p0:5\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:4\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:5\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:4.3\nr0:1.0 r1:1.5 r2:0.9 r3:3.2 V:0\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:4\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:4.8\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:5\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.6\nr0:0.1 r1:0.0 r2:0 r3:0.0 V:1\nX:\n_p0:10\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:7.8\nr0:0.4 r1:0.5 r2:0.3 r3:0.8 V:1\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:400\n_p7:1\nY:6.0\nr0:0.2 r1:3.2 r2:2.0 r3:6.4 V:0\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:4\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:4\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:10\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:4.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:7.2\nr0:0.3 r1:2.5 r2:1.5 r3:5.2 V:0\nX:\n_p0:20\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:3.0\nr0:0.2 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:25\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.0\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:10\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.8\nr0:0.2 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:25\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:7.2\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:4\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:400\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.3\nr0:0.2 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:20\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:7.9\nr0:0.4 r1:0.4 r2:0.2 r3:0.6 V:1\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:5\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:10\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:8\n_p7:1\nY:6.4\nr0:0.4 r1:0.1 r2:0.1 r3:0.3 V:1\nX:\n_p0:2\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:4\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:10\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:5.3\nr0:0.8 r1:1.2 r2:0.7 r3:2.6 V:0\nX:\n_p0:4\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:16\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:7.0\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:400\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:5.7\nr0:0.2 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.4 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:4\nY:5.0\nr0:1.1 r1:1.8 r2:1.1 r3:3.8 V:0\nX:\n_p0:10\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:400\nY:7.1\nr0:0.4 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:4\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:400\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:32\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:5.0\nr0:1.1 r1:1.5 r2:1.0 r3:3.2 V:0\nTY:5.9\nTV:1\n", "outputs":"### outputs: _p0:16\n_p1:16\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[200][240],double ey[200][240],double hz[200][240],double _fict_[100])\n{\n  int t;\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 100; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 240; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 0; j < 240; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (i = 0; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n      for (j = 1; j < 240; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 200 - 1; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 240 - 1; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:8\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:239\n_p8:o\n_p9:f\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:5\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.5 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:8\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:2\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.8\nr0:0.5 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-0.1\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:2\n_p8:o\n_p9:f\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:239\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.5 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:25\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:8\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.3\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:8\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.2 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:1\n_p4:4\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:25\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:16\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.6 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:199\n_p3:10\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.3 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:32\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.6\nr0:0.5 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-3.3\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:8\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.3\nr0:0.6 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:8\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:8\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:8\n_p8:o\n_p9:f\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:3\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:5\n_p6:1\n_p7:8\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:10\n_p6:1\n_p7:4\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.4\nr0:0.5 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:100\n_p1:16\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:199\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:8\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:16\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:5\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:f\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:2\n_p8:o\n_p9:o\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.3\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:239\n_p8:o\n_p9:f\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.5\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:4\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.1\nr0:0.6 r1:0.9 r2:0.4 r3:0.7 V:0\nTY:-0.5\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_syr2k(double alpha,double beta,double C[80][80],double A[80][60],double B[80][60])\n{\n  int i;\n  int j;\n  int k;\n//BLAS PARAMS\n//UPLO  = 'L'\n//TRANS = 'N'\n//A is NxM\n//B is NxM\n//C is NxN\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      if (j <= i) {\n        C[i][j] *= beta;\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p5}\n    \n#pragma ACCEL TILE FACTOR=auto{_p7}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (k = 0; k < 60; k++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        if (j <= i) {\n          C[i][j] += A[j][k] * alpha * B[i][k] + B[j][k] * alpha * A[i][k];\n        }\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.4\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:4\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:2.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.3\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:30\n_p3:4\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:5.1\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:8\n_p2:5\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:2\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:10\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.2\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:8\nY:6.2\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:2\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:1\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:4\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.1 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.2\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.0\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:5.4\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:2.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:6.5\nr0:0.0 r1:0.3 r2:0.5 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:10\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:4\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.8\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:3\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:3\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:4.3\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:6.0\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:3\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.8\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:5\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:2.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:2\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:2\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.4\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:6\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:5.9\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:6\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.2\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:2\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:10\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:2\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.2\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:3\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:2\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:2\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:6.2\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:10\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.7\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:3\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:1\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:4\n_p2:6\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nTY:7.1\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:60\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_trmm(double alpha,double A[60][60],double B[60][80])\n{\n//BLAS parameters\n//SIDE   = 'L'\n//UPLO   = 'L'\n//TRANSA = 'T'\n//DIAG   = 'U'\n// => Form  B := alpha*A**T*B.\n// A is MxM\n// B is MxN\n  \n#pragma ACCEL PIPELINE auto{_p3}\n  \n#pragma ACCEL TILE FACTOR=auto{_p5}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (int i = 0; i < 60; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p4}\n    \n#pragma ACCEL TILE FACTOR=auto{_p6}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (int j = 0; j < 80; j++) {\n      \n#pragma ACCEL PARALLEL reduction=B FACTOR=auto{_p2}\n      for (int k = 0; k < 60; k++) {\n        if (k > i) {\n          B[i][j] += A[k][i] * B[k][j];\n        }\n      }\n      B[i][j] = alpha * B[i][j];\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:5\n_p2:6\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:5\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:32\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:1.3\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:o\n_p5:1\n_p6:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_2mm(int ni,int nj,int nk,int nl,double alpha,double beta,double tmp[40][50],double A[40][70],double B[70][50],double C[50][80],double D[40][80])\n{\n  int i;\n  int j;\n  int k;\n  \n#pragma ACCEL PIPELINE auto{_p6}\n  \n#pragma ACCEL TILE FACTOR=auto{_p10}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 40; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p8}\n    \n#pragma ACCEL TILE FACTOR=auto{_p12}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (j = 0; j < 50; j++) {\n      tmp[i][j] = 0.0;\n      \n#pragma ACCEL PARALLEL reduction = tmp FACTOR=auto{_p4}\n      for (k = 0; k < 70; ++k) {\n        tmp[i][j] += alpha * A[i][k] * B[k][j];\n      }\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p7}\n  \n#pragma ACCEL TILE FACTOR=auto{_p11}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 40; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (j = 0; j < 80; j++) {\n      D[i][j] *= beta;\n      \n#pragma ACCEL PARALLEL reduction = D FACTOR=auto{_p5}\n      for (k = 0; k < 50; ++k) {\n        D[i][j] += tmp[i][k] * C[k][j];\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:40\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:4\n_p12:50\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:5\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.9\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:4\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.0\nr0:0.0 r1:2.8 r2:1.9 r3:6.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:32\n_p5:8\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.3\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.0\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.9\nr0:0.0 r1:2.9 r2:1.9 r3:6.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:40\n_p11:8\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:14\n_p5:10\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.8\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.8\nr0:0.0 r1:2.5 r2:1.6 r3:5.7 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V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:4\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:c\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:16\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:10.9\nr0:0.0 r1:0.7 r2:0.4 r3:1.3 V:0\nX:\n_p0:1\n_p1:4\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:1.2 r2:0.7 r3:2.6 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:16\n_p4:16\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.9\nr0:0.0 r1:0.7 r2:0.4 r3:1.3 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:10\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.5\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:4\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.1\nr0:0.0 r1:0.0 r2:0 r3:0.0 V:1\nX:\n_p0:1\n_p1:10\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:8\n_p11:4\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:14\n_p5:32\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.4\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:20\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:2\n_p11:2\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.4\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:32\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.7\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:70\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:11.5\nr0:0.0 r1:2.6 r2:1.6 r3:5.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:20\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:10.9\nr0:0.0 r1:1.8 r2:0.7 r3:1.6 V:0\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:80\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:20\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:2\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:2.6\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:10\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:8\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:10\n_p4:70\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:9.1\nr0:0.0 r1:0.8 r2:0.6 r3:1.0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:32\n_p5:5\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:80\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:2\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.2 V:1\nX:\n_p0:1\n_p1:10\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:40\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:25\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:2.5 r2:1.6 r3:5.7 V:0\nX:\n_p0:1\n_p1:4\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:4\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.2\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.6\nr0:0.0 r1:2.9 r2:1.9 r3:6.5 V:0\nX:\n_p0:1\n_p1:4\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:4\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:4\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.1\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:8\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:8\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:32\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:32\n_p1:20\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:4\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.0\nr0:0.0 r1:0.2 r2:0.1 r3:0.3 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:c\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:2\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:14\n_p5:25\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.0\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:20\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:7\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:4\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:8\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.7\nr0:0.0 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.5\nr0:0.0 r1:2.9 r2:1.9 r3:6.5 V:0\nTY:4.9\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:25\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_covariance(int m,int n,double float_n,double data[100][80],double cov[80][80],double mean[80])\n{\n  int i;\n  int j;\n  int k;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p6}\n  \n#pragma ACCEL TILE FACTOR=auto{_p10}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (j = 0; j < 80; j++) {\n    mean[j] = 0.0;\n    \n#pragma ACCEL PARALLEL reduction=mean FACTOR=auto{_p3}\n    for (i = 0; i < 100; i++) {\n      mean[j] += data[i][j];\n    }\n    mean[j] /= float_n;\n  }\n  \n#pragma ACCEL PIPELINE auto{_p7}\n  \n#pragma ACCEL TILE FACTOR=auto{_p11}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 100; i++) {\n    \n#pragma ACCEL PARALLEL reduction=data FACTOR=auto{_p4}\n    for (j = 0; j < 80; j++) {\n      data[i][j] -= mean[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    for (j = i; j < 80; j++) {\n      cov[i][j] = 0.0;\n      \n#pragma ACCEL PARALLEL reduction=cov FACTOR=auto{_p5}\n      for (k = 0; k < 100; k++) {\n        cov[i][j] += data[k][i] * data[k][j];\n      }\n      cov[i][j] /= float_n - 1.0;\n      cov[j][i] = cov[i][j];\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:2\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:32\n_p6:o\n_p7:o\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:1.5\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:8\n_p1:20\n_p2:20\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:4\nY:4.3\nr0:0.0 r1:0.5 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:f\n_p7:f\n_p8:o\n_p9:c\n_p10:1\n_p11:2\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:4\n_p12:1\nY:1.4\nr0:0.0 r1:0.3 r2:0.3 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:4\n_p3:32\n_p4:1\n_p5:16\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:32\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:80\n_p11:1\n_p12:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:32\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:32\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:16\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\nY:8.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:5\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:2\n_p12:1\nY:3.2\nr0:0.1 r1:0.3 r2:0.2 r3:0.1 V:1\nX:\n_p0:4\n_p1:1\n_p2:32\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:4\n_p11:100\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:10\n_p2:1\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:4\n_p12:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:8\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:o\n_p7:f\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:2\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:2.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:2\n_p1:2\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:8\n_p12:1\nY:3.6\nr0:0.0 r1:0.4 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:4\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:2.9\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:8\n_p12:1\nY:3.3\nr0:0.1 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\nY:7.2\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:1\n_p5:5\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:2\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:c\n_p9:f\n_p10:1\n_p11:8\n_p12:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:2.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.1\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:8\n_p1:1\n_p2:10\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:8\n_p11:100\n_p12:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:32\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:5\n_p6:o\n_p7:o\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:25\n_p2:20\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:4\nY:4.3\nr0:0.0 r1:0.5 r2:0.2 r3:0.2 V:1\nTY:2.2\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:8\n_p12:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[60][80],double ey[60][80],double hz[60][80],double _fict_[40])\n{\n  int t;\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 40; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 60; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 60; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 1; j < 80; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n    for (i = 0; i < 59; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 79; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:16\n_p2:2\n_p3:1\n_p4:2\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.0 r1:0.5 r2:0.3 r3:0.4 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:59\n_p3:16\n_p4:6\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:8\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.7\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:4\n_p3:1\n_p4:2\n_p5:1\n_p6:1\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:59\nY:5.3\nr0:0.0 r1:0.9 r2:0.6 r3:0.6 V:0\nX:\n_p0:1\n_p1:16\n_p2:4\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:1\n_p8:o\n_p9:f\n_p10:f\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:16\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.0 r1:0.2 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:4\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:79\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:59\n_p14:60\n_p15:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:2\n_p5:1\n_p6:2\n_p7:1\n_p8:c\n_p9:o\n_p10:f\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:4\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:6.6\nr0:0.0 r1:0.8 r2:0.4 r3:0.6 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V:1\nX:\n_p0:4\n_p1:1\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.7\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.7\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:59\n_p14:60\n_p15:59\nY:8.8\nr0:0.0 r1:0.4 r2:0.2 r3:0.2 V:1\nTY:3.5\nTV:0\n", "outputs":"### outputs: _p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:2\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:59\n_p14:1\n_p15:8\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_trmm(double alpha,double A[60][60],double B[60][80])\n{\n//BLAS parameters\n//SIDE   = 'L'\n//UPLO   = 'L'\n//TRANSA = 'T'\n//DIAG   = 'U'\n// => Form  B := alpha*A**T*B.\n// A is MxM\n// B is MxN\n  \n#pragma ACCEL PIPELINE auto{_p3}\n  \n#pragma ACCEL TILE FACTOR=auto{_p5}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (int i = 0; i < 60; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p4}\n    \n#pragma ACCEL TILE FACTOR=auto{_p6}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (int j = 0; j < 80; j++) {\n      \n#pragma ACCEL PARALLEL reduction=B FACTOR=auto{_p2}\n      for (int k = 0; k < 60; k++) {\n        if (k > i) {\n          B[i][j] += A[k][i] * B[k][j];\n        }\n      }\n      B[i][j] = alpha * B[i][j];\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:5\n_p2:20\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:80\n_p2:2\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:6\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:8\n_p2:32\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:32\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:30\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:3\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:16\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:2\n_p1:5\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:10\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.2\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:10\n_p2:16\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:15\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:15\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:2\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:4\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:5\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:6\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:4\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:8\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:1\nX:\n_p0:12\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:5\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:12\n_p1:1\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:2\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:o\n_p4:o\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:16\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.2\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:1.2\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:80\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[400],double x2[400],double y_1[400],double y_2[400],double A[400][400])\n{\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 400; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 400; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:3.5\nr0:0.3 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:5\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:4.6\nr0:0.2 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:5\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:8\n_p7:1\nY:6.0\nr0:0.2 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:16\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.8\nr0:0.4 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:5\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:6.3\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:5.3\nr0:0.1 r1:0.6 r2:0.3 r3:0.6 V:1\nX:\n_p0:20\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:25\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:1\n_p7:400\nY:7.1\nr0:0.3 r1:0.4 r2:0.3 r3:0.2 V:1\nX:\n_p0:16\n_p1:16\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:4\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:20\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:7.8\nr0:0.4 r1:0.5 r2:0.4 r3:0.8 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:2\n_p7:400\nY:0.1\nr0:0.4 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:400\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:7.9\nr0:0.2 r1:0.9 r2:0.5 r3:1.3 V:0\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:32\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:5\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:5.0\nr0:0.3 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:25\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:8\n_p7:1\nY:6.4\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:25\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:8\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:400\n_p7:1\nY:7.9\nr0:0.2 r1:0.6 r2:0.3 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:10\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:5.4\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:4\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:5.8\nr0:0.2 r1:0.3 r2:0.2 r3:0.7 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:10\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:4.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:400\n_p7:1\nY:8.0\nr0:0.2 r1:2.6 r2:1.6 r3:5.1 V:0\nX:\n_p0:1\n_p1:25\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:4\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.8\nr0:0.3 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:20\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:8\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:1\nY:5.6\nr0:0.3 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:4\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:4\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:16\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:8\n_p7:1\nY:5.8\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:3.6\nr0:0.1 r1:0.9 r2:0.5 r3:1.3 V:0\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:2\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:6.6\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:4.1\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:6.6\nr0:0.5 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:400\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:10\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:4\n_p7:1\nY:6.1\nr0:0.4 r1:0.1 r2:0.1 r3:0.3 V:1\nX:\n_p0:10\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:1\nY:6.1\nr0:0.4 r1:0.1 r2:0.1 r3:0.3 V:1\nX:\n_p0:10\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:400\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:7.8\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:f\n_p5:o\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[60][80],double ey[60][80],double hz[60][80],double _fict_[40])\n{\n  int t;\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 40; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 60; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 60; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 1; j < 80; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n    for (i = 0; i < 59; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 79; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:79\n_p8:o\n_p9:f\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:8.1\nr0:0.0 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:2\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:7.9\nr0:0.0 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:32\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.1 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.7\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:8\n_p3:1\n_p4:2\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.0 r1:1.4 r2:0.7 r3:1.3 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:79\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:2.7\nr0:0.1 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:60\n_p15:59\nY:6.7\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:4\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.0 r1:0.2 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:79\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:8.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:8\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.6\nr0:0.0 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:4\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:79\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.5\nr0:0.0 r1:1.3 r2:0.7 r3:0.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:79\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.7\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:16\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:8\nY:3.0\nr0:0.1 r1:0.8 r2:0.4 r3:0.7 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:1\n_p8:o\n_p9:f\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:4\n_p3:1\n_p4:2\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.0 r1:0.8 r2:0.5 r3:0.6 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V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:32\n_p4:1\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.7\nr0:0.0 r1:0.4 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:20\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:3.8\nr0:0.0 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:2\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.1\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:79\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.6\nr0:0.0 r1:1.3 r2:0.7 r3:0.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:2.7\nr0:0.1 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:16\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.0\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:12\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:16\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.0 r1:0.2 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:40\n_p1:16\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:7.9\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:59\n_p14:60\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[120], double x2[120], double y_1[120], double y_2[120], double A[120][120])\n{\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 120; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 120; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:10\n_p2:15\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:8.1\nr0:0.0 r1:1.0 r2:0.6 r3:1.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:24\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.3\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:24\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:6.9\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:12\n_p1:1\n_p2:24\n_p3:1\n_p4:c\n_p5:f\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:12\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:6.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:15\n_p2:120\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:8.4\nr0:0.1 r1:1.6 r2:0.9 r3:2.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:10\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:9.3\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:15\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:8\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:8.8\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:4\n_p1:2\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:8\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:10\n_p3:10\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.6\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:6\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:6.8\nr0:0.0 r1:0.6 r2:0.3 r3:1.2 V:0\nX:\n_p0:2\n_p1:24\n_p2:1\n_p3:20\n_p4:f\n_p5:c\n_p6:4\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:6\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:12\n_p2:1\n_p3:20\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:10.3\nr0:0.1 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:2\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:8\n_p7:1\nY:9.5\nr0:0.0 r1:0.3 r2:0.2 r3:0.4 V:1\nX:\n_p0:8\n_p1:8\n_p2:32\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:9.4\nr0:0.1 r1:0.8 r2:0.5 r3:1.6 V:0\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:5\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:4\nY:10.7\nr0:0.1 r1:1.7 r2:1.0 r3:3.3 V:0\nX:\n_p0:4\n_p1:1\n_p2:1\n_p3:24\n_p4:f\n_p5:c\n_p6:1\n_p7:120\nY:10.0\nr0:0.1 r1:0.4 r2:0.2 r3:0.8 V:1\nX:\n_p0:1\n_p1:10\n_p2:32\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:4\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.4\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:6\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.8\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:15\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:1\n_p7:1\nY:8.3\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:4\n_p2:32\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:8\nY:9.2\nr0:0.1 r1:0.6 r2:0.4 r3:1.0 V:0\nX:\n_p0:8\n_p1:5\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:8\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:8\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:3\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:2\nY:8.3\nr0:0.0 r1:0.5 r2:0.3 r3:1.0 V:0\nX:\n_p0:1\n_p1:5\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:120\n_p7:4\nY:7.4\nr0:0.0 r1:0.0 r2:0.0 r3:0.1 V:1\nX:\n_p0:8\n_p1:15\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:3\n_p2:32\n_p3:1\n_p4:c\n_p5:f\n_p6:2\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:20\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:8.1\nr0:0.0 r1:0.5 r2:0.3 r3:1.0 V:0\nX:\n_p0:4\n_p1:2\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:30\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:120\n_p7:1\nY:8.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:8\n_p1:6\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:4\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:8.3\nr0:0.0 r1:0.3 r2:0.1 r3:0.4 V:1\nX:\n_p0:20\n_p1:4\n_p2:24\n_p3:1\n_p4:o\n_p5:f\n_p6:2\n_p7:1\nY:10.5\nr0:0.0 r1:0.5 r2:0.3 r3:0.8 V:1\nX:\n_p0:2\n_p1:12\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:2\nY:10.3\nr0:0.0 r1:1.3 r2:0.8 r3:2.7 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:120\n_p7:1\nY:9.6\nr0:0.1 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:3\n_p2:1\n_p3:24\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:8.3\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:10\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:120\n_p7:2\nY:7.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:8\n_p1:4\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:30\n_p4:c\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:120\n_p7:4\nY:8.0\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:4\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:2\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:3\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:8.4\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:8\n_p1:8\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:3\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:2\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:8\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:3\n_p2:32\n_p3:1\n_p4:c\n_p5:f\n_p6:2\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:2\n_p2:32\n_p3:1\n_p4:c\n_p5:f\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:10\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:4\nY:8.7\nr0:0.1 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:4\n_p1:1\n_p2:10\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.5\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:12\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:10.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:15\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:4\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:120\n_p7:2\nY:7.0\nr0:0.0 r1:0.0 r2:0.0 r3:0.1 V:1\nX:\n_p0:8\n_p1:1\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:24\n_p3:1\n_p4:c\n_p5:f\n_p6:120\n_p7:1\nY:10.0\nr0:0.0 r1:0.8 r2:0.5 r3:1.6 V:0\nX:\n_p0:8\n_p1:10\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:8\nY:8.0\nr0:0.0 r1:1.1 r2:0.6 r3:2.2 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.2\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:8\n_p1:16\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.8\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:2\n_p1:20\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:10.4\nr0:0.0 r1:2.0 r2:1.2 r3:3.8 V:0\nX:\n_p0:20\n_p1:2\n_p2:24\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:11.2\nr0:0.0 r1:0.6 r2:0.5 r3:0.6 V:1\nX:\n_p0:4\n_p1:16\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:2\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:8\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:2\n_p7:1\nY:8.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:6\n_p2:24\n_p3:1\n_p4:c\n_p5:f\n_p6:120\n_p7:1\nY:8.9\nr0:0.0 r1:0.6 r2:0.4 r3:1.2 V:0\nX:\n_p0:1\n_p1:12\n_p2:1\n_p3:20\n_p4:f\n_p5:c\n_p6:120\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:8.5\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:10\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:120\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[200][240],double ey[200][240],double hz[200][240],double _fict_[100])\n{\n  int t;\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 100; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 240; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 0; j < 240; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (i = 0; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n      for (j = 1; j < 240; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 200 - 1; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 240 - 1; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:2\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.8\nr0:0.5 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.3\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:10\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.1\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:32\n_p1:16\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:12\n_p6:1\n_p7:2\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.5 r1:0.9 r2:0.4 r3:0.7 V:0\nTY:0.5\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:239\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_trmm(double alpha,double A[60][60],double B[60][80])\n{\n//BLAS parameters\n//SIDE   = 'L'\n//UPLO   = 'L'\n//TRANSA = 'T'\n//DIAG   = 'U'\n// => Form  B := alpha*A**T*B.\n// A is MxM\n// B is MxN\n  \n#pragma ACCEL PIPELINE auto{_p3}\n  \n#pragma ACCEL TILE FACTOR=auto{_p5}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (int i = 0; i < 60; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p4}\n    \n#pragma ACCEL TILE FACTOR=auto{_p6}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (int j = 0; j < 80; j++) {\n      \n#pragma ACCEL PARALLEL reduction=B FACTOR=auto{_p2}\n      for (int k = 0; k < 60; k++) {\n        if (k > i) {\n          B[i][j] += A[k][i] * B[k][j];\n        }\n      }\n      B[i][j] = alpha * B[i][j];\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:8\n_p2:5\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:5\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:16\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:2\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:20\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:3\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:3\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:10\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:30\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:2\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:16\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:15\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:2\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:60\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:80\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:5\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:6\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:8\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:30\n_p1:1\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:1.3\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_syr2k(double alpha,double beta,double C[80][80],double A[80][60],double B[80][60])\n{\n  int i;\n  int j;\n  int k;\n//BLAS PARAMS\n//UPLO  = 'L'\n//TRANS = 'N'\n//A is NxM\n//B is NxM\n//C is NxN\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      if (j <= i) {\n        C[i][j] *= beta;\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p5}\n    \n#pragma ACCEL TILE FACTOR=auto{_p7}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (k = 0; k < 60; k++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        if (j <= i) {\n          C[i][j] += A[j][k] * alpha * B[i][k] + B[j][k] * alpha * A[i][k];\n        }\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.4\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:8\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:5\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:4\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:6.2\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:5\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.5\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:2.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:5.1\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:6\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:16\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:5\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.8\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:2\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:4\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:4\n_p2:4\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:80\n_p1:1\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:3\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:60\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:4\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:8\nY:6.2\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:4\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.8\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.2\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:5\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:10\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.2\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:2.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:6\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:2\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:60\nY:7.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:10\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.7\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:30\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:8\nY:5.7\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nTY:7.7\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:4\n_p2:6\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[200][240],double ey[200][240],double hz[200][240],double _fict_[100])\n{\n  int t;\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 100; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 240; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 0; j < 240; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (i = 0; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n      for (j = 1; j < 240; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 200 - 1; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 240 - 1; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:6\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:2.0\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:c\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:16\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.3\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:6\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.5\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.3 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:12\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:1\n_p6:1\n_p7:8\n_p8:o\n_p9:f\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:1.5\nr0:0.6 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:239\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.2\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:2\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.5 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.1\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:2\n_p8:o\n_p9:f\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:f\n_p9:o\n_p10:o\n_p11:o\n_p12:4\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:3\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:16\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.6 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-0.3\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:2\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:1\n_p7:2\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.5 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:239\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.2\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-0.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.5 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.5 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:4\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:2\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:1.5\nr0:0.7 r1:1.0 r2:0.7 r3:1.0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:8\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.9\nr0:0.6 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.2\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:f\n_p9:o\n_p10:o\n_p11:o\n_p12:2\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:199\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:-0.4\nr0:0.3 r1:0.1 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:32\n_p2:32\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:16\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.6 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:25\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.4 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:2\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:5\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:4\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:8\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:239\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:f\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:0.3\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:16\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[200][240],double ey[200][240],double hz[200][240],double _fict_[100])\n{\n  int t;\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 100; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 240; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 0; j < 240; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (i = 0; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n      for (j = 1; j < 240; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 200 - 1; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 240 - 1; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:3\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.6\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:8\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:8\n_p8:o\n_p9:f\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.5 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:8\n_p1:32\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:1\n_p7:239\n_p8:o\n_p9:f\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:16\n_p8:o\n_p9:f\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:32\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.8\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:2\n_p8:o\n_p9:o\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:2\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:16\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:32\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.4\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-0.3\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:1\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.0\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:239\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:2.6\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.6 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:32\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.9\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:239\n_p8:o\n_p9:o\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:5\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.9\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:32\n_p3:1\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:4\n_p8:o\n_p9:o\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:32\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:199\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.3\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.3\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:239\n_p7:8\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.2\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:8\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:4\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.3\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:3\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:3\n_p6:1\n_p7:8\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 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V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:4\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:1\n_p6:1\n_p7:32\n_p8:o\n_p9:f\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:1\n_p7:16\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:8\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:20\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:16\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.8\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:2\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.5 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:2\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:1.5\nr0:0.7 r1:1.0 r2:0.7 r3:1.0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:4\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:8\n_p8:o\n_p9:f\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.4 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:3.4\nr0:0.6 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:2\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.2\nr0:0.5 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:100\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:f\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:10\n_p6:1\n_p7:16\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:2.1\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:2\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.0\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:f\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.3\nr0:0.8 r1:1.8 r2:1.4 r3:1.4 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.1\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:1\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.3 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:239\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:32\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:0.4\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:4\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_2mm(int ni,int nj,int nk,int nl,double alpha,double beta,double tmp[40][50],double A[40][70],double B[70][50],double C[50][80],double D[40][80])\n{\n  int i;\n  int j;\n  int k;\n  \n#pragma ACCEL PIPELINE auto{_p6}\n  \n#pragma ACCEL TILE FACTOR=auto{_p10}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 40; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p8}\n    \n#pragma ACCEL TILE FACTOR=auto{_p12}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (j = 0; j < 50; j++) {\n      tmp[i][j] = 0.0;\n      \n#pragma ACCEL PARALLEL reduction = tmp FACTOR=auto{_p4}\n      for (k = 0; k < 70; ++k) {\n        tmp[i][j] += alpha * A[i][k] * B[k][j];\n      }\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p7}\n  \n#pragma ACCEL TILE FACTOR=auto{_p11}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 40; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (j = 0; j < 80; j++) {\n      D[i][j] *= beta;\n      \n#pragma ACCEL PARALLEL reduction = D FACTOR=auto{_p5}\n      for (k = 0; k < 50; ++k) {\n        D[i][j] += tmp[i][k] * C[k][j];\n      }\n    }\n  }\n}\n ```\nX:\n_p0:4\n_p1:2\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:16\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:10.9\nr0:0.0 r1:0.7 r2:0.4 r3:1.3 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:40\n_p12:1\n_p13:1\nY:3.7\nr0:0.0 r1:2.9 r2:1.9 r3:6.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:50\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:10.8\nr0:0.0 r1:2.5 r2:1.6 r3:5.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:4\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.1\nr0:0.0 r1:0.0 r2:0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.5\nr0:0.0 r1:2.5 r2:1.6 r3:5.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:50\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.7\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:4\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.1\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:5\n_p4:10\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.9\nr0:0.0 r1:0.2 r2:0.1 r3:0.4 V:1\nX:\n_p0:1\n_p1:10\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:40\n_p11:4\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.1 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V:0\nX:\n_p0:1\n_p1:1\n_p2:50\n_p3:1\n_p4:1\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.7\nr0:0.0 r1:2.9 r2:1.9 r3:6.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.3\nr0:0.0 r1:2.4 r2:1.6 r3:5.7 V:0\nX:\n_p0:10\n_p1:5\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:c\n_p7:c\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:40\n_p11:4\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:1\n_p5:50\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:11.5\nr0:0.0 r1:2.5 r2:1.7 r3:5.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:8\nY:3.3\nr0:0.0 r1:2.4 r2:1.6 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V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:1\n_p5:8\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:50\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.4\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:2\n_p11:1\n_p12:1\n_p13:1\nY:3.5\nr0:0.0 r1:1.4 r2:1.2 r3:4.8 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.4\nr0:0.0 r1:0.1 r2:0.0 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.6\nr0:0.0 r1:2.9 r2:1.9 r3:6.5 V:0\nX:\n_p0:8\n_p1:4\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:2\nY:5.7\nr0:0.0 r1:0.4 r2:0.2 r3:0.7 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:4\n_p5:1\n_p6:o\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.0\nr0:0.0 r1:2.8 r2:1.9 r3:6.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:7\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.3\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:o\n_p7:f\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:11.0\nr0:0.0 r1:2.9 r2:1.9 r3:6.5 V:0\nX:\n_p0:1\n_p1:5\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:8\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:1\n_p4:1\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.3\nr0:0.0 r1:2.8 r2:1.9 r3:6.5 V:0\nX:\n_p0:1\n_p1:8\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:2\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:c\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:50\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:70\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:9.2\nr0:0.0 r1:0.8 r2:0.5 r3:0.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:10.8\nr0:0.0 r1:2.5 r2:1.6 r3:5.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:10\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.9\nr0:0.0 r1:0.2 r2:0.1 r3:0.3 V:1\nTY:3.6\nTV:0\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:1\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[200][240],double ey[200][240],double hz[200][240],double _fict_[100])\n{\n  int t;\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 100; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 240; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 0; j < 240; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (i = 0; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n      for (j = 1; j < 240; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 200 - 1; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 240 - 1; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:8\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.9\nr0:0.6 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.4 r1:0.5 r2:0.2 r3:0.5 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V:1\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:8\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:32\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.5 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:32\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:2.2\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:2\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.2 r1:0.5 r2:0.3 r3:0.5 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V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:f\n_p9:o\n_p10:o\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:239\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.9\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:16\n_p2:16\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:3\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.6\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:239\n_p7:2\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:10\n_p6:1\n_p7:8\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.2\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:1\n_p6:1\n_p7:239\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.3\nr0:0.8 r1:1.8 r2:1.4 r3:1.4 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:239\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:4.3\nTV:0\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:1\n_p6:1\n_p7:239\n_p8:o\n_p9:f\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[60][80],double ey[60][80],double hz[60][80],double _fict_[40])\n{\n  int t;\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 40; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 60; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 60; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 1; j < 80; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n    for (i = 0; i < 59; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 79; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:79\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:2.7\nr0:0.1 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:5\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.6\nr0:0.0 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.6\nr0:0.0 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:79\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:4\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:59\nY:6.7\nr0:0.0 r1:0.7 r2:0.3 r3:0.6 V:1\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:6.6\nr0:0.0 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:4\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:16\n_p4:1\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:8.5\nr0:0.0 r1:0.4 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:79\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:2\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:4\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.0 r1:0.7 r2:0.4 r3:0.6 V:1\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:3.6\nr0:0.0 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:59\n_p3:16\n_p4:10\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:8\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:32\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:60\n_p15:1\nY:3.6\nr0:0.0 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:8\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.6\nr0:0.0 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:79\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.7\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:79\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.5\nr0:0.0 r1:0.6 r2:0.4 r3:0.5 V:1\nX:\n_p0:4\n_p1:16\n_p2:1\n_p3:1\n_p4:2\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:60\n_p15:8\nY:3.5\nr0:0.0 r1:2.4 r2:1.2 r3:2.6 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:79\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.5\nr0:0.0 r1:0.6 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.5\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:6.7\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 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V:1\nX:\n_p0:40\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:59\n_p14:60\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:32\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:79\n_p8:o\n_p9:f\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:8.1\nr0:0.0 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.5\nr0:0.0 r1:1.3 r2:0.7 r3:0.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.6\nr0:0.0 r1:0.6 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:3.8\nr0:0.0 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:4\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:16\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:4\n_p3:1\n_p4:2\n_p5:1\n_p6:1\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:59\nY:5.3\nr0:0.0 r1:0.9 r2:0.6 r3:0.6 V:0\nX:\n_p0:1\n_p1:1\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:8\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.5\nr0:0.0 r1:2.4 r2:1.3 r3:1.8 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:79\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.5\nr0:0.0 r1:1.3 r2:0.7 r3:0.9 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:c\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:59\n_p14:60\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:1\n_p8:o\n_p9:f\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:7.4\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nTY:3.8\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:59\n_p14:60\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[120], double x2[120], double y_1[120], double y_2[120], double A[120][120])\n{\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 120; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 120; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:8\n_p1:1\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:8\n_p7:120\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:1\nX:\n_p0:8\n_p1:24\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:3\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:12\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:9.5\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:12\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.1\nr0:0.1 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:32\n_p1:1\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.1\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:1\n_p2:10\n_p3:30\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:8.7\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:4\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:6.9\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:5\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:9.2\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:0\nX:\n_p0:1\n_p1:2\n_p2:32\n_p3:1\n_p4:c\n_p5:f\n_p6:120\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:6\n_p4:c\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:2\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:1\n_p7:1\nY:9.6\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:3\n_p2:30\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:8.1\nr0:0.0 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:8\n_p1:30\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:1\n_p7:2\nY:8.7\nr0:0.0 r1:0.2 r2:0.2 r3:0.4 V:1\nX:\n_p0:1\n_p1:16\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:120\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:120\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:5\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:1\n_p7:8\nY:7.9\nr0:0.1 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.0\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:24\n_p3:1\n_p4:o\n_p5:f\n_p6:120\n_p7:120\nY:9.7\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:10\n_p2:20\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:8.7\nr0:0.0 r1:1.0 r2:0.6 r3:1.9 V:0\nX:\n_p0:8\n_p1:2\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:120\n_p3:1\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.0\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:2\n_p2:3\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.4 V:1\nX:\n_p0:8\n_p1:30\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:2\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:30\n_p2:1\n_p3:16\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:2\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:4\n_p7:8\nY:10.3\nr0:0.0 r1:0.8 r2:0.4 r3:1.2 V:0\nX:\n_p0:4\n_p1:2\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:2\n_p7:4\nY:10.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:6\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:10.3\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:8\n_p1:30\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:5\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:8\n_p7:8\nY:8.4\nr0:0.0 r1:0.7 r2:0.4 r3:1.4 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:120\n_p7:8\nY:10.6\nr0:0.1 r1:0.6 r2:0.3 r3:1.0 V:0\nX:\n_p0:4\n_p1:16\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:120\n_p7:2\nY:7.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:4\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.4\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:16\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:1\n_p2:10\n_p3:10\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.3\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nTY:7.2\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:32\n_p3:2\n_p4:o\n_p5:o\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_trmm(double alpha,double A[60][60],double B[60][80])\n{\n//BLAS parameters\n//SIDE   = 'L'\n//UPLO   = 'L'\n//TRANSA = 'T'\n//DIAG   = 'U'\n// => Form  B := alpha*A**T*B.\n// A is MxM\n// B is MxN\n  \n#pragma ACCEL PIPELINE auto{_p3}\n  \n#pragma ACCEL TILE FACTOR=auto{_p5}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (int i = 0; i < 60; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p4}\n    \n#pragma ACCEL TILE FACTOR=auto{_p6}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (int j = 0; j < 80; j++) {\n      double sum = B[i][j];\n#pragma ACCEL PARALLEL reduction=sum FACTOR=auto{_p2}\n      for (int k = 0; k < 60; k++) {\n        if (k > i) {\n          sum += A[k][i] * B[k][j];\n        }\n      }\n      B[i][j] = alpha * sum;\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:4.9\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:30\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:5.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:10.1\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:2\n_p1:4\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.1\nr0:0.0 r1:0.5 r2:2.6 r3:0.8 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:4\n_p1:5\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:9.8\nr0:0.0 r1:1.0 r2:4.6 r3:1.9 V:0\nX:\n_p0:1\n_p1:80\n_p2:16\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:4.3\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:20\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:8.6\nr0:0 r1:1.2 r2:0.7 r3:1.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:5.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:2.7\nr0:0.0 r1:0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:5\n_p2:4\n_p3:o\n_p4:c\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:32\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:2\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.5\nr0:0.0 r1:0.4 r2:2.5 r3:0.4 V:0\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:c\n_p5:60\n_p6:1\nY:10.1\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:4\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:2\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.5\nr0:0.0 r1:0.5 r2:6.7 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:30\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:5.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:15\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:20\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:5.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:c\n_p4:o\n_p5:60\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:8.2\nr0:0.0 r1:0.3 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:3.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:80\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:4.2\nr0:0.0 r1:0 r2:0 r3:0 V:1\nX:\n_p0:2\n_p1:20\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.3\nr0:0 r1:2.1 r2:7.3 r3:3.8 V:0\nX:\n_p0:1\n_p1:16\n_p2:32\n_p3:o\n_p4:c\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:10\n_p3:o\n_p4:o\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:30\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:5.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:8.6\nr0:0 r1:1.2 r2:0.7 r3:1.9 V:0\nX:\n_p0:4\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.6\nr0:0 r1:2.0 r2:9.3 r3:3.7 V:0\nX:\n_p0:1\n_p1:4\n_p2:60\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:8.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.4 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:c\n_p4:o\n_p5:1\n_p6:80\nY:-\nr0:0 r1:0 r2:0 r3:0 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r3:0 V:1\nX:\n_p0:1\n_p1:4\n_p2:20\n_p3:o\n_p4:c\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.4 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:5.0\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:8.7\nr0:0.0 r1:0.9 r2:0.6 r3:1.5 V:0\nX:\n_p0:1\n_p1:2\n_p2:16\n_p3:o\n_p4:c\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:8.5\nr0:0 r1:0.6 r2:0.3 r3:1.0 V:0\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.2\nr0:0.0 r1:0.3 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:8\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:80\n_p2:60\n_p3:c\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:6\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.1\nr0:0 r1:2.3 r2:11.0 r3:4.4 V:0\nX:\n_p0:1\n_p1:16\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:10\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.9\nr0:0 r1:3.6 r2:16.1 r3:7.1 V:0\nX:\n_p0:1\n_p1:4\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:8.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.4 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:c\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:4\n_p3:o\n_p4:c\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:4.9\nr0:0.1 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:3\n_p1:16\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.8\nr0:0.0 r1:2.4 r2:10.5 r3:4.5 V:0\nX:\n_p0:2\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.4\nr0:0.0 r1:0.9 r2:2.9 r3:1.5 V:0\nX:\n_p0:1\n_p1:80\n_p2:3\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:4.9\nr0:0.1 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:4.8\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:4.2\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:4.5\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:10\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:5\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.7\nr0:0.0 r1:1.9 r2:9.4 r3:3.7 V:0\nX:\n_p0:4\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:4.8\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:30\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:80\nY:10.1\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:3.9\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:3.9\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:c\n_p4:f\n_p5:60\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:30\n_p3:o\n_p4:o\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:4.3\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:16\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:8.7\nr0:0.0 r1:0.9 r2:0.6 r3:1.5 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.7\nr0:0.0 r1:0.9 r2:0.6 r3:1.5 V:0\nX:\n_p0:1\n_p1:2\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:o\n_p4:o\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:o\n_p4:o\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:5.0\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:10\n_p2:16\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:5.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.5\nr0:0 r1:0.6 r2:0.3 r3:1.0 V:0\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:3.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:20\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:8.4\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:2\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[200][240],double ey[200][240],double hz[200][240],double _fict_[100])\n{\n  int t;\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 100; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 240; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 0; j < 240; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (i = 0; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n      for (j = 1; j < 240; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 200 - 1; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 240 - 1; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:239\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:2.2\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.5 r1:0.6 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:6\n_p6:1\n_p7:8\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.2\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:1\n_p7:4\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:2\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.6 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:16\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.6 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:16\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:5\n_p6:1\n_p7:239\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.3\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:c\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.5 r1:0.9 r2:0.5 r3:0.7 V:0\nX:\n_p0:8\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:f\n_p9:o\n_p10:o\n_p11:o\n_p12:2\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:239\n_p8:o\n_p9:f\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:16\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:16\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.5 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:4\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.5 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:2.6\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.5 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:10\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:c\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:10\n_p6:1\n_p7:239\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:f\n_p9:o\n_p10:o\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:32\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:16\n_p1:1\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:199\n_p3:10\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:239\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:1\n_p7:239\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.9\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:239\n_p8:o\n_p9:f\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.5\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:25\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:239\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:2.6\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:4\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:f\n_p9:o\n_p10:o\n_p11:o\n_p12:2\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.5 r1:0.9 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:32\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:199\n_p3:25\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:32\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.3 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.8\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:1\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:2\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:2\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:6\n_p6:1\n_p7:239\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.5\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:239\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.5 r1:0.9 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:32\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:10\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:f\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:10\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:2.2\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.9\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:10\n_p6:1\n_p7:8\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.2\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:6\n_p6:1\n_p7:16\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.9\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nTY:1.0\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_trmm(double alpha,double A[60][60],double B[60][80])\n{\n//BLAS parameters\n//SIDE   = 'L'\n//UPLO   = 'L'\n//TRANSA = 'T'\n//DIAG   = 'U'\n// => Form  B := alpha*A**T*B.\n// A is MxM\n// B is MxN\n  \n#pragma ACCEL PIPELINE auto{_p3}\n  \n#pragma ACCEL TILE FACTOR=auto{_p5}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (int i = 0; i < 60; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p4}\n    \n#pragma ACCEL TILE FACTOR=auto{_p6}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (int j = 0; j < 80; j++) {\n      \n#pragma ACCEL PARALLEL reduction=B FACTOR=auto{_p2}\n      for (int k = 0; k < 60; k++) {\n        if (k > i) {\n          B[i][j] += A[k][i] * B[k][j];\n        }\n      }\n      B[i][j] = alpha * B[i][j];\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:30\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:2\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:5\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:8\n_p2:32\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:30\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:2\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:2\n_p1:20\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:10\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:5\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:8\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:8\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:10\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:10\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:5\n_p2:5\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:8\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:5\n_p2:3\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:0\nX:\n_p0:1\n_p1:80\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:80\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:2\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.2\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:8\n_p2:4\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:20\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:3\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:4\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:12\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:4\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:4\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:12\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:6\n_p1:1\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:16\n_p2:15\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:80\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:o\n_p4:c\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.2\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nTY:1.2\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[400],double x2[400],double y_1[400],double y_2[400],double A[400][400])\n{\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 400; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 400; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n}\n ```\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:10\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:4\n_p7:1\nY:6.1\nr0:0.4 r1:0.1 r2:0.1 r3:0.3 V:1\nX:\n_p0:1\n_p1:16\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:400\n_p7:1\nY:5.9\nr0:0.4 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:4\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:4.4\nr0:0.3 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:25\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:4.8\nr0:1.0 r1:1.2 r2:0.7 r3:2.6 V:0\nX:\n_p0:1\n_p1:8\n_p2:5\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:4.3\nr0:0.1 r1:2.6 r2:1.5 r3:5.1 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:10\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:7.3\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:2\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:1\nY:6.6\nr0:0.5 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:25\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:8.7\nr0:0.2 r1:0.4 r2:0.3 r3:0.7 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:3.6\nr0:0.3 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:25\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:5.8\nr0:0.2 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:16\n_p1:10\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:5.9\nr0:0.3 r1:3.3 r2:2.0 r3:6.6 V:0\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:20\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.4 r1:0.4 r2:0.3 r3:0.7 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:2\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:3.9\nr0:0.2 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:2\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:4\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:16\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:4\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:32\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.0\nr0:0.3 r1:0.4 r2:0.2 r3:0.3 V:1\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:1\n_p7:1\nY:7.0\nr0:0.3 r1:0.1 r2:0.1 r3:0.1 V:1\nX:\n_p0:4\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:8\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:25\n_p3:5\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:4.2\nr0:0.2 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:2\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:3.5\nr0:0.2 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:8\n_p7:1\nY:5.9\nr0:0.4 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:20\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:4.9\nr0:0.2 r1:0.4 r2:0.2 r3:0.7 V:1\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:8\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:7.2\nTV:1\n", "outputs":"### outputs: _p0:20\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:1\n_p7:400\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_trmm(double alpha,double A[60][60],double B[60][80])\n{\n//BLAS parameters\n//SIDE   = 'L'\n//UPLO   = 'L'\n//TRANSA = 'T'\n//DIAG   = 'U'\n// => Form  B := alpha*A**T*B.\n// A is MxM\n// B is MxN\n  \n#pragma ACCEL PIPELINE auto{_p3}\n  \n#pragma ACCEL TILE FACTOR=auto{_p5}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (int i = 0; i < 60; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p4}\n    \n#pragma ACCEL TILE FACTOR=auto{_p6}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (int j = 0; j < 80; j++) {\n      double sum = B[i][j];\n#pragma ACCEL PARALLEL reduction=sum FACTOR=auto{_p2}\n      for (int k = 0; k < 60; k++) {\n        if (k > i) {\n          sum += A[k][i] * B[k][j];\n        }\n      }\n      B[i][j] = alpha * sum;\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:8\n_p2:8\n_p3:o\n_p4:c\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:5.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:5\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:3\n_p1:4\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.6\nr0:0.0 r1:0.7 r2:5.0 r3:1.1 V:0\nX:\n_p0:4\n_p1:5\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:9.8\nr0:0.0 r1:1.0 r2:4.6 r3:1.9 V:0\nX:\n_p0:3\n_p1:4\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.4 V:1\nX:\n_p0:1\n_p1:10\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:8.5\nr0:0 r1:0.6 r2:0.3 r3:1.0 V:0\nX:\n_p0:1\n_p1:10\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:4.2\nr0:0.0 r1:0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:3.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:3\n_p1:1\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:3\n_p1:2\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.3\nr0:0.0 r1:0.4 r2:4.7 r3:0.6 V:0\nX:\n_p0:2\n_p1:16\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.5\nr0:0.0 r1:1.7 r2:5.8 r3:3.0 V:0\nX:\n_p0:3\n_p1:10\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:30\n_p3:o\n_p4:c\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:2\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.5\nr0:0.0 r1:0.4 r2:2.5 r3:0.4 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.7\nr0:0.0 r1:0.5 r2:0.3 r3:0.8 V:1\nX:\n_p0:2\n_p1:2\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:80\nY:10.1\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:4\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:4.9\nr0:0.1 r1:0.0 r2:0 r3:0 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r2:0.0 r3:0.0 V:1\nX:\n_p0:12\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.0\nr0:0.0 r1:4.2 r2:17.6 r3:8.4 V:0\nX:\n_p0:1\n_p1:2\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:10\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:8.5\nr0:0 r1:0.6 r2:0.3 r3:1.0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:4.2\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:4.0\nr0:0.0 r1:0 r2:0 r3:0 V:1\nX:\n_p0:3\n_p1:16\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:60\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:4\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:8.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.4 V:1\nX:\n_p0:1\n_p1:20\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:8.5\nr0:0 r1:0.6 r2:0.3 r3:1.0 V:0\nX:\n_p0:1\n_p1:10\n_p2:12\n_p3:o\n_p4:c\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:3\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.4\nr0:0.0 r1:1.5 r2:6.6 r3:2.8 V:0\nX:\n_p0:1\n_p1:32\n_p2:4\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:30\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:5.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:2\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.5\nr0:0.0 r1:0.5 r2:6.7 r3:0.7 V:0\nX:\n_p0:3\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:4.4\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:8\nY:8.5\nr0:0 r1:0.6 r2:0.3 r3:1.0 V:0\nX:\n_p0:1\n_p1:4\n_p2:8\n_p3:o\n_p4:c\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:4.5\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:4.9\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:30\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:8.7\nr0:0.0 r1:0.5 r2:0.3 r3:0.8 V:1\nX:\n_p0:5\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.7\nr0:0.0 r1:1.9 r2:9.4 r3:3.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:10.1\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:3\n_p1:16\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.8\nr0:0.0 r1:2.4 r2:10.5 r3:4.5 V:0\nX:\n_p0:1\n_p1:4\n_p2:30\n_p3:o\n_p4:o\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:6\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.1\nr0:0 r1:2.3 r2:11.0 r3:4.4 V:0\nX:\n_p0:1\n_p1:16\n_p2:15\n_p3:o\n_p4:o\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:2\n_p2:60\n_p3:o\n_p4:c\n_p5:60\n_p6:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:3\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:8.7\nTV:0\n", "outputs":"### outputs: _p0:1\n_p1:16\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[60][80],double ey[60][80],double hz[60][80],double _fict_[40])\n{\n  int t;\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 40; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 60; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 60; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 1; j < 80; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n    for (i = 0; i < 59; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 79; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:2\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:59\n_p14:1\n_p15:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:4\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:4\n_p15:59\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:79\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:32\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.1 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:79\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:79\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:2.9\nr0:0.0 r1:0.5 r2:0.2 r3:0.4 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.0 r1:0.2 r2:0.2 r3:0.2 V:1\nX:\n_p0:16\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:60\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:32\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.6\nr0:0.0 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.1\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:8\nY:3.2\nr0:0.0 r1:0.8 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:2.7\nr0:0.1 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:4\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:60\n_p15:59\nY:5.3\nr0:0.0 r1:0.8 r2:0.6 r3:0.6 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:6.6\nr0:0.0 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:4\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:2\n_p15:59\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:79\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:2.9\nr0:0.0 r1:0.5 r2:0.2 r3:0.4 V:1\nX:\n_p0:1\n_p1:1\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.6\nr0:0.0 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:79\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.7\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.6\nr0:0.0 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:59\n_p14:60\n_p15:59\nY:8.8\nr0:0.0 r1:0.4 r2:0.2 r3:0.2 V:1\nX:\n_p0:40\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:59\n_p14:60\n_p15:59\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:2.7\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:79\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:2\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[200][240],double ey[200][240],double hz[200][240],double _fict_[100])\n{\n  int t;\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 100; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 240; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 0; j < 240; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (i = 0; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n      for (j = 1; j < 240; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 200 - 1; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 240 - 1; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:f\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.4\nr0:0.2 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:4\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.2\nr0:0.5 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.5 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-0.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-0.3\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:2\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:4\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:3.9\nTV:0\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:1\n_p7:239\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[120], double x2[120], double y_1[120], double y_2[120], double A[120][120])\n{\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 120; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 120; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:8\nY:8.4\nr0:0.1 r1:0.6 r2:0.3 r3:1.2 V:0\nX:\n_p0:8\n_p1:6\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:4\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:24\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.0\nr0:0.0 r1:0.8 r2:0.4 r3:1.5 V:0\nX:\n_p0:4\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:2\n_p7:120\nY:10.8\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:8\n_p1:1\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:2\nY:2.6\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:20\n_p1:2\n_p2:24\n_p3:1\n_p4:c\n_p5:f\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:30\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.1\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:16\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:10\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:4\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:2\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:24\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:1\n_p2:12\n_p3:12\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.7\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:8\n_p1:8\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:3\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:8\n_p7:1\nY:9.5\nr0:0.0 r1:0.4 r2:0.2 r3:0.6 V:1\nX:\n_p0:8\n_p1:6\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:30\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:120\n_p7:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:4\n_p1:2\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:2\n_p7:1\nY:8.6\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:30\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:9.4\nr0:0.1 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:8\n_p1:1\n_p2:1\n_p3:120\n_p4:f\n_p5:c\n_p6:1\n_p7:120\nY:11.2\nr0:0.1 r1:1.1 r2:0.6 r3:1.5 V:0\nX:\n_p0:8\n_p1:1\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:4\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:2\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:2\n_p7:4\nY:7.9\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:8\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:120\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:12\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:4\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:2\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:24\n_p2:1\n_p3:20\n_p4:f\n_p5:c\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:30\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:120\n_p7:1\nY:8.4\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:2\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.3\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:5\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:120\n_p7:1\nY:7.8\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:2\nY:10.6\nr0:0.1 r1:1.7 r2:1.0 r3:3.3 V:0\nX:\n_p0:4\n_p1:2\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:24\n_p3:1\n_p4:c\n_p5:f\n_p6:120\n_p7:120\nY:10.0\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:8\n_p1:5\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:5\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:4\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:1\n_p2:8\n_p3:24\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:9.4\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:15\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:8.0\nr0:0.0 r1:0.8 r2:0.4 r3:1.5 V:0\nX:\n_p0:8\n_p1:20\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:120\n_p7:8\nY:7.6\nr0:0.0 r1:0.5 r2:0.3 r3:1.0 V:0\nX:\n_p0:8\n_p1:1\n_p2:32\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:9.4\nr0:0.1 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:8\n_p1:10\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:4\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:10\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:2\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:3\n_p2:1\n_p3:6\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:8.2\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:20\n_p1:4\n_p2:24\n_p3:1\n_p4:o\n_p5:f\n_p6:2\n_p7:4\nY:10.0\nr0:0.0 r1:0.9 r2:0.5 r3:1.5 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:16\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:120\n_p7:8\nY:10.5\nr0:0.1 r1:0.4 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:15\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.3\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:12\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:9.5\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:4\n_p1:1\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:2\n_p7:120\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:3\n_p2:24\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:8.1\nr0:0.0 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:3\n_p2:1\n_p3:120\n_p4:f\n_p5:c\n_p6:1\n_p7:2\nY:8.3\nr0:0.1 r1:0.4 r2:0.2 r3:0.8 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:120\n_p7:1\nY:9.6\nr0:0.1 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:4\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.0\nr0:0.0 r1:0.0 r2:0 r3:0.0 V:1\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:16\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:3\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.8 r2:0.4 r3:1.5 V:0\nX:\n_p0:8\n_p1:24\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:10\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:8\nY:8.8\nr0:0.0 r1:1.4 r2:0.8 r3:2.7 V:0\nX:\n_p0:1\n_p1:6\n_p2:15\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:8.1\nr0:0.0 r1:0.6 r2:0.4 r3:1.2 V:0\nX:\n_p0:2\n_p1:1\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:2\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:4\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:32\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:2\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:24\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:120\n_p7:1\nY:8.4\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:10\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:2\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:2\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:8.7\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:6.8\nr0:0.0 r1:1.0 r2:0.6 r3:1.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:120\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.8\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:3\n_p1:24\n_p2:1\n_p3:20\n_p4:f\n_p5:c\n_p6:8\n_p7:1\nY:11.0\nr0:0.0 r1:0.6 r2:0.4 r3:0.8 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:15\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:3\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:30\n_p2:1\n_p3:5\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:9.3\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:8\n_p1:15\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:3\n_p2:1\n_p3:3\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:8.0\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:4\n_p1:16\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:8.5\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:2\n_p1:10\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:4\n_p7:1\nY:9.2\nr0:0.0 r1:1.0 r2:0.6 r3:1.9 V:0\nTY:7.2\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:2\n_p3:32\n_p4:c\n_p5:o\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[120], double x2[120], double y_1[120], double y_2[120], double A[120][120])\n{\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 120; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 120; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:8\n_p1:1\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:30\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:9.3\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:8\n_p1:15\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:4\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:3\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:120\n_p7:8\nY:7.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:10\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.2\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:24\n_p3:1\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:6.9\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:24\n_p2:1\n_p3:2\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:10.8\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:4\n_p2:24\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:9.7\nr0:0.0 r1:0.5 r2:0.2 r3:0.8 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:15\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:10.0\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:32\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:15\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:8\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:15\n_p2:32\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:7.6\nr0:0.1 r1:1.4 r2:0.9 r3:2.9 V:0\nX:\n_p0:4\n_p1:1\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:4\n_p7:120\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:10\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:8\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:1\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:10\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.2\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:8\n_p1:1\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:4\nY:3.6\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:8\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:15\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:3\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:8\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:2\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:4\n_p7:4\nY:10.1\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:8\n_p1:6\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:8\nY:8.0\nr0:0.0 r1:0.7 r2:0.4 r3:1.4 V:0\nX:\n_p0:8\n_p1:6\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:1\n_p7:1\nY:9.1\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:8\n_p1:1\n_p2:32\n_p3:1\n_p4:c\n_p5:f\n_p6:8\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:2\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.9\nr0:0.0 r1:0.8 r2:0.4 r3:1.5 V:0\nX:\n_p0:8\n_p1:3\n_p2:32\n_p3:1\n_p4:c\n_p5:f\n_p6:8\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:1\n_p7:120\nY:9.2\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:6\n_p2:5\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.6 r2:0.3 r3:1.2 V:0\nX:\n_p0:20\n_p1:1\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:120\nY:9.7\nr0:0.0 r1:2.0 r2:1.1 r3:3.8 V:0\nX:\n_p0:1\n_p1:10\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:3\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:2\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:12\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:120\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:c\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:24\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:4\n_p7:1\nY:10.6\nr0:0.0 r1:2.3 r2:1.4 r3:4.6 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:c\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:12\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:2\n_p2:24\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:11.2\nr0:0.0 r1:0.6 r2:0.5 r3:0.6 V:1\nX:\n_p0:2\n_p1:1\n_p2:10\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.1\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:3\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:2\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:6\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:2\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:4\n_p7:4\nY:10.4\nr0:0.0 r1:0.5 r2:0.3 r3:0.8 V:1\nX:\n_p0:1\n_p1:24\n_p2:1\n_p3:20\n_p4:f\n_p5:c\n_p6:8\n_p7:1\nY:10.1\nr0:0.1 r1:0.4 r2:0.3 r3:0.2 V:1\nX:\n_p0:6\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:8\n_p7:1\nY:9.5\nr0:0.0 r1:0.7 r2:0.4 r3:1.4 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:12\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:8.4\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:24\n_p1:1\n_p2:1\n_p3:20\n_p4:f\n_p5:c\n_p6:1\n_p7:120\nY:9.9\nr0:0.1 r1:2.3 r2:1.4 r3:4.6 V:0\nX:\n_p0:2\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:8\n_p7:1\nY:9.5\nr0:0.0 r1:0.3 r2:0.2 r3:0.4 V:1\nX:\n_p0:16\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:11.3\nr0:0.0 r1:1.6 r2:1.0 r3:3.1 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:15\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:10.2\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:2\n_p1:24\n_p2:1\n_p3:20\n_p4:f\n_p5:c\n_p6:4\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:1\n_p7:8\nY:9.0\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:120\n_p7:1\nY:8.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:24\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:10.0\nr0:0.0 r1:0.5 r2:0.3 r3:0.8 V:1\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:4\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:9.2\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:8\n_p1:4\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:8\nY:9.2\nr0:0.1 r1:0.6 r2:0.4 r3:1.0 V:0\nX:\n_p0:20\n_p1:4\n_p2:24\n_p3:1\n_p4:o\n_p5:f\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:4\n_p2:24\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:11.2\nr0:0.0 r1:0.8 r2:0.6 r3:1.0 V:0\nX:\n_p0:1\n_p1:24\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:120\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:3\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:10.4\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:4\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.0\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:5\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:120\n_p7:8\nY:7.5\nr0:0.0 r1:0.0 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:3\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:120\n_p7:1\nY:7.7\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:3\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:9.6\nr0:0.0 r1:0.4 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:120\n_p7:4\nY:3.6\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:5\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:2\nY:7.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.1 V:1\nX:\n_p0:2\n_p1:1\n_p2:10\n_p3:24\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:8.5\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:32\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:12\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:10\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:8\n_p7:1\nY:9.5\nr0:0.0 r1:1.1 r2:0.7 r3:2.2 V:0\nX:\n_p0:8\n_p1:10\n_p2:32\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:8.3\nr0:0.0 r1:1.0 r2:0.6 r3:2.0 V:0\nX:\n_p0:8\n_p1:24\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:1\n_p7:1\nY:10.7\nr0:0.2 r1:0.1 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:15\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.3\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:8\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:2\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:16\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:1\n_p2:12\n_p3:10\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.6\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:120\n_p7:120\nY:11.3\nr0:0.1 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:5\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:9.2\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.3 r2:0.1 r3:0.4 V:1\nX:\n_p0:1\n_p1:15\n_p2:1\n_p3:20\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:8.4\nr0:0.1 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:32\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:120\n_p7:1\nY:8.1\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:120\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.8\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:16\n_p4:c\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:9.7\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:120\n_p7:120\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_trmm(double alpha,double A[60][60],double B[60][80])\n{\n//BLAS parameters\n//SIDE   = 'L'\n//UPLO   = 'L'\n//TRANSA = 'T'\n//DIAG   = 'U'\n// => Form  B := alpha*A**T*B.\n// A is MxM\n// B is MxN\n  \n#pragma ACCEL PIPELINE auto{_p3}\n  \n#pragma ACCEL TILE FACTOR=auto{_p5}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (int i = 0; i < 60; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p4}\n    \n#pragma ACCEL TILE FACTOR=auto{_p6}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (int j = 0; j < 80; j++) {\n      double sum = B[i][j];\n#pragma ACCEL PARALLEL reduction=sum FACTOR=auto{_p2}\n      for (int k = 0; k < 60; k++) {\n        if (k > i) {\n          sum += A[k][i] * B[k][j];\n        }\n      }\n      B[i][j] = alpha * sum;\n    }\n  }\n}\n ```\nX:\n_p0:12\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.0\nr0:0.0 r1:4.2 r2:17.6 r3:8.4 V:0\nX:\n_p0:3\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:3\n_p1:16\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.8\nr0:0.0 r1:2.4 r2:10.5 r3:4.5 V:0\nX:\n_p0:1\n_p1:10\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:4.4\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:c\n_p4:c\n_p5:1\n_p6:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:4.2\nr0:0.0 r1:0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:3.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:10\n_p2:6\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:8\nY:8.5\nr0:0 r1:0.6 r2:0.3 r3:1.0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:4.2\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:4.5\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:o\n_p4:c\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:5\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:9.8\nr0:0.0 r1:1.0 r2:4.6 r3:1.9 V:0\nX:\n_p0:1\n_p1:20\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:4\nY:8.6\nr0:0 r1:1.2 r2:0.7 r3:1.9 V:0\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:8.6\nr0:0 r1:1.2 r2:0.7 r3:1.9 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.5\nr0:0 r1:0.6 r2:0.3 r3:1.0 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:8.5\nr0:0 r1:0.6 r2:0.3 r3:1.0 V:0\nX:\n_p0:1\n_p1:80\n_p2:3\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:4.3\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:2\n_p2:10\n_p3:o\n_p4:c\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:12\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:4\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:8.7\nr0:0.0 r1:0.9 r2:0.6 r3:1.5 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.7\nr0:0.0 r1:0.9 r2:0.6 r3:1.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:5.0\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.6\nr0:0 r1:1.2 r2:0.7 r3:1.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:o\n_p4:c\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:20\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.3\nr0:0 r1:2.1 r2:7.3 r3:3.8 V:0\nX:\n_p0:1\n_p1:32\n_p2:16\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:o\n_p4:o\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:4.9\nr0:0.1 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:4.2\nr0:0.0 r1:0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:8.2\nr0:0.0 r1:0.3 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:c\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:16\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:2.7\nr0:0.0 r1:0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:3.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:o\n_p4:o\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:5.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:10\n_p2:10\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:5\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:8.7\nr0:0.0 r1:0.5 r2:0.3 r3:0.8 V:1\nX:\n_p0:4\n_p1:16\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.7\nr0:0.0 r1:3.1 r2:14.8 r3:6.0 V:0\nX:\n_p0:1\n_p1:2\n_p2:16\n_p3:c\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:4.9\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:10\n_p2:5\n_p3:o\n_p4:c\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:6\n_p1:1\n_p2:32\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:5\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.7\nr0:0.0 r1:1.9 r2:9.4 r3:3.7 V:0\nX:\n_p0:10\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.9\nr0:0 r1:3.6 r2:16.1 r3:7.1 V:0\nX:\n_p0:1\n_p1:32\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:32\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:10\n_p3:o\n_p4:o\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:1\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:8.2\nr0:0.0 r1:0.3 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:30\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:5.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:4.3\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.7\nr0:0.0 r1:0.5 r2:0.3 r3:0.8 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:4.8\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:4.0\nr0:0.0 r1:0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:3.9\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:20\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:8.6\nr0:0 r1:1.2 r2:0.7 r3:1.9 V:0\nX:\n_p0:1\n_p1:2\n_p2:16\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:4.9\nr0:0.1 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:16\n_p2:60\n_p3:c\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:16\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.5\nr0:0.0 r1:1.7 r2:5.8 r3:3.0 V:0\nX:\n_p0:1\n_p1:8\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:8.7\nr0:0.0 r1:0.5 r2:0.3 r3:0.8 V:1\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:8\nY:8.5\nr0:0 r1:0.6 r2:0.3 r3:1.0 V:0\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:c\n_p5:60\n_p6:1\nY:10.1\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:3.9\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:o\n_p4:o\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:c\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:5.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:60\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:80\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:5.0\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:3\n_p1:80\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:6\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.1\nr0:0 r1:2.3 r2:11.0 r3:4.4 V:0\nX:\n_p0:1\n_p1:32\n_p2:5\n_p3:o\n_p4:c\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:1\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:8.5\nr0:0 r1:0.6 r2:0.3 r3:1.0 V:0\nX:\n_p0:1\n_p1:10\n_p2:15\n_p3:o\n_p4:o\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:8.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.4 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:c\n_p4:c\n_p5:1\n_p6:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:4.0\nr0:0.0 r1:0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:4.8\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:10\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:4.5\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:c\n_p4:o\n_p5:60\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:o\n_p4:c\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:32\n_p3:o\n_p4:o\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:4\n_p3:o\n_p4:c\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:4\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.2\nr0:0.0 r1:0.9 r2:7.0 r3:1.5 V:0\nX:\n_p0:3\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:8.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.4 V:1\nX:\n_p0:1\n_p1:4\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:8.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.4 V:1\nX:\n_p0:1\n_p1:10\n_p2:6\n_p3:o\n_p4:c\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:80\n_p2:1\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:4.2\nr0:0.0 r1:0 r2:0 r3:0 V:1\nX:\n_p0:16\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:30\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:5.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:2\n_p1:2\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:8\nY:8.5\nr0:0 r1:0.6 r2:0.3 r3:1.0 V:0\nX:\n_p0:1\n_p1:20\n_p2:8\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:15\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:2\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.5\nr0:0.0 r1:0.5 r2:6.7 r3:0.7 V:0\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:o\n_p4:f\n_p5:2\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:12\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:c\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.6\nr0:0 r1:2.0 r2:9.3 r3:3.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:c\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.6\nr0:0.0 r1:1.6 r2:7.4 r3:3.0 V:0\nX:\n_p0:1\n_p1:2\n_p2:20\n_p3:o\n_p4:c\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.4 V:1\nX:\n_p0:1\n_p1:10\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:3\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.4\nr0:0.0 r1:1.5 r2:6.6 r3:2.8 V:0\nX:\n_p0:2\n_p1:4\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.1\nr0:0.0 r1:0.5 r2:2.6 r3:0.8 V:0\nX:\n_p0:1\n_p1:1\n_p2:30\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:5.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:4\nY:8.6\nr0:0 r1:1.2 r2:0.7 r3:1.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:80\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:5.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:4.9\nr0:0.1 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:4.4\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:8\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:5\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:8.6\nr0:0 r1:1.2 r2:0.7 r3:1.9 V:0\nX:\n_p0:2\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.7\nr0:0 r1:1.1 r2:3.6 r3:1.9 V:0\nTY:3.9\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:80\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[400],double x2[400],double y_1[400],double y_2[400],double A[400][400])\n{\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 400; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 400; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:1\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:3.4\nr0:0.2 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:5\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:3.3\nr0:0.1 r1:0.0 r2:0 r3:0.0 V:1\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:8\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:4.1\nr0:0.1 r1:0.9 r2:0.5 r3:1.3 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:3.5\nr0:0.3 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:5.0\nr0:1.1 r1:1.5 r2:1.0 r3:3.2 V:0\nX:\n_p0:10\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:16\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:4\n_p7:1\nY:5.8\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:2\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:3.5\nr0:0.2 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:10\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:400\nY:6.8\nr0:0.3 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.5\nr0:0.2 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:5\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:6.3\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:5\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.0\nr0:0.3 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:16\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.2 r1:0.4 r2:0.3 r3:0.7 V:1\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:10\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:1\nY:6.1\nr0:0.4 r1:0.1 r2:0.1 r3:0.3 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V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:25\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.0\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:16\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.2 r1:0.3 r2:0.2 r3:0.7 V:1\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:8\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:6.9\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:10\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:2\n_p7:400\nY:6.1\nr0:0.4 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:2\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:4\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:10\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:4\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:10\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:8\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:8\n_p7:400\nY:6.3\nr0:0.4 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:25\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:25\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:2\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:25\n_p3:400\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.7\nr0:0.4 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:5.3\nr0:0.1 r1:0.6 r2:0.3 r3:0.6 V:1\nX:\n_p0:1\n_p1:5\n_p2:2\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:3.8\nr0:1.0 r1:1.5 r2:0.9 r3:3.2 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:25\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:8.8\nr0:0.4 r1:0.4 r2:0.3 r3:0.8 V:1\nX:\n_p0:20\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:25\n_p3:10\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:4.4\nr0:0.3 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:25\n_p3:1\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:3.1\nr0:0.2 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:16\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:400\nY:6.3\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:10\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:7.2\nr0:0.3 r1:3.2 r2:1.9 r3:6.5 V:0\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:8\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:5\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:4\n_p7:1\nY:5.6\nr0:0.2 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:4\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:25\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.3 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:3.6\nr0:0.3 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:5\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:16\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:4\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:400\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:1\n_p7:1\nY:7.1\nr0:0.4 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:400\n_p7:1\nY:5.0\nr0:1.1 r1:1.5 r2:1.0 r3:3.2 V:0\nX:\n_p0:32\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:2\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:4.2\nr0:0.2 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:25\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:16\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:4\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:25\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:1\n_p7:1\nY:7.1\nr0:0.3 r1:0.4 r2:0.3 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:400\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:3.5\nr0:0.1 r1:0.3 r2:0.1 r3:0.0 V:1\nX:\n_p0:32\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:8\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:20\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:6.2\nr0:0.9 r1:1.2 r2:0.7 r3:2.6 V:0\nX:\n_p0:2\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:7.9\nr0:0.4 r1:0.9 r2:0.5 r3:1.3 V:0\nX:\n_p0:16\n_p1:16\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:2\n_p7:1\nY:5.9\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:4\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.4\nr0:0.3 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:3.6\nr0:0.1 r1:0.6 r2:0.3 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:20\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:6.7\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:5\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:3.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:7.2\nr0:0.3 r1:2.5 r2:1.5 r3:5.2 V:0\nX:\n_p0:8\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:2\n_p7:400\nY:5.9\nr0:0.3 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:4\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:5\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:4.8\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:8\n_p1:16\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:8\n_p7:1\nY:5.8\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:16\n_p1:32\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:5\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:7.2\nr0:1.2 r1:1.5 r2:0.9 r3:3.2 V:0\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:8\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:1\nY:7.0\nr0:0.3 r1:0.1 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:5\n_p2:10\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:4.6\nr0:1.0 r1:1.5 r2:0.9 r3:3.2 V:0\nX:\n_p0:5\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:2\n_p7:400\nY:5.3\nr0:0.2 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:20\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:7.3\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:10\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:10\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:4\n_p7:1\nY:6.1\nr0:0.4 r1:0.1 r2:0.1 r3:0.3 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:5.7\nr0:0.2 r1:0.0 r2:0.0 r3:0.0 V:1\nTY:5.7\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:20\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[120], double x2[120], double y_1[120], double y_2[120], double A[120][120])\n{\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 120; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 120; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:10\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:10.5\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:10\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.0\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:10\n_p4:c\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:8\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:10.2\nr0:0.2 r1:0.2 r2:0.2 r3:0.3 V:1\nX:\n_p0:1\n_p1:6\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:8\nY:8.8\nr0:0.1 r1:0.7 r2:0.4 r3:1.4 V:0\nX:\n_p0:1\n_p1:12\n_p2:1\n_p3:20\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:10.3\nr0:0.1 r1:0.3 r2:0.2 r3:0.3 V:1\nX:\n_p0:8\n_p1:20\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:4\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:1\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:8\n_p7:120\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:120\n_p7:1\nY:9.5\nr0:0.1 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:4\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.0\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:8\n_p1:1\n_p2:8\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:9.7\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:15\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:120\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:30\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:9.0\nr0:0.0 r1:0.4 r2:0.3 r3:0.8 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:9.2\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:4\n_p1:16\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:8.5\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:3\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:24\n_p4:c\n_p5:o\n_p6:1\n_p7:1\nY:7.3\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:32\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:1\n_p7:1\nY:8.4\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:3\n_p2:20\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:8.0\nr0:0.0 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:4\n_p1:4\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:4\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:120\n_p7:1\nY:9.1\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:20\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:9.5\nr0:0.0 r1:0.8 r2:0.5 r3:1.6 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:20\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:9.4\nr0:0.2 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:6\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:120\n_p7:4\nY:7.9\nr0:0.0 r1:0.0 r2:0.0 r3:0.1 V:1\nX:\n_p0:20\n_p1:4\n_p2:24\n_p3:1\n_p4:c\n_p5:f\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:5\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.4 r2:0.2 r3:0.8 V:1\nX:\n_p0:2\n_p1:1\n_p2:10\n_p3:24\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.4\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:4\n_p1:1\n_p2:1\n_p3:20\n_p4:f\n_p5:c\n_p6:4\n_p7:120\nY:9.8\nr0:0.1 r1:0.4 r2:0.3 r3:0.8 V:1\nX:\n_p0:8\n_p1:1\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:2\n_p7:120\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:6\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:8\nY:8.8\nr0:0.0 r1:1.0 r2:0.6 r3:1.9 V:0\nX:\n_p0:1\n_p1:15\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:120\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:120\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:8.4\nr0:0.1 r1:0.7 r2:0.4 r3:1.0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:8\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:10.5\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:20\n_p4:c\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:2\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:5\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:8\n_p7:1\nY:9.5\nr0:0.0 r1:0.5 r2:0.3 r3:1.0 V:0\nX:\n_p0:8\n_p1:6\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:3\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:4\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:8\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:12\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.3\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:2\n_p1:12\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:8\n_p7:8\nY:9.7\nr0:0.0 r1:1.5 r2:0.9 r3:2.9 V:0\nX:\n_p0:4\n_p1:5\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:8\nY:8.4\nr0:0.0 r1:0.8 r2:0.5 r3:1.7 V:0\nX:\n_p0:3\n_p1:24\n_p2:1\n_p3:20\n_p4:f\n_p5:c\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:12\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:8\n_p7:1\nY:10.2\nr0:0.0 r1:1.4 r2:0.8 r3:2.7 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:8\nY:8.8\nr0:0.1 r1:1.1 r2:0.6 r3:2.1 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:2\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:2\n_p7:2\nY:3.6\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:3\n_p4:c\n_p5:o\n_p6:1\n_p7:1\nY:6.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:32\n_p2:32\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:24\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:10.3\nr0:0.1 r1:0.4 r2:0.4 r3:0.4 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:3\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.8\nr0:0.0 r1:0.0 r2:0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:8.0\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:8\n_p1:1\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:120\n_p7:4\nY:3.6\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:6\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:2\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:20\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:10.3\nr0:0.1 r1:0.4 r2:0.3 r3:0.4 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:4\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:8.2\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:4\n_p1:1\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:1\n_p7:120\nY:9.1\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:30\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:2\nY:8.8\nr0:0.0 r1:0.2 r2:0.1 r3:0.4 V:1\nX:\n_p0:8\n_p1:16\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:4\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:8.1\nr0:0.0 r1:1.0 r2:0.6 r3:1.9 V:0\nX:\n_p0:8\n_p1:4\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:10.1\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:8\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:24\n_p2:1\n_p3:20\n_p4:f\n_p5:c\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:6\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:9.2\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:8\n_p1:2\n_p2:32\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:9.4\nr0:0.1 r1:0.3 r2:0.2 r3:0.4 V:1\nX:\n_p0:4\n_p1:24\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:3\n_p1:1\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:8\n_p7:120\nY:9.6\nr0:0.0 r1:0.4 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:1\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:4\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.0\nr0:0.0 r1:0.0 r2:0 r3:0.0 V:1\nX:\n_p0:4\n_p1:2\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:1\n_p7:1\nY:9.6\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:3\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:2\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:6\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:120\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:3\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:8\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:2\n_p7:8\nY:10.3\nr0:0.0 r1:1.0 r2:0.6 r3:1.8 V:0\nX:\n_p0:1\n_p1:2\n_p2:30\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:8.8\nr0:0.0 r1:0.2 r2:0.1 r3:0.4 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:5\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.0\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:5\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.1\nr0:0.0 r1:0.0 r2:0 r3:0.0 V:1\nX:\n_p0:1\n_p1:20\n_p2:24\n_p3:1\n_p4:c\n_p5:f\n_p6:120\n_p7:1\nY:9.6\nr0:0.0 r1:1.9 r2:1.1 r3:3.9 V:0\nX:\n_p0:2\n_p1:12\n_p2:1\n_p3:30\n_p4:f\n_p5:o\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:20\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:9.9\nr0:0.2 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:8\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:8.8\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:8\n_p1:3\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:4\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:1\n_p2:8\n_p3:30\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:9.2\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:2\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:15\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:8.7\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:6\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:24\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:2\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:10\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:9.3\nr0:0.1 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:6\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.2\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:120\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.9\nr0:0.1 r1:0.4 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:10\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:9.3\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:8\n_p1:8\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:15\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:120\n_p7:1\nY:7.6\nr0:0.1 r1:1.4 r2:0.8 r3:2.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:32\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:8.6\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:3\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:10.2\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:12\n_p2:1\n_p3:12\n_p4:f\n_p5:c\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[200][240],double ey[200][240],double hz[200][240],double _fict_[100])\n{\n  int t;\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 100; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 240; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 0; j < 240; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (i = 0; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n      for (j = 1; j < 240; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 200 - 1; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 240 - 1; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:1\n_p8:o\n_p9:o\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.5 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:2\n_p8:o\n_p9:o\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:2\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.6 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.1\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.5 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:1\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:2\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:32\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:239\n_p7:4\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:8\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.5 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:16\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-0.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:239\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:3\n_p6:1\n_p7:2\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.2\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:200\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:199\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.5 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:10\n_p6:1\n_p7:4\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-3.2\nr0:0.5 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-0.5\nr0:0.2 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:239\n_p7:8\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.2\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:32\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:16\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.6 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:2\n_p8:o\n_p9:f\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:8\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.2 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:199\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:8\n_p8:o\n_p9:o\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:4\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:8\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.4\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:5\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:32\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:1\n_p8:o\n_p9:o\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:2\n_p8:o\n_p9:f\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:c\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.2\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:239\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:199\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:2.0\nr0:0.6 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.4 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:1\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-0.1\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:f\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.8\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:239\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:f\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:32\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.6 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:6\n_p6:1\n_p7:8\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.2\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:32\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.8\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.4\nr0:0.5 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:8\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:4\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.4\nr0:0.5 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:4\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.4\nr0:0.2 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:8\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.3\nr0:0.5 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:2.6\nTV:0\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[400],double x2[400],double y_1[400],double y_2[400],double A[400][400])\n{\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 400; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 400; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n}\n ```\nX:\n_p0:32\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:2\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:2\n_p7:1\nY:0.1\nr0:0.4 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:20\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:1\n_p7:1\nY:7.1\nr0:0.4 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:20\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:4\n_p7:1\nY:6.4\nr0:0.4 r1:0.2 r2:0.2 r3:0.5 V:1\nX:\n_p0:16\n_p1:16\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.1\nr0:0.5 r1:0.1 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:10\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:7.8\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:4\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:2\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:400\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:2\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:7.2\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:400\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:2\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:5.6\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:2\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:6.7\nr0:0.3 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:6.1\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:5\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:6.3\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:5\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.5\nr0:0.2 r1:0.0 r2:0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.3\nr0:0.4 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:2\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:1\nY:1.1\nr0:0.5 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:25\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:8\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:400\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:7.8\nr0:0.4 r1:0.5 r2:0.3 r3:0.8 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:400\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:6.6\nr0:0.5 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:2\nY:4.9\nr0:1.1 r1:1.8 r2:1.1 r3:3.8 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:3.6\nr0:0.1 r1:1.5 r2:0.8 r3:2.6 V:0\nX:\n_p0:1\n_p1:5\n_p2:25\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:4.8\nr0:1.1 r1:1.5 r2:0.9 r3:3.2 V:0\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:4\n_p7:1\nY:5.9\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:4\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:400\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:6.0\nr0:0.2 r1:3.2 r2:2.0 r3:6.4 V:0\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:8\n_p7:1\nY:5.9\nr0:0.4 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:5\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:4.4\nr0:0.8 r1:1.2 r2:0.7 r3:2.6 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:10\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:6.9\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:8\nY:7.9\nr0:0.2 r1:1.2 r2:0.7 r3:1.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:400\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:10\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:4.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:7.2\nr0:0.5 r1:0.3 r2:0.2 r3:0.7 V:1\nX:\n_p0:4\n_p1:16\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:1\nY:6.8\nr0:0.3 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:2\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:10\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:400\nY:6.6\nr0:0.4 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:2\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:4.6\nr0:0.3 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:400\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:10\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:4.9\nr0:0.2 r1:0.3 r2:0.2 r3:0.7 V:1\nX:\n_p0:4\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:16\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:8\n_p7:1\nY:5.8\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:32\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:5\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:5.8\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:2\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:10\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:4.6\nr0:1.0 r1:1.5 r2:0.9 r3:3.2 V:0\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:4.1\nr0:0.1 r1:0.9 r2:0.5 r3:1.3 V:0\nX:\n_p0:5\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:4\n_p7:1\nY:5.6\nr0:0.2 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:4\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:400\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:2\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:3.5\nr0:0.2 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:25\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.3\nr0:0.3 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:2\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:4\n_p7:400\nY:6.3\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:20\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:8\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:25\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:3.5\nr0:0.3 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:2\n_p7:1\nY:5.9\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:400\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:4\n_p7:1\nY:1.1\nr0:0.4 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:400\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:7.9\nr0:0.2 r1:1.6 r2:0.9 r3:2.6 V:0\nX:\n_p0:1\n_p1:25\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:400\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:400\nY:6.8\nr0:0.3 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:5.6\nr0:0.2 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:10\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:7.2\nr0:0.3 r1:3.2 r2:1.9 r3:6.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:4\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:4.8\nr0:0.3 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:5\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:3.9\nr0:0.1 r1:0.0 r2:0 r3:0.0 V:1\nX:\n_p0:20\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:4\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:5.7\nr0:0.2 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:4\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:4.8\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.0\nr0:0.3 r1:0.1 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:4\n_p2:4\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:5.1\nr0:0.1 r1:1.5 r2:0.8 r3:2.6 V:0\nX:\n_p0:20\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:400\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:10\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:6.2\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.4 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:25\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:1\n_p7:400\nY:7.1\nr0:0.3 r1:0.4 r2:0.3 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:4\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.8\nr0:0.3 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:4\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:8\n_p7:1\nY:7.1\nr0:0.3 r1:0.9 r2:0.6 r3:1.2 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:4\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:5.0\nr0:0.4 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:2\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:6.5\nr0:0.5 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:8\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.2 r1:0.3 r2:0.2 r3:0.7 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:400\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:25\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:4.8\nr0:0.6 r1:0.6 r2:0.4 r3:1.3 V:0\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:400\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:10\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:8\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:3.2\nr0:0.2 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:20\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:6.9\nr0:0.4 r1:0.4 r2:0.3 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:3.0\nr0:0.2 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:400\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:5.0\nr0:1.1 r1:1.5 r2:1.0 r3:3.2 V:0\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:2\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:5\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:1\n_p7:400\nY:7.0\nr0:0.3 r1:0.1 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:5.3\nr0:0.1 r1:0.6 r2:0.3 r3:0.6 V:1\nX:\n_p0:1\n_p1:2\n_p2:400\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.9\nr0:0.2 r1:0.9 r2:0.5 r3:1.3 V:0\nTY:5.0\nTV:0\n", "outputs":"### outputs: _p0:1\n_p1:5\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:4\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[400],double x2[400],double y_1[400],double y_2[400],double A[400][400])\n{\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 400; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 400; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n}\n ```\nX:\n_p0:2\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:2\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:5\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:2\n_p7:1\nY:4.9\nr0:1.0 r1:1.5 r2:0.9 r3:3.2 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:3.5\nr0:0.2 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:2\n_p7:1\nY:0.1\nr0:0.4 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:20\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.6\nr0:0.2 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:400\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:400\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:400\nY:6.3\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:20\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:7.3\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:32\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:8\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:8\n_p7:1\nY:5.8\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:32\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:16\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:6.7\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:400\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:2\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:4.2\nr0:0.2 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:7.8\nr0:0.3 r1:2.7 r2:1.6 r3:5.3 V:0\nX:\n_p0:1\n_p1:2\n_p2:20\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:6.3\nr0:0.9 r1:0.7 r2:0.4 r3:1.3 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:7.2\nr0:0.5 r1:0.3 r2:0.2 r3:0.7 V:1\nX:\n_p0:10\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:6.1\nr0:0.1 r1:0.6 r2:0.3 r3:0.6 V:1\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:2\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:4.6\nr0:0.3 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:3.6\nr0:0.1 r1:0.9 r2:0.5 r3:1.3 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:20\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:7.3\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:4\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:7.8\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nTY:7.9\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:400\n_p7:400\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[200][240],double ey[200][240],double hz[200][240],double _fict_[100])\n{\n  int t;\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 100; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 240; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 0; j < 240; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (i = 0; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n      for (j = 1; j < 240; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 200 - 1; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 240 - 1; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:16\n_p2:4\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:8\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.9\nr0:0.6 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.9\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:c\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.2\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:8\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:199\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:199\n_p14:1\n_p15:199\nY:3.4\nr0:0.6 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.3\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:16\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:199\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:16\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:32\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-0.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:8\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:32\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.1\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:2\n_p8:o\n_p9:f\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:4\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-3.3\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:32\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:f\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:16\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:32\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.6 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:239\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.3\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:32\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:5\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.3\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:16\n_p2:199\n_p3:1\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:1\n_p7:239\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:2\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-3.2\nr0:0.9 r1:0.9 r2:0.6 r3:1.0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.3\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nTY:0.6\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:32\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[200][240],double ey[200][240],double hz[200][240],double _fict_[100])\n{\n  int t;\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 100; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 240; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 0; j < 240; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (i = 0; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n      for (j = 1; j < 240; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 200 - 1; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 240 - 1; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:10\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:16\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.6 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:199\n_p3:5\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:1\n_p7:239\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.9\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.4 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:16\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.5 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:1\n_p8:o\n_p9:f\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:8\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-3.2\nr0:0.5 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:10\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:f\n_p9:o\n_p10:o\n_p11:o\n_p12:8\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:100\n_p1:16\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:199\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:2\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:4\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:5\n_p6:1\n_p7:4\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.4\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 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V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:6\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:1\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:16\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:199\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:c\n_p10:o\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:16\n_p8:o\n_p9:o\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.3 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.5 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:239\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.5 r1:0.9 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-0.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:16\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.8\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-3.3\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:20\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:1\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:4\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.5\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:239\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:239\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.2\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:4\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-0.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:2\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:2\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.2 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:199\n_p3:10\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:2.6\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:12\n_p6:1\n_p7:2\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:4\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.4\nr0:0.5 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:2\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-0.1\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:239\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.5 r1:0.9 r2:0.5 r3:0.7 V:0\nTY:1.4\nTV:0\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:32\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[200][240],double ey[200][240],double hz[200][240],double _fict_[100])\n{\n  int t;\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 100; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 240; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 0; j < 240; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (i = 0; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n      for (j = 1; j < 240; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 200 - 1; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 240 - 1; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:12\n_p6:1\n_p7:4\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:4\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:1\n_p4:2\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.5 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:4\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:8\n_p8:o\n_p9:f\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.5 r1:0.6 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:25\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:3\n_p6:1\n_p7:8\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:16\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.6 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.2\nr0:0.1 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.3 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:239\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:6\n_p6:1\n_p7:2\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.2 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.3 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.5 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:239\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.4 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:10\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:f\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:239\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:2.0\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:32\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.7\nr0:0.5 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-3.3\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:16\n_p8:o\n_p9:f\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:8\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:2\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-3.2\nr0:0.9 r1:0.9 r2:0.6 r3:1.0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.9\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:16\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:5\n_p6:1\n_p7:4\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.4\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.6 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.5 r1:0.9 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:32\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:199\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-3.2\nr0:0.9 r1:0.6 r2:0.4 r3:0.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:f\n_p9:o\n_p10:o\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:1\n_p7:239\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:1\n_p7:4\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:1\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.3 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:4\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:5\n_p6:1\n_p7:8\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-0.0\nr0:0.1 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:8\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:10\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.4 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:25\n_p1:16\n_p2:199\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.6 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:10\n_p1:16\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-3.3\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:10\n_p6:1\n_p7:239\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:6\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:25\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:f\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:25\n_p1:1\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:16\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.6\nr0:0.5 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.5 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:32\n_p1:16\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.5 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:239\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:6\n_p6:1\n_p7:4\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.5 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.5 r1:0.9 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-3.3\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:f\n_p10:c\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:32\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.1\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:6\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:2.0\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:199\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:-0.4\nr0:0.3 r1:0.1 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:4\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.5 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.5\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:3\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:8\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.4\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:5\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:16\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.6 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:239\n_p8:o\n_p9:f\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.5\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-0.3\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:10\n_p6:1\n_p7:16\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:2.1\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nTY:0.4\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:32\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_syr2k(double alpha,double beta,double C[80][80],double A[80][60],double B[80][60])\n{\n  int i;\n  int j;\n  int k;\n//BLAS PARAMS\n//UPLO  = 'L'\n//TRANS = 'N'\n//A is NxM\n//B is NxM\n//C is NxN\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      if (j <= i) {\n        C[i][j] *= beta;\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p5}\n    \n#pragma ACCEL TILE FACTOR=auto{_p7}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (k = 0; k < 60; k++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        if (j <= i) {\n          C[i][j] += A[j][k] * alpha * B[i][k] + B[j][k] * alpha * A[i][k];\n        }\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:60\nY:7.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:2\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:2.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:2\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:3\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:2\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.1 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:3\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:2\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:2.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:8\n_p2:2\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:5\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:5.9\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:6\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.7\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:5\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:5\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:2\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:10\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.4\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:4.3\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:3\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:4\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:8\nY:6.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:6.0\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:4\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:5.7\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.5\nr0:0.0 r1:0.3 r2:0.2 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:6.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:4\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.3\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:10\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:6\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.8\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:16\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:2\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:6\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:5.1\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:5.4\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:4\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.1 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:6\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:6.5\nr0:0.0 r1:0.3 r2:0.5 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nTY:7.7\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:4\n_p2:2\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[200][240],double ey[200][240],double hz[200][240],double _fict_[100])\n{\n  int t;\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 100; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 240; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 0; j < 240; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (i = 0; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n      for (j = 1; j < 240; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 200 - 1; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 240 - 1; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-0.3\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:2\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.9\nr0:0.5 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:1\n_p7:2\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:239\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:32\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.4\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:2\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:16\n_p2:199\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:16\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.6 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:239\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:5\n_p6:1\n_p7:2\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:4\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:32\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:5\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:199\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:199\n_p3:2\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:8\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.3\nr0:0.5 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:239\n_p8:o\n_p9:o\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.5 r1:0.9 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:3\n_p6:1\n_p7:239\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:2.6\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:8\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:5\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:2\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.2\nr0:0.5 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:1\n_p7:4\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:32\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:f\n_p9:o\n_p10:o\n_p11:o\n_p12:2\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:32\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:2.0\nr0:0.6 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:1\n_p6:1\n_p7:32\n_p8:o\n_p9:f\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:1\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.0\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:10\n_p6:1\n_p7:239\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.1\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:2\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.9\nr0:0.5 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:10\n_p6:1\n_p7:4\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:16\n_p8:o\n_p9:f\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:32\n_p7:239\n_p8:o\n_p9:o\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-0.5\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:239\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:1.3\nTV:0\n", "outputs":"### outputs: _p0:1\n_p1:32\n_p2:2\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[200][240],double ey[200][240],double hz[200][240],double _fict_[100])\n{\n  int t;\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 100; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 240; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 0; j < 240; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (i = 0; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n      for (j = 1; j < 240; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 200 - 1; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 240 - 1; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.3 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:3\n_p6:1\n_p7:2\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.2\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:10\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:2\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.5 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:3\n_p6:1\n_p7:8\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:5\n_p6:1\n_p7:4\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.4\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.4 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:4\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-0.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:32\n_p7:1\n_p8:o\n_p9:o\n_p10:c\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.5 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:239\n_p7:16\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.2\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:2\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.6 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:16\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:1\n_p7:4\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.6\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:4\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:100\n_p1:16\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:4\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:239\n_p7:1\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:10\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:199\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:239\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.1 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:199\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:2\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:2\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:0\nX:\n_p0:1\n_p1:32\n_p2:199\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:32\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:2.0\nr0:0.6 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:16\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:32\n_p3:1\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:1\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:199\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.5 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:2\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.9\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:o\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:2\n_p8:o\n_p9:o\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:32\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:1.0\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_trmm(double alpha,double A[60][60],double B[60][80])\n{\n//BLAS parameters\n//SIDE   = 'L'\n//UPLO   = 'L'\n//TRANSA = 'T'\n//DIAG   = 'U'\n// => Form  B := alpha*A**T*B.\n// A is MxM\n// B is MxN\n  \n#pragma ACCEL PIPELINE auto{_p3}\n  \n#pragma ACCEL TILE FACTOR=auto{_p5}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (int i = 0; i < 60; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p4}\n    \n#pragma ACCEL TILE FACTOR=auto{_p6}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (int j = 0; j < 80; j++) {\n      \n#pragma ACCEL PARALLEL reduction=B FACTOR=auto{_p2}\n      for (int k = 0; k < 60; k++) {\n        if (k > i) {\n          B[i][j] += A[k][i] * B[k][j];\n        }\n      }\n      B[i][j] = alpha * B[i][j];\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:8\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:5\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:o\n_p4:c\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:20\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:15\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:6\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:5\n_p2:30\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:2\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:10\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:32\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:4\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:20\n_p2:3\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:3\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:5\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:8\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:30\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 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V:0\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:10\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:12\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:2\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:5\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:20\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:32\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:3\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:80\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:32\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:10\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.2\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:16\n_p2:16\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:1.2\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:80\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[200][240],double ey[200][240],double hz[200][240],double _fict_[100])\n{\n  int t;\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 100; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 240; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 0; j < 240; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (i = 0; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n      for (j = 1; j < 240; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 200 - 1; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 240 - 1; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n}\n ```\nX:\n_p0:5\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:f\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:199\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:16\n_p2:199\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.6 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:16\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:32\n_p7:4\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-0.5\nr0:0.2 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:200\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:199\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:5\n_p6:1\n_p7:2\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.2\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:239\n_p7:1\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:239\n_p8:o\n_p9:f\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:6\n_p6:1\n_p7:239\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.5\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:8\n_p1:32\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:239\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.4\nr0:0.2 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-0.5\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:2\n_p8:o\n_p9:o\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:2\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-3.2\nr0:0.9 r1:0.9 r2:0.6 r3:1.0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:239\n_p7:2\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:f\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:1\n_p7:8\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.2\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-3.3\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.5 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.5 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:1\n_p7:16\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.5 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:4\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.6 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.4 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:16\n_p3:1\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.9\nr0:0.1 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:4\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:1\n_p7:32\n_p8:o\n_p9:f\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:12\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-3.2\nr0:0.5 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-0.2\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:239\n_p8:o\n_p9:f\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:c\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:0.1\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:16\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[120], double x2[120], double y_1[120], double y_2[120], double A[120][120])\n{\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 120; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 120; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:12\n_p2:1\n_p3:24\n_p4:f\n_p5:c\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:16\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:10\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:8.3\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:8\n_p1:6\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:24\n_p2:1\n_p3:2\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:10.8\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:15\n_p1:1\n_p2:1\n_p3:20\n_p4:f\n_p5:c\n_p6:1\n_p7:120\nY:9.9\nr0:0.1 r1:1.4 r2:0.8 r3:2.9 V:0\nX:\n_p0:1\n_p1:15\n_p2:1\n_p3:30\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:8.4\nr0:0.1 r1:0.4 r2:0.3 r3:0.4 V:1\nX:\n_p0:1\n_p1:10\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:120\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:24\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:9.5\nr0:0.1 r1:2.3 r2:1.4 r3:4.6 V:0\nX:\n_p0:8\n_p1:8\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:4\n_p2:32\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:8\nY:9.2\nr0:0.1 r1:0.6 r2:0.4 r3:1.0 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V:1\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:1\n_p4:c\n_p5:o\n_p6:1\n_p7:1\nY:6.3\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:4\nY:10.6\nr0:0.1 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:8\n_p1:1\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:120\n_p7:4\nY:8.0\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:8\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:3\n_p2:32\n_p3:1\n_p4:c\n_p5:f\n_p6:8\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:3\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:4\nY:10.6\nr0:0.1 r1:0.9 r2:0.6 r3:1.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:6\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:10\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:1\n_p7:4\nY:8.6\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 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V:0\nX:\n_p0:4\n_p1:1\n_p2:10\n_p3:10\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.3\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:4\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:9.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:16\n_p1:1\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:6\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.1\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:4\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:4\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:5\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:8\n_p7:1\nY:8.4\nr0:0.0 r1:0.7 r2:0.4 r3:1.4 V:0\nX:\n_p0:8\n_p1:20\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:9.0\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:24\n_p3:15\n_p4:o\n_p5:c\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[60][80],double ey[60][80],double hz[60][80],double _fict_[40])\n{\n  int t;\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 40; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 60; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 60; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 1; j < 80; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n    for (i = 0; i < 59; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 79; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:59\n_p14:60\n_p15:8\nY:3.5\nr0:0.0 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.7\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:16\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.8\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.1 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:f\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:9.3\nr0:0.0 r1:0.4 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:4\n_p3:1\n_p4:2\n_p5:1\n_p6:1\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:59\nY:5.3\nr0:0.0 r1:0.9 r2:0.6 r3:0.6 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:59\nY:5.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:16\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.1 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.7\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:8\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.7\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:16\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.0 r1:0.2 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:30\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.7\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 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V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:79\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:2.9\nr0:0.0 r1:0.5 r2:0.2 r3:0.4 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:8\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.2\nr0:0.0 r1:0.2 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:59\n_p14:60\n_p15:8\nY:3.1\nr0:0.1 r1:0.8 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:16\n_p2:4\n_p3:1\n_p4:2\n_p5:1\n_p6:59\n_p7:2\n_p8:c\n_p9:f\n_p10:f\n_p11:o\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:79\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.1\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:79\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.6\nr0:0.0 r1:1.3 r2:0.7 r3:0.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:8.1\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:2\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:59\n_p14:1\n_p15:1\nY:7.9\nr0:0.0 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:16\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:20\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:59\n_p14:60\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:2\n_p3:1\n_p4:2\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.0 r1:0.5 r2:0.3 r3:0.4 V:1\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:60\n_p15:1\nY:6.6\nr0:0.0 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:79\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.5\nr0:0.0 r1:0.6 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:30\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:59\n_p14:60\n_p15:1\nY:1.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:1\n_p8:o\n_p9:f\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:8.1\nr0:0.0 r1:1.3 r2:0.7 r3:0.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.6\nr0:0.0 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:4\n_p3:1\n_p4:2\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.0 r1:0.8 r2:0.5 r3:0.6 V:1\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:32\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:79\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.6\nr0:0.0 r1:0.6 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:79\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.7\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:79\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:2.9\nr0:0.0 r1:0.5 r2:0.2 r3:0.4 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:16\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:2\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:2\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:59\n_p14:1\n_p15:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:10\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:16\n_p4:1\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.6\nr0:0.0 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:32\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.0 r1:0.2 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.5\nr0:0.0 r1:1.3 r2:0.7 r3:0.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:1\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:8.0\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:59\n_p14:60\n_p15:1\nY:7.9\nr0:0.0 r1:0.7 r2:0.4 r3:0.5 V:1\nTY:3.5\nTV:0\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:79\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:8\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_syr2k(double alpha,double beta,double C[80][80],double A[80][60],double B[80][60])\n{\n  int i;\n  int j;\n  int k;\n//BLAS PARAMS\n//UPLO  = 'L'\n//TRANS = 'N'\n//A is NxM\n//B is NxM\n//C is NxN\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      if (j <= i) {\n        C[i][j] *= beta;\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p5}\n    \n#pragma ACCEL TILE FACTOR=auto{_p7}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (k = 0; k < 60; k++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        if (j <= i) {\n          C[i][j] += A[j][k] * alpha * B[i][k] + B[j][k] * alpha * A[i][k];\n        }\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:10\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:2\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:6.5\nr0:0.0 r1:0.3 r2:0.5 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:2\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:4\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:6.0\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:5.9\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:2.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:8\n_p2:6\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.4\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:3\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:4\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.2\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:2\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:2\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.2\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.4\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:3\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:20\n_p1:1\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:6.4\nr0:0.0 r1:0.3 r2:0.2 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:32\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:6\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.1 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:5\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.5\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.9\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:8\nY:6.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:1\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:10\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:2\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:8\nY:6.2\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:5.1\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:4\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 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V:0\nX:\n_p0:1\n_p1:2\n_p2:4\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:3\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:8\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:4\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:5.7\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:3\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:6\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.5\nr0:0.0 r1:0.3 r2:0.2 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:6\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:7.6\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:2\n_p2:2\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[120], double x2[120], double y_1[120], double y_2[120], double A[120][120])\n{\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 120; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 120; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:3\n_p2:32\n_p3:1\n_p4:c\n_p5:f\n_p6:120\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:30\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:1\n_p2:10\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.3\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:24\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:1\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:8\n_p7:120\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:30\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:120\n_p7:2\nY:8.2\nr0:0.0 r1:0.2 r2:0.1 r3:0.4 V:1\nX:\n_p0:4\n_p1:8\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:2\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:32\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:8\n_p7:1\nY:9.5\nr0:0.0 r1:0.3 r2:0.2 r3:0.4 V:1\nX:\n_p0:4\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:8\n_p7:120\nY:11.1\nr0:0.0 r1:0.6 r2:0.3 r3:1.0 V:0\nX:\n_p0:8\n_p1:4\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:6\n_p4:c\n_p5:o\n_p6:1\n_p7:1\nY:7.4\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:30\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:3\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:4\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:6\n_p2:1\n_p3:20\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:9.3\nr0:0.1 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:2\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:120\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.4\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:2\n_p1:12\n_p2:1\n_p3:20\n_p4:f\n_p5:c\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:12\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:15\n_p2:1\n_p3:2\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:8.1\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:4\n_p1:1\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:2\n_p7:120\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:120\n_p7:1\nY:9.0\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:20\n_p4:c\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:3\n_p2:1\n_p3:120\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:8.4\nr0:0.1 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:20\n_p1:2\n_p2:24\n_p3:1\n_p4:c\n_p5:f\n_p6:2\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:5\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:8\nY:7.6\nr0:0.0 r1:0.5 r2:0.3 r3:1.0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:15\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:16\n_p4:f\n_p5:o\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:1\nX:\n_p0:1\n_p1:12\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:10\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:8.9\nr0:0.2 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:10\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:8.4\nr0:0.0 r1:1.0 r2:0.6 r3:1.9 V:0\nX:\n_p0:1\n_p1:8\n_p2:6\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:8.4\nr0:0.0 r1:0.8 r2:0.4 r3:1.5 V:0\nX:\n_p0:4\n_p1:16\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:4\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.4\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:1\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:6.8\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:8\n_p1:2\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:120\n_p7:1\nY:8.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:10\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.0\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:3\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:120\n_p7:4\nY:8.4\nr0:0.1 r1:0.4 r2:0.2 r3:0.8 V:1\nX:\n_p0:8\n_p1:8\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:24\n_p2:1\n_p3:20\n_p4:f\n_p5:o\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:15\n_p4:c\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:32\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:10\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:12\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:120\n_p7:1\nY:8.9\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:8\n_p1:5\n_p2:32\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:8\nY:7.6\nr0:0.0 r1:0.5 r2:0.3 r3:1.0 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V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:30\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.2\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:12\n_p2:1\n_p3:8\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:10.2\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:8\n_p1:5\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:1\n_p7:4\nY:7.6\nr0:0.1 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:8\n_p1:3\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:8\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:6\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:6\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.9\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:30\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:4\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:8.2\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nTY:7.3\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:3\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_covariance(int m,int n,double float_n,double data[100][80],double cov[80][80],double mean[80])\n{\n  int i;\n  int j;\n  int k;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p6}\n  \n#pragma ACCEL TILE FACTOR=auto{_p10}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (j = 0; j < 80; j++) {\n    mean[j] = 0.0;\n    \n#pragma ACCEL PARALLEL reduction=mean FACTOR=auto{_p3}\n    for (i = 0; i < 100; i++) {\n      mean[j] += data[i][j];\n    }\n    mean[j] /= float_n;\n  }\n  \n#pragma ACCEL PIPELINE auto{_p7}\n  \n#pragma ACCEL TILE FACTOR=auto{_p11}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 100; i++) {\n    \n#pragma ACCEL PARALLEL reduction=data FACTOR=auto{_p4}\n    for (j = 0; j < 80; j++) {\n      data[i][j] -= mean[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    for (j = i; j < 80; j++) {\n      cov[i][j] = 0.0;\n      \n#pragma ACCEL PARALLEL reduction=cov FACTOR=auto{_p5}\n      for (k = 0; k < 100; k++) {\n        cov[i][j] += data[k][i] * data[k][j];\n      }\n      cov[i][j] /= float_n - 1.0;\n      cov[j][i] = cov[i][j];\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:16\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.5\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:25\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.0\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:1\n_p5:4\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:100\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:5.0\nr0:0.1 r1:0.4 r2:0.2 r3:0.1 V:1\nTY:4.6\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:32\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[120], double x2[120], double y_1[120], double y_2[120], double A[120][120])\n{\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 120; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 120; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:8\n_p1:15\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:8\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:2\n_p4:c\n_p5:o\n_p6:1\n_p7:1\nY:6.9\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:12\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:9.3\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.0\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:10\n_p1:1\n_p2:1\n_p3:20\n_p4:f\n_p5:c\n_p6:8\n_p7:120\nY:9.8\nr0:0.1 r1:0.7 r2:0.5 r3:1.8 V:0\nX:\n_p0:4\n_p1:1\n_p2:10\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:1\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:3\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:1\n_p7:2\nY:6.8\nr0:0.1 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:120\n_p3:2\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.8\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:8\n_p1:2\n_p2:32\n_p3:1\n_p4:c\n_p5:f\n_p6:4\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:10\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:4\n_p7:8\nY:8.6\nr0:0.0 r1:1.1 r2:0.7 r3:2.1 V:0\nX:\n_p0:1\n_p1:2\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:120\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:24\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:10.0\nr0:0.2 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:20\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:9.6\nr0:0.2 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:3\n_p2:1\n_p3:3\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:8.0\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:16\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:24\n_p2:1\n_p3:6\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:11.0\nr0:0.2 r1:0.2 r2:0.1 r3:0.3 V:1\nX:\n_p0:1\n_p1:30\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:120\n_p7:1\nY:8.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:4\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:2\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:4\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:8\n_p3:24\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:9.7\nr0:0.2 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:20\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:8.9\nr0:0.0 r1:1.9 r2:1.1 r3:3.9 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:8\n_p7:1\nY:9.1\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:120\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:120\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:3\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nTY:6.6\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:6\n_p3:1\n_p4:o\n_p5:o\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[400],double x2[400],double y_1[400],double y_2[400],double A[400][400])\n{\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 400; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 400; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:25\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:400\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:16\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:8\n_p7:1\nY:5.8\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:10\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:2\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:10\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:400\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:6.4\nr0:0.2 r1:0.3 r2:0.1 r3:0.0 V:1\nX:\n_p0:8\n_p1:16\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.0\nr0:0.3 r1:0.1 r2:0.1 r3:0.1 V:1\nX:\n_p0:16\n_p1:5\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:2\n_p7:8\nY:4.9\nr0:1.0 r1:1.5 r2:0.9 r3:3.2 V:0\nX:\n_p0:1\n_p1:4\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:5\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:7.9\nr0:0.2 r1:0.6 r2:0.3 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:4.5\nr0:0.1 r1:0.6 r2:0.3 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:25\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.0\nr0:0.3 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:5\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:4\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:5.0\nr0:1.1 r1:1.5 r2:1.0 r3:3.2 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:400\n_p7:1\nY:8.0\nr0:0.2 r1:2.6 r2:1.6 r3:5.1 V:0\nX:\n_p0:25\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:1\nY:6.3\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:5\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:2\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:1\nX:\n_p0:16\n_p1:5\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:2\n_p7:1\nY:4.9\nr0:1.0 r1:1.5 r2:0.9 r3:3.2 V:0\nX:\n_p0:1\n_p1:400\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:5\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:1\n_p7:400\nY:7.0\nr0:0.3 r1:0.1 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:25\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:5.7\nr0:0.3 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:400\nY:5.7\nr0:0.5 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.6\nr0:0.2 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:5\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:8\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:5.9\nr0:0.2 r1:0.4 r2:0.2 r3:0.7 V:1\nX:\n_p0:1\n_p1:5\n_p2:16\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:4.7\nr0:1.1 r1:1.5 r2:0.9 r3:3.2 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:5.7\nr0:0.2 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:5\n_p2:20\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:4.8\nr0:1.1 r1:1.5 r2:0.9 r3:3.2 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:1\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:3.5\nr0:0.3 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:20\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:8\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:3.6\nr0:0.1 r1:1.5 r2:0.8 r3:2.6 V:0\nX:\n_p0:32\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:400\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:7.9\nr0:0.2 r1:1.6 r2:0.9 r3:2.6 V:0\nX:\n_p0:16\n_p1:32\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:5\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.0\nr0:0.1 r1:0.0 r2:0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:25\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:4.5\nr0:0.3 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:20\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.4 r1:0.4 r2:0.3 r3:0.7 V:1\nX:\n_p0:20\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:16\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:8\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:4.2\nr0:0.2 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.2\nr0:0.2 r1:0.0 r2:0.0 r3:0.0 V:1\nTY:7.9\nTV:0\n", "outputs":"### outputs: _p0:1\n_p1:4\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_trmm(double alpha,double A[60][60],double B[60][80])\n{\n//BLAS parameters\n//SIDE   = 'L'\n//UPLO   = 'L'\n//TRANSA = 'T'\n//DIAG   = 'U'\n// => Form  B := alpha*A**T*B.\n// A is MxM\n// B is MxN\n  \n#pragma ACCEL PIPELINE auto{_p3}\n  \n#pragma ACCEL TILE FACTOR=auto{_p5}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (int i = 0; i < 60; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p4}\n    \n#pragma ACCEL TILE FACTOR=auto{_p6}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (int j = 0; j < 80; j++) {\n      double sum = B[i][j];\n#pragma ACCEL PARALLEL reduction=sum FACTOR=auto{_p2}\n      for (int k = 0; k < 60; k++) {\n        if (k > i) {\n          sum += A[k][i] * B[k][j];\n        }\n      }\n      B[i][j] = alpha * sum;\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:4\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:0\nX:\n_p0:1\n_p1:4\n_p2:3\n_p3:o\n_p4:c\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:o\n_p4:o\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:3.9\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:3\n_p1:4\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:4.2\nr0:0.0 r1:0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:4.3\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:4.9\nr0:0.1 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:4\n_p2:16\n_p3:o\n_p4:c\n_p5:60\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:8\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:4.0\nr0:0.0 r1:0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:16\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:8.7\nr0:0.0 r1:0.9 r2:0.6 r3:1.5 V:0\nX:\n_p0:3\n_p1:4\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.6\nr0:0.0 r1:0.7 r2:5.0 r3:1.1 V:0\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:o\n_p4:c\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.7\nr0:0 r1:1.1 r2:3.6 r3:1.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:c\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:80\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:4.5\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:5\n_p2:3\n_p3:o\n_p4:o\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:o\n_p4:c\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:c\n_p5:60\n_p6:1\nY:10.1\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:4\n_p2:60\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:8.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.4 V:1\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:4.5\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:30\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:2\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:4.2\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:20\n_p2:10\n_p3:o\n_p4:o\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:60\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:3.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:20\n_p2:5\n_p3:o\n_p4:o\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:12\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.0\nr0:0.0 r1:4.2 r2:17.6 r3:8.4 V:0\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.6\nr0:0 r1:1.2 r2:0.7 r3:1.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:5.0\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:o\n_p4:o\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:8.2\nr0:0.0 r1:0.3 r2:0.2 r3:0.5 V:1\nX:\n_p0:4\n_p1:2\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.5\nr0:0.0 r1:0.5 r2:6.7 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:4.9\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:20\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:4\nY:8.6\nr0:0 r1:1.2 r2:0.7 r3:1.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:4.9\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:5.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:4.2\nr0:0.0 r1:0 r2:0 r3:0 V:1\nX:\n_p0:3\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.8\nr0:0.0 r1:1.2 r2:5.3 r3:2.3 V:0\nX:\n_p0:1\n_p1:80\n_p2:16\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:4\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:4\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.2\nr0:0.0 r1:0.9 r2:7.0 r3:1.5 V:0\nX:\n_p0:1\n_p1:2\n_p2:30\n_p3:o\n_p4:o\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:8.5\nr0:0 r1:0.6 r2:0.3 r3:1.0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:4.8\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:5.0\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:4.9\nr0:0.1 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:o\n_p4:c\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:4\nY:8.6\nr0:0 r1:1.2 r2:0.7 r3:1.9 V:0\nTY:5.1\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:30\n_p3:o\n_p4:o\n_p5:60\n_p6:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[400],double x2[400],double y_1[400],double y_2[400],double A[400][400])\n{\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 400; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 400; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n}\n ```\nX:\n_p0:32\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:25\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:8.6\nr0:0.2 r1:0.4 r2:0.3 r3:0.7 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:25\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:4.3\nr0:0.3 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:6.1\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:8\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:7.7\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:400\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:32\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:25\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.5\nr0:0.4 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:5\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:3.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nTY:4.2\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:5\n_p3:25\n_p4:o\n_p5:c\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[60][80],double ey[60][80],double hz[60][80],double _fict_[40])\n{\n  int t;\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 40; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 60; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 60; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 1; j < 80; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n    for (i = 0; i < 59; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 79; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:20\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.1\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:59\n_p3:16\n_p4:5\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:4\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:2\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.6\nr0:0.0 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:79\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:0\nX:\n_p0:1\n_p1:1\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.7\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:16\n_p4:1\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:8.5\nr0:0.0 r1:0.4 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.1\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:20\n_p1:16\n_p2:1\n_p3:16\n_p4:4\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:59\n_p14:1\n_p15:59\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:c\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:4\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:8.9\nr0:0.0 r1:0.7 r2:0.3 r3:0.6 V:1\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:60\n_p15:8\nY:3.1\nr0:0.1 r1:2.4 r2:1.2 r3:2.6 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:8\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:16\n_p2:1\n_p3:1\n_p4:2\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:32\n_p1:16\n_p2:59\n_p3:16\n_p4:2\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:4\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:8\n_p15:59\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:8\nY:3.0\nr0:0.1 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:79\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:2.9\nr0:0.0 r1:0.5 r2:0.2 r3:0.4 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:79\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:8\nY:3.5\nr0:0.0 r1:1.4 r2:0.6 r3:1.2 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.5\nr0:0.0 r1:0.6 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:79\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.5\nr0:0.0 r1:1.3 r2:0.7 r3:0.9 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:4\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:2\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.0 r1:0.4 r2:0.2 r3:0.3 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:79\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:59\n_p14:60\n_p15:59\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:79\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.5\nr0:0.0 r1:0.6 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:79\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nTY:4.6\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[400],double x2[400],double y_1[400],double y_2[400],double A[400][400])\n{\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 400; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 400; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n}\n ```\nX:\n_p0:8\n_p1:16\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.0\nr0:0.3 r1:0.1 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:400\n_p7:1\nY:7.9\nr0:0.2 r1:0.9 r2:0.5 r3:1.3 V:0\nX:\n_p0:10\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:2\n_p7:1\nY:5.7\nr0:0.4 r1:0.1 r2:0.1 r3:0.3 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:5\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:7.3\nr0:0.2 r1:0.3 r2:0.2 r3:0.7 V:1\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:25\n_p3:4\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:4.1\nr0:0.2 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:32\n_p1:1\n_p2:16\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:1.0 r2:0.5 r3:0.9 V:0\nX:\n_p0:10\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:4\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:7.2\nr0:0.4 r1:0.3 r2:0.2 r3:0.7 V:1\nX:\n_p0:16\n_p1:16\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.1\nr0:0.5 r1:0.1 r2:0.1 r3:0.1 V:1\nX:\n_p0:16\n_p1:25\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:16\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:7.0\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:400\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:32\n_p1:16\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:1\nY:7.0\nr0:0.3 r1:0.4 r2:0.2 r3:0.3 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:5\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:5.5\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:25\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:1\n_p7:400\nY:7.1\nr0:0.3 r1:0.4 r2:0.3 r3:0.2 V:1\nX:\n_p0:25\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:8\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:20\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:5.9\nr0:0.4 r1:0.4 r2:0.3 r3:0.7 V:1\nX:\n_p0:2\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:2\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:3.9\nr0:0.2 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:2\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:6.5\nr0:0.5 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:400\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.3\nr0:0.2 r1:0.0 r2:0.0 r3:0.0 V:1\nTY:7.6\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:16\n_p2:1\n_p3:5\n_p4:f\n_p5:c\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[120], double x2[120], double y_1[120], double y_2[120], double A[120][120])\n{\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 120; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 120; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:30\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:12\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:9.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.4 V:1\nX:\n_p0:1\n_p1:15\n_p2:1\n_p3:2\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:8.1\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:16\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:9.6\nr0:0.0 r1:1.6 r2:1.0 r3:3.1 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:120\n_p7:1\nY:11.3\nr0:0.1 r1:0.5 r2:0.3 r3:0.8 V:1\nX:\n_p0:1\n_p1:4\n_p2:24\n_p3:1\n_p4:c\n_p5:f\n_p6:120\n_p7:4\nY:9.7\nr0:0.0 r1:0.6 r2:0.3 r3:0.8 V:1\nX:\n_p0:8\n_p1:1\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:6\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.8\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:3\n_p2:32\n_p3:1\n_p4:c\n_p5:f\n_p6:120\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:8\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:30\n_p4:c\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:24\n_p2:1\n_p3:15\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:11.2\nr0:0.1 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:8\n_p1:32\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:15\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:120\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:6\n_p2:6\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:8.4\nr0:0.0 r1:0.6 r2:0.3 r3:1.2 V:0\nX:\n_p0:8\n_p1:1\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:2\n_p7:120\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:12\n_p2:1\n_p3:20\n_p4:f\n_p5:c\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:24\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:9.6\nr0:0.0 r1:1.6 r2:1.0 r3:3.1 V:0\nX:\n_p0:1\n_p1:6\n_p2:24\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:8.8\nr0:0.0 r1:0.6 r2:0.3 r3:1.2 V:0\nX:\n_p0:2\n_p1:3\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:4\n_p7:2\nY:8.2\nr0:0.0 r1:0.3 r2:0.2 r3:0.6 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V:1\nX:\n_p0:8\n_p1:16\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:9.1\nr0:0.0 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:12\n_p2:1\n_p3:20\n_p4:f\n_p5:c\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:24\n_p2:1\n_p3:20\n_p4:f\n_p5:c\n_p6:8\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:10\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:4\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:10\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:8.3\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:4\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:2\n_p2:32\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:30\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:8.8\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:10\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:9.6\nr0:0.0 r1:1.0 r2:0.6 r3:2.0 V:0\nX:\n_p0:1\n_p1:2\n_p2:3\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.4 V:1\nX:\n_p0:1\n_p1:6\n_p2:12\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:8.7\nr0:0.0 r1:0.6 r2:0.4 r3:1.2 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:4\n_p4:c\n_p5:o\n_p6:1\n_p7:1\nY:7.0\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:2\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:16\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:3\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:4\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:1\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:12\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:120\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:120\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:3\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.5 r2:0.3 r3:1.0 V:0\nX:\n_p0:8\n_p1:12\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:24\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:6\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:1\n_p2:12\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.8\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:8\n_p1:30\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:8\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:5\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.5 r2:0.3 r3:1.0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:30\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:8.3\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:3\n_p2:4\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:2\n_p1:24\n_p2:1\n_p3:20\n_p4:f\n_p5:c\n_p6:4\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:1\n_p2:8\n_p3:30\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:9.2\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:2\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:8\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:15\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:4\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:4\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:8\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:120\n_p3:3\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:8.3\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:1\n_p2:10\n_p3:30\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.5\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:10\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:8\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:8\n_p7:1\nY:9.5\nr0:0.0 r1:0.3 r2:0.2 r3:0.4 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:8\n_p7:120\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:32\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:12\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:8\n_p7:1\nY:10.2\nr0:0.0 r1:1.4 r2:0.8 r3:2.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:120\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.3\nr0:0.1 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:8\n_p1:12\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.3\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:3\n_p2:32\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:7.3\nTV:1\n", "outputs":"### outputs: _p0:8\n_p1:3\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:1\n_p7:4\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_trmm(double alpha,double A[60][60],double B[60][80])\n{\n//BLAS parameters\n//SIDE   = 'L'\n//UPLO   = 'L'\n//TRANSA = 'T'\n//DIAG   = 'U'\n// => Form  B := alpha*A**T*B.\n// A is MxM\n// B is MxN\n  \n#pragma ACCEL PIPELINE auto{_p3}\n  \n#pragma ACCEL TILE FACTOR=auto{_p5}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (int i = 0; i < 60; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p4}\n    \n#pragma ACCEL TILE FACTOR=auto{_p6}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (int j = 0; j < 80; j++) {\n      double sum = B[i][j];\n#pragma ACCEL PARALLEL reduction=sum FACTOR=auto{_p2}\n      for (int k = 0; k < 60; k++) {\n        if (k > i) {\n          sum += A[k][i] * B[k][j];\n        }\n      }\n      B[i][j] = alpha * sum;\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:o\n_p4:f\n_p5:2\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:o\n_p4:o\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:5.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:5\n_p2:5\n_p3:o\n_p4:o\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:6\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.1\nr0:0 r1:2.3 r2:11.0 r3:4.4 V:0\nX:\n_p0:1\n_p1:5\n_p2:30\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:8.6\nr0:0 r1:1.2 r2:0.7 r3:1.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:4.8\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:32\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:10.1\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:3.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:5.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 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V:1\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:8.5\nr0:0 r1:0.6 r2:0.3 r3:1.0 V:0\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:4\nY:8.6\nr0:0 r1:1.2 r2:0.7 r3:1.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:4.8\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:5\n_p2:32\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:o\n_p4:o\n_p5:8\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:8.7\nr0:0.0 r1:0.9 r2:0.6 r3:1.5 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.7\nr0:0.0 r1:0.9 r2:0.6 r3:1.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:4.4\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:3\n_p1:4\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:8.6\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:4\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[120], double x2[120], double y_1[120], double y_2[120], double A[120][120])\n{\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 120; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 120; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:3\n_p2:30\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:8.2\nr0:0.0 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:5\n_p1:1\n_p2:1\n_p3:30\n_p4:f\n_p5:c\n_p6:1\n_p7:120\nY:10.1\nr0:0.0 r1:0.5 r2:0.3 r3:1.0 V:0\nX:\n_p0:1\n_p1:10\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:120\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:3\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:120\n_p7:8\nY:8.4\nr0:0.1 r1:0.4 r2:0.2 r3:0.8 V:1\nX:\n_p0:1\n_p1:30\n_p2:24\n_p3:1\n_p4:c\n_p5:f\n_p6:120\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:3\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:2\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:8\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:2\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:120\n_p7:4\nY:9.2\nr0:0.1 r1:0.6 r2:0.3 r3:0.8 V:0\nX:\n_p0:8\n_p1:32\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:12\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.9\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:4\n_p1:2\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:8\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:3\n_p1:12\n_p2:1\n_p3:30\n_p4:f\n_p5:c\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:10\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:8\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:1\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:8\n_p7:120\nY:9.6\nr0:0.0 r1:0.5 r2:0.3 r3:1.0 V:0\nX:\n_p0:4\n_p1:1\n_p2:8\n_p3:10\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:6\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:2\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:16\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:5\n_p2:24\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:8.4\nr0:0.0 r1:0.8 r2:0.6 r3:1.2 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:5\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:8.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:15\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.6\nr0:0.1 r1:1.4 r2:0.9 r3:2.9 V:0\nX:\n_p0:8\n_p1:3\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:8\nY:7.5\nr0:0.0 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:8\n_p1:12\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:4\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:30\n_p2:1\n_p3:5\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:9.3\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:30\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.6\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:24\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:6\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:8.3\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:2\n_p1:2\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:2\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:24\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:2\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:1\nX:\n_p0:8\n_p1:3\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:8\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:24\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:2\nY:10.7\nr0:0.1 r1:2.4 r2:1.4 r3:4.8 V:0\nX:\n_p0:8\n_p1:1\n_p2:32\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:120\nY:9.4\nr0:0.1 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:8\n_p1:24\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:120\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:11.3\nr0:0.1 r1:0.5 r2:0.3 r3:0.8 V:1\nX:\n_p0:1\n_p1:24\n_p2:1\n_p3:20\n_p4:f\n_p5:c\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:3\n_p2:1\n_p3:12\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:8.3\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:2\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.0\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:15\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.0\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:1\n_p2:1\n_p3:20\n_p4:f\n_p5:c\n_p6:1\n_p7:120\nY:9.9\nr0:0.1 r1:0.4 r2:0.2 r3:0.8 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:9.6\nr0:0.0 r1:1.6 r2:1.0 r3:3.1 V:0\nX:\n_p0:8\n_p1:6\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:120\n_p7:4\nY:8.0\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:8\n_p1:2\n_p2:32\n_p3:1\n_p4:c\n_p5:f\n_p6:4\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:15\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:2\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:120\n_p7:1\nY:9.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:15\n_p2:1\n_p3:5\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:8.3\nr0:0.1 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:3\n_p1:1\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:120\nY:9.7\nr0:0.0 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:4\n_p1:32\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:3\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:9.7\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.8\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:4\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:5\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:2\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:20\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:10.4\nr0:0.2 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:8\n_p1:10\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:4\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:32\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:16\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:5\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:10.2\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:8\n_p1:1\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:9.4\nr0:0.1 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:2\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:8\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:4\n_p7:8\nY:10.5\nr0:0.0 r1:1.3 r2:0.8 r3:2.5 V:0\nX:\n_p0:1\n_p1:20\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:120\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:3\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:6\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.4\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:5\n_p2:20\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:8.1\nr0:0.0 r1:0.5 r2:0.3 r3:1.0 V:0\nX:\n_p0:4\n_p1:4\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:30\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:16\n_p4:f\n_p5:o\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:16\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:20\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:32\n_p3:1\n_p4:c\n_p5:f\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:2\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:8\n_p7:4\nY:10.4\nr0:0.0 r1:0.3 r2:0.2 r3:0.4 V:1\nTY:10.0\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:20\n_p2:1\n_p3:2\n_p4:f\n_p5:o\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_trmm(double alpha,double A[60][60],double B[60][80])\n{\n//BLAS parameters\n//SIDE   = 'L'\n//UPLO   = 'L'\n//TRANSA = 'T'\n//DIAG   = 'U'\n// => Form  B := alpha*A**T*B.\n// A is MxM\n// B is MxN\n  \n#pragma ACCEL PIPELINE auto{_p3}\n  \n#pragma ACCEL TILE FACTOR=auto{_p5}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (int i = 0; i < 60; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p4}\n    \n#pragma ACCEL TILE FACTOR=auto{_p6}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (int j = 0; j < 80; j++) {\n      \n#pragma ACCEL PARALLEL reduction=B FACTOR=auto{_p2}\n      for (int k = 0; k < 60; k++) {\n        if (k > i) {\n          B[i][j] += A[k][i] * B[k][j];\n        }\n      }\n      B[i][j] = alpha * B[i][j];\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:15\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:2\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.2\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:80\n_p2:6\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:10\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:4\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:8\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:15\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:6\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:4\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 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V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:1\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:10\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:4\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:3\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:2\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:32\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:15\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 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V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:2\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:4\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:16\n_p2:2\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:1.2\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_covariance(int m,int n,double float_n,double data[100][80],double cov[80][80],double mean[80])\n{\n  int i;\n  int j;\n  int k;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p6}\n  \n#pragma ACCEL TILE FACTOR=auto{_p10}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (j = 0; j < 80; j++) {\n    mean[j] = 0.0;\n    \n#pragma ACCEL PARALLEL reduction=mean FACTOR=auto{_p3}\n    for (i = 0; i < 100; i++) {\n      mean[j] += data[i][j];\n    }\n    mean[j] /= float_n;\n  }\n  \n#pragma ACCEL PIPELINE auto{_p7}\n  \n#pragma ACCEL TILE FACTOR=auto{_p11}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 100; i++) {\n    \n#pragma ACCEL PARALLEL reduction=data FACTOR=auto{_p4}\n    for (j = 0; j < 80; j++) {\n      data[i][j] -= mean[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    for (j = i; j < 80; j++) {\n      cov[i][j] = 0.0;\n      \n#pragma ACCEL PARALLEL reduction=cov FACTOR=auto{_p5}\n      for (k = 0; k < 100; k++) {\n        cov[i][j] += data[k][i] * data[k][j];\n      }\n      cov[i][j] /= float_n - 1.0;\n      cov[j][i] = cov[i][j];\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:16\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.5\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:8\n_p1:1\n_p2:32\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.6\nr0:0.0 r1:0.5 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:100\n_p6:f\n_p7:f\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:80\n_p11:100\n_p12:8\nY:4.3\nr0:0.0 r1:0.4 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:20\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:4\n_p2:20\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:2\n_p12:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:1\n_p2:20\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:100\n_p12:4\nY:4.3\nr0:0.0 r1:0.5 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:10\n_p6:f\n_p7:o\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:4\n_p2:32\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.6\nr0:0.0 r1:0.5 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:16\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\nY:8.1\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:8\n_p1:1\n_p2:10\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:100\n_p12:8\nY:4.3\nr0:0.0 r1:0.3 r2:0.2 r3:0.1 V:1\nX:\n_p0:8\n_p1:2\n_p2:32\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.6\nr0:0.0 r1:0.5 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.4\nr0:0.0 r1:0.4 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:100\n_p6:o\n_p7:f\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:32\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:4\n_p12:1\nY:3.3\nr0:0.0 r1:0.3 r2:0.3 r3:0.1 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:80\n_p11:8\n_p12:80\nY:3.6\nr0:0.0 r1:0.4 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:100\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:5.0\nr0:0.1 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:4\n_p12:1\nY:3.3\nr0:0.0 r1:0.3 r2:0.3 r3:0.1 V:1\nX:\n_p0:8\n_p1:4\n_p2:20\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:4\nY:4.3\nr0:0.0 r1:0.4 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:80\n_p11:8\n_p12:1\nY:3.6\nr0:0.0 r1:0.4 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:1.5\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:4\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.5\nr0:0.0 r1:0.3 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:1.5\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:10\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.6\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:20\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:2\n_p12:1\nY:3.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:25\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.0\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:2\n_p1:4\n_p2:10\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:8\n_p11:1\n_p12:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:32\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:80\n_p11:8\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:25\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:32\n_p4:1\n_p5:16\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.6\nr0:0.0 r1:0.4 r2:0.1 r3:0.0 V:1\nX:\n_p0:4\n_p1:4\n_p2:10\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:4\n_p12:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\nY:7.2\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:2\n_p12:1\nY:2.3\nr0:0.0 r1:0.3 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:20\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.0\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:10\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.6\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:8\n_p1:4\n_p2:1\n_p3:32\n_p4:1\n_p5:16\n_p6:c\n_p7:f\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:10\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\nY:7.3\nr0:0.0 r1:0.4 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:16\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:32\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.7\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:1\n_p5:10\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.6\nr0:0.0 r1:0.5 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:32\n_p6:f\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:2\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:2.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:80\n_p11:1\n_p12:80\nY:4.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:5\n_p6:o\n_p7:o\n_p8:c\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:8\n_p1:1\n_p2:32\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:100\n_p12:1\nY:4.6\nr0:0.0 r1:0.5 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:32\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\nY:8.1\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:4\n_p1:4\n_p2:32\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:c\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:16\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.3\nr0:0.0 r1:0.4 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:1\n_p4:1\n_p5:8\n_p6:f\n_p7:f\n_p8:c\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:100\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:10\n_p2:10\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:2\n_p11:1\n_p12:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:o\n_p9:f\n_p10:1\n_p11:4\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:2\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:2.3\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:2\n_p6:f\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.6\nr0:0.0 r1:0.5 r2:0.2 r3:0.2 V:1\nX:\n_p0:8\n_p1:2\n_p2:32\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:32\n_p6:f\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:5\n_p2:1\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:80\nY:4.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:1.5\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:1\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:1.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:4\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.0\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:8\n_p1:8\n_p2:32\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:3.8\nTV:0\n", "outputs":"### outputs: _p0:8\n_p1:16\n_p2:1\n_p3:32\n_p4:1\n_p5:16\n_p6:c\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_trmm(double alpha,double A[60][60],double B[60][80])\n{\n//BLAS parameters\n//SIDE   = 'L'\n//UPLO   = 'L'\n//TRANSA = 'T'\n//DIAG   = 'U'\n// => Form  B := alpha*A**T*B.\n// A is MxM\n// B is MxN\n  \n#pragma ACCEL PIPELINE auto{_p3}\n  \n#pragma ACCEL TILE FACTOR=auto{_p5}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (int i = 0; i < 60; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p4}\n    \n#pragma ACCEL TILE FACTOR=auto{_p6}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (int j = 0; j < 80; j++) {\n      \n#pragma ACCEL PARALLEL reduction=B FACTOR=auto{_p2}\n      for (int k = 0; k < 60; k++) {\n        if (k > i) {\n          B[i][j] += A[k][i] * B[k][j];\n        }\n      }\n      B[i][j] = alpha * B[i][j];\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:2\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.2\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:5\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:8\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:10\n_p2:12\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:4\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:8\n_p1:1\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:80\n_p2:4\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.2\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:2\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.2\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:20\n_p2:20\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:1.3\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:o\n_p5:1\n_p6:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_trmm(double alpha,double A[60][60],double B[60][80])\n{\n//BLAS parameters\n//SIDE   = 'L'\n//UPLO   = 'L'\n//TRANSA = 'T'\n//DIAG   = 'U'\n// => Form  B := alpha*A**T*B.\n// A is MxM\n// B is MxN\n  \n#pragma ACCEL PIPELINE auto{_p3}\n  \n#pragma ACCEL TILE FACTOR=auto{_p5}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (int i = 0; i < 60; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p4}\n    \n#pragma ACCEL TILE FACTOR=auto{_p6}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (int j = 0; j < 80; j++) {\n      double sum = B[i][j];\n#pragma ACCEL PARALLEL reduction=sum FACTOR=auto{_p2}\n      for (int k = 0; k < 60; k++) {\n        if (k > i) {\n          sum += A[k][i] * B[k][j];\n        }\n      }\n      B[i][j] = alpha * sum;\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:3.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:3\n_p1:5\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:16\n_p3:o\n_p4:c\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:o\n_p4:c\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:16\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.7\nr0:0.0 r1:3.1 r2:14.8 r3:6.0 V:0\nX:\n_p0:1\n_p1:5\n_p2:10\n_p3:o\n_p4:o\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:8.2\nr0:0.0 r1:0.3 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:4.5\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:4\n_p2:8\n_p3:o\n_p4:c\n_p5:60\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:8.7\nr0:0.0 r1:0.9 r2:0.6 r3:1.5 V:0\nX:\n_p0:1\n_p1:2\n_p2:16\n_p3:o\n_p4:c\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:3\n_p3:o\n_p4:c\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.6\nr0:0 r1:2.0 r2:9.3 r3:3.7 V:0\nX:\n_p0:6\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:4.0\nr0:0.0 r1:0 r2:0 r3:0 V:1\nX:\n_p0:2\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.4\nr0:0.0 r1:0.9 r2:2.9 r3:1.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:30\n_p3:c\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:3\n_p1:4\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.6\nr0:0.0 r1:0.7 r2:5.0 r3:1.1 V:0\nX:\n_p0:1\n_p1:8\n_p2:60\n_p3:c\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:4.4\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:8.6\nr0:0 r1:1.2 r2:0.7 r3:1.9 V:0\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:2\n_p1:4\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.1\nr0:0.0 r1:0.5 r2:2.6 r3:0.8 V:0\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:o\n_p4:o\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:10\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:4\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.2\nr0:0.0 r1:0.9 r2:7.0 r3:1.5 V:0\nX:\n_p0:1\n_p1:8\n_p2:6\n_p3:o\n_p4:c\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:15\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:20\n_p3:o\n_p4:c\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:3\n_p3:o\n_p4:o\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:6\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.1\nr0:0 r1:2.3 r2:11.0 r3:4.4 V:0\nX:\n_p0:1\n_p1:20\n_p2:20\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:10\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:10.1\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:4\n_p1:1\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:32\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:8.2\nr0:0.0 r1:0.3 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:4\n_p2:4\n_p3:o\n_p4:c\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:4.9\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:20\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:o\n_p4:c\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:4.9\nr0:0.1 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:4\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:32\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:3.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:4.8\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:o\n_p4:c\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:8.4\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:2\n_p2:60\n_p3:o\n_p4:o\n_p5:60\n_p6:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[400],double x2[400],double y_1[400],double y_2[400],double A[400][400])\n{\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 400; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 400; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n}\n ```\nX:\n_p0:4\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:1\nY:5.7\nr0:0.3 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:400\n_p7:400\nY:6.3\nr0:0.4 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:1\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:2\n_p7:1\nY:5.6\nr0:0.3 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:8\n_p7:1\nY:5.9\nr0:0.4 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:10\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:16\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:8\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:4.1\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:2\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:8\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:8\n_p7:400\nY:6.2\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:2\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:25\n_p3:2\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:3.7\nr0:0.2 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:2\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:25\n_p3:10\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:4.4\nr0:0.3 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:8\n_p7:400\nY:5.9\nr0:0.5 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:400\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:6.4\nr0:0.2 r1:0.3 r2:0.1 r3:0.0 V:1\nX:\n_p0:16\n_p1:1\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:2\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:5.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:25\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:8.4\nr0:0.2 r1:0.4 r2:0.3 r3:0.7 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V:1\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:8\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:4.9\nr0:0.2 r1:0.3 r2:0.2 r3:0.7 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:6.0\nr0:0.3 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:10\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:5.3\nr0:0.5 r1:0.6 r2:0.4 r3:1.3 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:25\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:8.7\nr0:3.2 r1:0.6 r2:0.4 r3:0.8 V:0\nX:\n_p0:8\n_p1:16\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:8\n_p7:400\nY:6.2\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:8\nY:7.9\nr0:0.2 r1:1.2 r2:0.7 r3:1.9 V:0\nX:\n_p0:2\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:16\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:20\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:8\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:5\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:400\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:4\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:5.0\nr0:0.4 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:8\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:400\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:25\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:10\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:8\n_p7:400\nY:7.0\nr0:0.4 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:25\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:2\n_p7:400\nY:6.6\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:4\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.2 r1:0.4 r2:0.2 r3:0.7 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:4\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:3.8\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:3.4\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:400\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:7.9\nr0:0.2 r1:1.6 r2:0.9 r3:2.6 V:0\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:2\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:4.6\nr0:0.3 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:25\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:8.6\nr0:0.2 r1:0.4 r2:0.2 r3:0.7 V:1\nX:\n_p0:32\n_p1:16\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:400\n_p7:1\nY:5.0\nr0:1.1 r1:1.5 r2:1.0 r3:3.2 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:16\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:2\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:7.8\nr0:0.4 r1:0.5 r2:0.3 r3:0.8 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:7.2\nr0:0.5 r1:0.3 r2:0.2 r3:0.7 V:1\nX:\n_p0:32\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:6.0\nr0:0.2 r1:3.2 r2:2.0 r3:6.4 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.8\nr0:0.1 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:16\n_p1:16\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:6.1\nTV:0\n", "outputs":"### outputs: _p0:1\n_p1:4\n_p2:8\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_trmm(double alpha,double A[60][60],double B[60][80])\n{\n//BLAS parameters\n//SIDE   = 'L'\n//UPLO   = 'L'\n//TRANSA = 'T'\n//DIAG   = 'U'\n// => Form  B := alpha*A**T*B.\n// A is MxM\n// B is MxN\n  \n#pragma ACCEL PIPELINE auto{_p3}\n  \n#pragma ACCEL TILE FACTOR=auto{_p5}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (int i = 0; i < 60; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p4}\n    \n#pragma ACCEL TILE FACTOR=auto{_p6}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (int j = 0; j < 80; j++) {\n      \n#pragma ACCEL PARALLEL reduction=B FACTOR=auto{_p2}\n      for (int k = 0; k < 60; k++) {\n        if (k > i) {\n          B[i][j] += A[k][i] * B[k][j];\n        }\n      }\n      B[i][j] = alpha * B[i][j];\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:20\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:0\nX:\n_p0:1\n_p1:2\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:30\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:3\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:32\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.2\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:12\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:4\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:10\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:1.3\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:5\n_p3:o\n_p4:o\n_p5:1\n_p6:80\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_trmm(double alpha,double A[60][60],double B[60][80])\n{\n//BLAS parameters\n//SIDE   = 'L'\n//UPLO   = 'L'\n//TRANSA = 'T'\n//DIAG   = 'U'\n// => Form  B := alpha*A**T*B.\n// A is MxM\n// B is MxN\n  \n#pragma ACCEL PIPELINE auto{_p3}\n  \n#pragma ACCEL TILE FACTOR=auto{_p5}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (int i = 0; i < 60; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p4}\n    \n#pragma ACCEL TILE FACTOR=auto{_p6}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (int j = 0; j < 80; j++) {\n      \n#pragma ACCEL PARALLEL reduction=B FACTOR=auto{_p2}\n      for (int k = 0; k < 60; k++) {\n        if (k > i) {\n          B[i][j] += A[k][i] * B[k][j];\n        }\n      }\n      B[i][j] = alpha * B[i][j];\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:10\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:2\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:30\n_p3:o\n_p4:o\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:10\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:2\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 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r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:o\n_p4:o\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:1.3\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:80\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_covariance(int m,int n,double float_n,double data[100][80],double cov[80][80],double mean[80])\n{\n  int i;\n  int j;\n  int k;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p6}\n  \n#pragma ACCEL TILE FACTOR=auto{_p10}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (j = 0; j < 80; j++) {\n    mean[j] = 0.0;\n    \n#pragma ACCEL PARALLEL reduction=mean FACTOR=auto{_p3}\n    for (i = 0; i < 100; i++) {\n      mean[j] += data[i][j];\n    }\n    mean[j] /= float_n;\n  }\n  \n#pragma ACCEL PIPELINE auto{_p7}\n  \n#pragma ACCEL TILE FACTOR=auto{_p11}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 100; i++) {\n    \n#pragma ACCEL PARALLEL reduction=data FACTOR=auto{_p4}\n    for (j = 0; j < 80; j++) {\n      data[i][j] -= mean[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    for (j = i; j < 80; j++) {\n      cov[i][j] = 0.0;\n      \n#pragma ACCEL PARALLEL reduction=cov FACTOR=auto{_p5}\n      for (k = 0; k < 100; k++) {\n        cov[i][j] += data[k][i] * data[k][j];\n      }\n      cov[i][j] /= float_n - 1.0;\n      cov[j][i] = cov[i][j];\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:25\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:4\n_p2:1\n_p3:32\n_p4:1\n_p5:16\n_p6:c\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:80\nY:3.8\nr0:0.0 r1:0.5 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:16\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.5\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:4\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.0\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:1.5\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:16\n_p2:1\n_p3:32\n_p4:1\n_p5:16\n_p6:c\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.8\nr0:0.0 r1:1.2 r2:0.5 r3:0.6 V:0\nX:\n_p0:4\n_p1:4\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:80\nY:4.4\nr0:0.0 r1:0.4 r2:0.2 r3:0.3 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.3\nr0:0.0 r1:0.3 r2:0.1 r3:0.2 V:1\nX:\n_p0:2\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:4\n_p11:100\n_p12:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:4\n_p2:10\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:2\n_p11:1\n_p12:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:2\n_p12:1\nY:3.1\nr0:0.0 r1:0.3 r2:0.2 r3:0.1 V:1\nX:\n_p0:8\n_p1:4\n_p2:32\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.6\nr0:0.0 r1:0.5 r2:0.2 r3:0.1 V:1\nX:\n_p0:8\n_p1:20\n_p2:10\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:8\nY:4.3\nr0:0.0 r1:0.4 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:100\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:7.2\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:32\n_p4:2\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.5\nr0:0.0 r1:0.4 r2:0.2 r3:0.1 V:1\nX:\n_p0:8\n_p1:2\n_p2:1\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:2\n_p12:80\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\nY:7.2\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:10\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.6\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:80\n_p11:8\n_p12:1\nY:3.6\nr0:0.0 r1:0.4 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:5\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.2\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:25\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:1\n_p5:100\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:5\n_p2:32\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.6\nr0:0.0 r1:0.5 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:f\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:16\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.5\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:1.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:10\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\nY:8.8\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:100\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:8.7\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:4\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.1\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:80\n_p11:1\n_p12:80\nY:4.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:8\n_p12:1\nY:3.3\nr0:0.0 r1:0.3 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:25\n_p6:o\n_p7:o\n_p8:c\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.6\nr0:0.0 r1:0.5 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:32\n_p4:1\n_p5:16\n_p6:o\n_p7:f\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:1\n_p2:20\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:100\n_p12:4\nY:4.3\nr0:0.0 r1:0.6 r2:0.2 r3:0.3 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:10\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.6\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:4\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:2.9\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:1.5\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nTY:1.5\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_2mm(int ni,int nj,int nk,int nl,double alpha,double beta,double tmp[40][50],double A[40][70],double B[70][50],double C[50][80],double D[40][80])\n{\n  int i;\n  int j;\n  int k;\n  \n#pragma ACCEL PIPELINE auto{_p6}\n  \n#pragma ACCEL TILE FACTOR=auto{_p10}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 40; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p8}\n    \n#pragma ACCEL TILE FACTOR=auto{_p12}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (j = 0; j < 50; j++) {\n      tmp[i][j] = 0.0;\n      \n#pragma ACCEL PARALLEL reduction = tmp FACTOR=auto{_p4}\n      for (k = 0; k < 70; ++k) {\n        tmp[i][j] += alpha * A[i][k] * B[k][j];\n      }\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p7}\n  \n#pragma ACCEL TILE FACTOR=auto{_p11}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 40; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (j = 0; j < 80; j++) {\n      D[i][j] *= beta;\n      \n#pragma ACCEL PARALLEL reduction = D FACTOR=auto{_p5}\n      for (k = 0; k < 50; ++k) {\n        D[i][j] += tmp[i][k] * C[k][j];\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:2\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:32\n_p1:5\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:4\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:70\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:11.3\nr0:0.0 r1:2.6 r2:1.6 r3:5.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:32\n_p5:16\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.4\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:50\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:10.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:32\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:1\n_p5:32\n_p6:f\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:8.0\nr0:0.0 r1:2.7 r2:1.8 r3:6.3 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:16\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.7 r2:0.4 r3:1.3 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:32\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:14\n_p5:32\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.4\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:32\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:6.7\nr0:0.0 r1:2.5 r2:1.6 r3:5.7 V:0\nX:\n_p0:2\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:1\n_p5:4\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.7\nr0:0.0 r1:2.4 r2:1.6 r3:5.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:4\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.0\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:20\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:40\n_p11:2\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:4\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:8\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:32\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.6\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:10\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.5\nr0:0.0 r1:2.5 r2:1.6 r3:5.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:8\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.5\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:8\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.3\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:8\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:8\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.7\nr0:0.0 r1:0.1 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V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:10\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:2.8 r2:1.9 r3:6.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:1\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.6\nr0:0.0 r1:2.8 r2:1.9 r3:6.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:1\n_p5:25\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.6\nr0:0.0 r1:2.4 r2:1.6 r3:5.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:25\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:2.5 r2:1.6 r3:5.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.6\nr0:0.0 r1:2.9 r2:1.9 r3:6.5 V:0\nX:\n_p0:1\n_p1:40\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:8.5\nr0:0.0 r1:2.5 r2:1.7 r3:5.8 V:0\nX:\n_p0:1\n_p1:20\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:40\n_p1:20\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:2\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:5\n_p6:o\n_p7:o\n_p8:f\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:2\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:2\nY:5.7\nr0:0.0 r1:0.4 r2:0.2 r3:0.7 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:25\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.9\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.3\nr0:0.0 r1:2.4 r2:1.6 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r1:2.8 r2:1.9 r3:6.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:14\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:6.1\nr0:0.0 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:10\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:4\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:5\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:8\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:2\n_p6:o\n_p7:o\n_p8:f\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:7\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.2\nr0:0.0 r1:0.0 r2:0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:50\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:40\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:5\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:c\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:50\n_p6:f\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:10.8\nr0:0.0 r1:2.5 r2:1.6 r3:5.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:4\nY:5.7\nr0:0.0 r1:0.4 r2:0.2 r3:0.8 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:80\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:1\n_p5:16\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.4\nr0:0.0 r1:2.4 r2:1.6 r3:5.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:50\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:10\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:70\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:9.0\nr0:0.0 r1:0.7 r2:0.4 r3:0.4 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:4\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.1\nr0:0.0 r1:0.0 r2:0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:20\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:5\n_p1:1\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:4\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.0\nr0:0.0 r1:2.8 r2:1.9 r3:6.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:7\n_p5:1\n_p6:o\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.6\nr0:0.0 r1:2.8 r2:1.9 r3:6.5 V:0\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:4\n_p12:1\n_p13:1\nY:5.7\nr0:0.0 r1:0.6 r2:0.4 r3:1.3 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:32\n_p5:32\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.0\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:4\n_p11:4\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:8\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:50\n_p3:1\n_p4:1\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.7\nr0:0.0 r1:2.9 r2:1.9 r3:6.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:5\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.9\nr0:0.0 r1:0.2 r2:0.1 r3:0.4 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:8\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.1\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:10\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.5\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:2.8 r2:1.9 r3:6.6 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:32\n_p5:4\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.1\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.4\nr0:0.0 r1:2.5 r2:1.6 r3:5.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:25\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.4\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:10\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:c\n_p7:c\n_p8:c\n_p9:f\n_p10:40\n_p11:8\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:1\n_p5:8\n_p6:f\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:14\n_p5:2\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.0\nr0:0.0 r1:0.0 r2:0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:1.2 r2:0.7 r3:2.6 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.4 r2:0.2 r3:0.7 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:2.8 r2:1.9 r3:6.6 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:16\n_p5:1\n_p6:o\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:16\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:25\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.4\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nTY:4.6\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_2mm(int ni,int nj,int nk,int nl,double alpha,double beta,double tmp[40][50],double A[40][70],double B[70][50],double C[50][80],double D[40][80])\n{\n  int i;\n  int j;\n  int k;\n  \n#pragma ACCEL PIPELINE auto{_p6}\n  \n#pragma ACCEL TILE FACTOR=auto{_p10}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 40; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p8}\n    \n#pragma ACCEL TILE FACTOR=auto{_p12}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (j = 0; j < 50; j++) {\n      tmp[i][j] = 0.0;\n      \n#pragma ACCEL PARALLEL reduction = tmp FACTOR=auto{_p4}\n      for (k = 0; k < 70; ++k) {\n        tmp[i][j] += alpha * A[i][k] * B[k][j];\n      }\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p7}\n  \n#pragma ACCEL TILE FACTOR=auto{_p11}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 40; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (j = 0; j < 80; j++) {\n      D[i][j] *= beta;\n      \n#pragma ACCEL PARALLEL reduction = D FACTOR=auto{_p5}\n      for (k = 0; k < 50; ++k) {\n        D[i][j] += tmp[i][k] * C[k][j];\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:14\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:6.1\nr0:0.0 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:40\n_p1:2\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:14\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:6.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:20\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:5.9 r2:3.5 r3:13.1 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:50\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:1\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:8\n_p11:2\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:4\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:5\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.3 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:40\n_p11:1\n_p12:1\n_p13:1\nY:3.7\nr0:0.0 r1:2.9 r2:1.9 r3:6.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:5\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:10.0\nr0:0.0 r1:0.2 r2:0.1 r3:0.4 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.7\nr0:0.0 r1:2.9 r2:1.9 r3:6.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:50\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:6.0\nr0:0.0 r1:0.2 r2:0.1 r3:0.3 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:10\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.5\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:10\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:4\n_p11:4\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:8\n_p11:1\n_p12:1\n_p13:1\nY:3.5\nr0:0.0 r1:1.4 r2:1.2 r3:4.8 V:0\nX:\n_p0:40\n_p1:1\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:32\n_p5:2\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.8\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:70\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:9.2\nr0:0.0 r1:0.8 r2:0.5 r3:0.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:10\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.9\nr0:0.0 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:8\n_p12:1\n_p13:1\nY:5.7\nr0:0.0 r1:0.4 r2:0.2 r3:0.7 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:8\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.7\nr0:0.0 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:2\n_p6:o\n_p7:o\n_p8:f\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:50\n_p3:1\n_p4:1\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.7\nr0:0.0 r1:2.9 r2:1.9 r3:6.5 V:0\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:8\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:25\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.4\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:80\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:1\n_p5:1\n_p6:o\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.6\nr0:0.0 r1:2.8 r2:1.9 r3:6.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:25\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.6\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:2\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.8\nr0:0.0 r1:0.0 r2:0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:50\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.4\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:5\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:8\n_p11:8\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:4\n_p11:8\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:32\n_p5:16\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.4\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:70\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:11.5\nr0:0.0 r1:2.6 r2:1.6 r3:5.7 V:0\nX:\n_p0:20\n_p1:20\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:2\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:4\n_p11:1\n_p12:1\n_p13:1\nY:3.5\nr0:0.0 r1:1.4 r2:1.3 r3:4.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:5\n_p5:1\n_p6:o\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.3\nr0:0.0 r1:2.8 r2:1.9 r3:6.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:c\n_p7:c\n_p8:c\n_p9:f\n_p10:40\n_p11:2\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:4\n_p12:1\n_p13:1\nY:5.6\nr0:0.0 r1:0.4 r2:0.2 r3:0.7 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:8\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.2\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:2\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:1\n_p6:o\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:1\n_p5:2\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.1\nr0:0.0 r1:2.4 r2:1.6 r3:5.7 V:0\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.6 r2:0.4 r3:1.3 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:16\n_p6:f\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:4\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:5\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.9\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:10\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:10.7\nr0:0.0 r1:0.4 r2:0.2 r3:0.8 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:16\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.8\nr0:0.0 r1:2.5 r2:1.6 r3:5.7 V:0\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:2\n_p12:8\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:5\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:5\n_p1:2\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:40\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:5.8\nr0:1.0 r1:1.5 r2:1.0 r3:3.3 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:8\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:7\n_p5:1\n_p6:o\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:32\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:25\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:2.5 r2:1.6 r3:5.7 V:0\nTY:3.5\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:2\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[60][80],double ey[60][80],double hz[60][80],double _fict_[40])\n{\n  int t;\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 40; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 60; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 60; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 1; j < 80; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n    for (i = 0; i < 59; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 79; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:16\n_p2:4\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:60\n_p15:59\nY:5.3\nr0:0.0 r1:0.8 r2:0.6 r3:0.6 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:79\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:16\n_p2:1\n_p3:1\n_p4:2\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.5\nr0:0.0 r1:0.6 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:2\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:79\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:16\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.0\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:8\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.6\nr0:0.0 r1:0.6 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:8\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.7\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:4\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:4\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:32\n_p8:o\n_p9:f\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.5\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:10\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:4.7\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:79\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_syr2k(double alpha,double beta,double C[80][80],double A[80][60],double B[80][60])\n{\n  int i;\n  int j;\n  int k;\n//BLAS PARAMS\n//UPLO  = 'L'\n//TRANS = 'N'\n//A is NxM\n//B is NxM\n//C is NxN\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      if (j <= i) {\n        C[i][j] *= beta;\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p5}\n    \n#pragma ACCEL TILE FACTOR=auto{_p7}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (k = 0; k < 60; k++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        if (j <= i) {\n          C[i][j] += A[j][k] * alpha * B[i][k] + B[j][k] * alpha * A[i][k];\n        }\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:4\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:5.7\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:5\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:5\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:4\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:1\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:2\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:2\n_p1:1\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:4\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:6.4\nr0:0.0 r1:0.3 r2:0.2 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:8\nY:5.7\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:4\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:3\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 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V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:5.7\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:2.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:2\n_p2:4\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:6\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:12\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:5\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:2.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:2\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:2\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:2\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:4\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:6.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.3\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:3\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.5\nr0:0.0 r1:0.3 r2:0.2 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:10\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.7\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:3\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:2\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.2\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:5.1\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:2\n_p2:4\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:6.0\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:7.7\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:8\n_p2:2\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[120], double x2[120], double y_1[120], double y_2[120], double A[120][120])\n{\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 120; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 120; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:2\n_p1:5\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:2\nY:8.4\nr0:0.0 r1:0.7 r2:0.4 r3:1.4 V:0\nX:\n_p0:1\n_p1:6\n_p2:1\n_p3:30\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:9.4\nr0:0.2 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:24\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.8\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:4\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:1\n_p7:2\nY:8.8\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:30\n_p4:c\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:10\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:2\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:4\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:12\n_p2:1\n_p3:5\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:10.1\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:2\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:4\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:15\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:8.0\nr0:0.0 r1:0.5 r2:0.3 r3:1.0 V:0\nX:\n_p0:1\n_p1:4\n_p2:24\n_p3:1\n_p4:o\n_p5:f\n_p6:120\n_p7:1\nY:9.7\nr0:0.0 r1:0.5 r2:0.2 r3:0.8 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V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:5\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:9.2\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:5\n_p4:c\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:32\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:120\nY:9.4\nr0:0.1 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:2\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.3\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:2\n_p1:12\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:4\n_p7:1\nY:9.9\nr0:0.0 r1:1.2 r2:0.7 r3:2.3 V:0\nX:\n_p0:4\n_p1:16\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:2\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:2\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:120\n_p7:1\nY:8.1\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:2\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:12\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:4\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:3\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:120\n_p7:8\nY:8.4\nr0:0.1 r1:0.4 r2:0.2 r3:0.8 V:1\nX:\n_p0:1\n_p1:12\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:120\n_p7:1\nY:9.0\nr0:0.0 r1:1.2 r2:0.7 r3:2.3 V:0\nX:\n_p0:3\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:3\n_p2:32\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:8\nY:7.5\nr0:0.0 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:4\n_p1:6\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:8\nY:8.8\nr0:0.0 r1:1.0 r2:0.6 r3:1.9 V:0\nX:\n_p0:2\n_p1:12\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:8\n_p7:8\nY:9.7\nr0:0.0 r1:1.5 r2:0.9 r3:2.9 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:16\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:8\n_p7:120\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:30\n_p3:4\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.9\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:12\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:8\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:16\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:5\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:120\n_p3:2\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.8\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:10\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:9.3\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:20\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:9.5\nr0:0.0 r1:0.8 r2:0.5 r3:1.6 V:0\nX:\n_p0:2\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:24\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:120\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:12\n_p4:c\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:10.4\nTV:0\n", "outputs":"### outputs: _p0:1\n_p1:20\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:120\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[200][240],double ey[200][240],double hz[200][240],double _fict_[100])\n{\n  int t;\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 100; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 240; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 0; j < 240; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (i = 0; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n      for (j = 1; j < 240; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 200 - 1; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 240 - 1; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:8\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.3\nr0:0.6 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:5\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:1\n_p7:8\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.6\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:8\n_p1:16\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:199\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:1.0\nTV:0\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_trmm(double alpha,double A[60][60],double B[60][80])\n{\n//BLAS parameters\n//SIDE   = 'L'\n//UPLO   = 'L'\n//TRANSA = 'T'\n//DIAG   = 'U'\n// => Form  B := alpha*A**T*B.\n// A is MxM\n// B is MxN\n  \n#pragma ACCEL PIPELINE auto{_p3}\n  \n#pragma ACCEL TILE FACTOR=auto{_p5}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (int i = 0; i < 60; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p4}\n    \n#pragma ACCEL TILE FACTOR=auto{_p6}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (int j = 0; j < 80; j++) {\n      \n#pragma ACCEL PARALLEL reduction=B FACTOR=auto{_p2}\n      for (int k = 0; k < 60; k++) {\n        if (k > i) {\n          B[i][j] += A[k][i] * B[k][j];\n        }\n      }\n      B[i][j] = alpha * B[i][j];\n    }\n  }\n}\n ```\nX:\n_p0:2\n_p1:1\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:8\n_p2:4\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:0\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:5\n_p2:10\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:8\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:10\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:20\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:80\n_p2:3\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:5\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:80\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:80\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:c\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.2\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:2\n_p1:16\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.2\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:2\n_p1:32\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:30\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:1.3\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:10\n_p3:o\n_p4:o\n_p5:1\n_p6:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_syr2k(double alpha,double beta,double C[80][80],double A[80][60],double B[80][60])\n{\n  int i;\n  int j;\n  int k;\n//BLAS PARAMS\n//UPLO  = 'L'\n//TRANS = 'N'\n//A is NxM\n//B is NxM\n//C is NxN\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      if (j <= i) {\n        C[i][j] *= beta;\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p5}\n    \n#pragma ACCEL TILE FACTOR=auto{_p7}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (k = 0; k < 60; k++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        if (j <= i) {\n          C[i][j] += A[j][k] * alpha * B[i][k] + B[j][k] * alpha * A[i][k];\n        }\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.2\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:2\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.0\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:5\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:3\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:60\nY:7.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:2\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:30\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:3\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:6\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:6\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.7\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:32\n_p1:1\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:6.2\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:5.9\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:5\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:3.7\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:6.0\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 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V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:6.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:2.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:4\n_p2:6\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:3\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:5.7\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:10\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.1 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.4\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:3\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:8\nY:6.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:6\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.4\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:6\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:6\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:6.5\nr0:0.0 r1:0.3 r2:0.5 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:30\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:3\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.4\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:4\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:5.1\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nTY:7.6\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_covariance(int m,int n,double float_n,double data[100][80],double cov[80][80],double mean[80])\n{\n  int i;\n  int j;\n  int k;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p6}\n  \n#pragma ACCEL TILE FACTOR=auto{_p10}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (j = 0; j < 80; j++) {\n    mean[j] = 0.0;\n    \n#pragma ACCEL PARALLEL reduction=mean FACTOR=auto{_p3}\n    for (i = 0; i < 100; i++) {\n      mean[j] += data[i][j];\n    }\n    mean[j] /= float_n;\n  }\n  \n#pragma ACCEL PIPELINE auto{_p7}\n  \n#pragma ACCEL TILE FACTOR=auto{_p11}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 100; i++) {\n    \n#pragma ACCEL PARALLEL reduction=data FACTOR=auto{_p4}\n    for (j = 0; j < 80; j++) {\n      data[i][j] -= mean[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    for (j = i; j < 80; j++) {\n      cov[i][j] = 0.0;\n      \n#pragma ACCEL PARALLEL reduction=cov FACTOR=auto{_p5}\n      for (k = 0; k < 100; k++) {\n        cov[i][j] += data[k][i] * data[k][j];\n      }\n      cov[i][j] /= float_n - 1.0;\n      cov[j][i] = cov[i][j];\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:8\n_p1:5\n_p2:32\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.6\nr0:0.0 r1:0.5 r2:0.2 r3:0.1 V:1\nX:\n_p0:4\n_p1:4\n_p2:10\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:8\n_p11:1\n_p12:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:1\n_p5:20\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:20\n_p2:1\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:80\nY:4.3\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:25\n_p6:f\n_p7:o\n_p8:c\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.2\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:2\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:32\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:32\n_p4:1\n_p5:16\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.6\nr0:0.0 r1:0.4 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:5\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:2\n_p12:1\nY:3.2\nr0:0.1 r1:0.3 r2:0.2 r3:0.1 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V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:1\n_p5:5\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.2\nr0:0.0 r1:0.2 r2:0.2 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:4\n_p12:1\nY:2.2\nr0:0.0 r1:0.3 r2:0.3 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:100\n_p6:o\n_p7:o\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:5\n_p2:1\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:80\nY:4.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:20\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:4\n_p2:10\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:8\n_p12:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:4\n_p2:1\n_p3:32\n_p4:1\n_p5:16\n_p6:c\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.8\nr0:0.0 r1:0.5 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.0\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:25\n_p2:32\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.6\nr0:0.0 r1:0.6 r2:0.3 r3:0.2 V:1\nX:\n_p0:2\n_p1:1\n_p2:32\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:100\n_p12:1\nY:4.6\nr0:0.0 r1:0.6 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:2\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:2.3\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:10\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.7\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:4\n_p1:4\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:2\n_p12:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:1\n_p5:5\n_p6:o\n_p7:f\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:f\n_p7:o\n_p8:c\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:4\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.0\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:1\n_p5:25\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.9\nr0:0.0 r1:0.6 r2:0.7 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:4\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:25\n_p6:f\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:20\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.3\nr0:0.0 r1:0.3 r2:0.1 r3:0.2 V:1\nTY:3.2\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:5\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_2mm(int ni,int nj,int nk,int nl,double alpha,double beta,double tmp[40][50],double A[40][70],double B[70][50],double C[50][80],double D[40][80])\n{\n  int i;\n  int j;\n  int k;\n  \n#pragma ACCEL PIPELINE auto{_p6}\n  \n#pragma ACCEL TILE FACTOR=auto{_p10}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 40; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p8}\n    \n#pragma ACCEL TILE FACTOR=auto{_p12}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (j = 0; j < 50; j++) {\n      tmp[i][j] = 0.0;\n      \n#pragma ACCEL PARALLEL reduction = tmp FACTOR=auto{_p4}\n      for (k = 0; k < 70; ++k) {\n        tmp[i][j] += alpha * A[i][k] * B[k][j];\n      }\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p7}\n  \n#pragma ACCEL TILE FACTOR=auto{_p11}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 40; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (j = 0; j < 80; j++) {\n      D[i][j] *= beta;\n      \n#pragma ACCEL PARALLEL reduction = D FACTOR=auto{_p5}\n      for (k = 0; k < 50; ++k) {\n        D[i][j] += tmp[i][k] * C[k][j];\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:50\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:10.9\nr0:0.0 r1:0.4 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:4\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.9\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:16\n_p4:70\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:11.6\nr0:0.0 r1:2.6 r2:1.6 r3:5.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:8\n_p12:1\n_p13:1\nY:5.7\nr0:0.0 r1:0.4 r2:0.2 r3:0.7 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:o\n_p7:o\n_p8:f\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:32\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:1\n_p5:1\n_p6:o\n_p7:f\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:9.9\nr0:0.0 r1:2.9 r2:1.9 r3:6.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.1\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:8\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:70\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:10.6\nr0:0.0 r1:2.5 r2:1.5 r3:5.7 V:0\nX:\n_p0:1\n_p1:5\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:8\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:8\n_p5:1\n_p6:o\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.5\nr0:0.0 r1:2.8 r2:1.9 r3:6.5 V:0\nX:\n_p0:1\n_p1:40\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:40\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.4 r2:0.2 r3:0.7 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:5\n_p4:8\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.4 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:16\n_p4:16\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.9\nr0:0.0 r1:0.7 r2:0.4 r3:1.3 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:8\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:2\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.9\nr0:0.0 r1:2.9 r2:1.9 r3:6.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:25\n_p6:f\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:2\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:14\n_p5:32\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.4\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:10\n_p1:10\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:4\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:c\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:2\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:5\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:16\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.9\nr0:0.0 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.9\nr0:0.0 r1:2.9 r2:1.9 r3:6.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.3\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:14\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:6.1\nr0:0.0 r1:2.9 r2:1.9 r3:6.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:o\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:4\n_p12:50\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:4\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:8\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.3\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nTY:11.5\nTV:0\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:70\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[120], double x2[120], double y_1[120], double y_2[120], double A[120][120])\n{\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 120; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 120; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:8\n_p1:1\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:2\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:3\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.6\nr0:0.1 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:8\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:120\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.4\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:120\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:3\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:120\n_p7:4\nY:7.1\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:1\n_p2:32\n_p3:1\n_p4:c\n_p5:f\n_p6:4\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:15\n_p2:32\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:3\n_p2:1\n_p3:2\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:7.8\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:2\n_p1:12\n_p2:1\n_p3:20\n_p4:f\n_p5:c\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:12\n_p2:1\n_p3:20\n_p4:f\n_p5:o\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:10\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:4\nY:9.4\nr0:0.0 r1:1.1 r2:0.7 r3:2.3 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:12\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:6\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:24\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:1\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:4\n_p7:120\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:32\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:9.4\nr0:0.1 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:2\n_p1:6\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:8\n_p7:1\nY:9.3\nr0:0.0 r1:0.8 r2:0.5 r3:1.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:2\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:6.9\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:4\n_p1:2\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:2\n_p7:1\nY:8.6\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:32\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:24\n_p3:1\n_p4:c\n_p5:f\n_p6:120\n_p7:8\nY:9.5\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:2\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:8\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:8\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:8\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:9.7\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:3\n_p2:1\n_p3:120\n_p4:f\n_p5:o\n_p6:1\n_p7:2\nY:8.3\nr0:0.1 r1:0.4 r2:0.2 r3:0.8 V:1\nX:\n_p0:4\n_p1:1\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:120\nY:9.7\nr0:0.0 r1:0.4 r2:0.2 r3:0.8 V:1\nX:\n_p0:2\n_p1:1\n_p2:8\n_p3:30\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:9.2\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:10\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:9.6\nr0:0.0 r1:1.0 r2:0.6 r3:2.0 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V:0\nX:\n_p0:4\n_p1:8\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:4\n_p7:8\nY:10.5\nr0:0.0 r1:1.3 r2:0.8 r3:2.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.6\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:2\n_p2:120\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:10.7\nr0:0.1 r1:0.3 r2:0.2 r3:0.4 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.0\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:15\n_p2:24\n_p3:1\n_p4:c\n_p5:f\n_p6:120\n_p7:1\nY:8.2\nr0:0.0 r1:1.4 r2:0.8 r3:2.9 V:0\nX:\n_p0:4\n_p1:4\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:32\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:5\n_p4:c\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:12\n_p2:1\n_p3:8\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:10.2\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:3\n_p1:12\n_p2:1\n_p3:20\n_p4:f\n_p5:c\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:10\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.5\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:2\n_p1:2\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:8\n_p7:1\nY:11.0\nr0:0.0 r1:0.5 r2:0.3 r3:0.8 V:1\nX:\n_p0:15\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:9.6\nr0:0.0 r1:1.5 r2:0.9 r3:2.9 V:0\nX:\n_p0:1\n_p1:6\n_p2:12\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:8.7\nr0:0.0 r1:0.6 r2:0.4 r3:1.2 V:0\nX:\n_p0:1\n_p1:8\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:120\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:24\n_p2:1\n_p3:12\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:11.1\nr0:0.1 r1:0.3 r2:0.2 r3:0.3 V:1\nX:\n_p0:3\n_p1:1\n_p2:1\n_p3:20\n_p4:f\n_p5:c\n_p6:2\n_p7:120\nY:9.7\nr0:0.1 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:8\n_p1:10\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:5\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.8\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:24\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:9.7\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:4\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:120\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:2\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:8\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:2\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.4\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:5\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:4\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:8\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:32\n_p2:1\n_p3:16\n_p4:f\n_p5:c\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:120\nY:9.4\nr0:0.1 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:2\n_p1:1\n_p2:12\n_p3:10\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.6\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:3\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:4\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:1\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:2\n_p7:120\nY:8.2\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:4\n_p2:5\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.4 r2:0.2 r3:0.8 V:1\nTY:6.8\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:8\n_p2:1\n_p3:1\n_p4:f\n_p5:c\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[120], double x2[120], double y_1[120], double y_2[120], double A[120][120])\n{\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 120; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 120; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:5\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:10.2\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:4\n_p1:4\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:2\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:120\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:11.3\nr0:0.1 r1:0.8 r2:0.5 r3:1.5 V:0\nX:\n_p0:10\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:9.6\nr0:0.0 r1:1.0 r2:0.6 r3:2.0 V:0\nX:\n_p0:4\n_p1:1\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:4\n_p7:120\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:15\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:8.0\nr0:0.0 r1:0.8 r2:0.4 r3:1.5 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:16\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:9.4\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:2\n_p1:5\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:4\n_p7:8\nY:8.3\nr0:0.0 r1:0.5 r2:0.3 r3:1.0 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:5\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.0 r2:0 r3:0.0 V:1\nX:\n_p0:1\n_p1:30\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:0\nX:\n_p0:1\n_p1:2\n_p2:24\n_p3:1\n_p4:c\n_p5:f\n_p6:120\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:120\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:10.4\nr0:0.1 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:8\n_p1:30\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:24\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.3\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:15\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:8.1\nr0:0.0 r1:0.4 r2:0.2 r3:0.8 V:1\nX:\n_p0:8\n_p1:12\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:8\n_p3:30\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:9.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:24\n_p2:1\n_p3:20\n_p4:f\n_p5:o\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:5\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:10.6\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:8\n_p1:3\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:1\nX:\n_p0:8\n_p1:24\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:11.2\nr0:0.2 r1:0.1 r2:0.1 r3:0.1 V:1\nX:\n_p0:4\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:3\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:4\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:120\n_p7:8\nY:10.2\nr0:0.1 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:6.7\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:8\n_p1:32\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:120\n_p7:2\nY:7.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:8\n_p1:32\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:8\n_p7:120\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:10\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:8.0\nr0:0.0 r1:0.5 r2:0.3 r3:1.0 V:0\nX:\n_p0:4\n_p1:8\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:2\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:8\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:12\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:120\n_p7:2\nY:8.2\nr0:0.1 r1:0.1 r2:0.0 r3:0.2 V:1\nX:\n_p0:4\n_p1:8\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:30\n_p2:24\n_p3:1\n_p4:c\n_p5:f\n_p6:120\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:20\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:3\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:4\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:5\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.1\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:5\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:8\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:30\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:8\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:120\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:3\n_p2:6\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.8\nr0:0.0 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:12\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:120\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:20\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:9.2\nr0:0.2 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:30\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:5\n_p1:24\n_p2:1\n_p3:20\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:11.2\nr0:0.0 r1:0.8 r2:0.5 r3:1.2 V:0\nTY:10.2\nTV:1\n", "outputs":"### outputs: _p0:8\n_p1:20\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_trmm(double alpha,double A[60][60],double B[60][80])\n{\n//BLAS parameters\n//SIDE   = 'L'\n//UPLO   = 'L'\n//TRANSA = 'T'\n//DIAG   = 'U'\n// => Form  B := alpha*A**T*B.\n// A is MxM\n// B is MxN\n  \n#pragma ACCEL PIPELINE auto{_p3}\n  \n#pragma ACCEL TILE FACTOR=auto{_p5}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (int i = 0; i < 60; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p4}\n    \n#pragma ACCEL TILE FACTOR=auto{_p6}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (int j = 0; j < 80; j++) {\n      \n#pragma ACCEL PARALLEL reduction=B FACTOR=auto{_p2}\n      for (int k = 0; k < 60; k++) {\n        if (k > i) {\n          B[i][j] += A[k][i] * B[k][j];\n        }\n      }\n      B[i][j] = alpha * B[i][j];\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:8\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:2\n_p1:20\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:15\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:15\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:3\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:2\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:2\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:10\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:2\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:32\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:2\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:80\n_p2:1\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:2\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:12\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.2\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nTY:1.3\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_trmm(double alpha,double A[60][60],double B[60][80])\n{\n//BLAS parameters\n//SIDE   = 'L'\n//UPLO   = 'L'\n//TRANSA = 'T'\n//DIAG   = 'U'\n// => Form  B := alpha*A**T*B.\n// A is MxM\n// B is MxN\n  \n#pragma ACCEL PIPELINE auto{_p3}\n  \n#pragma ACCEL TILE FACTOR=auto{_p5}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (int i = 0; i < 60; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p4}\n    \n#pragma ACCEL TILE FACTOR=auto{_p6}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (int j = 0; j < 80; j++) {\n      double sum = B[i][j];\n#pragma ACCEL PARALLEL reduction=sum FACTOR=auto{_p2}\n      for (int k = 0; k < 60; k++) {\n        if (k > i) {\n          sum += A[k][i] * B[k][j];\n        }\n      }\n      B[i][j] = alpha * sum;\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:4.9\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:2\n_p1:10\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:8.2\nr0:0.0 r1:0.3 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:4.3\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:5.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:6\n_p3:o\n_p4:c\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:4.2\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[60][80],double ey[60][80],double hz[60][80],double _fict_[40])\n{\n  int t;\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 40; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 60; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 60; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 1; j < 80; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n    for (i = 0; i < 59; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 79; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:2\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:60\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:5\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:2\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:8\nY:3.2\nr0:0.0 r1:0.8 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:2\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:2\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.6\nr0:0.0 r1:0.6 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:79\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:8\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:5\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:16\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.6\nr0:0.0 r1:0.6 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:8\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.7\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:c\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:79\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:4\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:59\n_p14:1\n_p15:1\nY:8.0\nr0:0.0 r1:0.8 r2:0.4 r3:0.6 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:8.1\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.1\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:79\n_p8:o\n_p9:f\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:16\n_p2:1\n_p3:1\n_p4:2\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:79\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:8\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.7\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:c\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:59\n_p14:60\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:4\n_p3:1\n_p4:2\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.0 r1:0.8 r2:0.5 r3:0.6 V:1\nX:\n_p0:2\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:60\n_p15:59\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:4\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:6.7\nr0:0.0 r1:0.7 r2:0.3 r3:0.6 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:59\n_p14:60\n_p15:8\nY:3.5\nr0:0.0 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:8\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:0\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:6.6\nr0:0.0 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:79\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:8\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.6\nr0:0.0 r1:1.5 r2:0.9 r3:1.3 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:32\n_p4:1\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.7\nr0:0.0 r1:0.4 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:59\n_p14:60\n_p15:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:16\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:2\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.0 r1:0.4 r2:0.2 r3:0.3 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:79\n_p8:o\n_p9:f\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:8.1\nr0:0.0 r1:1.3 r2:0.7 r3:0.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:2.9\nr0:0.0 r1:0.5 r2:0.2 r3:0.4 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:4\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:40\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:79\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.5\nr0:0.0 r1:1.3 r2:0.7 r3:0.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:32\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:60\n_p15:1\nY:6.6\nr0:0.0 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:79\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:59\n_p3:16\n_p4:60\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:59\nY:5.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:5\n_p1:1\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:f\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:8.1\nr0:0.0 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:1.5\nTV:0\n", "outputs":"### outputs: _p0:1\n_p1:16\n_p2:8\n_p3:1\n_p4:2\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[60][80],double ey[60][80],double hz[60][80],double _fict_[40])\n{\n  int t;\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 40; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 60; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 60; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 1; j < 80; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n    for (i = 0; i < 59; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 79; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:4\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:f\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:0\nX:\n_p0:2\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:8\nY:3.0\nr0:0.1 r1:0.8 r2:0.4 r3:0.7 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:59\n_p14:60\n_p15:8\nY:3.5\nr0:0.0 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:79\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:79\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:8.1\nr0:0.0 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:59\n_p14:60\n_p15:59\nY:8.7\nr0:0.0 r1:0.4 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:2\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:59\n_p14:1\n_p15:8\nY:3.5\nr0:0.0 r1:1.0 r2:0.5 r3:0.8 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:c\n_p10:o\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:4\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.6\nr0:0.0 r1:1.3 r2:0.5 r3:0.9 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:7.9\nr0:0.0 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.1\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:16\n_p2:4\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:60\n_p15:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:79\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.5\nr0:0.0 r1:1.3 r2:0.7 r3:0.9 V:0\nX:\n_p0:1\n_p1:16\n_p2:4\n_p3:1\n_p4:2\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.0 r1:0.8 r2:0.5 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:79\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.6\nr0:0.0 r1:0.6 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:8\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.5\nr0:0.0 r1:2.4 r2:1.3 r3:1.8 V:0\nTY:3.2\nTV:0\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:8\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[400],double x2[400],double y_1[400],double y_2[400],double A[400][400])\n{\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 400; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 400; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.0\nr0:0.2 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:2\n_p2:8\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:6.1\nr0:0.1 r1:0.9 r2:0.5 r3:1.3 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.5\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:400\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:400\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:1\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:2\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:10\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:1\nY:7.1\nr0:0.4 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:5\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:3.3\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:10\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:7.2\nr0:0.3 r1:3.2 r2:1.9 r3:6.5 V:0\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:8\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:4.9\nr0:0.2 r1:0.3 r2:0.2 r3:0.7 V:1\nX:\n_p0:1\n_p1:5\n_p2:10\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:4.6\nr0:1.0 r1:1.5 r2:0.9 r3:3.2 V:0\nX:\n_p0:16\n_p1:1\n_p2:16\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.9\nr0:0.3 r1:0.6 r2:0.3 r3:0.6 V:1\nX:\n_p0:10\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:1\nY:6.1\nr0:0.4 r1:0.1 r2:0.1 r3:0.3 V:1\nX:\n_p0:1\n_p1:2\n_p2:20\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:6.3\nr0:0.9 r1:0.7 r2:0.4 r3:1.3 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:20\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:7.3\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:10\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:7.8\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:400\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:4\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:6.8\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:1\nY:5.9\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:5\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:2\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:400\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:4.7\nr0:1.1 r1:1.5 r2:0.9 r3:3.2 V:0\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:8\n_p7:1\nY:5.8\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:4\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:4.9\nr0:0.1 r1:0.9 r2:0.5 r3:1.3 V:0\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:1\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:32\n_p1:16\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:5\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:2\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:8\n_p7:1\nY:5.8\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:2\n_p7:1\nY:6.7\nr0:0.1 r1:2.6 r2:1.5 r3:5.2 V:0\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:400\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:20\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.4 r1:0.3 r2:0.2 r3:0.7 V:1\nTY:2.9\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:o\n_p5:o\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_trmm(double alpha,double A[60][60],double B[60][80])\n{\n//BLAS parameters\n//SIDE   = 'L'\n//UPLO   = 'L'\n//TRANSA = 'T'\n//DIAG   = 'U'\n// => Form  B := alpha*A**T*B.\n// A is MxM\n// B is MxN\n  \n#pragma ACCEL PIPELINE auto{_p3}\n  \n#pragma ACCEL TILE FACTOR=auto{_p5}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (int i = 0; i < 60; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p4}\n    \n#pragma ACCEL TILE FACTOR=auto{_p6}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (int j = 0; j < 80; j++) {\n      double sum = B[i][j];\n#pragma ACCEL PARALLEL reduction=sum FACTOR=auto{_p2}\n      for (int k = 0; k < 60; k++) {\n        if (k > i) {\n          sum += A[k][i] * B[k][j];\n        }\n      }\n      B[i][j] = alpha * sum;\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:10\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:8.5\nr0:0 r1:0.6 r2:0.3 r3:1.0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:4.2\nr0:0.0 r1:0 r2:0 r3:0 V:1\nX:\n_p0:3\n_p1:4\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.6\nr0:0.0 r1:0.7 r2:5.0 r3:1.1 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:20\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:4\nY:8.6\nr0:0 r1:1.2 r2:0.7 r3:1.9 V:0\nX:\n_p0:1\n_p1:5\n_p2:30\n_p3:o\n_p4:c\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.7\nr0:0.0 r1:0.5 r2:0.3 r3:0.8 V:1\nX:\n_p0:1\n_p1:5\n_p2:16\n_p3:o\n_p4:c\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:8.2\nr0:0.0 r1:0.3 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:20\n_p2:30\n_p3:o\n_p4:c\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:c\n_p4:o\n_p5:60\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:0\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:4.9\nr0:0.1 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:8\nY:8.5\nr0:0 r1:0.6 r2:0.3 r3:1.0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.7\nr0:0.0 r1:0.9 r2:0.6 r3:1.5 V:0\nX:\n_p0:1\n_p1:2\n_p2:20\n_p3:o\n_p4:c\n_p5:60\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:3\n_p3:o\n_p4:c\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:16\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.7\nr0:0.0 r1:3.1 r2:14.8 r3:6.0 V:0\nX:\n_p0:1\n_p1:2\n_p2:5\n_p3:o\n_p4:c\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:3\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:8.7\nr0:0.0 r1:0.5 r2:0.3 r3:0.8 V:1\nX:\n_p0:6\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.1\nr0:0 r1:2.3 r2:11.0 r3:4.4 V:0\nX:\n_p0:1\n_p1:4\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:60\n_p3:o\n_p4:c\n_p5:60\n_p6:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:5\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.7\nr0:0.0 r1:1.9 r2:9.4 r3:3.7 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:8.5\nr0:0 r1:0.6 r2:0.3 r3:1.0 V:0\nX:\n_p0:1\n_p1:20\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:30\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:5.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:8.7\nr0:0.0 r1:0.5 r2:0.3 r3:0.8 V:1\nX:\n_p0:4\n_p1:5\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:9.8\nr0:0.0 r1:1.0 r2:4.6 r3:1.9 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.4 V:1\nX:\n_p0:3\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.8\nr0:0.0 r1:1.2 r2:5.3 r3:2.3 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:4.8\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:3.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:3\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.4\nr0:0.0 r1:1.5 r2:6.6 r3:2.8 V:0\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:5.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:5\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:8.2\nr0:0.0 r1:0.3 r2:0.2 r3:0.5 V:1\nX:\n_p0:3\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:30\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:5.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:60\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:80\nY:10.1\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:5\n_p2:8\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:2\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.5\nr0:0.0 r1:0.5 r2:6.7 r3:0.7 V:0\nX:\n_p0:1\n_p1:4\n_p2:4\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:4.2\nr0:0.0 r1:0 r2:0 r3:0 V:1\nX:\n_p0:60\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:8.6\nr0:0 r1:1.2 r2:0.7 r3:1.9 V:0\nX:\n_p0:3\n_p1:16\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.8\nr0:0.0 r1:2.4 r2:10.5 r3:4.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:4.8\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nTY:8.4\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:2\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_trmm(double alpha,double A[60][60],double B[60][80])\n{\n//BLAS parameters\n//SIDE   = 'L'\n//UPLO   = 'L'\n//TRANSA = 'T'\n//DIAG   = 'U'\n// => Form  B := alpha*A**T*B.\n// A is MxM\n// B is MxN\n  \n#pragma ACCEL PIPELINE auto{_p3}\n  \n#pragma ACCEL TILE FACTOR=auto{_p5}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (int i = 0; i < 60; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p4}\n    \n#pragma ACCEL TILE FACTOR=auto{_p6}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (int j = 0; j < 80; j++) {\n      double sum = B[i][j];\n#pragma ACCEL PARALLEL reduction=sum FACTOR=auto{_p2}\n      for (int k = 0; k < 60; k++) {\n        if (k > i) {\n          sum += A[k][i] * B[k][j];\n        }\n      }\n      B[i][j] = alpha * sum;\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:2\n_p2:20\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:8.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.4 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.4 V:1\nX:\n_p0:1\n_p1:20\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:4\nY:8.6\nr0:0 r1:1.2 r2:0.7 r3:1.9 V:0\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:80\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:15\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:8.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.4 V:1\nX:\n_p0:1\n_p1:8\n_p2:32\n_p3:o\n_p4:c\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:16\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.5\nr0:0.0 r1:1.7 r2:5.8 r3:3.0 V:0\nX:\n_p0:1\n_p1:8\n_p2:8\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:8.5\nr0:0 r1:0.6 r2:0.3 r3:1.0 V:0\nX:\n_p0:1\n_p1:20\n_p2:10\n_p3:o\n_p4:c\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:4.9\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:10\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.2\nr0:0.0 r1:0.3 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:8\n_p2:20\n_p3:o\n_p4:c\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:8\n_p3:o\n_p4:c\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:5.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:8.5\nr0:0 r1:0.6 r2:0.3 r3:1.0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:8.7\nr0:0.0 r1:0.5 r2:0.3 r3:0.8 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nTY:3.9\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:80\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_covariance(int m,int n,double float_n,double data[100][80],double cov[80][80],double mean[80])\n{\n  int i;\n  int j;\n  int k;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p6}\n  \n#pragma ACCEL TILE FACTOR=auto{_p10}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (j = 0; j < 80; j++) {\n    mean[j] = 0.0;\n    \n#pragma ACCEL PARALLEL reduction=mean FACTOR=auto{_p3}\n    for (i = 0; i < 100; i++) {\n      mean[j] += data[i][j];\n    }\n    mean[j] /= float_n;\n  }\n  \n#pragma ACCEL PIPELINE auto{_p7}\n  \n#pragma ACCEL TILE FACTOR=auto{_p11}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 100; i++) {\n    \n#pragma ACCEL PARALLEL reduction=data FACTOR=auto{_p4}\n    for (j = 0; j < 80; j++) {\n      data[i][j] -= mean[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    for (j = i; j < 80; j++) {\n      cov[i][j] = 0.0;\n      \n#pragma ACCEL PARALLEL reduction=cov FACTOR=auto{_p5}\n      for (k = 0; k < 100; k++) {\n        cov[i][j] += data[k][i] * data[k][j];\n      }\n      cov[i][j] /= float_n - 1.0;\n      cov[j][i] = cov[i][j];\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:32\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:1\n_p4:4\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.6\nr0:0.0 r1:0.5 r2:0.2 r3:0.2 V:1\nX:\n_p0:8\n_p1:2\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:c\n_p9:f\n_p10:4\n_p11:8\n_p12:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.4\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:1.5\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:100\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:7.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:2\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.3\nr0:0.0 r1:0.3 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:10\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:1\n_p5:25\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.9\nr0:0.0 r1:0.6 r2:0.7 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:1\n_p5:20\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.9\nr0:0.0 r1:0.4 r2:0.2 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:1.5\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 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V:1\nX:\n_p0:1\n_p1:4\n_p2:32\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:80\n_p11:2\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:1\n_p2:1\n_p3:32\n_p4:1\n_p5:16\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.8\nr0:0.0 r1:0.4 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:20\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.0\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:32\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:2\n_p12:1\nY:3.3\nr0:0.1 r1:0.3 r2:0.2 r3:0.1 V:1\nX:\n_p0:8\n_p1:2\n_p2:20\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:2\n_p11:1\n_p12:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:32\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:2\n_p12:1\nY:3.5\nr0:0.0 r1:0.3 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.4\nr0:0.0 r1:0.4 r2:0.1 r3:0.2 V:1\nX:\n_p0:2\n_p1:4\n_p2:20\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:2\n_p11:1\n_p12:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:8\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:1\n_p6:f\n_p7:c\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:1.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:2\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:2.3\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:1\n_p5:5\n_p6:f\n_p7:f\n_p8:c\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.3\nr0:0.0 r1:0.3 r2:0.1 r3:0.2 V:1\nX:\n_p0:8\n_p1:25\n_p2:10\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:8\nY:4.3\nr0:0.0 r1:0.4 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:80\n_p11:8\n_p12:80\nY:3.6\nr0:0.0 r1:0.4 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:4\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.1\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:5\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.2\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:5\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:4\n_p12:1\nY:3.0\nr0:0.0 r1:0.3 r2:0.3 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:4\n_p12:1\nY:3.3\nr0:0.0 r1:0.3 r2:0.3 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:32\n_p4:2\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.5\nr0:0.0 r1:0.4 r2:0.2 r3:0.1 V:1\nX:\n_p0:2\n_p1:4\n_p2:20\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:4\nY:4.3\nr0:0.0 r1:0.5 r2:0.2 r3:0.2 V:1\nTY:5.2\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:100\n_p6:f\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_syr2k(double alpha,double beta,double C[80][80],double A[80][60],double B[80][60])\n{\n  int i;\n  int j;\n  int k;\n//BLAS PARAMS\n//UPLO  = 'L'\n//TRANS = 'N'\n//A is NxM\n//B is NxM\n//C is NxN\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      if (j <= i) {\n        C[i][j] *= beta;\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p5}\n    \n#pragma ACCEL TILE FACTOR=auto{_p7}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (k = 0; k < 60; k++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        if (j <= i) {\n          C[i][j] += A[j][k] * alpha * B[i][k] + B[j][k] * alpha * A[i][k];\n        }\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:2\n_p2:5\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:2.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:4\n_p2:6\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:4\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:4\n_p2:5\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:3\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 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V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:30\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:2\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:6\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.4\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:2.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:8\n_p2:5\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.2\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:32\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:2\n_p2:3\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:30\n_p3:1\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.2\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:5\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:3\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:2\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:2\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:5\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:5.7\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nTY:7.4\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:5\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[120], double x2[120], double y_1[120], double y_2[120], double A[120][120])\n{\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 120; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 120; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:9.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:10\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.4\nr0:0.0 r1:0.0 r2:0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:120\n_p7:2\nY:2.6\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:6\n_p2:120\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:9.4\nr0:0.1 r1:0.8 r2:0.4 r3:1.2 V:0\nX:\n_p0:2\n_p1:1\n_p2:8\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:9.1\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:3\n_p2:32\n_p3:1\n_p4:c\n_p5:f\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:30\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:9.0\nr0:0.0 r1:1.0 r2:0.6 r3:1.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:10\n_p4:c\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:4\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.4\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:120\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:2\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.5 r2:0.2 r3:0.8 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V:1\nX:\n_p0:1\n_p1:5\n_p2:5\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.5 r2:0.3 r3:1.0 V:0\nX:\n_p0:8\n_p1:15\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:1\n_p7:2\nY:7.8\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:4\n_p1:1\n_p2:12\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:8.7\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:2\n_p1:6\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:8\nY:8.8\nr0:0.0 r1:0.8 r2:0.5 r3:1.5 V:0\nX:\n_p0:1\n_p1:12\n_p2:1\n_p3:3\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:10.0\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:32\n_p1:1\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.1\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:8\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:10.1\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:15\n_p1:1\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:120\nY:9.7\nr0:0.0 r1:1.5 r2:0.9 r3:2.9 V:0\nX:\n_p0:8\n_p1:4\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:32\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:8.6\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:6\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.8\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:10\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.1 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:24\n_p1:20\n_p2:1\n_p3:20\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:10.3\nr0:0.0 r1:2.5 r2:1.6 r3:4.8 V:0\nX:\n_p0:4\n_p1:1\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:120\nY:9.7\nr0:0.0 r1:0.4 r2:0.2 r3:0.8 V:1\nX:\n_p0:8\n_p1:5\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:8\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:120\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:10.7\nr0:0.1 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:8\n_p1:16\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:2\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:2\n_p7:8\nY:10.2\nr0:0.0 r1:0.4 r2:0.2 r3:0.4 V:1\nX:\n_p0:2\n_p1:20\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:10.4\nr0:0.0 r1:2.0 r2:1.2 r3:3.8 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:10\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:9.3\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:8\n_p1:4\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:10.1\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:5\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:4\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:2\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:3\n_p2:1\n_p3:2\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:7.8\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:2\n_p1:8\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:2\nY:10.5\nr0:0.0 r1:1.0 r2:0.6 r3:1.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:16\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:8\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:9.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:15\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:2\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:9.2\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:10\n_p2:1\n_p3:4\n_p4:f\n_p5:c\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_trmm(double alpha,double A[60][60],double B[60][80])\n{\n//BLAS parameters\n//SIDE   = 'L'\n//UPLO   = 'L'\n//TRANSA = 'T'\n//DIAG   = 'U'\n// => Form  B := alpha*A**T*B.\n// A is MxM\n// B is MxN\n  \n#pragma ACCEL PIPELINE auto{_p3}\n  \n#pragma ACCEL TILE FACTOR=auto{_p5}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (int i = 0; i < 60; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p4}\n    \n#pragma ACCEL TILE FACTOR=auto{_p6}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (int j = 0; j < 80; j++) {\n      \n#pragma ACCEL PARALLEL reduction=B FACTOR=auto{_p2}\n      for (int k = 0; k < 60; k++) {\n        if (k > i) {\n          B[i][j] += A[k][i] * B[k][j];\n        }\n      }\n      B[i][j] = alpha * B[i][j];\n    }\n  }\n}\n ```\nX:\n_p0:5\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:2\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:32\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:6\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:10\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:12\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:20\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:8\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:5\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:80\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:32\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:10\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:3\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.2\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:5\n_p2:3\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:8\n_p2:3\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:30\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:6\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:60\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:15\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:1.3\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:15\n_p3:o\n_p4:o\n_p5:1\n_p6:80\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_2mm(int ni,int nj,int nk,int nl,double alpha,double beta,double tmp[40][50],double A[40][70],double B[70][50],double C[50][80],double D[40][80])\n{\n  int i;\n  int j;\n  int k;\n  \n#pragma ACCEL PIPELINE auto{_p6}\n  \n#pragma ACCEL TILE FACTOR=auto{_p10}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 40; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p8}\n    \n#pragma ACCEL TILE FACTOR=auto{_p12}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (j = 0; j < 50; j++) {\n      tmp[i][j] = 0.0;\n      \n#pragma ACCEL PARALLEL reduction = tmp FACTOR=auto{_p4}\n      for (k = 0; k < 70; ++k) {\n        tmp[i][j] += alpha * A[i][k] * B[k][j];\n      }\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p7}\n  \n#pragma ACCEL TILE FACTOR=auto{_p11}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 40; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (j = 0; j < 80; j++) {\n      D[i][j] *= beta;\n      \n#pragma ACCEL PARALLEL reduction = D FACTOR=auto{_p5}\n      for (k = 0; k < 50; ++k) {\n        D[i][j] += tmp[i][k] * C[k][j];\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:1\n_p5:4\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.7\nr0:0.0 r1:2.4 r2:1.6 r3:5.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:8\nY:5.7\nr0:0.0 r1:0.4 r2:0.2 r3:0.8 V:1\nX:\n_p0:5\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:4\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:40\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:70\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:11.3\nr0:0.0 r1:2.6 r2:1.6 r3:5.7 V:0\nX:\n_p0:1\n_p1:20\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:5.9 r2:3.5 r3:13.1 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:2\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:20\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:2\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:c\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:8\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:32\n_p5:32\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:5\n_p4:1\n_p5:25\n_p6:f\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:6.0\nr0:0.0 r1:0.2 r2:0.1 r3:0.3 V:1\nX:\n_p0:1\n_p1:32\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:c\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:70\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:9.0\nr0:0.0 r1:0.8 r2:0.5 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:25\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.9\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nTY:3.3\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:14\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_trmm(double alpha,double A[60][60],double B[60][80])\n{\n//BLAS parameters\n//SIDE   = 'L'\n//UPLO   = 'L'\n//TRANSA = 'T'\n//DIAG   = 'U'\n// => Form  B := alpha*A**T*B.\n// A is MxM\n// B is MxN\n  \n#pragma ACCEL PIPELINE auto{_p3}\n  \n#pragma ACCEL TILE FACTOR=auto{_p5}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (int i = 0; i < 60; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p4}\n    \n#pragma ACCEL TILE FACTOR=auto{_p6}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (int j = 0; j < 80; j++) {\n      double sum = B[i][j];\n#pragma ACCEL PARALLEL reduction=sum FACTOR=auto{_p2}\n      for (int k = 0; k < 60; k++) {\n        if (k > i) {\n          sum += A[k][i] * B[k][j];\n        }\n      }\n      B[i][j] = alpha * sum;\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:2\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:4.8\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nTY:8.4\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:2\n_p2:60\n_p3:o\n_p4:o\n_p5:60\n_p6:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[200][240],double ey[200][240],double hz[200][240],double _fict_[100])\n{\n  int t;\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 100; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 240; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 0; j < 240; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (i = 0; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n      for (j = 1; j < 240; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 200 - 1; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 240 - 1; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:239\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.8\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:3\n_p6:1\n_p7:16\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:16\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.6 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-0.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:32\n_p2:2\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.3\nr0:0.7 r1:1.0 r2:0.9 r3:1.0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:4\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.1\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 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V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:8\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.5 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:8\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.3\nr0:0.6 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:20\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:25\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:239\n_p8:o\n_p9:o\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-0.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:239\n_p8:o\n_p9:f\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:239\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:10\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:2\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:1\n_p7:16\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.2\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:10\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:f\n_p9:o\n_p10:o\n_p11:o\n_p12:8\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:1\n_p7:8\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.2\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:20\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.4 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:2\n_p8:o\n_p9:o\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:32\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:16\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.5 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-3.2\nr0:0.5 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:239\n_p8:o\n_p9:f\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:1\n_p7:239\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.9\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:3\n_p6:1\n_p7:4\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.4\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:16\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.3\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:239\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:2\n_p1:32\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.3\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:200\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:4\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:199\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.5\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nTY:-0.0\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:199\n_p14:1\n_p15:199\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[400],double x2[400],double y_1[400],double y_2[400],double A[400][400])\n{\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 400; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 400; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:20\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:4.9\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:4\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:2\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:4.6\nr0:0.3 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:16\n_p1:25\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:2\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:25\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:5.1\nr0:0.3 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:2\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:4.6\nr0:0.3 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:5.7\nr0:0.2 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:10\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.1\nr0:0.4 r1:0.1 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:5\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.0\nr0:0.1 r1:0.0 r2:0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:25\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:8.3\nr0:0.2 r1:0.4 r2:0.2 r3:0.7 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:5.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:8\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:32\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:400\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:5.0\nr0:1.1 r1:1.5 r2:1.0 r3:3.2 V:0\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:16\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:8\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:5\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.9\nr0:0.1 r1:0.0 r2:0 r3:0.0 V:1\nX:\n_p0:20\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:25\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:4\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.8\nr0:0.3 r1:0.0 r2:0.0 r3:0 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r2:0.3 r3:0.8 V:1\nX:\n_p0:1\n_p1:4\n_p2:4\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:5.1\nr0:0.1 r1:1.5 r2:0.8 r3:2.6 V:0\nX:\n_p0:16\n_p1:400\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.8\nr0:0.2 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.0\nr0:0.3 r1:0.1 r2:0.1 r3:0.1 V:1\nX:\n_p0:5\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:6.9\nr0:0.3 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:32\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:8\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:4\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:7.2\nr0:0.4 r1:0.3 r2:0.2 r3:0.7 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:8\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.2 r1:0.3 r2:0.2 r3:0.7 V:1\nX:\n_p0:4\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:6.7\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:25\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:8\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:6.1\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:25\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:6.0\nr0:0.3 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:4\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:6.1\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:10\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:7.1\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:32\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:4.1\nr0:0.1 r1:0.9 r2:0.5 r3:1.3 V:0\nX:\n_p0:1\n_p1:1\n_p2:400\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:8\n_p7:1\nY:5.8\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:4\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:3.9\nr0:0.3 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:20\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:5\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:400\n_p7:1\nY:5.8\nr0:0.4 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:16\n_p1:20\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:2\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:10\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:8\n_p7:1\nY:6.4\nr0:0.4 r1:0.1 r2:0.1 r3:0.3 V:1\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:6.6\nr0:0.2 r1:1.5 r2:0.8 r3:2.6 V:0\nX:\n_p0:10\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:3.5\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:4\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:3.6\nr0:0.1 r1:1.5 r2:0.8 r3:2.6 V:0\nX:\n_p0:5\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:8\n_p7:400\nY:6.4\nr0:0.2 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:25\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:7.4\nr0:0.4 r1:0.3 r2:0.2 r3:0.7 V:1\nX:\n_p0:25\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:2\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:400\nY:5.7\nr0:0.5 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:20\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.4 r1:0.3 r2:0.2 r3:0.7 V:1\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:5\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:4.8\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nTY:7.4\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:8\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[60][80],double ey[60][80],double hz[60][80],double _fict_[40])\n{\n  int t;\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 40; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 60; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 60; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 1; j < 80; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n    for (i = 0; i < 59; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 79; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:2\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:2\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:59\n_p14:1\n_p15:8\nY:3.5\nr0:0.0 r1:1.0 r2:0.5 r3:0.8 V:0\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:20\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.7\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:4\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.5\nr0:0.0 r1:1.3 r2:0.7 r3:0.9 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:59\n_p14:60\n_p15:1\nY:1.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:79\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:8\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:4\n_p14:60\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:16\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.6\nr0:0.0 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:79\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.7\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:4\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.6\nr0:0.0 r1:1.2 r2:0.5 r3:0.9 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:59\n_p14:60\n_p15:4\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:1\nX:\n_p0:8\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:59\n_p14:60\n_p15:59\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:8.8\nr0:0.0 r1:0.4 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:6\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:79\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.7\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:4\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:6.6\nr0:0.0 r1:0.8 r2:0.4 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:2\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:2\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:4\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:8.9\nr0:0.0 r1:0.7 r2:0.3 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:1\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:8.0\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:79\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:4\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:6.7\nr0:0.0 r1:0.7 r2:0.3 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:2.7\nr0:0.1 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:16\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:8\n_p3:1\n_p4:2\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.0 r1:1.4 r2:0.7 r3:1.3 V:0\nX:\n_p0:8\n_p1:16\n_p2:1\n_p3:16\n_p4:2\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:59\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.8\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:32\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:79\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:2.9\nr0:0.0 r1:0.5 r2:0.2 r3:0.4 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:2.9\nr0:0.0 r1:0.5 r2:0.2 r3:0.4 V:1\nTY:2.9\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:79\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:2\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[60][80],double ey[60][80],double hz[60][80],double _fict_[40])\n{\n  int t;\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 40; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 60; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 60; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 1; j < 80; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n    for (i = 0; i < 59; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 79; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:16\n_p2:4\n_p3:1\n_p4:2\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.9\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:16\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:4\n_p3:1\n_p4:2\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.0 r1:0.8 r2:0.5 r3:0.6 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:f\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:59\n_p14:60\n_p15:59\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:79\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:3\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:79\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:2.7\nr0:0.1 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:2\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:6.7\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:32\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.0 r1:0.2 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:79\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.7\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:8\n_p3:1\n_p4:2\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.0 r1:1.4 r2:0.7 r3:1.3 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.7\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:32\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.6\nr0:0.0 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:79\n_p8:o\n_p9:f\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:8.1\nr0:0.0 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.5\nr0:0.0 r1:0.6 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:59\n_p3:16\n_p4:1\n_p5:32\n_p6:4\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.6\nr0:0.0 r1:1.3 r2:0.5 r3:0.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:8.1\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:59\nY:4.7\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:16\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:8.6\nr0:0.0 r1:0.4 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:16\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.2\nr0:0.0 r1:0.3 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:79\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:2.9\nr0:0.0 r1:0.5 r2:0.2 r3:0.4 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:79\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.6\nr0:0.0 r1:0.6 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:c\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:59\n_p14:60\n_p15:59\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:1\n_p5:32\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:59\n_p14:60\n_p15:59\nY:8.7\nr0:0.0 r1:0.4 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:79\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.6\nr0:0.0 r1:0.6 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:8\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.0 r1:0.2 r2:0.2 r3:0.2 V:1\nX:\n_p0:2\n_p1:16\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:59\n_p14:60\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:59\nY:5.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:79\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.5\nr0:0.0 r1:1.3 r2:0.7 r3:0.9 V:0\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:6.6\nr0:0.0 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:32\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.8\nr0:0.0 r1:0.4 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:2\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:6.6\nr0:0.0 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:4.1\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:79\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:2\nY:2.7\nr0:0.1 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:5.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:2\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.0 r1:0.4 r2:0.2 r3:0.3 V:1\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:4\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:40\n_p13:1\n_p14:1\n_p15:1\nY:6.7\nr0:0.0 r1:0.7 r2:0.3 r3:0.6 V:1\nX:\n_p0:16\n_p1:1\n_p2:59\n_p3:16\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:30\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:59\n_p3:16\n_p4:20\n_p5:32\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:16\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nTY:1.5\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:59\n_p7:2\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:59\n_p14:60\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_trmm(double alpha,double A[60][60],double B[60][80])\n{\n//BLAS parameters\n//SIDE   = 'L'\n//UPLO   = 'L'\n//TRANSA = 'T'\n//DIAG   = 'U'\n// => Form  B := alpha*A**T*B.\n// A is MxM\n// B is MxN\n  \n#pragma ACCEL PIPELINE auto{_p3}\n  \n#pragma ACCEL TILE FACTOR=auto{_p5}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (int i = 0; i < 60; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p4}\n    \n#pragma ACCEL TILE FACTOR=auto{_p6}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (int j = 0; j < 80; j++) {\n      double sum = B[i][j];\n#pragma ACCEL PARALLEL reduction=sum FACTOR=auto{_p2}\n      for (int k = 0; k < 60; k++) {\n        if (k > i) {\n          sum += A[k][i] * B[k][j];\n        }\n      }\n      B[i][j] = alpha * sum;\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:80\nY:10.1\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:8\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:8.7\nr0:0.0 r1:0.5 r2:0.3 r3:0.8 V:1\nX:\n_p0:10\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.9\nr0:0 r1:3.6 r2:16.1 r3:7.1 V:0\nX:\n_p0:1\n_p1:1\n_p2:30\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:5.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:12\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.0\nr0:0.0 r1:4.2 r2:17.6 r3:8.4 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:2.7\nr0:0.0 r1:0 r2:0 r3:0 V:1\nX:\n_p0:4\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.6\nr0:0 r1:2.0 r2:9.3 r3:3.7 V:0\nX:\n_p0:16\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:3\n_p1:4\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.6\nr0:0.0 r1:0.7 r2:5.0 r3:1.1 V:0\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:8.6\nr0:0 r1:1.2 r2:0.7 r3:1.9 V:0\nX:\n_p0:1\n_p1:2\n_p2:20\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:30\n_p3:o\n_p4:o\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:3\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:c\n_p4:f\n_p5:60\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:o\n_p4:c\n_p5:1\n_p6:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:2\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.5\nr0:0.0 r1:0.4 r2:2.5 r3:0.4 V:0\nX:\n_p0:1\n_p1:10\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:8\nY:8.5\nr0:0 r1:0.6 r2:0.3 r3:1.0 V:0\nX:\n_p0:4\n_p1:4\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.2\nr0:0.0 r1:0.9 r2:7.0 r3:1.5 V:0\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.6\nr0:0 r1:1.2 r2:0.7 r3:1.9 V:0\nX:\n_p0:4\n_p1:5\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:9.8\nr0:0.0 r1:1.0 r2:4.6 r3:1.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:4.8\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.2\nr0:0.0 r1:0.3 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:2\n_p2:60\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:c\n_p5:60\n_p6:1\nY:10.1\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:8.2\nr0:0.0 r1:0.3 r2:0.2 r3:0.5 V:1\nX:\n_p0:2\n_p1:16\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:16\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.5\nr0:0.0 r1:1.7 r2:5.8 r3:3.0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.6\nr0:0.0 r1:1.6 r2:7.4 r3:3.0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:4.3\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:20\n_p2:32\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:4.5\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:4.0\nr0:0.0 r1:0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:3.9\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:3\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.4\nr0:0.0 r1:1.5 r2:6.6 r3:2.8 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:4.2\nr0:0.0 r1:0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:32\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:5.0\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:4\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:8.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.4 V:1\nX:\n_p0:1\n_p1:16\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:8.7\nr0:0.0 r1:0.9 r2:0.6 r3:1.5 V:0\nX:\n_p0:1\n_p1:4\n_p2:15\n_p3:o\n_p4:c\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:5.0\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.7\nr0:0.0 r1:0.5 r2:0.3 r3:0.8 V:1\nX:\n_p0:6\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.1\nr0:0 r1:2.3 r2:11.0 r3:4.4 V:0\nX:\n_p0:10\n_p1:1\n_p2:32\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:8.2\nr0:0.0 r1:0.3 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:4\n_p2:5\n_p3:o\n_p4:c\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:4.4\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:16\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:8.7\nr0:0.0 r1:0.9 r2:0.6 r3:1.5 V:0\nX:\n_p0:1\n_p1:20\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:8.6\nr0:0 r1:1.2 r2:0.7 r3:1.9 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.7\nr0:0.0 r1:0.9 r2:0.6 r3:1.5 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:8\nY:8.5\nr0:0 r1:0.6 r2:0.3 r3:1.0 V:0\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:3.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:60\n_p3:c\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:4.8\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:2\n_p2:30\n_p3:o\n_p4:c\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:10\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:30\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.5\nr0:0 r1:0.6 r2:0.3 r3:1.0 V:0\nTY:4.9\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:15\n_p3:o\n_p4:o\n_p5:60\n_p6:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[400],double x2[400],double y_1[400],double y_2[400],double A[400][400])\n{\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 400; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 400; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n}\n ```\nX:\n_p0:25\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:8\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:16\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:7.0\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:5\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:16\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:25\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:8\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:4.5\nr0:0.1 r1:0.6 r2:0.3 r3:0.6 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:400\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:7.9\nr0:0.2 r1:0.9 r2:0.5 r3:1.3 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:20\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:7.9\nr0:0.4 r1:0.4 r2:0.2 r3:0.6 V:1\nX:\n_p0:2\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:8\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:20\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:6.2\nr0:0.9 r1:0.7 r2:0.4 r3:1.3 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:20\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:6.7\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:2\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:3.9\nr0:0.2 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:10\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:400\nY:7.1\nr0:0.4 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:2\n_p1:1\n_p2:16\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.0\nr0:0.3 r1:0.6 r2:0.3 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:3.2\nr0:0.3 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:7.9\nr0:0.0 r1:2.9 r2:1.7 r3:5.1 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:5\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:0\nX:\n_p0:10\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:5.0\nr0:0.3 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:400\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.7\nr0:0.2 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:16\n_p1:16\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:2\n_p7:1\nY:5.6\nr0:0.3 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:2\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:7.2\nr0:0.6 r1:0.6 r2:0.4 r3:1.3 V:0\nX:\n_p0:1\n_p1:2\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:400\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:10\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.1\nr0:0.4 r1:0.1 r2:0.1 r3:0.1 V:1\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:1\nY:5.9\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:8\n_p7:1\nY:5.8\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:20\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:400\nY:7.1\nr0:0.4 r1:0.2 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:400\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:8.0\nr0:0.2 r1:2.6 r2:1.6 r3:5.1 V:0\nX:\n_p0:25\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:1\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:7.8\nr0:0.3 r1:0.8 r2:0.4 r3:0.8 V:1\nX:\n_p0:5\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:6.6\nr0:0.2 r1:0.9 r2:0.5 r3:1.3 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:400\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:4.9\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:5\n_p2:1\n_p3:16\n_p4:f\n_p5:c\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_trmm(double alpha,double A[60][60],double B[60][80])\n{\n//BLAS parameters\n//SIDE   = 'L'\n//UPLO   = 'L'\n//TRANSA = 'T'\n//DIAG   = 'U'\n// => Form  B := alpha*A**T*B.\n// A is MxM\n// B is MxN\n  \n#pragma ACCEL PIPELINE auto{_p3}\n  \n#pragma ACCEL TILE FACTOR=auto{_p5}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (int i = 0; i < 60; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p4}\n    \n#pragma ACCEL TILE FACTOR=auto{_p6}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (int j = 0; j < 80; j++) {\n      double sum = B[i][j];\n#pragma ACCEL PARALLEL reduction=sum FACTOR=auto{_p2}\n      for (int k = 0; k < 60; k++) {\n        if (k > i) {\n          sum += A[k][i] * B[k][j];\n        }\n      }\n      B[i][j] = alpha * sum;\n    }\n  }\n}\n ```\nX:\n_p0:3\n_p1:16\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:32\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:o\n_p4:o\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:4.5\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:2\n_p2:60\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:3.9\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:2\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.5\nr0:0.0 r1:0.5 r2:6.7 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:10.1\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:3.9\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:c\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:8\nY:8.5\nr0:0 r1:0.6 r2:0.3 r3:1.0 V:0\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:4.9\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:20\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:8.6\nr0:0 r1:1.2 r2:0.7 r3:1.9 V:0\nX:\n_p0:1\n_p1:10\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:5\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.7\nr0:0.0 r1:1.9 r2:9.4 r3:3.7 V:0\nX:\n_p0:1\n_p1:10\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:5\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:9.8\nr0:0.0 r1:1.0 r2:4.6 r3:1.9 V:0\nX:\n_p0:6\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:80\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:4.0\nr0:0.0 r1:0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:2.7\nr0:0.0 r1:0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:10\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:8.5\nr0:0 r1:0.6 r2:0.3 r3:1.0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:8.7\nr0:0.0 r1:0.5 r2:0.3 r3:0.8 V:1\nX:\n_p0:1\n_p1:8\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:8.7\nr0:0.0 r1:0.5 r2:0.3 r3:0.8 V:1\nX:\n_p0:3\n_p1:2\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.3\nr0:0.0 r1:0.4 r2:4.7 r3:0.6 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:8.5\nr0:0 r1:0.6 r2:0.3 r3:1.0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:4.2\nr0:0.0 r1:0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:16\n_p2:8\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:4.8\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:3\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:4.4\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:4\n_p1:4\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.2\nr0:0.0 r1:0.9 r2:7.0 r3:1.5 V:0\nX:\n_p0:4\n_p1:16\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.7\nr0:0.0 r1:3.1 r2:14.8 r3:6.0 V:0\nX:\n_p0:1\n_p1:5\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:8.2\nr0:0.0 r1:0.3 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:20\n_p2:32\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:8.7\nr0:0.0 r1:0.9 r2:0.6 r3:1.5 V:0\nX:\n_p0:1\n_p1:10\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:c\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.6\nr0:0 r1:2.0 r2:9.3 r3:3.7 V:0\nX:\n_p0:1\n_p1:4\n_p2:20\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.7\nr0:0.0 r1:0.9 r2:0.6 r3:1.5 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.7\nr0:0.0 r1:0.5 r2:0.3 r3:0.8 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:4.2\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:20\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:8.6\nr0:0 r1:1.2 r2:0.7 r3:1.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:4.8\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:4\nY:8.6\nr0:0 r1:1.2 r2:0.7 r3:1.9 V:0\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:4.9\nr0:0.1 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.4 V:1\nX:\n_p0:1\n_p1:16\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:8.7\nr0:0.0 r1:0.9 r2:0.6 r3:1.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:3.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:20\n_p2:32\n_p3:o\n_p4:c\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:4\nY:8.6\nr0:0 r1:1.2 r2:0.7 r3:1.9 V:0\nX:\n_p0:1\n_p1:4\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:4.2\nr0:0.0 r1:0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:32\n_p2:32\n_p3:o\n_p4:o\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:8.2\nr0:0.0 r1:0.3 r2:0.2 r3:0.5 V:1\nTY:10.1\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:80\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_trmm(double alpha,double A[60][60],double B[60][80])\n{\n//BLAS parameters\n//SIDE   = 'L'\n//UPLO   = 'L'\n//TRANSA = 'T'\n//DIAG   = 'U'\n// => Form  B := alpha*A**T*B.\n// A is MxM\n// B is MxN\n  \n#pragma ACCEL PIPELINE auto{_p3}\n  \n#pragma ACCEL TILE FACTOR=auto{_p5}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (int i = 0; i < 60; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p4}\n    \n#pragma ACCEL TILE FACTOR=auto{_p6}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (int j = 0; j < 80; j++) {\n      \n#pragma ACCEL PARALLEL reduction=B FACTOR=auto{_p2}\n      for (int k = 0; k < 60; k++) {\n        if (k > i) {\n          B[i][j] += A[k][i] * B[k][j];\n        }\n      }\n      B[i][j] = alpha * B[i][j];\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.2\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:4\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.2\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:5\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:2\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:30\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:2\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:8\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:2\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 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V:0\nX:\n_p0:1\n_p1:2\n_p2:3\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:4\n_p2:2\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:o\n_p4:o\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.2\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:2\n_p2:10\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:1.3\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:80\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[400],double x2[400],double y_1[400],double y_2[400],double A[400][400])\n{\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 400; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 400; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n}\n ```\nX:\n_p0:20\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:1\nY:7.0\nr0:0.3 r1:0.1 r2:0.1 r3:0.1 V:1\nX:\n_p0:16\n_p1:5\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:2\n_p7:8\nY:4.9\nr0:1.0 r1:1.5 r2:0.9 r3:3.2 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:5\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:4.6\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.5\nr0:0.3 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:25\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:4.8\nr0:0.6 r1:0.6 r2:0.4 r3:1.3 V:0\nX:\n_p0:8\n_p1:16\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:1\nY:7.0\nr0:0.3 r1:0.1 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:4.1\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:8\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:10\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:7.1\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:3.5\nr0:0.3 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:8\n_p1:16\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:4\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:25\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:5\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:2\n_p7:400\nY:5.3\nr0:0.2 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:4\n_p7:1\nY:5.9\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:5\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:6.8\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:8\n_p1:16\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:4\n_p7:1\nY:5.9\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:16\n_p1:400\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:10\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:0\nX:\n_p0:16\n_p1:25\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:7.2\nr0:0.6 r1:0.6 r2:0.4 r3:1.3 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:2\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:3.5\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:10\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.1\nr0:0.1 r1:0.0 r2:0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:25\n_p3:25\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.6\nr0:0.4 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:25\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:4\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.1\nr0:0.4 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:400\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:8.0\nr0:0.2 r1:2.6 r2:1.6 r3:5.1 V:0\nX:\n_p0:5\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:1\nY:5.6\nr0:0.2 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:3.2\nr0:0.2 r1:0.0 r2:0 r3:0 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V:0\nX:\n_p0:25\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:2\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:5\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:5.8\nr0:0.2 r1:0.3 r2:0.2 r3:0.7 V:1\nX:\n_p0:25\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.1\nr0:0.3 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:20\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:400\nY:7.2\nr0:0.4 r1:0.1 r2:0.1 r3:0.1 V:1\nX:\n_p0:5\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:8\n_p7:1\nY:6.0\nr0:0.2 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:4.3\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:5\n_p2:25\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:4.8\nr0:1.1 r1:1.5 r2:0.9 r3:3.2 V:0\nX:\n_p0:1\n_p1:4\n_p2:8\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:6.0\nr0:0.1 r1:1.5 r2:0.8 r3:2.6 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:10\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:6.2\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:400\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:1\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:8\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:25\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:4\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:2\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:25\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:5\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:1\nY:5.1\nr0:0.2 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:32\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:1\n_p3:20\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:6.9\nr0:0.4 r1:0.4 r2:0.3 r3:0.6 V:1\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:8\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:8\n_p7:1\nY:5.8\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:4\n_p7:1\nY:5.9\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:4\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:4.8\nr0:0.3 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.4 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:2\nY:4.9\nr0:1.1 r1:1.8 r2:1.1 r3:3.8 V:0\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:400\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:6.0\nr0:0.2 r1:3.2 r2:2.0 r3:6.4 V:0\nX:\n_p0:5\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:25\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:6.8\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:10\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:6.8\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:4\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:6.1\nr0:0.4 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:5\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:2\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:4.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:25\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:2\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:10\n_p1:1\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:4\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:10\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.1\nr0:0.4 r1:0.1 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:400\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:6.0\nr0:0.2 r1:3.2 r2:2.0 r3:6.4 V:0\nX:\n_p0:20\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:25\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.3\nr0:0.3 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:5.6\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:32\n_p1:16\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:25\n_p3:2\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:3.7\nr0:0.2 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:32\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:10\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:5.7\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:400\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:6.1\nr0:0.9 r1:0.1 r2:0.0 r3:0.0 V:0\nX:\n_p0:25\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:400\nY:7.1\nr0:0.3 r1:0.1 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:2\n_p2:4\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:4.9\nr0:0.1 r1:0.9 r2:0.5 r3:1.3 V:0\nX:\n_p0:2\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:4\n_p7:400\nY:6.3\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:16\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:400\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:4.9\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:5\n_p2:1\n_p3:10\n_p4:f\n_p5:c\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_covariance(int m,int n,double float_n,double data[100][80],double cov[80][80],double mean[80])\n{\n  int i;\n  int j;\n  int k;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p6}\n  \n#pragma ACCEL TILE FACTOR=auto{_p10}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (j = 0; j < 80; j++) {\n    mean[j] = 0.0;\n    \n#pragma ACCEL PARALLEL reduction=mean FACTOR=auto{_p3}\n    for (i = 0; i < 100; i++) {\n      mean[j] += data[i][j];\n    }\n    mean[j] /= float_n;\n  }\n  \n#pragma ACCEL PIPELINE auto{_p7}\n  \n#pragma ACCEL TILE FACTOR=auto{_p11}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 100; i++) {\n    \n#pragma ACCEL PARALLEL reduction=data FACTOR=auto{_p4}\n    for (j = 0; j < 80; j++) {\n      data[i][j] -= mean[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    for (j = i; j < 80; j++) {\n      cov[i][j] = 0.0;\n      \n#pragma ACCEL PARALLEL reduction=cov FACTOR=auto{_p5}\n      for (k = 0; k < 100; k++) {\n        cov[i][j] += data[k][i] * data[k][j];\n      }\n      cov[i][j] /= float_n - 1.0;\n      cov[j][i] = cov[i][j];\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:5\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:2\n_p12:1\nY:3.0\nr0:0.0 r1:0.2 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:32\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.3\nr0:0.0 r1:0.3 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:5\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.1\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:2.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:20\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.8\nr0:0.0 r1:0.4 r2:0.2 r3:0.0 V:1\nX:\n_p0:8\n_p1:2\n_p2:1\n_p3:32\n_p4:1\n_p5:16\n_p6:c\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.8\nr0:0.0 r1:0.4 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:o\n_p7:f\n_p8:c\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:16\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.5\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.7\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:8\n_p1:2\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:4\n_p11:8\n_p12:80\nY:3.6\nr0:0.0 r1:0.6 r2:0.2 r3:0.2 V:1\nX:\n_p0:2\n_p1:1\n_p2:20\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:100\n_p12:4\nY:4.3\nr0:0.0 r1:0.5 r2:0.2 r3:0.2 V:1\nX:\n_p0:8\n_p1:5\n_p2:32\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.6\nr0:0.0 r1:0.5 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:4\n_p6:f\n_p7:o\n_p8:c\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:5\n_p2:20\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:4\nY:4.3\nr0:0.0 r1:0.4 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:32\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:25\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:4\n_p2:1\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:80\nY:4.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:100\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:7.2\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:4\n_p1:1\n_p2:10\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:100\n_p12:8\nY:4.3\nr0:0.0 r1:0.5 r2:0.2 r3:0.3 V:1\nX:\n_p0:4\n_p1:1\n_p2:20\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:100\n_p12:4\nY:4.3\nr0:0.0 r1:0.6 r2:0.2 r3:0.3 V:1\nX:\n_p0:8\n_p1:2\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:4\n_p11:8\n_p12:1\nY:3.6\nr0:0.0 r1:0.6 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:10\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:2\n_p12:1\nY:3.4\nr0:0.1 r1:0.2 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:1\n_p5:25\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.9\nr0:0.0 r1:0.6 r2:0.7 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:10\n_p6:f\n_p7:o\n_p8:c\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:2\n_p2:1\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:8\n_p11:1\n_p12:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:25\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:2\n_p12:1\nY:3.3\nr0:0.0 r1:0.3 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:10\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:32\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.7\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:32\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:2\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:c\n_p9:c\n_p10:1\n_p11:8\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:20\n_p2:1\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:80\nY:4.3\nr0:0.0 r1:0.3 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:1\n_p6:f\n_p7:o\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:25\n_p6:f\n_p7:f\n_p8:o\n_p9:c\n_p10:1\n_p11:4\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:1\n_p5:2\n_p6:f\n_p7:f\n_p8:c\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:1\n_p2:1\n_p3:32\n_p4:1\n_p5:16\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.8\nr0:0.0 r1:0.4 r2:0.1 r3:0.0 V:1\nX:\n_p0:8\n_p1:1\n_p2:1\n_p3:32\n_p4:1\n_p5:16\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.8\nr0:0.0 r1:0.4 r2:0.1 r3:0.0 V:1\nX:\n_p0:8\n_p1:2\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:2\n_p11:8\n_p12:80\nY:3.6\nr0:0.0 r1:0.5 r2:0.2 r3:0.2 V:1\nX:\n_p0:8\n_p1:5\n_p2:1\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:80\nY:4.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 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V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:100\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:5.0\nr0:0.1 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\nY:8.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:8\n_p1:16\n_p2:1\n_p3:32\n_p4:1\n_p5:16\n_p6:c\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.8\nr0:0.0 r1:1.2 r2:0.5 r3:0.6 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:20\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:2\n_p12:1\nY:3.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.1 V:1\nX:\n_p0:2\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:2\n_p11:100\n_p12:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:25\n_p2:1\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:2\n_p11:1\n_p12:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:1\n_p5:2\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:2.4\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:8\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:1\n_p4:1\n_p5:16\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:32\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:25\n_p6:o\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:1\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:1.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:32\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.5\nr0:0.0 r1:0.2 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:1\n_p2:1\n_p3:32\n_p4:1\n_p5:16\n_p6:c\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.8\nr0:0.0 r1:0.4 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:80\n_p11:100\n_p12:8\nY:4.3\nr0:0.0 r1:0.4 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:16\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:32\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.3\nr0:0.0 r1:0.3 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:32\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.7\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:32\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.7\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:2\n_p1:4\n_p2:10\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:8\nY:4.3\nr0:0.0 r1:0.4 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:5\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.2\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:20\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:10\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.5\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:5\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.2\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.2\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:4\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.1\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:5\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:32\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:80\n_p11:1\n_p12:1\nY:4.6\nr0:0.0 r1:0.5 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:32\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.5\nr0:0.0 r1:0.4 r2:0.2 r3:0.1 V:1\nX:\n_p0:16\n_p1:1\n_p2:32\n_p3:32\n_p4:8\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.6\nr0:0.0 r1:0.5 r2:0.2 r3:0.1 V:1\nTY:4.6\nTV:1\n", "outputs":"### outputs: _p0:8\n_p1:1\n_p2:32\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_trmm(double alpha,double A[60][60],double B[60][80])\n{\n//BLAS parameters\n//SIDE   = 'L'\n//UPLO   = 'L'\n//TRANSA = 'T'\n//DIAG   = 'U'\n// => Form  B := alpha*A**T*B.\n// A is MxM\n// B is MxN\n  \n#pragma ACCEL PIPELINE auto{_p3}\n  \n#pragma ACCEL TILE FACTOR=auto{_p5}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (int i = 0; i < 60; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p4}\n    \n#pragma ACCEL TILE FACTOR=auto{_p6}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (int j = 0; j < 80; j++) {\n      double sum = B[i][j];\n#pragma ACCEL PARALLEL reduction=sum FACTOR=auto{_p2}\n      for (int k = 0; k < 60; k++) {\n        if (k > i) {\n          sum += A[k][i] * B[k][j];\n        }\n      }\n      B[i][j] = alpha * sum;\n    }\n  }\n}\n ```\nX:\n_p0:2\n_p1:4\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.1\nr0:0.0 r1:0.5 r2:2.6 r3:0.8 V:0\nX:\n_p0:1\n_p1:5\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:8.2\nr0:0.0 r1:0.3 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:4.4\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:2\n_p1:1\n_p2:32\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:10\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:32\n_p3:o\n_p4:o\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.7\nr0:0.0 r1:0.9 r2:0.6 r3:1.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:30\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:5.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:3\n_p1:4\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.6\nr0:0.0 r1:0.7 r2:5.0 r3:1.1 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:8.5\nr0:0 r1:0.6 r2:0.3 r3:1.0 V:0\nX:\n_p0:1\n_p1:4\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:8.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.4 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:5.0\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:32\n_p2:30\n_p3:o\n_p4:c\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:8.6\nr0:0 r1:1.2 r2:0.7 r3:1.9 V:0\nX:\n_p0:1\n_p1:4\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:8.6\nr0:0 r1:1.2 r2:0.7 r3:1.9 V:0\nX:\n_p0:1\n_p1:16\n_p2:3\n_p3:o\n_p4:c\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:4.3\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:8\nY:8.5\nr0:0 r1:0.6 r2:0.3 r3:1.0 V:0\nX:\n_p0:1\n_p1:10\n_p2:30\n_p3:o\n_p4:o\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:4.5\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:o\n_p4:f\n_p5:60\n_p6:1\nY:8.7\nr0:0.0 r1:0.9 r2:0.6 r3:1.5 V:0\nX:\n_p0:1\n_p1:2\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:30\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:3\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.8\nr0:0.0 r1:1.2 r2:5.3 r3:2.3 V:0\nX:\n_p0:4\n_p1:4\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:11.2\nr0:0.0 r1:0.9 r2:7.0 r3:1.5 V:0\nTY:8.7\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:8\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_covariance(int m,int n,double float_n,double data[100][80],double cov[80][80],double mean[80])\n{\n  int i;\n  int j;\n  int k;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p6}\n  \n#pragma ACCEL TILE FACTOR=auto{_p10}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (j = 0; j < 80; j++) {\n    mean[j] = 0.0;\n    \n#pragma ACCEL PARALLEL reduction=mean FACTOR=auto{_p3}\n    for (i = 0; i < 100; i++) {\n      mean[j] += data[i][j];\n    }\n    mean[j] /= float_n;\n  }\n  \n#pragma ACCEL PIPELINE auto{_p7}\n  \n#pragma ACCEL TILE FACTOR=auto{_p11}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 100; i++) {\n    \n#pragma ACCEL PARALLEL reduction=data FACTOR=auto{_p4}\n    for (j = 0; j < 80; j++) {\n      data[i][j] -= mean[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    for (j = i; j < 80; j++) {\n      cov[i][j] = 0.0;\n      \n#pragma ACCEL PARALLEL reduction=cov FACTOR=auto{_p5}\n      for (k = 0; k < 100; k++) {\n        cov[i][j] += data[k][i] * data[k][j];\n      }\n      cov[i][j] /= float_n - 1.0;\n      cov[j][i] = cov[i][j];\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:2.3\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:20\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:20\n_p2:20\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:8\n_p11:1\n_p12:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:1\n_p5:4\n_p6:f\n_p7:f\n_p8:c\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:c\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:2\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:2\n_p11:8\n_p12:80\nY:3.6\nr0:0.0 r1:0.5 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:4\n_p2:32\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:4\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:5\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.2\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:100\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:5.0\nr0:0.1 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:32\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.5\nr0:0.0 r1:0.2 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:16\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.3\nr0:0.0 r1:0.4 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.5\nr0:0.0 r1:0.3 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:1\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:16\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\nY:8.1\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.3\nr0:0.0 r1:0.3 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:1.5\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:10\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 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V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:1\n_p5:16\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.6\nr0:0.0 r1:0.4 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:2\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:2.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:25\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:1\n_p2:20\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:100\n_p12:4\nY:4.3\nr0:0.0 r1:0.6 r2:0.2 r3:0.3 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:1\n_p5:20\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:1\n_p5:2\n_p6:f\n_p7:f\n_p8:c\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:2\n_p12:1\nY:3.3\nr0:0.0 r1:0.3 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:100\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:32\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.3\nr0:0.0 r1:0.3 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:100\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:8.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:80\n_p11:1\n_p12:80\nY:4.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:4\n_p1:4\n_p2:20\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:4\nY:4.3\nr0:0.0 r1:0.6 r2:0.2 r3:0.3 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:1\n_p5:2\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:2.4\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:32\n_p6:f\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:4\n_p2:1\n_p3:32\n_p4:1\n_p5:16\n_p6:c\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:20\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:2\n_p12:1\nY:3.4\nr0:0.0 r1:0.3 r2:0.2 r3:0.1 V:1\nX:\n_p0:8\n_p1:16\n_p2:32\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:16\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.5\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:32\n_p4:1\n_p5:16\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\nY:7.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:4\n_p2:32\n_p3:1\n_p4:8\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:80\n_p11:1\n_p12:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:5\n_p6:o\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:16\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:1\n_p5:4\n_p6:f\n_p7:f\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:2\n_p2:20\n_p3:32\n_p4:8\n_p5:1\n_p6:c\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:4\nY:4.3\nr0:0.0 r1:0.4 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:32\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:5\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.2\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:100\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:7.2\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\nY:8.0\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:20\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:5\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.2\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:4\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:4\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.0\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:10\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.7\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:32\n_p1:1\n_p2:32\n_p3:32\n_p4:8\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:8\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.3\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:32\n_p4:1\n_p5:1\n_p6:o\n_p7:f\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:1\n_p6:f\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:4.4\nr0:0.0 r1:0.4 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:10\n_p5:5\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.1\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:16\n_p1:1\n_p2:1\n_p3:32\n_p4:1\n_p5:16\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:3.8\nr0:0.0 r1:0.4 r2:0.1 r3:0.0 V:1\nX:\n_p0:8\n_p1:2\n_p2:1\n_p3:1\n_p4:1\n_p5:16\n_p6:f\n_p7:f\n_p8:c\n_p9:o\n_p10:2\n_p11:8\n_p12:1\nY:3.6\nr0:0.0 r1:0.5 r2:0.2 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:16\n_p5:20\n_p6:o\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:8\n_p12:1\nY:2.9\nr0:0.0 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:32\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:2\n_p12:1\nY:3.3\nr0:0.0 r1:0.3 r2:0.2 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:5\n_p5:2\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\nY:2.3\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nTY:3.0\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:4\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[400],double x2[400],double y_1[400],double y_2[400],double A[400][400])\n{\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 400; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 400; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 400; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n}\n ```\nX:\n_p0:2\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:2\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:32\n_p1:16\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:3.6\nr0:0.3 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:2\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:3.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:10\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:3.4\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:5.9\nr0:0.2 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:16\n_p1:16\n_p2:16\n_p3:32\n_p4:c\n_p5:c\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:2\n_p7:400\nY:0.1\nr0:0.4 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:25\n_p1:8\n_p2:16\n_p3:32\n_p4:c\n_p5:o\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:32\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:2\n_p7:400\nY:6.3\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:16\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:5.9\nr0:0.4 r1:0.4 r2:0.3 r3:0.7 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:5\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:6.3\nr0:0.2 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:16\n_p1:4\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:2\n_p7:1\nY:6.7\nr0:0.1 r1:1.5 r2:0.8 r3:2.6 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:4.5\nr0:0.3 r1:0.3 r2:0.2 r3:0.6 V:1\nX:\n_p0:10\n_p1:8\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:8\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:1\nY:7.9\nr0:0.2 r1:0.6 r2:0.3 r3:0.6 V:1\nX:\n_p0:16\n_p1:16\n_p2:16\n_p3:32\n_p4:o\n_p5:c\n_p6:8\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:400\n_p2:16\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nTY:7.1\nTV:1\n", "outputs":"### outputs: _p0:10\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:400\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_trmm(double alpha,double A[60][60],double B[60][80])\n{\n//BLAS parameters\n//SIDE   = 'L'\n//UPLO   = 'L'\n//TRANSA = 'T'\n//DIAG   = 'U'\n// => Form  B := alpha*A**T*B.\n// A is MxM\n// B is MxN\n  \n#pragma ACCEL PIPELINE auto{_p3}\n  \n#pragma ACCEL TILE FACTOR=auto{_p5}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (int i = 0; i < 60; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p4}\n    \n#pragma ACCEL TILE FACTOR=auto{_p6}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (int j = 0; j < 80; j++) {\n      \n#pragma ACCEL PARALLEL reduction=B FACTOR=auto{_p2}\n      for (int k = 0; k < 60; k++) {\n        if (k > i) {\n          B[i][j] += A[k][i] * B[k][j];\n        }\n      }\n      B[i][j] = alpha * B[i][j];\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:3\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:6\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.2\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:16\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:16\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:o\n_p4:c\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:15\n_p1:1\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:32\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:20\n_p2:4\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:80\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.2\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:10\n_p2:32\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.2\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:2\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:2\n_p1:20\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:o\n_p4:o\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:30\n_p1:1\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:4\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.2\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.3\nr0:0.0 r1:0.2 r2:0.0 r3:0 V:1\nX:\n_p0:5\n_p1:1\n_p2:1\n_p3:f\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:20\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:1.3\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:80\nY:1.2\nr0:0.0 r1:0.1 r2:0.0 r3:0 V:1\nTY:1.3\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:2\n_p3:o\n_p4:o\n_p5:1\n_p6:80\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_syr2k(double alpha,double beta,double C[80][80],double A[80][60],double B[80][60])\n{\n  int i;\n  int j;\n  int k;\n//BLAS PARAMS\n//UPLO  = 'L'\n//TRANS = 'N'\n//A is NxM\n//B is NxM\n//C is NxN\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      if (j <= i) {\n        C[i][j] *= beta;\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p5}\n    \n#pragma ACCEL TILE FACTOR=auto{_p7}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (k = 0; k < 60; k++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        if (j <= i) {\n          C[i][j] += A[j][k] * alpha * B[i][k] + B[j][k] * alpha * A[i][k];\n        }\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.2\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:6\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:3\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.2\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:2.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:10\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:8\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:4.3\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.5\nr0:0.0 r1:0.3 r2:0.2 r3:0.0 V:1\nX:\n_p0:10\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:8\nY:6.2\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.4\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:5\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:2\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:16\n_p4:c\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:5\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:2\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:1\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:5\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:6\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:1\nX:\n_p0:1\n_p1:2\n_p2:5\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:5.1\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:10\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.2\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:5.1\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.7\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.2\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:8\n_p2:2\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:10\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:5\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:8\nY:6.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:60\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:3\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:3\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:4\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:1\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:3\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:5\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:5\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:2.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:2\n_p2:4\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nTY:7.6\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:2\n_p2:2\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_syr2k(double alpha,double beta,double C[80][80],double A[80][60],double B[80][60])\n{\n  int i;\n  int j;\n  int k;\n//BLAS PARAMS\n//UPLO  = 'L'\n//TRANS = 'N'\n//A is NxM\n//B is NxM\n//C is NxN\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      if (j <= i) {\n        C[i][j] *= beta;\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p5}\n    \n#pragma ACCEL TILE FACTOR=auto{_p7}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (k = 0; k < 60; k++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        if (j <= i) {\n          C[i][j] += A[j][k] * alpha * B[i][k] + B[j][k] * alpha * A[i][k];\n        }\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:5.7\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:2\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:1\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:2\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:6\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:8\nY:6.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:2.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:30\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:5\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:4\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.8\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:6.5\nr0:0.0 r1:0.3 r2:0.5 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:8\nY:6.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:6\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:1\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:4.3\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:1\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:6.0\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:2\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:4\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:6\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.2\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:1\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:3\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:4\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:6\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:3\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:5\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.2\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:4\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.5\nr0:0.0 r1:0.3 r2:0.2 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:6\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:4\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.8\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:8\n_p2:6\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:60\nY:7.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nTY:7.7\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:16\n_p2:2\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_fdtd_2d(int tmax,int nx,int ny,double ex[200][240],double ey[200][240],double hz[200][240],double _fict_[100])\n{\n  int t;\n  int i;\n  int j;\n  \n#pragma ACCEL PIPELINE auto{_p8}\n  \n#pragma ACCEL TILE FACTOR=auto{_p12}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (t = 0; t < 100; t++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 240; j++) {\n      ey[0][j] = _fict_[t];\n    }\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (i = 1; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p5}\n      for (j = 0; j < 240; j++) {\n        ey[i][j] = ey[i][j] - 0.5 * (hz[i][j] - hz[i - 1][j]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p10}\n    \n#pragma ACCEL TILE FACTOR=auto{_p14}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (i = 0; i < 200; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p6}\n      for (j = 1; j < 240; j++) {\n        ex[i][j] = ex[i][j] - 0.5 * (hz[i][j] - hz[i][j - 1]);\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p11}\n    \n#pragma ACCEL TILE FACTOR=auto{_p15}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p4}\n    for (i = 0; i < 200 - 1; i++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p7}\n      for (j = 0; j < 240 - 1; j++) {\n        hz[i][j] = hz[i][j] - 0.7 * (ex[i][j + 1] - ex[i][j] + ey[i + 1][j] - ey[i][j]);\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-0.3\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.3\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:6\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:3.5\nr0:0.6 r1:1.0 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.5 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.0\nr0:0.5 r1:0.9 r2:0.5 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-0.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:6\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:32\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.7\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:6\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:239\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.2\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:f\n_p9:o\n_p10:o\n_p11:o\n_p12:2\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:1\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:1\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.4 r1:0.5 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.5\nr0:0.6 r1:0.7 r2:0.4 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:199\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-0.4\nr0:0.3 r1:0.1 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:4\n_p7:32\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.5 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-3.3\nr0:0.3 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:16\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.4\nr0:0.6 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:32\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:2.0\nr0:0.6 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:1\n_p8:o\n_p9:f\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:4\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.4\nr0:0.2 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.5 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:4\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.4\nr0:0.2 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.2 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:32\n_p1:16\n_p2:199\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:8\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.3\nr0:0.6 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:239\n_p8:o\n_p9:o\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.1\nr0:0.5 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:1\n_p8:f\n_p9:o\n_p10:o\n_p11:o\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:4\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.1\nr0:0.6 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:1\n_p6:1\n_p7:1\n_p8:o\n_p9:f\n_p10:f\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:32\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:1\n_p8:o\n_p9:o\n_p10:c\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:239\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:25\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 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V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:20\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:199\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:239\n_p7:8\n_p8:o\n_p9:o\n_p10:c\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.5\nr0:0.2 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:32\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.8\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:10\n_p1:16\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.8\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:8\n_p7:32\n_p8:o\n_p9:f\n_p10:o\n_p11:c\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:16\n_p1:16\n_p2:1\n_p3:1\n_p4:199\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:2\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-0.5\nr0:0.2 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:32\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.3\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:199\n_p3:16\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:1\n_p7:1\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.9\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:16\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:1\n_p7:16\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:1.2\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:6\n_p6:1\n_p7:32\n_p8:o\n_p9:o\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:2.0\nr0:0.4 r1:0.6 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-0.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:16\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:199\n_p14:1\n_p15:199\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:199\n_p5:1\n_p6:1\n_p7:4\n_p8:o\n_p9:f\n_p10:f\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-3.2\nr0:0.9 r1:0.6 r2:0.4 r3:0.5 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:1\n_p8:o\n_p9:o\n_p10:o\n_p11:f\n_p12:100\n_p13:1\n_p14:1\n_p15:1\nY:3.4\nr0:0.6 r1:0.9 r2:0.4 r3:0.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:32\n_p8:o\n_p9:f\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.6\nr0:0.5 r1:0.5 r2:0.3 r3:0.5 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:1\n_p7:2\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-0.1\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:32\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:0.8\nr0:0.1 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:1\n_p5:8\n_p6:32\n_p7:32\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:199\nY:-0.0\nr0:0.1 r1:0.2 r2:0.1 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:1\n_p7:8\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\nY:-0.2\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nTY:1.2\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:2\n_p6:239\n_p7:16\n_p8:o\n_p9:o\n_p10:o\n_p11:o\n_p12:1\n_p13:1\n_p14:1\n_p15:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_trmm(double alpha,double A[60][60],double B[60][80])\n{\n//BLAS parameters\n//SIDE   = 'L'\n//UPLO   = 'L'\n//TRANSA = 'T'\n//DIAG   = 'U'\n// => Form  B := alpha*A**T*B.\n// A is MxM\n// B is MxN\n  \n#pragma ACCEL PIPELINE auto{_p3}\n  \n#pragma ACCEL TILE FACTOR=auto{_p5}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (int i = 0; i < 60; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p4}\n    \n#pragma ACCEL TILE FACTOR=auto{_p6}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (int j = 0; j < 80; j++) {\n      double sum = B[i][j];\n#pragma ACCEL PARALLEL reduction=sum FACTOR=auto{_p2}\n      for (int k = 0; k < 60; k++) {\n        if (k > i) {\n          sum += A[k][i] * B[k][j];\n        }\n      }\n      B[i][j] = alpha * sum;\n    }\n  }\n}\n ```\nX:\n_p0:2\n_p1:32\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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r1:0.6 r2:0.3 r3:1.0 V:0\nX:\n_p0:1\n_p1:20\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:4\nY:8.6\nr0:0 r1:1.2 r2:0.7 r3:1.9 V:0\nX:\n_p0:1\n_p1:16\n_p2:60\n_p3:c\n_p4:c\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:16\n_p3:c\n_p4:o\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:8.6\nr0:0.0 r1:0.3 r2:0.2 r3:0.4 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:4.9\nr0:0.1 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:5\n_p1:8\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.7\nr0:0.0 r1:1.9 r2:9.4 r3:3.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:o\n_p4:c\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:4.3\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:10\n_p2:6\n_p3:o\n_p4:o\n_p5:1\n_p6:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:3\n_p1:1\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:60\n_p3:o\n_p4:c\n_p5:1\n_p6:1\nY:8.2\nr0:0.0 r1:0.3 r2:0.2 r3:0.5 V:1\nX:\n_p0:1\n_p1:16\n_p2:32\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:c\n_p4:f\n_p5:1\n_p6:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:4.2\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:3\n_p1:16\n_p2:1\n_p3:o\n_p4:f\n_p5:1\n_p6:1\nY:10.8\nr0:0.0 r1:2.4 r2:10.5 r3:4.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:30\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:5.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:60\n_p3:o\n_p4:o\n_p5:60\n_p6:1\nY:8.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:5\n_p2:60\n_p3:o\n_p4:o\n_p5:1\n_p6:1\nY:8.2\nr0:0.0 r1:0.3 r2:0.2 r3:0.5 V:1\nTY:5.3\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:60\n_p3:o\n_p4:o\n_p5:60\n_p6:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #include \"merlin_type_define.h\"\n#pragma ACCEL kernel\n\nvoid kernel_mvt(double x1[120], double x2[120], double y_1[120], double y_2[120], double A[120][120])\n{\n  int i;\n  int j;\n//#pragma scop\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x1 FACTOR=auto{_p2}\n    for (j = 0; j < 120; j++) {\n      x1[i] += A[i][j] * y_1[j];\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p5}\n  \n#pragma ACCEL TILE FACTOR=auto{_p7}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 120; i++) {\n    \n#pragma ACCEL PARALLEL reduction = x2 FACTOR=auto{_p3}\n    for (j = 0; j < 120; j++) {\n      x2[i] += A[j][i] * y_2[j];\n    }\n  }\n//#pragma endscop\n}\n ```\nX:\n_p0:1\n_p1:3\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:12\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:9.1\nr0:0.0 r1:0.8 r2:0.4 r3:1.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:2\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.4\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:6\n_p2:20\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:8.9\nr0:0.0 r1:0.6 r2:0.4 r3:1.2 V:0\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:8.6\nr0:0.0 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:8\n_p1:3\n_p2:8\n_p3:8\n_p4:c\n_p5:o\n_p6:2\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:6\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:9.1\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:24\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:9.3\nr0:0.3 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:8\n_p1:6\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:8\n_p7:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.4\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:9.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.2 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:6\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.3\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:2\n_p1:1\n_p2:10\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:8.2\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:8\n_p1:8\n_p2:8\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:8\n_p2:1\n_p3:32\n_p4:f\n_p5:c\n_p6:8\n_p7:1\nY:9.5\nr0:0.0 r1:0.3 r2:0.2 r3:0.4 V:1\nX:\n_p0:2\n_p1:15\n_p2:1\n_p3:1\n_p4:f\n_p5:f\n_p6:1\n_p7:4\nY:8.4\nr0:0.0 r1:1.6 r2:1.0 r3:3.3 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:1\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:12\n_p2:1\n_p3:5\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:10.1\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:8\n_p1:15\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:2\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:5\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:8\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:24\n_p3:10\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.7\nr0:0.1 r1:0.0 r2:0.0 r3:0 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V:0\nX:\n_p0:1\n_p1:5\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:120\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:10\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:2\nY:8.3\nr0:0.1 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:8\n_p2:120\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:11.3\nr0:0.1 r1:1.0 r2:0.5 r3:1.5 V:0\nX:\n_p0:4\n_p1:2\n_p2:8\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:8\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:5\n_p2:32\n_p3:1\n_p4:c\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:3\n_p4:f\n_p5:c\n_p6:1\n_p7:1\nY:9.8\nr0:0.1 r1:0.1 r2:0.1 r3:0.2 V:1\nX:\n_p0:8\n_p1:6\n_p2:8\n_p3:8\n_p4:c\n_p5:c\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:2\n_p1:1\n_p2:12\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:8.5\nr0:0.1 r1:0.0 r2:0.0 r3:0 V:1\nTY:10.7\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:2\n_p2:120\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_syr2k(double alpha,double beta,double C[80][80],double A[80][60],double B[80][60])\n{\n  int i;\n  int j;\n  int k;\n//BLAS PARAMS\n//UPLO  = 'L'\n//TRANS = 'N'\n//A is NxM\n//B is NxM\n//C is NxN\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      if (j <= i) {\n        C[i][j] *= beta;\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p5}\n    \n#pragma ACCEL TILE FACTOR=auto{_p7}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (k = 0; k < 60; k++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        if (j <= i) {\n          C[i][j] += A[j][k] * alpha * B[i][k] + B[j][k] * alpha * A[i][k];\n        }\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:10\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:4\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.1 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:5\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.5\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:2\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:4.3\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:5.9\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:2\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:5.1\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.3\nr0:0.0 r1:0.0 r2:0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:5\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:3\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:8\nY:5.7\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:5\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:3\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.4\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:4\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:8\nY:6.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:4\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.8\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 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V:1\nX:\n_p0:16\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:1\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:5.7\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:32\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:60\nY:7.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.6\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.5\nr0:0.0 r1:0.3 r2:0.2 r3:0.0 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V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:80\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:5\n_p3:20\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:32\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:2.3\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:8\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:16\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:3\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:10\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:5.1\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nTY:7.7\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:8\n_p2:6\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c #pragma ACCEL kernel\n\nvoid kernel_2mm(int ni,int nj,int nk,int nl,double alpha,double beta,double tmp[40][50],double A[40][70],double B[70][50],double C[50][80],double D[40][80])\n{\n  int i;\n  int j;\n  int k;\n  \n#pragma ACCEL PIPELINE auto{_p6}\n  \n#pragma ACCEL TILE FACTOR=auto{_p10}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 40; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p8}\n    \n#pragma ACCEL TILE FACTOR=auto{_p12}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (j = 0; j < 50; j++) {\n      tmp[i][j] = 0.0;\n      \n#pragma ACCEL PARALLEL reduction = tmp FACTOR=auto{_p4}\n      for (k = 0; k < 70; ++k) {\n        tmp[i][j] += alpha * A[i][k] * B[k][j];\n      }\n    }\n  }\n  \n#pragma ACCEL PIPELINE auto{_p7}\n  \n#pragma ACCEL TILE FACTOR=auto{_p11}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n  for (i = 0; i < 40; i++) {\n    \n#pragma ACCEL PIPELINE auto{_p9}\n    \n#pragma ACCEL TILE FACTOR=auto{_p13}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n    for (j = 0; j < 80; j++) {\n      D[i][j] *= beta;\n      \n#pragma ACCEL PARALLEL reduction = D FACTOR=auto{_p5}\n      for (k = 0; k < 50; ++k) {\n        D[i][j] += tmp[i][k] * C[k][j];\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:2\n_p12:50\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:80\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:10\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:4\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:c\n_p7:c\n_p8:c\n_p9:f\n_p10:40\n_p11:2\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:2\n_p5:8\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.8\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:5\n_p5:1\n_p6:o\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.3\nr0:0.0 r1:2.8 r2:1.9 r3:6.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:10\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.4\nr0:0.0 r1:0.0 r2:0.0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:5\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.1\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:40\n_p12:1\n_p13:1\nY:3.5\nr0:0.0 r1:2.5 r2:1.6 r3:5.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:8\n_p5:5\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.2\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:7\n_p5:4\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:4.2\nr0:0.0 r1:0.0 r2:0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:40\n_p11:1\n_p12:1\n_p13:1\nY:3.7\nr0:0.0 r1:2.9 r2:1.9 r3:6.5 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:4\n_p5:1\n_p6:o\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:16\n_p6:f\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:1\n_p5:16\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.4\nr0:0.0 r1:2.4 r2:1.6 r3:5.7 V:0\nX:\n_p0:1\n_p1:4\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:1.2 r2:0.7 r3:2.6 V:0\nX:\n_p0:1\n_p1:10\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:2\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:10\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:20\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:2\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:70\n_p5:1\n_p6:o\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:11.5\nr0:0.0 r1:2.6 r2:1.6 r3:5.7 V:0\nX:\n_p0:1\n_p1:8\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:8\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:40\n_p11:2\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:5\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:40\n_p11:8\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:40\n_p11:2\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:10\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:4\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:5\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:10.0\nr0:0.0 r1:0.2 r2:0.1 r3:0.4 V:1\nX:\n_p0:1\n_p1:4\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:40\n_p11:1\n_p12:1\n_p13:80\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:c\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:25\n_p6:o\n_p7:o\n_p8:f\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:1\n_p5:50\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:11.5\nr0:0.0 r1:2.5 r2:1.7 r3:5.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:16\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.0\nr0:0.0 r1:2.4 r2:1.6 r3:5.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:40\n_p12:50\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:2\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:4\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:2\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:1\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:40\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:f\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:4\n_p1:10\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:20\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:1\n_p11:2\n_p12:2\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:o\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:14\n_p5:1\n_p6:o\n_p7:f\n_p8:c\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:2\n_p3:1\n_p4:32\n_p5:1\n_p6:o\n_p7:c\n_p8:c\n_p9:f\n_p10:2\n_p11:1\n_p12:1\n_p13:80\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:2\n_p4:1\n_p5:32\n_p6:f\n_p7:o\n_p8:o\n_p9:c\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:4\n_p6:o\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:3.2\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:20\n_p4:1\n_p5:1\n_p6:o\n_p7:o\n_p8:f\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:10.9\nr0:0.0 r1:1.8 r2:0.7 r3:1.6 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:32\n_p6:f\n_p7:o\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:6.7\nr0:0.0 r1:2.5 r2:1.6 r3:5.7 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:4\n_p4:1\n_p5:1\n_p6:f\n_p7:o\n_p8:o\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:11.4\nr0:0.0 r1:2.5 r2:1.6 r3:5.7 V:0\nX:\n_p0:5\n_p1:1\n_p2:1\n_p3:1\n_p4:1\n_p5:1\n_p6:o\n_p7:f\n_p8:o\n_p9:o\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:10\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\nY:5.8\nr0:0.0 r1:3.1 r2:1.8 r3:6.6 V:0\nTY:5.8\nTV:0\n", "outputs":"### outputs: _p0:1\n_p1:8\n_p2:2\n_p3:8\n_p4:32\n_p5:1\n_p6:o\n_p7:o\n_p8:c\n_p9:f\n_p10:1\n_p11:1\n_p12:1\n_p13:1\n"}
{"inputs":"### inputs: You are an experienced hardware programmer, especially in High Level Synthesis (HLS) using the Merlin Compiler. Your goal is to optimize a program using Merlin-HLS pragma directives.\n\nBase code:\n ```c \n#pragma ACCEL kernel\n\nvoid kernel_syr2k(double alpha,double beta,double C[80][80],double A[80][60],double B[80][60])\n{\n  int i;\n  int j;\n  int k;\n//BLAS PARAMS\n//UPLO  = 'L'\n//TRANS = 'N'\n//A is NxM\n//B is NxM\n//C is NxN\n  \n#pragma ACCEL PIPELINE auto{_p4}\n  \n#pragma ACCEL TILE FACTOR=auto{_p6}\n  \n#pragma ACCEL PARALLEL FACTOR=auto{_p0}\n  for (i = 0; i < 80; i++) {\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p1}\n    for (j = 0; j < 80; j++) {\n      if (j <= i) {\n        C[i][j] *= beta;\n      }\n    }\n    \n#pragma ACCEL PIPELINE auto{_p5}\n    \n#pragma ACCEL TILE FACTOR=auto{_p7}\n    \n#pragma ACCEL PARALLEL FACTOR=auto{_p2}\n    for (k = 0; k < 60; k++) {\n      \n#pragma ACCEL PARALLEL FACTOR=auto{_p3}\n      for (j = 0; j < 80; j++) {\n        if (j <= i) {\n          C[i][j] += A[j][k] * alpha * B[i][k] + B[j][k] * alpha * A[i][k];\n        }\n      }\n    }\n  }\n}\n ```\nX:\n_p0:1\n_p1:2\n_p2:5\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.4\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:2\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:8\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.7\nr0:0.0 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:3\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.4\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.3\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.1 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:2\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.4\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:6.3\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.2\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:5\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.6\nr0:0.1 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:2\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:15\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:4\n_p3:4\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:4.2\nr0:0.0 r1:0.0 r2:0 r3:0 V:1\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:1\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:5\n_p3:16\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:5.1\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:5\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:6.4\nr0:0.0 r1:0.3 r2:0.2 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:10\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.7\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:12\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:3\n_p3:32\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:60\nY:7.1\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:10\n_p3:8\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:20\n_p1:1\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:20\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.0 r1:0.1 r2:0.0 r3:0.1 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:4.3\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:2\n_p3:10\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:8\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:8\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:16\n_p4:c\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:8\n_p2:1\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.2\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:1\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.2\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:2\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:1\n_p2:16\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:2\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:1\n_p3:16\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:5.9\nr0:0.1 r1:0.0 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:1\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:4\nY:5.1\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:4\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.7\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:8\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:6.2\nr0:0.0 r1:0.2 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:8\n_p2:4\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.8\nr0:0.0 r1:0.1 r2:0.1 r3:0.0 V:1\nX:\n_p0:1\n_p1:2\n_p2:16\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 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V:0\nX:\n_p0:1\n_p1:1\n_p2:6\n_p3:4\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:16\n_p2:3\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.6\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:4\n_p1:1\n_p2:1\n_p3:1\n_p4:f\n_p5:o\n_p6:4\n_p7:1\nY:-\nr0:0 r1:0 r2:0 r3:0 V:0\nX:\n_p0:1\n_p1:2\n_p2:3\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:4\n_p2:3\n_p3:80\n_p4:o\n_p5:o\n_p6:1\n_p7:1\nY:7.5\nr0:0.0 r1:0.1 r2:0.0 r3:0.0 V:1\nX:\n_p0:1\n_p1:1\n_p2:20\n_p3:1\n_p4:o\n_p5:f\n_p6:1\n_p7:2\nY:6.5\nr0:0.0 r1:0.3 r2:0.5 r3:0.0 V:1\nTY:7.5\nTV:1\n", "outputs":"### outputs: _p0:1\n_p1:1\n_p2:6\n_p3:80\n_p4:o\n_p5:c\n_p6:1\n_p7:1\n"}