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You are a helpful coding assistant specialized in converting HIP source code to AMD host assembly.
#include <hip/hip_runtime.h> #include <stdio.h> #include <iostream> using namespace std; __global__ void vec_add(float *A, float *B, float *C, int n_array){ int idx = blockIdx.x * blockDim.x + threadIdx.x; if(idx<n_array){ C[idx] = A[idx] + B[idx]; } } int main(){ int ngpus=2; hipGetDeviceCount(&ngpus); printf("Number ...
.text .file "vec_add_multi_gpus.hip" # Start of file scope inline assembly .globl _ZSt21ios_base_library_initv # End of file scope inline assembly .globl _Z22__device_stub__vec_addPfS_S_i # -- Begin function _Z22__device_stub__vec_addPfS_S_i ...
You are a helpful coding assistant specialized in converting from CUDA device assembly to AMD device assembly.
code for sm_80 Function : _Z7vec_addPfS_S_i .headerflags @"EF_CUDA_TEXMODE_UNIFIED EF_CUDA_64BIT_ADDRESS EF_CUDA_SM80 EF_CUDA_VIRTUAL_SM(EF_CUDA_SM80)" /*0000*/ MOV R1, c[0x0][0x28] ; /* 0x00000a0000017a02 */ /* 0x000fe40000000f00 */ /*0010*/ S2R R6, SR_CTAID.X ; /* 0x0000000000067919 */ /* 0x000e280000002500 */ /*0020...
.text .amdgcn_target "amdgcn-amd-amdhsa--gfx1100" .protected _Z7vec_addPfS_S_i .globl _Z7vec_addPfS_S_i .p2align 8 .type _Z7vec_addPfS_S_i,@function _Z7vec_addPfS_S_i: s_clause 0x1 s_load_b32 s2, s[0:1], 0x2c s_load_b32 s3, s[0:1], 0x18 s_waitcnt lgkmcnt(0) s_and_b32 s2, s2, 0xffff s_delay_...
You are a helpful coding assistant specialized in converting from CUDA host assembly to AMD host assembly.
.file "tmpxft_001940c3_00000000-6_vec_add_multi_gpus.cudafe1.cpp" .text #APP .globl _ZSt21ios_base_library_initv #NO_APP .type _ZL26__cudaUnregisterBinaryUtilv, @function _ZL26__cudaUnregisterBinaryUtilv: .LFB3672: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 movq _ZL20__cudaFatCubinHandle(%rip), %rdi ca...
.text .file "vec_add_multi_gpus.hip" # Start of file scope inline assembly .globl _ZSt21ios_base_library_initv # End of file scope inline assembly .globl _Z22__device_stub__vec_addPfS_S_i # -- Begin function _Z22__device_stub__vec_addPfS_S_i ...
You are a helpful coding assistant specialized in converting CUDA source code to CUDA device assembly.
// JCudaSimpleKernel.java から呼び出される CUDA カーネル関数 extern "C" __global__ void simpleKernel(float** input, int xsize, int ysize, float* output) { // X 方向については並列化されている const unsigned int x = blockDim.x * blockIdx.x + threadIdx.x; if (x < xsize) { // Y 方向については逐次足し算する // そのため、メモリアクセスの競合は考えなくても良い for (int y = 0; y < ysize; ++y...
code for sm_80 Function : simpleKernel .headerflags @"EF_CUDA_TEXMODE_UNIFIED EF_CUDA_64BIT_ADDRESS EF_CUDA_SM80 EF_CUDA_VIRTUAL_SM(EF_CUDA_SM80)" /*0000*/ IMAD.MOV.U32 R1, RZ, RZ, c[0x0][0x28] ; /* 0x00000a00ff017624 */ /* 0x000fe400078e00ff */ /*0010*/ S2R R4, SR_CTAID.X ; /* 0x0000000000047919 */ /* 0x000e2200000025...
You are a helpful coding assistant specialized in converting CUDA source code to CUDA host assembly.
// JCudaSimpleKernel.java から呼び出される CUDA カーネル関数 extern "C" __global__ void simpleKernel(float** input, int xsize, int ysize, float* output) { // X 方向については並列化されている const unsigned int x = blockDim.x * blockIdx.x + threadIdx.x; if (x < xsize) { // Y 方向については逐次足し算する // そのため、メモリアクセスの競合は考えなくても良い for (int y = 0; y < ysize; ++y...
.file "tmpxft_0002f0dc_00000000-6_JCudaSimpleKernel.cudafe1.cpp" .text #APP #NO_APP .type _ZL26__cudaUnregisterBinaryUtilv, @function _ZL26__cudaUnregisterBinaryUtilv: .LFB2029: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 movq _ZL20__cudaFatCubinHandle(%rip), %rdi call __cudaUnregisterFatBinary@PLT addq...
You are a helpful coding assistant specialized in converting CUDA source code to HIP/AMD source code.
// JCudaSimpleKernel.java から呼び出される CUDA カーネル関数 extern "C" __global__ void simpleKernel(float** input, int xsize, int ysize, float* output) { // X 方向については並列化されている const unsigned int x = blockDim.x * blockIdx.x + threadIdx.x; if (x < xsize) { // Y 方向については逐次足し算する // そのため、メモリアクセスの競合は考えなくても良い for (int y = 0; y < ysize; ++y...
#include <hip/hip_runtime.h> // JCudaSimpleKernel.java から呼び出される CUDA カーネル関数 extern "C" __global__ void simpleKernel(float** input, int xsize, int ysize, float* output) { // X 方向については並列化されている const unsigned int x = blockDim.x * blockIdx.x + threadIdx.x; if (x < xsize) { // Y 方向については逐次足し算する // そのため、メモリアクセスの競合は考えなくても良い f...
You are a helpful coding assistant specialized in converting HIP source code to AMD device assembly.
#include <hip/hip_runtime.h> // JCudaSimpleKernel.java から呼び出される CUDA カーネル関数 extern "C" __global__ void simpleKernel(float** input, int xsize, int ysize, float* output) { // X 方向については並列化されている const unsigned int x = blockDim.x * blockIdx.x + threadIdx.x; if (x < xsize) { // Y 方向については逐次足し算する // そのため、メモリアクセスの競合は考えなくても良い f...
.text .amdgcn_target "amdgcn-amd-amdhsa--gfx1100" .protected simpleKernel .globl simpleKernel .p2align 8 .type simpleKernel,@function simpleKernel: s_clause 0x1 s_load_b32 s4, s[0:1], 0x24 s_load_b64 s[2:3], s[0:1], 0x8 s_waitcnt lgkmcnt(0) s_and_b32 s4, s4, 0xffff s_cmp_gt_i32 s3...
You are a helpful coding assistant specialized in converting HIP source code to AMD host assembly.
#include <hip/hip_runtime.h> // JCudaSimpleKernel.java から呼び出される CUDA カーネル関数 extern "C" __global__ void simpleKernel(float** input, int xsize, int ysize, float* output) { // X 方向については並列化されている const unsigned int x = blockDim.x * blockIdx.x + threadIdx.x; if (x < xsize) { // Y 方向については逐次足し算する // そのため、メモリアクセスの競合は考えなくても良い f...
.text .file "JCudaSimpleKernel.hip" .globl __device_stub__simpleKernel # -- Begin function __device_stub__simpleKernel .p2align 4, 0x90 .type __device_stub__simpleKernel,@function __device_stub__simpleKernel: # @__device_stub__simpleKernel .cfi_startproc # %bb.0: subq $120, %rsp .cfi_def_cfa_offset 128 m...
You are a helpful coding assistant specialized in converting from CUDA device assembly to AMD device assembly.
code for sm_80 Function : simpleKernel .headerflags @"EF_CUDA_TEXMODE_UNIFIED EF_CUDA_64BIT_ADDRESS EF_CUDA_SM80 EF_CUDA_VIRTUAL_SM(EF_CUDA_SM80)" /*0000*/ IMAD.MOV.U32 R1, RZ, RZ, c[0x0][0x28] ; /* 0x00000a00ff017624 */ /* 0x000fe400078e00ff */ /*0010*/ S2R R4, SR_CTAID.X ; /* 0x0000000000047919 */ /* 0x000e2200000025...
.text .amdgcn_target "amdgcn-amd-amdhsa--gfx1100" .protected simpleKernel .globl simpleKernel .p2align 8 .type simpleKernel,@function simpleKernel: s_clause 0x1 s_load_b32 s4, s[0:1], 0x24 s_load_b64 s[2:3], s[0:1], 0x8 s_waitcnt lgkmcnt(0) s_and_b32 s4, s4, 0xffff s_cmp_gt_i32 s3...
You are a helpful coding assistant specialized in converting from CUDA host assembly to AMD host assembly.
.file "tmpxft_0002f0dc_00000000-6_JCudaSimpleKernel.cudafe1.cpp" .text #APP #NO_APP .type _ZL26__cudaUnregisterBinaryUtilv, @function _ZL26__cudaUnregisterBinaryUtilv: .LFB2029: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 movq _ZL20__cudaFatCubinHandle(%rip), %rdi call __cudaUnregisterFatBinary@PLT addq...
.text .file "JCudaSimpleKernel.hip" .globl __device_stub__simpleKernel # -- Begin function __device_stub__simpleKernel .p2align 4, 0x90 .type __device_stub__simpleKernel,@function __device_stub__simpleKernel: # @__device_stub__simpleKernel .cfi_startproc # %bb.0: subq $120, %rsp .cfi_def_cfa_offset 128 m...
You are a helpful coding assistant specialized in converting CUDA source code to CUDA device assembly.
#include <cuda_runtime.h> #include <stdio.h> void Generate(int* M, int width, int height) { for(int r = 0; r < height; r ++) { for(int c = 0;c< width; c++) { *(M + (r * width) + c) = r*width +c; } } } __global__ void MatrixAdd(int* A, int * B, int* C, int width, int height) { int r = threadIdx.x + blockIdx.x * blockDim...
code for sm_80 Function : _Z9MatrixAddPiS_S_ii .headerflags @"EF_CUDA_TEXMODE_UNIFIED EF_CUDA_64BIT_ADDRESS EF_CUDA_SM80 EF_CUDA_VIRTUAL_SM(EF_CUDA_SM80)" /*0000*/ IMAD.MOV.U32 R1, RZ, RZ, c[0x0][0x28] ; /* 0x00000a00ff017624 */ /* 0x000fc800078e00ff */ /*0010*/ S2R R2, SR_CTAID.X ; /* 0x0000000000027919 */ /* 0x000e22...
You are a helpful coding assistant specialized in converting CUDA source code to CUDA host assembly.
#include <cuda_runtime.h> #include <stdio.h> void Generate(int* M, int width, int height) { for(int r = 0; r < height; r ++) { for(int c = 0;c< width; c++) { *(M + (r * width) + c) = r*width +c; } } } __global__ void MatrixAdd(int* A, int * B, int* C, int width, int height) { int r = threadIdx.x + blockIdx.x * blockDim...
.file "tmpxft_00040dd5_00000000-6_matrixAdd.cudafe1.cpp" .text #APP #NO_APP .type _ZL26__cudaUnregisterBinaryUtilv, @function _ZL26__cudaUnregisterBinaryUtilv: .LFB2061: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 movq _ZL20__cudaFatCubinHandle(%rip), %rdi call __cudaUnregisterFatBinary@PLT addq $8, %rs...
You are a helpful coding assistant specialized in converting CUDA source code to HIP/AMD source code.
#include <cuda_runtime.h> #include <stdio.h> void Generate(int* M, int width, int height) { for(int r = 0; r < height; r ++) { for(int c = 0;c< width; c++) { *(M + (r * width) + c) = r*width +c; } } } __global__ void MatrixAdd(int* A, int * B, int* C, int width, int height) { int r = threadIdx.x + blockIdx.x * blockDim...
#include <hip/hip_runtime.h> void MatrixAddOnDevice(int width, int height); void Generate(int* M, int width, int height);
You are a helpful coding assistant specialized in converting HIP source code to AMD device assembly.
#include <hip/hip_runtime.h> void MatrixAddOnDevice(int width, int height); void Generate(int* M, int width, int height);
.text .p2alignl 7, 3214868480 .fill 96, 4, 3214868480 .type __hip_cuid_,@object .section .bss,"aw",@nobits .globl __hip_cuid_ __hip_cuid_: .byte 0 .size __hip_cuid_, 1 .ident "AMD clang version 18.0.0git (https://github.com/RadeonOpenCompute/llvm-project roc-6.3.2 25012 e5bf7...
You are a helpful coding assistant specialized in converting HIP source code to AMD host assembly.
#include <hip/hip_runtime.h> void MatrixAddOnDevice(int width, int height); void Generate(int* M, int width, int height);
.text .file "matrixAdd.hip" .type __hip_cuid_,@object # @__hip_cuid_ .bss .globl __hip_cuid_ __hip_cuid_: .byte 0 # 0x0 .size __hip_cuid_, 1 .section ".linker-options","e",@llvm_linker_options .ident "AMD clang version 18.0.0git (https://github.com/RadeonOpenCompute/llvm-projec...
You are a helpful coding assistant specialized in converting from CUDA device assembly to AMD device assembly.
code for sm_80 Function : _Z9MatrixAddPiS_S_ii .headerflags @"EF_CUDA_TEXMODE_UNIFIED EF_CUDA_64BIT_ADDRESS EF_CUDA_SM80 EF_CUDA_VIRTUAL_SM(EF_CUDA_SM80)" /*0000*/ IMAD.MOV.U32 R1, RZ, RZ, c[0x0][0x28] ; /* 0x00000a00ff017624 */ /* 0x000fc800078e00ff */ /*0010*/ S2R R2, SR_CTAID.X ; /* 0x0000000000027919 */ /* 0x000e22...
.text .p2alignl 7, 3214868480 .fill 96, 4, 3214868480 .type __hip_cuid_,@object .section .bss,"aw",@nobits .globl __hip_cuid_ __hip_cuid_: .byte 0 .size __hip_cuid_, 1 .ident "AMD clang version 18.0.0git (https://github.com/RadeonOpenCompute/llvm-project roc-6.3.2 25012 e5bf7...
You are a helpful coding assistant specialized in converting from CUDA host assembly to AMD host assembly.
.file "tmpxft_00040dd5_00000000-6_matrixAdd.cudafe1.cpp" .text #APP #NO_APP .type _ZL26__cudaUnregisterBinaryUtilv, @function _ZL26__cudaUnregisterBinaryUtilv: .LFB2061: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 movq _ZL20__cudaFatCubinHandle(%rip), %rdi call __cudaUnregisterFatBinary@PLT addq $8, %rs...
.text .file "matrixAdd.hip" .type __hip_cuid_,@object # @__hip_cuid_ .bss .globl __hip_cuid_ __hip_cuid_: .byte 0 # 0x0 .size __hip_cuid_, 1 .section ".linker-options","e",@llvm_linker_options .ident "AMD clang version 18.0.0git (https://github.com/RadeonOpenCompute/llvm-projec...
You are a helpful coding assistant specialized in converting CUDA source code to CUDA device assembly.
#include <stdio.h> __global__ void firstParallel() { printf("This should be running in parallel.\n"); } int main() { firstParallel<<<5,5>>>(); cudaDeviceSynchronize(); }
code for sm_80 Function : _Z13firstParallelv .headerflags @"EF_CUDA_TEXMODE_UNIFIED EF_CUDA_64BIT_ADDRESS EF_CUDA_SM80 EF_CUDA_VIRTUAL_SM(EF_CUDA_SM80)" /*0000*/ IMAD.MOV.U32 R1, RZ, RZ, c[0x0][0x28] ; /* 0x00000a00ff017624 */ /* 0x000fe400078e00ff */ /*0010*/ MOV R0, 0x0 ; /* 0x0000000000007802 */ /* 0x000fe20000000f0...
You are a helpful coding assistant specialized in converting CUDA source code to CUDA host assembly.
#include <stdio.h> __global__ void firstParallel() { printf("This should be running in parallel.\n"); } int main() { firstParallel<<<5,5>>>(); cudaDeviceSynchronize(); }
.file "tmpxft_00057930_00000000-6_02-parallel-gpu.cudafe1.cpp" .text #APP #NO_APP .type _ZL26__cudaUnregisterBinaryUtilv, @function _ZL26__cudaUnregisterBinaryUtilv: .LFB2060: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 movq _ZL20__cudaFatCubinHandle(%rip), %rdi call __cudaUnregisterFatBinary@PLT addq $...
You are a helpful coding assistant specialized in converting CUDA source code to HIP/AMD source code.
#include <stdio.h> __global__ void firstParallel() { printf("This should be running in parallel.\n"); } int main() { firstParallel<<<5,5>>>(); cudaDeviceSynchronize(); }
#include <hip/hip_runtime.h> #include <stdio.h> __global__ void firstParallel() { printf("This should be running in parallel.\n"); } int main() { firstParallel<<<5,5>>>(); hipDeviceSynchronize(); }
You are a helpful coding assistant specialized in converting HIP source code to AMD device assembly.
#include <hip/hip_runtime.h> #include <stdio.h> __global__ void firstParallel() { printf("This should be running in parallel.\n"); } int main() { firstParallel<<<5,5>>>(); hipDeviceSynchronize(); }
.text .amdgcn_target "amdgcn-amd-amdhsa--gfx1100" .protected _Z13firstParallelv .globl _Z13firstParallelv .p2align 8 .type _Z13firstParallelv,@function _Z13firstParallelv: s_load_b64 s[2:3], s[0:1], 0x50 v_mbcnt_lo_u32_b32 v20, -1, 0 v_mov_b32_e32 v6, 0 s_delay_alu instid0(VALU_DEP_2) | insts...
You are a helpful coding assistant specialized in converting HIP source code to AMD host assembly.
#include <hip/hip_runtime.h> #include <stdio.h> __global__ void firstParallel() { printf("This should be running in parallel.\n"); } int main() { firstParallel<<<5,5>>>(); hipDeviceSynchronize(); }
.text .file "02-parallel-gpu.hip" .globl _Z28__device_stub__firstParallelv # -- Begin function _Z28__device_stub__firstParallelv .p2align 4, 0x90 .type _Z28__device_stub__firstParallelv,@function _Z28__device_stub__firstParallelv: # @_Z28__device_stub__firstParallelv .cfi_startproc # %bb.0: subq $56, %rsp .cfi_def...
You are a helpful coding assistant specialized in converting from CUDA device assembly to AMD device assembly.
code for sm_80 Function : _Z13firstParallelv .headerflags @"EF_CUDA_TEXMODE_UNIFIED EF_CUDA_64BIT_ADDRESS EF_CUDA_SM80 EF_CUDA_VIRTUAL_SM(EF_CUDA_SM80)" /*0000*/ IMAD.MOV.U32 R1, RZ, RZ, c[0x0][0x28] ; /* 0x00000a00ff017624 */ /* 0x000fe400078e00ff */ /*0010*/ MOV R0, 0x0 ; /* 0x0000000000007802 */ /* 0x000fe20000000f0...
.text .amdgcn_target "amdgcn-amd-amdhsa--gfx1100" .protected _Z13firstParallelv .globl _Z13firstParallelv .p2align 8 .type _Z13firstParallelv,@function _Z13firstParallelv: s_load_b64 s[2:3], s[0:1], 0x50 v_mbcnt_lo_u32_b32 v20, -1, 0 v_mov_b32_e32 v6, 0 s_delay_alu instid0(VALU_DEP_2) | insts...
You are a helpful coding assistant specialized in converting from CUDA host assembly to AMD host assembly.
.file "tmpxft_00057930_00000000-6_02-parallel-gpu.cudafe1.cpp" .text #APP #NO_APP .type _ZL26__cudaUnregisterBinaryUtilv, @function _ZL26__cudaUnregisterBinaryUtilv: .LFB2060: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 movq _ZL20__cudaFatCubinHandle(%rip), %rdi call __cudaUnregisterFatBinary@PLT addq $...
.text .file "02-parallel-gpu.hip" .globl _Z28__device_stub__firstParallelv # -- Begin function _Z28__device_stub__firstParallelv .p2align 4, 0x90 .type _Z28__device_stub__firstParallelv,@function _Z28__device_stub__firstParallelv: # @_Z28__device_stub__firstParallelv .cfi_startproc # %bb.0: subq $56, %rsp .cfi_def...
You are a helpful coding assistant specialized in converting CUDA source code to CUDA host assembly.
#include <iostream> #include <cuda.h> #include <math.h> #include <fstream> using namespace std; #define BLOCKSIZE 32 //test code /*void mat(const float*A , const float* B, float* C, const int N, const int M, const int K) { int i,j,l; #pragma omp parallel for shared(A,B,C) private(i,j,l) for(i=0; i<N; i++) { for(l=0; l<...
.file "tmpxft_000a041a_00000000-6_nmfgpu.cudafe1.cpp" .text #APP .globl _ZSt21ios_base_library_initv #NO_APP .type _ZL26__cudaUnregisterBinaryUtilv, @function _ZL26__cudaUnregisterBinaryUtilv: .LFB3803: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 movq _ZL20__cudaFatCubinHandle(%rip), %rdi call __cudaUnr...
You are a helpful coding assistant specialized in converting CUDA source code to HIP/AMD source code.
#include <iostream> #include <cuda.h> #include <math.h> #include <fstream> using namespace std; #define BLOCKSIZE 32 //test code /*void mat(const float*A , const float* B, float* C, const int N, const int M, const int K) { int i,j,l; #pragma omp parallel for shared(A,B,C) private(i,j,l) for(i=0; i<N; i++) { for(l=0; l<...
#include <iostream> #include <hip/hip_runtime.h> #include <math.h> #include <fstream> using namespace std; #define BLOCKSIZE 32 //test code /*void mat(const float*A , const float* B, float* C, const int N, const int M, const int K) { int i,j,l; #pragma omp parallel for shared(A,B,C) private(i,j,l) for(i=0; i<N; i++) { ...
You are a helpful coding assistant specialized in converting HIP source code to AMD device assembly.
#include <iostream> #include <hip/hip_runtime.h> #include <math.h> #include <fstream> using namespace std; #define BLOCKSIZE 32 //test code /*void mat(const float*A , const float* B, float* C, const int N, const int M, const int K) { int i,j,l; #pragma omp parallel for shared(A,B,C) private(i,j,l) for(i=0; i<N; i++) { ...
.text .amdgcn_target "amdgcn-amd-amdhsa--gfx1100" .protected _Z4nmfwPfiiiS_S_S_ .globl _Z4nmfwPfiiiS_S_S_ .p2align 8 .type _Z4nmfwPfiiiS_S_S_,@function _Z4nmfwPfiiiS_S_S_: s_clause 0x2 s_load_b32 s2, s[0:1], 0x3c s_load_b32 s6, s[0:1], 0x10 s_load_b32 s3, s[0:1], 0x8 v_and_b32_e32 v1, 0x3ff, ...
You are a helpful coding assistant specialized in converting HIP source code to AMD host assembly.
#include <iostream> #include <hip/hip_runtime.h> #include <math.h> #include <fstream> using namespace std; #define BLOCKSIZE 32 //test code /*void mat(const float*A , const float* B, float* C, const int N, const int M, const int K) { int i,j,l; #pragma omp parallel for shared(A,B,C) private(i,j,l) for(i=0; i<N; i++) { ...
.text .file "nmfgpu.hip" # Start of file scope inline assembly .globl _ZSt21ios_base_library_initv # End of file scope inline assembly .globl _Z19__device_stub__nmfwPfiiiS_S_S_ # -- Begin function _Z19__device_stub__nmfwPfiiiS_S_S_ .p2align 4...
You are a helpful coding assistant specialized in converting from CUDA host assembly to AMD host assembly.
.file "tmpxft_000a041a_00000000-6_nmfgpu.cudafe1.cpp" .text #APP .globl _ZSt21ios_base_library_initv #NO_APP .type _ZL26__cudaUnregisterBinaryUtilv, @function _ZL26__cudaUnregisterBinaryUtilv: .LFB3803: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 movq _ZL20__cudaFatCubinHandle(%rip), %rdi call __cudaUnr...
.text .file "nmfgpu.hip" # Start of file scope inline assembly .globl _ZSt21ios_base_library_initv # End of file scope inline assembly .globl _Z19__device_stub__nmfwPfiiiS_S_S_ # -- Begin function _Z19__device_stub__nmfwPfiiiS_S_S_ .p2align 4...
You are a helpful coding assistant specialized in converting CUDA source code to CUDA device assembly.
#include <stdio.h> #include <stdlib.h> #include <time.h> #include <cuda_runtime_api.h> #include <cuda.h> #define START_RED printf("\033[1;31m"); #define START_GRN printf("\033[1;32m"); #define START_YLW printf("\033[1;33m"); #define START_BLU printf("\033[1;34m"); #define END printf("\033[0m"); #define ONE_SEC (1000 * ...
code for sm_80
You are a helpful coding assistant specialized in converting CUDA source code to CUDA host assembly.
#include <stdio.h> #include <stdlib.h> #include <time.h> #include <cuda_runtime_api.h> #include <cuda.h> #define START_RED printf("\033[1;31m"); #define START_GRN printf("\033[1;32m"); #define START_YLW printf("\033[1;33m"); #define START_BLU printf("\033[1;34m"); #define END printf("\033[0m"); #define ONE_SEC (1000 * ...
.file "tmpxft_000ecdd3_00000000-6_memcpy_test.cudafe1.cpp" .text #APP #NO_APP .type _ZL26__cudaUnregisterBinaryUtilv, @function _ZL26__cudaUnregisterBinaryUtilv: .LFB2066: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 movq _ZL20__cudaFatCubinHandle(%rip), %rdi call __cudaUnregisterFatBinary@PLT addq $8, %...
You are a helpful coding assistant specialized in converting CUDA source code to HIP/AMD source code.
#include <stdio.h> #include <stdlib.h> #include <time.h> #include <cuda_runtime_api.h> #include <cuda.h> #define START_RED printf("\033[1;31m"); #define START_GRN printf("\033[1;32m"); #define START_YLW printf("\033[1;33m"); #define START_BLU printf("\033[1;34m"); #define END printf("\033[0m"); #define ONE_SEC (1000 * ...
#include <stdio.h> #include <stdlib.h> #include <time.h> #include <hip/hip_runtime_api.h> #include <hip/hip_runtime.h> #define START_RED printf("\033[1;31m"); #define START_GRN printf("\033[1;32m"); #define START_YLW printf("\033[1;33m"); #define START_BLU printf("\033[1;34m"); #define END printf("\033[0m"); #define ON...
You are a helpful coding assistant specialized in converting HIP source code to AMD device assembly.
#include <stdio.h> #include <stdlib.h> #include <time.h> #include <hip/hip_runtime_api.h> #include <hip/hip_runtime.h> #define START_RED printf("\033[1;31m"); #define START_GRN printf("\033[1;32m"); #define START_YLW printf("\033[1;33m"); #define START_BLU printf("\033[1;34m"); #define END printf("\033[0m"); #define ON...
.text .p2alignl 7, 3214868480 .fill 96, 4, 3214868480 .type __hip_cuid_,@object .section .bss,"aw",@nobits .globl __hip_cuid_ __hip_cuid_: .byte 0 .size __hip_cuid_, 1 .ident "AMD clang version 18.0.0git (https://github.com/RadeonOpenCompute/llvm-project roc-6.3.2 25012 e5bf7...
You are a helpful coding assistant specialized in converting HIP source code to AMD host assembly.
#include <stdio.h> #include <stdlib.h> #include <time.h> #include <hip/hip_runtime_api.h> #include <hip/hip_runtime.h> #define START_RED printf("\033[1;31m"); #define START_GRN printf("\033[1;32m"); #define START_YLW printf("\033[1;33m"); #define START_BLU printf("\033[1;34m"); #define END printf("\033[0m"); #define ON...
.text .file "memcpy_test.hip" .globl _Z14monotonic_timev # -- Begin function _Z14monotonic_timev .p2align 4, 0x90 .type _Z14monotonic_timev,@function _Z14monotonic_timev: # @_Z14monotonic_timev .cfi_startproc # %bb.0: subq $24, %rsp .cfi_def_cfa_offset 32 leaq 8(%rsp), %rsi movl $1, %edi ...
You are a helpful coding assistant specialized in converting from CUDA device assembly to AMD device assembly.
code for sm_80
.text .p2alignl 7, 3214868480 .fill 96, 4, 3214868480 .type __hip_cuid_,@object .section .bss,"aw",@nobits .globl __hip_cuid_ __hip_cuid_: .byte 0 .size __hip_cuid_, 1 .ident "AMD clang version 18.0.0git (https://github.com/RadeonOpenCompute/llvm-project roc-6.3.2 25012 e5bf7...
You are a helpful coding assistant specialized in converting from CUDA host assembly to AMD host assembly.
.file "tmpxft_000ecdd3_00000000-6_memcpy_test.cudafe1.cpp" .text #APP #NO_APP .type _ZL26__cudaUnregisterBinaryUtilv, @function _ZL26__cudaUnregisterBinaryUtilv: .LFB2066: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 movq _ZL20__cudaFatCubinHandle(%rip), %rdi call __cudaUnregisterFatBinary@PLT addq $8, %...
.text .file "memcpy_test.hip" .globl _Z14monotonic_timev # -- Begin function _Z14monotonic_timev .p2align 4, 0x90 .type _Z14monotonic_timev,@function _Z14monotonic_timev: # @_Z14monotonic_timev .cfi_startproc # %bb.0: subq $24, %rsp .cfi_def_cfa_offset 32 leaq 8(%rsp), %rsi movl $1, %edi ...
You are a helpful coding assistant specialized in converting CUDA source code to CUDA device assembly.
/** * demonstration of shared memory. Kernel performs task of contracting consecutive vector elements. example: * RADIUS = 1 (means three consecutive numbers, (current, left and right), are added up) * input: 1 3 4 2 8 1 2 * output: 4 8 9 14 11 11 3 */ #include <stdio.h> #include <stdlib.h> #define THREADS_PER_BLOCK 4...
code for sm_80 Function : _Z12contr_vec_1dPiS_ .headerflags @"EF_CUDA_TEXMODE_UNIFIED EF_CUDA_64BIT_ADDRESS EF_CUDA_SM80 EF_CUDA_VIRTUAL_SM(EF_CUDA_SM80)" /*0000*/ IMAD.MOV.U32 R1, RZ, RZ, c[0x0][0x28] ; /* 0x00000a00ff017624 */ /* 0x000fe400078e00ff */ /*0010*/ S2R R7, SR_TID.X ; /* 0x0000000000077919 */ /* 0x000e2200...
You are a helpful coding assistant specialized in converting CUDA source code to CUDA host assembly.
/** * demonstration of shared memory. Kernel performs task of contracting consecutive vector elements. example: * RADIUS = 1 (means three consecutive numbers, (current, left and right), are added up) * input: 1 3 4 2 8 1 2 * output: 4 8 9 14 11 11 3 */ #include <stdio.h> #include <stdlib.h> #define THREADS_PER_BLOCK 4...
.file "tmpxft_0018b985_00000000-6_contr_vec.cudafe1.cpp" .text #APP #NO_APP .type _ZL26__cudaUnregisterBinaryUtilv, @function _ZL26__cudaUnregisterBinaryUtilv: .LFB2061: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 movq _ZL20__cudaFatCubinHandle(%rip), %rdi call __cudaUnregisterFatBinary@PLT addq $8, %rs...
You are a helpful coding assistant specialized in converting CUDA source code to HIP/AMD source code.
/** * demonstration of shared memory. Kernel performs task of contracting consecutive vector elements. example: * RADIUS = 1 (means three consecutive numbers, (current, left and right), are added up) * input: 1 3 4 2 8 1 2 * output: 4 8 9 14 11 11 3 */ #include <stdio.h> #include <stdlib.h> #define THREADS_PER_BLOCK 4...
/** * demonstration of shared memory. Kernel performs task of contracting consecutive vector elements. example: * RADIUS = 1 (means three consecutive numbers, (current, left and right), are added up) * input: 1 3 4 2 8 1 2 * output: 4 8 9 14 11 11 3 */ #include <hip/hip_runtime.h> #include <stdio.h> #include <stdlib.h...
You are a helpful coding assistant specialized in converting HIP source code to AMD device assembly.
/** * demonstration of shared memory. Kernel performs task of contracting consecutive vector elements. example: * RADIUS = 1 (means three consecutive numbers, (current, left and right), are added up) * input: 1 3 4 2 8 1 2 * output: 4 8 9 14 11 11 3 */ #include <hip/hip_runtime.h> #include <stdio.h> #include <stdlib.h...
.text .amdgcn_target "amdgcn-amd-amdhsa--gfx1100" .protected _Z12contr_vec_1dPiS_ .globl _Z12contr_vec_1dPiS_ .p2align 8 .type _Z12contr_vec_1dPiS_,@function _Z12contr_vec_1dPiS_: s_clause 0x1 s_load_b32 s4, s[0:1], 0x1c s_load_b64 s[2:3], s[0:1], 0x0 v_lshlrev_b32_e32 v6, 2, v0 s_waitcnt lgkmcnt...
You are a helpful coding assistant specialized in converting HIP source code to AMD host assembly.
/** * demonstration of shared memory. Kernel performs task of contracting consecutive vector elements. example: * RADIUS = 1 (means three consecutive numbers, (current, left and right), are added up) * input: 1 3 4 2 8 1 2 * output: 4 8 9 14 11 11 3 */ #include <hip/hip_runtime.h> #include <stdio.h> #include <stdlib.h...
.text .file "contr_vec.hip" .globl _Z27__device_stub__contr_vec_1dPiS_ # -- Begin function _Z27__device_stub__contr_vec_1dPiS_ .p2align 4, 0x90 .type _Z27__device_stub__contr_vec_1dPiS_,@function _Z27__device_stub__contr_vec_1dPiS_: # @_Z27__device_stub__contr_vec_1dPiS_ .cfi_startproc # %bb.0: subq $88, %rsp .cfi_d...
You are a helpful coding assistant specialized in converting from CUDA device assembly to AMD device assembly.
code for sm_80 Function : _Z12contr_vec_1dPiS_ .headerflags @"EF_CUDA_TEXMODE_UNIFIED EF_CUDA_64BIT_ADDRESS EF_CUDA_SM80 EF_CUDA_VIRTUAL_SM(EF_CUDA_SM80)" /*0000*/ IMAD.MOV.U32 R1, RZ, RZ, c[0x0][0x28] ; /* 0x00000a00ff017624 */ /* 0x000fe400078e00ff */ /*0010*/ S2R R7, SR_TID.X ; /* 0x0000000000077919 */ /* 0x000e2200...
.text .amdgcn_target "amdgcn-amd-amdhsa--gfx1100" .protected _Z12contr_vec_1dPiS_ .globl _Z12contr_vec_1dPiS_ .p2align 8 .type _Z12contr_vec_1dPiS_,@function _Z12contr_vec_1dPiS_: s_clause 0x1 s_load_b32 s4, s[0:1], 0x1c s_load_b64 s[2:3], s[0:1], 0x0 v_lshlrev_b32_e32 v6, 2, v0 s_waitcnt lgkmcnt...
You are a helpful coding assistant specialized in converting from CUDA host assembly to AMD host assembly.
.file "tmpxft_0018b985_00000000-6_contr_vec.cudafe1.cpp" .text #APP #NO_APP .type _ZL26__cudaUnregisterBinaryUtilv, @function _ZL26__cudaUnregisterBinaryUtilv: .LFB2061: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 movq _ZL20__cudaFatCubinHandle(%rip), %rdi call __cudaUnregisterFatBinary@PLT addq $8, %rs...
.text .file "contr_vec.hip" .globl _Z27__device_stub__contr_vec_1dPiS_ # -- Begin function _Z27__device_stub__contr_vec_1dPiS_ .p2align 4, 0x90 .type _Z27__device_stub__contr_vec_1dPiS_,@function _Z27__device_stub__contr_vec_1dPiS_: # @_Z27__device_stub__contr_vec_1dPiS_ .cfi_startproc # %bb.0: subq $88, %rsp .cfi_d...
You are a helpful coding assistant specialized in converting CUDA source code to CUDA device assembly.
/** * Implementation of a Simple Matrix Multiplication kernel using CUDA * * @author: Yvo Elling * @date: 10-03-23 */ #include <stdio.h> #include <iostream> #include <cstdint> #include <chrono> #include <array> #define NROF_TEST_RUNS 500 #define MATRIX_WIDTH 8192 #define MATRIX_HEIGHT 8192 #define MATRIX_SIZE MATRIX_WI...
code for sm_80 Function : _Z24matrixMultiplicationCUDAIiEvPT_S1_S1_ .headerflags @"EF_CUDA_TEXMODE_UNIFIED EF_CUDA_64BIT_ADDRESS EF_CUDA_SM80 EF_CUDA_VIRTUAL_SM(EF_CUDA_SM80)" /*0000*/ MOV R1, c[0x0][0x28] ; /* 0x00000a0000017a02 */ /* 0x000fe40000000f00 */ /*0010*/ S2R R7, SR_CTAID.X ; /* 0x0000000000077919 */ /* 0x00...
You are a helpful coding assistant specialized in converting CUDA source code to CUDA host assembly.
/** * Implementation of a Simple Matrix Multiplication kernel using CUDA * * @author: Yvo Elling * @date: 10-03-23 */ #include <stdio.h> #include <iostream> #include <cstdint> #include <chrono> #include <array> #define NROF_TEST_RUNS 500 #define MATRIX_WIDTH 8192 #define MATRIX_HEIGHT 8192 #define MATRIX_SIZE MATRIX_WI...
.file "tmpxft_0005e000_00000000-6_matrixmul_cuda.cudafe1.cpp" .text #APP .globl _ZSt21ios_base_library_initv #NO_APP .type _ZL55__device_stub__Z24matrixMultiplicationCUDAIiEvPT_S1_S1_PiS_S_, @function _ZL55__device_stub__Z24matrixMultiplicationCUDAIiEvPT_S1_S1_PiS_S_: .LFB3837: .cfi_startproc subq $136, %rsp .cfi_def_c...
You are a helpful coding assistant specialized in converting CUDA source code to HIP/AMD source code.
/** * Implementation of a Simple Matrix Multiplication kernel using CUDA * * @author: Yvo Elling * @date: 10-03-23 */ #include <stdio.h> #include <iostream> #include <cstdint> #include <chrono> #include <array> #define NROF_TEST_RUNS 500 #define MATRIX_WIDTH 8192 #define MATRIX_HEIGHT 8192 #define MATRIX_SIZE MATRIX_WI...
/** * Implementation of a Simple Matrix Multiplication kernel using CUDA * * @author: Yvo Elling * @date: 10-03-23 */ #include <hip/hip_runtime.h> #include <stdio.h> #include <iostream> #include <cstdint> #include <chrono> #include <array> #define NROF_TEST_RUNS 500 #define MATRIX_WIDTH 8192 #define MATRIX_HEIGHT 8192 ...
You are a helpful coding assistant specialized in converting HIP source code to AMD device assembly.
/** * Implementation of a Simple Matrix Multiplication kernel using CUDA * * @author: Yvo Elling * @date: 10-03-23 */ #include <hip/hip_runtime.h> #include <stdio.h> #include <iostream> #include <cstdint> #include <chrono> #include <array> #define NROF_TEST_RUNS 500 #define MATRIX_WIDTH 8192 #define MATRIX_HEIGHT 8192 ...
.text .amdgcn_target "amdgcn-amd-amdhsa--gfx1100" .section .text._Z24matrixMultiplicationCUDAIiEvPT_S1_S1_,"axG",@progbits,_Z24matrixMultiplicationCUDAIiEvPT_S1_S1_,comdat .protected _Z24matrixMultiplicationCUDAIiEvPT_S1_S1_ .globl _Z24matrixMultiplicationCUDAIiEvPT_S1_S1_ .p2align 8 .type _Z24matrixMultiplicationCUDA...
You are a helpful coding assistant specialized in converting HIP source code to AMD host assembly.
/** * Implementation of a Simple Matrix Multiplication kernel using CUDA * * @author: Yvo Elling * @date: 10-03-23 */ #include <hip/hip_runtime.h> #include <stdio.h> #include <iostream> #include <cstdint> #include <chrono> #include <array> #define NROF_TEST_RUNS 500 #define MATRIX_WIDTH 8192 #define MATRIX_HEIGHT 8192 ...
.text .file "matrixmul_cuda.hip" # Start of file scope inline assembly .globl _ZSt21ios_base_library_initv # End of file scope inline assembly .section .rodata.cst4,"aM",@progbits,4 .p2align 2, 0x0 # -- Begin function...
You are a helpful coding assistant specialized in converting from CUDA device assembly to AMD device assembly.
code for sm_80 Function : _Z24matrixMultiplicationCUDAIiEvPT_S1_S1_ .headerflags @"EF_CUDA_TEXMODE_UNIFIED EF_CUDA_64BIT_ADDRESS EF_CUDA_SM80 EF_CUDA_VIRTUAL_SM(EF_CUDA_SM80)" /*0000*/ MOV R1, c[0x0][0x28] ; /* 0x00000a0000017a02 */ /* 0x000fe40000000f00 */ /*0010*/ S2R R7, SR_CTAID.X ; /* 0x0000000000077919 */ /* 0x00...
.text .amdgcn_target "amdgcn-amd-amdhsa--gfx1100" .section .text._Z24matrixMultiplicationCUDAIiEvPT_S1_S1_,"axG",@progbits,_Z24matrixMultiplicationCUDAIiEvPT_S1_S1_,comdat .protected _Z24matrixMultiplicationCUDAIiEvPT_S1_S1_ .globl _Z24matrixMultiplicationCUDAIiEvPT_S1_S1_ .p2align 8 .type _Z24matrixMultiplicationCUDA...
You are a helpful coding assistant specialized in converting from CUDA host assembly to AMD host assembly.
.file "tmpxft_0005e000_00000000-6_matrixmul_cuda.cudafe1.cpp" .text #APP .globl _ZSt21ios_base_library_initv #NO_APP .type _ZL55__device_stub__Z24matrixMultiplicationCUDAIiEvPT_S1_S1_PiS_S_, @function _ZL55__device_stub__Z24matrixMultiplicationCUDAIiEvPT_S1_S1_PiS_S_: .LFB3837: .cfi_startproc subq $136, %rsp .cfi_def_c...
.text .file "matrixmul_cuda.hip" # Start of file scope inline assembly .globl _ZSt21ios_base_library_initv # End of file scope inline assembly .section .rodata.cst4,"aM",@progbits,4 .p2align 2, 0x0 # -- Begin function...
You are a helpful coding assistant specialized in converting CUDA source code to CUDA device assembly.
#include "includes.h" __global__ void vecProduct(int *d_x, int *d_y, int *d_z, int N) { int idx = blockIdx.x * blockDim.x + threadIdx.x; if (idx < N) { d_z[idx] = d_x[idx] * d_y[idx]; } }
code for sm_80 Function : _Z10vecProductPiS_S_i .headerflags @"EF_CUDA_TEXMODE_UNIFIED EF_CUDA_64BIT_ADDRESS EF_CUDA_SM80 EF_CUDA_VIRTUAL_SM(EF_CUDA_SM80)" /*0000*/ MOV R1, c[0x0][0x28] ; /* 0x00000a0000017a02 */ /* 0x000fe40000000f00 */ /*0010*/ S2R R6, SR_CTAID.X ; /* 0x0000000000067919 */ /* 0x000e280000002500 */ /*...
You are a helpful coding assistant specialized in converting CUDA source code to CUDA host assembly.
#include "includes.h" __global__ void vecProduct(int *d_x, int *d_y, int *d_z, int N) { int idx = blockIdx.x * blockDim.x + threadIdx.x; if (idx < N) { d_z[idx] = d_x[idx] * d_y[idx]; } }
.file "tmpxft_000ea991_00000000-6_vecProduct.cudafe1.cpp" .text #APP #NO_APP .type _ZL26__cudaUnregisterBinaryUtilv, @function _ZL26__cudaUnregisterBinaryUtilv: .LFB2029: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 movq _ZL20__cudaFatCubinHandle(%rip), %rdi call __cudaUnregisterFatBinary@PLT addq $8, %r...
You are a helpful coding assistant specialized in converting CUDA source code to HIP/AMD source code.
#include "includes.h" __global__ void vecProduct(int *d_x, int *d_y, int *d_z, int N) { int idx = blockIdx.x * blockDim.x + threadIdx.x; if (idx < N) { d_z[idx] = d_x[idx] * d_y[idx]; } }
#include <hip/hip_runtime.h> #include "includes.h" __global__ void vecProduct(int *d_x, int *d_y, int *d_z, int N) { int idx = blockIdx.x * blockDim.x + threadIdx.x; if (idx < N) { d_z[idx] = d_x[idx] * d_y[idx]; } }
You are a helpful coding assistant specialized in converting HIP source code to AMD device assembly.
#include <hip/hip_runtime.h> #include "includes.h" __global__ void vecProduct(int *d_x, int *d_y, int *d_z, int N) { int idx = blockIdx.x * blockDim.x + threadIdx.x; if (idx < N) { d_z[idx] = d_x[idx] * d_y[idx]; } }
.text .amdgcn_target "amdgcn-amd-amdhsa--gfx1100" .protected _Z10vecProductPiS_S_i .globl _Z10vecProductPiS_S_i .p2align 8 .type _Z10vecProductPiS_S_i,@function _Z10vecProductPiS_S_i: s_clause 0x1 s_load_b32 s2, s[0:1], 0x2c s_load_b32 s3, s[0:1], 0x18 s_waitcnt lgkmcnt(0) s_and_b32 s2, s2, 0xffff ...
You are a helpful coding assistant specialized in converting HIP source code to AMD host assembly.
#include <hip/hip_runtime.h> #include "includes.h" __global__ void vecProduct(int *d_x, int *d_y, int *d_z, int N) { int idx = blockIdx.x * blockDim.x + threadIdx.x; if (idx < N) { d_z[idx] = d_x[idx] * d_y[idx]; } }
.text .file "vecProduct.hip" .globl _Z25__device_stub__vecProductPiS_S_i # -- Begin function _Z25__device_stub__vecProductPiS_S_i .p2align 4, 0x90 .type _Z25__device_stub__vecProductPiS_S_i,@function _Z25__device_stub__vecProductPiS_S_i: # @_Z25__device_stub__vecProductPiS_S_i .cfi_startproc # %bb.0: subq $120, %rsp ...
You are a helpful coding assistant specialized in converting from CUDA device assembly to AMD device assembly.
code for sm_80 Function : _Z10vecProductPiS_S_i .headerflags @"EF_CUDA_TEXMODE_UNIFIED EF_CUDA_64BIT_ADDRESS EF_CUDA_SM80 EF_CUDA_VIRTUAL_SM(EF_CUDA_SM80)" /*0000*/ MOV R1, c[0x0][0x28] ; /* 0x00000a0000017a02 */ /* 0x000fe40000000f00 */ /*0010*/ S2R R6, SR_CTAID.X ; /* 0x0000000000067919 */ /* 0x000e280000002500 */ /*...
.text .amdgcn_target "amdgcn-amd-amdhsa--gfx1100" .protected _Z10vecProductPiS_S_i .globl _Z10vecProductPiS_S_i .p2align 8 .type _Z10vecProductPiS_S_i,@function _Z10vecProductPiS_S_i: s_clause 0x1 s_load_b32 s2, s[0:1], 0x2c s_load_b32 s3, s[0:1], 0x18 s_waitcnt lgkmcnt(0) s_and_b32 s2, s2, 0xffff ...
You are a helpful coding assistant specialized in converting from CUDA host assembly to AMD host assembly.
.file "tmpxft_000ea991_00000000-6_vecProduct.cudafe1.cpp" .text #APP #NO_APP .type _ZL26__cudaUnregisterBinaryUtilv, @function _ZL26__cudaUnregisterBinaryUtilv: .LFB2029: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 movq _ZL20__cudaFatCubinHandle(%rip), %rdi call __cudaUnregisterFatBinary@PLT addq $8, %r...
.text .file "vecProduct.hip" .globl _Z25__device_stub__vecProductPiS_S_i # -- Begin function _Z25__device_stub__vecProductPiS_S_i .p2align 4, 0x90 .type _Z25__device_stub__vecProductPiS_S_i,@function _Z25__device_stub__vecProductPiS_S_i: # @_Z25__device_stub__vecProductPiS_S_i .cfi_startproc # %bb.0: subq $120, %rsp ...
You are a helpful coding assistant specialized in converting CUDA source code to CUDA device assembly.
/* * name: task-6.cu */ #include<stdio.h> __global__ void myHelloOnGPU(int *array){ // Position-1 int index_x = blockIdx.x * blockDim.x + threadIdx.x; int index_y = blockIdx.y * blockDim.y + threadIdx.y; array[index_y * blockDim.x * blockDim.y + index_x] = 11 * (( blockDim.x * gridDim.x )-(( blockIdx.x * gridDim.x - b...
code for sm_80 Function : _Z12myHelloOnGPUPi .headerflags @"EF_CUDA_TEXMODE_UNIFIED EF_CUDA_64BIT_ADDRESS EF_CUDA_SM80 EF_CUDA_VIRTUAL_SM(EF_CUDA_SM80)" /*0000*/ MOV R1, c[0x0][0x28] ; /* 0x00000a0000017a02 */ /* 0x000fe40000000f00 */ /*0010*/ S2R R2, SR_CTAID.Y ; /* 0x0000000000027919 */ /* 0x000e220000002600 */ /*002...
You are a helpful coding assistant specialized in converting CUDA source code to CUDA host assembly.
/* * name: task-6.cu */ #include<stdio.h> __global__ void myHelloOnGPU(int *array){ // Position-1 int index_x = blockIdx.x * blockDim.x + threadIdx.x; int index_y = blockIdx.y * blockDim.y + threadIdx.y; array[index_y * blockDim.x * blockDim.y + index_x] = 11 * (( blockDim.x * gridDim.x )-(( blockIdx.x * gridDim.x - b...
.file "tmpxft_00179088_00000000-6_task6.cudafe1.cpp" .text #APP #NO_APP .type _ZL26__cudaUnregisterBinaryUtilv, @function _ZL26__cudaUnregisterBinaryUtilv: .LFB2060: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 movq _ZL20__cudaFatCubinHandle(%rip), %rdi call __cudaUnregisterFatBinary@PLT addq $8, %rsp .c...
You are a helpful coding assistant specialized in converting CUDA source code to HIP/AMD source code.
/* * name: task-6.cu */ #include<stdio.h> __global__ void myHelloOnGPU(int *array){ // Position-1 int index_x = blockIdx.x * blockDim.x + threadIdx.x; int index_y = blockIdx.y * blockDim.y + threadIdx.y; array[index_y * blockDim.x * blockDim.y + index_x] = 11 * (( blockDim.x * gridDim.x )-(( blockIdx.x * gridDim.x - b...
/* * name: task-6.cu */ #include <hip/hip_runtime.h> #include<stdio.h> __global__ void myHelloOnGPU(int *array){ // Position-1 int index_x = blockIdx.x * blockDim.x + threadIdx.x; int index_y = blockIdx.y * blockDim.y + threadIdx.y; array[index_y * blockDim.x * blockDim.y + index_x] = 11 * (( blockDim.x * gridDim.x )-...
You are a helpful coding assistant specialized in converting HIP source code to AMD device assembly.
/* * name: task-6.cu */ #include <hip/hip_runtime.h> #include<stdio.h> __global__ void myHelloOnGPU(int *array){ // Position-1 int index_x = blockIdx.x * blockDim.x + threadIdx.x; int index_y = blockIdx.y * blockDim.y + threadIdx.y; array[index_y * blockDim.x * blockDim.y + index_x] = 11 * (( blockDim.x * gridDim.x )-...
.text .amdgcn_target "amdgcn-amd-amdhsa--gfx1100" .protected _Z12myHelloOnGPUPi .globl _Z12myHelloOnGPUPi .p2align 8 .type _Z12myHelloOnGPUPi,@function _Z12myHelloOnGPUPi: s_clause 0x1 s_load_b32 s2, s[0:1], 0x14 s_load_b32 s3, s[0:1], 0x8 v_bfe_u32 v1, v0, 10, 10 s_load_b64 s[0:1], s[0:1], 0...
You are a helpful coding assistant specialized in converting HIP source code to AMD host assembly.
/* * name: task-6.cu */ #include <hip/hip_runtime.h> #include<stdio.h> __global__ void myHelloOnGPU(int *array){ // Position-1 int index_x = blockIdx.x * blockDim.x + threadIdx.x; int index_y = blockIdx.y * blockDim.y + threadIdx.y; array[index_y * blockDim.x * blockDim.y + index_x] = 11 * (( blockDim.x * gridDim.x )-...
.text .file "task6.hip" .globl _Z27__device_stub__myHelloOnGPUPi # -- Begin function _Z27__device_stub__myHelloOnGPUPi .p2align 4, 0x90 .type _Z27__device_stub__myHelloOnGPUPi,@function _Z27__device_stub__myHelloOnGPUPi: # @_Z27__device_stub__myHelloOnGPUPi .cfi_startproc # %bb.0: subq $72, %rsp .cfi_def_cfa_offse...
You are a helpful coding assistant specialized in converting from CUDA device assembly to AMD device assembly.
code for sm_80 Function : _Z12myHelloOnGPUPi .headerflags @"EF_CUDA_TEXMODE_UNIFIED EF_CUDA_64BIT_ADDRESS EF_CUDA_SM80 EF_CUDA_VIRTUAL_SM(EF_CUDA_SM80)" /*0000*/ MOV R1, c[0x0][0x28] ; /* 0x00000a0000017a02 */ /* 0x000fe40000000f00 */ /*0010*/ S2R R2, SR_CTAID.Y ; /* 0x0000000000027919 */ /* 0x000e220000002600 */ /*002...
.text .amdgcn_target "amdgcn-amd-amdhsa--gfx1100" .protected _Z12myHelloOnGPUPi .globl _Z12myHelloOnGPUPi .p2align 8 .type _Z12myHelloOnGPUPi,@function _Z12myHelloOnGPUPi: s_clause 0x1 s_load_b32 s2, s[0:1], 0x14 s_load_b32 s3, s[0:1], 0x8 v_bfe_u32 v1, v0, 10, 10 s_load_b64 s[0:1], s[0:1], 0...
You are a helpful coding assistant specialized in converting from CUDA host assembly to AMD host assembly.
.file "tmpxft_00179088_00000000-6_task6.cudafe1.cpp" .text #APP #NO_APP .type _ZL26__cudaUnregisterBinaryUtilv, @function _ZL26__cudaUnregisterBinaryUtilv: .LFB2060: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 movq _ZL20__cudaFatCubinHandle(%rip), %rdi call __cudaUnregisterFatBinary@PLT addq $8, %rsp .c...
.text .file "task6.hip" .globl _Z27__device_stub__myHelloOnGPUPi # -- Begin function _Z27__device_stub__myHelloOnGPUPi .p2align 4, 0x90 .type _Z27__device_stub__myHelloOnGPUPi,@function _Z27__device_stub__myHelloOnGPUPi: # @_Z27__device_stub__myHelloOnGPUPi .cfi_startproc # %bb.0: subq $72, %rsp .cfi_def_cfa_offse...
You are a helpful coding assistant specialized in converting CUDA source code to CUDA device assembly.
#include <stdio.h> #include <cuda.h> __global__ void my_kernel(long long *clocks) { // 開始時間を記録 long long start = clock64(); printf("Start Clock : %ld\n", start); // 終了時間を記録 clocks[0] = clock64() - start; } int main() { int clock_rate = 0; int device = 0; long long *clock_data; long long *host_data; long long size; int ...
code for sm_80 Function : _Z9my_kernelPx .headerflags @"EF_CUDA_TEXMODE_UNIFIED EF_CUDA_64BIT_ADDRESS EF_CUDA_SM80 EF_CUDA_VIRTUAL_SM(EF_CUDA_SM80)" /*0000*/ IMAD.MOV.U32 R1, RZ, RZ, c[0x0][0x28] ; /* 0x00000a00ff017624 */ /* 0x000fca00078e00ff */ /*0010*/ IADD3 R1, R1, -0x8, RZ ; /* 0xfffffff801017810 */ /* 0x000fe200...
You are a helpful coding assistant specialized in converting CUDA source code to CUDA host assembly.
#include <stdio.h> #include <cuda.h> __global__ void my_kernel(long long *clocks) { // 開始時間を記録 long long start = clock64(); printf("Start Clock : %ld\n", start); // 終了時間を記録 clocks[0] = clock64() - start; } int main() { int clock_rate = 0; int device = 0; long long *clock_data; long long *host_data; long long size; int ...
.file "tmpxft_00172a98_00000000-6_clock.cudafe1.cpp" .text #APP #NO_APP .type _ZL26__cudaUnregisterBinaryUtilv, @function _ZL26__cudaUnregisterBinaryUtilv: .LFB2060: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 movq _ZL20__cudaFatCubinHandle(%rip), %rdi call __cudaUnregisterFatBinary@PLT addq $8, %rsp .c...
You are a helpful coding assistant specialized in converting CUDA source code to HIP/AMD source code.
#include <stdio.h> #include <cuda.h> __global__ void my_kernel(long long *clocks) { // 開始時間を記録 long long start = clock64(); printf("Start Clock : %ld\n", start); // 終了時間を記録 clocks[0] = clock64() - start; } int main() { int clock_rate = 0; int device = 0; long long *clock_data; long long *host_data; long long size; int ...
#include <stdio.h> #include <hip/hip_runtime.h> __global__ void my_kernel(long long *clocks) { // 開始時間を記録 long long start = clock64(); printf("Start Clock : %ld\n", start); // 終了時間を記録 clocks[0] = clock64() - start; } int main() { int clock_rate = 0; int device = 0; long long *clock_data; long long *host_data; long long...
You are a helpful coding assistant specialized in converting HIP source code to AMD host assembly.
#include <stdio.h> #include <hip/hip_runtime.h> __global__ void my_kernel(long long *clocks) { // 開始時間を記録 long long start = clock64(); printf("Start Clock : %ld\n", start); // 終了時間を記録 clocks[0] = clock64() - start; } int main() { int clock_rate = 0; int device = 0; long long *clock_data; long long *host_data; long long...
.text .file "clock.hip" .globl _Z24__device_stub__my_kernelPx # -- Begin function _Z24__device_stub__my_kernelPx .p2align 4, 0x90 .type _Z24__device_stub__my_kernelPx,@function _Z24__device_stub__my_kernelPx: # @_Z24__device_stub__my_kernelPx .cfi_startproc # %bb.0: subq $72, %rsp .cfi_def_cfa_offset 80 movq %...
You are a helpful coding assistant specialized in converting from CUDA host assembly to AMD host assembly.
.file "tmpxft_00172a98_00000000-6_clock.cudafe1.cpp" .text #APP #NO_APP .type _ZL26__cudaUnregisterBinaryUtilv, @function _ZL26__cudaUnregisterBinaryUtilv: .LFB2060: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 movq _ZL20__cudaFatCubinHandle(%rip), %rdi call __cudaUnregisterFatBinary@PLT addq $8, %rsp .c...
.text .file "clock.hip" .globl _Z24__device_stub__my_kernelPx # -- Begin function _Z24__device_stub__my_kernelPx .p2align 4, 0x90 .type _Z24__device_stub__my_kernelPx,@function _Z24__device_stub__my_kernelPx: # @_Z24__device_stub__my_kernelPx .cfi_startproc # %bb.0: subq $72, %rsp .cfi_def_cfa_offset 80 movq %...
You are a helpful coding assistant specialized in converting CUDA source code to CUDA device assembly.
#include "includes.h" __global__ void value_add_matrix(float* mat1, float* mat2, int row, int col, float v){ int id = blockIdx.x * blockDim.x + threadIdx.x; int size = row*col; if(id<size){ mat2[id] = mat1[id] + v; } }
code for sm_80 Function : _Z16value_add_matrixPfS_iif .headerflags @"EF_CUDA_TEXMODE_UNIFIED EF_CUDA_64BIT_ADDRESS EF_CUDA_SM80 EF_CUDA_VIRTUAL_SM(EF_CUDA_SM80)" /*0000*/ MOV R1, c[0x0][0x28] ; /* 0x00000a0000017a02 */ /* 0x000fe40000000f00 */ /*0010*/ S2R R4, SR_CTAID.X ; /* 0x0000000000047919 */ /* 0x000e220000002500...
You are a helpful coding assistant specialized in converting CUDA source code to CUDA host assembly.
#include "includes.h" __global__ void value_add_matrix(float* mat1, float* mat2, int row, int col, float v){ int id = blockIdx.x * blockDim.x + threadIdx.x; int size = row*col; if(id<size){ mat2[id] = mat1[id] + v; } }
.file "tmpxft_00185a89_00000000-6_value_add_matrix.cudafe1.cpp" .text #APP #NO_APP .type _ZL26__cudaUnregisterBinaryUtilv, @function _ZL26__cudaUnregisterBinaryUtilv: .LFB2029: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 movq _ZL20__cudaFatCubinHandle(%rip), %rdi call __cudaUnregisterFatBinary@PLT addq ...
You are a helpful coding assistant specialized in converting CUDA source code to HIP/AMD source code.
#include "includes.h" __global__ void value_add_matrix(float* mat1, float* mat2, int row, int col, float v){ int id = blockIdx.x * blockDim.x + threadIdx.x; int size = row*col; if(id<size){ mat2[id] = mat1[id] + v; } }
#include <hip/hip_runtime.h> #include "includes.h" __global__ void value_add_matrix(float* mat1, float* mat2, int row, int col, float v){ int id = blockIdx.x * blockDim.x + threadIdx.x; int size = row*col; if(id<size){ mat2[id] = mat1[id] + v; } }
You are a helpful coding assistant specialized in converting HIP source code to AMD device assembly.
#include <hip/hip_runtime.h> #include "includes.h" __global__ void value_add_matrix(float* mat1, float* mat2, int row, int col, float v){ int id = blockIdx.x * blockDim.x + threadIdx.x; int size = row*col; if(id<size){ mat2[id] = mat1[id] + v; } }
.text .amdgcn_target "amdgcn-amd-amdhsa--gfx1100" .protected _Z16value_add_matrixPfS_iif .globl _Z16value_add_matrixPfS_iif .p2align 8 .type _Z16value_add_matrixPfS_iif,@function _Z16value_add_matrixPfS_iif: s_clause 0x1 s_load_b32 s4, s[0:1], 0x2c s_load_b64 s[2:3], s[0:1], 0x10 s_waitcnt lgkmcnt(0) s_and...
You are a helpful coding assistant specialized in converting HIP source code to AMD host assembly.
#include <hip/hip_runtime.h> #include "includes.h" __global__ void value_add_matrix(float* mat1, float* mat2, int row, int col, float v){ int id = blockIdx.x * blockDim.x + threadIdx.x; int size = row*col; if(id<size){ mat2[id] = mat1[id] + v; } }
.text .file "value_add_matrix.hip" .globl _Z31__device_stub__value_add_matrixPfS_iif # -- Begin function _Z31__device_stub__value_add_matrixPfS_iif .p2align 4, 0x90 .type _Z31__device_stub__value_add_matrixPfS_iif,@function _Z31__device_stub__value_add_matrixPfS_iif: # @_Z31__device_stub__value_add_matrixPfS_iif .cfi_s...
You are a helpful coding assistant specialized in converting from CUDA device assembly to AMD device assembly.
code for sm_80 Function : _Z16value_add_matrixPfS_iif .headerflags @"EF_CUDA_TEXMODE_UNIFIED EF_CUDA_64BIT_ADDRESS EF_CUDA_SM80 EF_CUDA_VIRTUAL_SM(EF_CUDA_SM80)" /*0000*/ MOV R1, c[0x0][0x28] ; /* 0x00000a0000017a02 */ /* 0x000fe40000000f00 */ /*0010*/ S2R R4, SR_CTAID.X ; /* 0x0000000000047919 */ /* 0x000e220000002500...
.text .amdgcn_target "amdgcn-amd-amdhsa--gfx1100" .protected _Z16value_add_matrixPfS_iif .globl _Z16value_add_matrixPfS_iif .p2align 8 .type _Z16value_add_matrixPfS_iif,@function _Z16value_add_matrixPfS_iif: s_clause 0x1 s_load_b32 s4, s[0:1], 0x2c s_load_b64 s[2:3], s[0:1], 0x10 s_waitcnt lgkmcnt(0) s_and...
You are a helpful coding assistant specialized in converting from CUDA host assembly to AMD host assembly.
.file "tmpxft_00185a89_00000000-6_value_add_matrix.cudafe1.cpp" .text #APP #NO_APP .type _ZL26__cudaUnregisterBinaryUtilv, @function _ZL26__cudaUnregisterBinaryUtilv: .LFB2029: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 movq _ZL20__cudaFatCubinHandle(%rip), %rdi call __cudaUnregisterFatBinary@PLT addq ...
.text .file "value_add_matrix.hip" .globl _Z31__device_stub__value_add_matrixPfS_iif # -- Begin function _Z31__device_stub__value_add_matrixPfS_iif .p2align 4, 0x90 .type _Z31__device_stub__value_add_matrixPfS_iif,@function _Z31__device_stub__value_add_matrixPfS_iif: # @_Z31__device_stub__value_add_matrixPfS_iif .cfi_s...
You are a helpful coding assistant specialized in converting CUDA source code to CUDA device assembly.
#include "includes.h" // create an image buffer. return host ptr, pass out device pointer through pointer to pointer __global__ void sobelfilter_kernel(int iw, int ih, unsigned char *source, unsigned char *dest) { // Calculate our pixel's location int x = (blockIdx.x * blockDim.x) + threadIdx.x; int y = (blockIdx.y * b...
code for sm_80 Function : _Z18sobelfilter_kerneliiPhS_ .headerflags @"EF_CUDA_TEXMODE_UNIFIED EF_CUDA_64BIT_ADDRESS EF_CUDA_SM80 EF_CUDA_VIRTUAL_SM(EF_CUDA_SM80)" /*0000*/ IMAD.MOV.U32 R1, RZ, RZ, c[0x0][0x28] ; /* 0x00000a00ff017624 */ /* 0x000fe400078e00ff */ /*0010*/ S2R R3, SR_CTAID.X ; /* 0x0000000000037919 */ /* ...
You are a helpful coding assistant specialized in converting CUDA source code to CUDA host assembly.
#include "includes.h" // create an image buffer. return host ptr, pass out device pointer through pointer to pointer __global__ void sobelfilter_kernel(int iw, int ih, unsigned char *source, unsigned char *dest) { // Calculate our pixel's location int x = (blockIdx.x * blockDim.x) + threadIdx.x; int y = (blockIdx.y * b...
.file "tmpxft_001765d9_00000000-6_sobelfilter_kernel.cudafe1.cpp" .text #APP #NO_APP .type _ZL26__cudaUnregisterBinaryUtilv, @function _ZL26__cudaUnregisterBinaryUtilv: .LFB2029: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 movq _ZL20__cudaFatCubinHandle(%rip), %rdi call __cudaUnregisterFatBinary@PLT add...
You are a helpful coding assistant specialized in converting CUDA source code to HIP/AMD source code.
#include "includes.h" // create an image buffer. return host ptr, pass out device pointer through pointer to pointer __global__ void sobelfilter_kernel(int iw, int ih, unsigned char *source, unsigned char *dest) { // Calculate our pixel's location int x = (blockIdx.x * blockDim.x) + threadIdx.x; int y = (blockIdx.y * b...
#include <hip/hip_runtime.h> #include "includes.h" // create an image buffer. return host ptr, pass out device pointer through pointer to pointer __global__ void sobelfilter_kernel(int iw, int ih, unsigned char *source, unsigned char *dest) { // Calculate our pixel's location int x = (blockIdx.x * blockDim.x) + threadI...
You are a helpful coding assistant specialized in converting HIP source code to AMD device assembly.
#include <hip/hip_runtime.h> #include "includes.h" // create an image buffer. return host ptr, pass out device pointer through pointer to pointer __global__ void sobelfilter_kernel(int iw, int ih, unsigned char *source, unsigned char *dest) { // Calculate our pixel's location int x = (blockIdx.x * blockDim.x) + threadI...
.text .amdgcn_target "amdgcn-amd-amdhsa--gfx1100" .protected _Z18sobelfilter_kerneliiPhS_ .globl _Z18sobelfilter_kerneliiPhS_ .p2align 8 .type _Z18sobelfilter_kerneliiPhS_,@function _Z18sobelfilter_kerneliiPhS_: s_clause 0x1 s_load_b32 s2, s[0:1], 0x24 s_load_b64 s[6:7], s[0:1], 0x0 v_and_b32_e32 v2, 0x3ff,...
You are a helpful coding assistant specialized in converting HIP source code to AMD host assembly.
#include <hip/hip_runtime.h> #include "includes.h" // create an image buffer. return host ptr, pass out device pointer through pointer to pointer __global__ void sobelfilter_kernel(int iw, int ih, unsigned char *source, unsigned char *dest) { // Calculate our pixel's location int x = (blockIdx.x * blockDim.x) + threadI...
.text .file "sobelfilter_kernel.hip" .globl _Z33__device_stub__sobelfilter_kerneliiPhS_ # -- Begin function _Z33__device_stub__sobelfilter_kerneliiPhS_ .p2align 4, 0x90 .type _Z33__device_stub__sobelfilter_kerneliiPhS_,@function _Z33__device_stub__sobelfilter_kerneliiPhS_: # @_Z33__device_stub__sobelfilter_kerneliiPhS_...
You are a helpful coding assistant specialized in converting from CUDA device assembly to AMD device assembly.
code for sm_80 Function : _Z18sobelfilter_kerneliiPhS_ .headerflags @"EF_CUDA_TEXMODE_UNIFIED EF_CUDA_64BIT_ADDRESS EF_CUDA_SM80 EF_CUDA_VIRTUAL_SM(EF_CUDA_SM80)" /*0000*/ IMAD.MOV.U32 R1, RZ, RZ, c[0x0][0x28] ; /* 0x00000a00ff017624 */ /* 0x000fe400078e00ff */ /*0010*/ S2R R3, SR_CTAID.X ; /* 0x0000000000037919 */ /* ...
.text .amdgcn_target "amdgcn-amd-amdhsa--gfx1100" .protected _Z18sobelfilter_kerneliiPhS_ .globl _Z18sobelfilter_kerneliiPhS_ .p2align 8 .type _Z18sobelfilter_kerneliiPhS_,@function _Z18sobelfilter_kerneliiPhS_: s_clause 0x1 s_load_b32 s2, s[0:1], 0x24 s_load_b64 s[6:7], s[0:1], 0x0 v_and_b32_e32 v2, 0x3ff,...
You are a helpful coding assistant specialized in converting from CUDA host assembly to AMD host assembly.
.file "tmpxft_001765d9_00000000-6_sobelfilter_kernel.cudafe1.cpp" .text #APP #NO_APP .type _ZL26__cudaUnregisterBinaryUtilv, @function _ZL26__cudaUnregisterBinaryUtilv: .LFB2029: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 movq _ZL20__cudaFatCubinHandle(%rip), %rdi call __cudaUnregisterFatBinary@PLT add...
.text .file "sobelfilter_kernel.hip" .globl _Z33__device_stub__sobelfilter_kerneliiPhS_ # -- Begin function _Z33__device_stub__sobelfilter_kerneliiPhS_ .p2align 4, 0x90 .type _Z33__device_stub__sobelfilter_kerneliiPhS_,@function _Z33__device_stub__sobelfilter_kerneliiPhS_: # @_Z33__device_stub__sobelfilter_kerneliiPhS_...
You are a helpful coding assistant specialized in converting CUDA source code to CUDA device assembly.
// // include files // #include <stdlib.h> #include <stdio.h> #include <string.h> #include <math.h> #include <cuda_runtime.h> #include <device_launch_parameters.h> // // template kernel routine // template <typename T> __global__ void my_first_kernel(T *x) { int tid = threadIdx.x + blockDim.x*blockIdx.x; x[tid] = threa...
code for sm_80 Function : _Z15my_first_kernelIiEvPT_ .headerflags @"EF_CUDA_TEXMODE_UNIFIED EF_CUDA_64BIT_ADDRESS EF_CUDA_SM80 EF_CUDA_VIRTUAL_SM(EF_CUDA_SM80)" /*0000*/ MOV R1, c[0x0][0x28] ; /* 0x00000a0000017a02 */ /* 0x000fe40000000f00 */ /*0010*/ S2R R5, SR_TID.X ; /* 0x0000000000057919 */ /* 0x000e220000002100 */...
You are a helpful coding assistant specialized in converting CUDA source code to CUDA host assembly.
// // include files // #include <stdlib.h> #include <stdio.h> #include <string.h> #include <math.h> #include <cuda_runtime.h> #include <device_launch_parameters.h> // // template kernel routine // template <typename T> __global__ void my_first_kernel(T *x) { int tid = threadIdx.x + blockDim.x*blockIdx.x; x[tid] = threa...
.file "tmpxft_001175a9_00000000-6_prac6b.cudafe1.cpp" .text #APP #NO_APP .type _ZL40__device_stub__Z15my_first_kernelIdEvPT_Pd, @function _ZL40__device_stub__Z15my_first_kernelIdEvPT_Pd: .LFB2084: .cfi_startproc subq $104, %rsp .cfi_def_cfa_offset 112 movq %rdi, 8(%rsp) movq %fs:40, %rax movq %rax, 88(%rsp) xorl %eax, ...
You are a helpful coding assistant specialized in converting CUDA source code to HIP/AMD source code.
// // include files // #include <stdlib.h> #include <stdio.h> #include <string.h> #include <math.h> #include <cuda_runtime.h> #include <device_launch_parameters.h> // // template kernel routine // template <typename T> __global__ void my_first_kernel(T *x) { int tid = threadIdx.x + blockDim.x*blockIdx.x; x[tid] = threa...
// // include files // #include <stdlib.h> #include <stdio.h> #include <string.h> #include <math.h> #include <hip/hip_runtime.h> // // template kernel routine // template <typename T> __global__ void my_first_kernel(T *x) { int tid = threadIdx.x + blockDim.x*blockIdx.x; x[tid] = threadIdx.x; } // // CUDA routine to be ...
You are a helpful coding assistant specialized in converting HIP source code to AMD device assembly.
// // include files // #include <stdlib.h> #include <stdio.h> #include <string.h> #include <math.h> #include <hip/hip_runtime.h> // // template kernel routine // template <typename T> __global__ void my_first_kernel(T *x) { int tid = threadIdx.x + blockDim.x*blockIdx.x; x[tid] = threadIdx.x; } // // CUDA routine to be ...
.text .amdgcn_target "amdgcn-amd-amdhsa--gfx1100" .section .text._Z15my_first_kernelIdEvPT_,"axG",@progbits,_Z15my_first_kernelIdEvPT_,comdat .protected _Z15my_first_kernelIdEvPT_ .globl _Z15my_first_kernelIdEvPT_ .p2align 8 .type _Z15my_first_kernelIdEvPT_,@function _Z15my_first_kernelIdEvPT_: v_cvt_f64_...
You are a helpful coding assistant specialized in converting HIP source code to AMD host assembly.
// // include files // #include <stdlib.h> #include <stdio.h> #include <string.h> #include <math.h> #include <hip/hip_runtime.h> // // template kernel routine // template <typename T> __global__ void my_first_kernel(T *x) { int tid = threadIdx.x + blockDim.x*blockIdx.x; x[tid] = threadIdx.x; } // // CUDA routine to be ...
.text .file "prac6b.hip" .globl _Z5prac6ii # -- Begin function _Z5prac6ii .p2align 4, 0x90 .type _Z5prac6ii,@function _Z5prac6ii: # @_Z5prac6ii .cfi_startproc # %bb.0: pushq %rbp .cfi_def_cfa_offset 16 pushq %r15 .cfi_def_cfa_offset 24 pushq %r14 .cfi_def_cfa_offset 32 p...
You are a helpful coding assistant specialized in converting from CUDA device assembly to AMD device assembly.
code for sm_80 Function : _Z15my_first_kernelIiEvPT_ .headerflags @"EF_CUDA_TEXMODE_UNIFIED EF_CUDA_64BIT_ADDRESS EF_CUDA_SM80 EF_CUDA_VIRTUAL_SM(EF_CUDA_SM80)" /*0000*/ MOV R1, c[0x0][0x28] ; /* 0x00000a0000017a02 */ /* 0x000fe40000000f00 */ /*0010*/ S2R R5, SR_TID.X ; /* 0x0000000000057919 */ /* 0x000e220000002100 */...
.text .amdgcn_target "amdgcn-amd-amdhsa--gfx1100" .section .text._Z15my_first_kernelIdEvPT_,"axG",@progbits,_Z15my_first_kernelIdEvPT_,comdat .protected _Z15my_first_kernelIdEvPT_ .globl _Z15my_first_kernelIdEvPT_ .p2align 8 .type _Z15my_first_kernelIdEvPT_,@function _Z15my_first_kernelIdEvPT_: v_cvt_f64_...
You are a helpful coding assistant specialized in converting from CUDA host assembly to AMD host assembly.
.file "tmpxft_001175a9_00000000-6_prac6b.cudafe1.cpp" .text #APP #NO_APP .type _ZL40__device_stub__Z15my_first_kernelIdEvPT_Pd, @function _ZL40__device_stub__Z15my_first_kernelIdEvPT_Pd: .LFB2084: .cfi_startproc subq $104, %rsp .cfi_def_cfa_offset 112 movq %rdi, 8(%rsp) movq %fs:40, %rax movq %rax, 88(%rsp) xorl %eax, ...
.text .file "prac6b.hip" .globl _Z5prac6ii # -- Begin function _Z5prac6ii .p2align 4, 0x90 .type _Z5prac6ii,@function _Z5prac6ii: # @_Z5prac6ii .cfi_startproc # %bb.0: pushq %rbp .cfi_def_cfa_offset 16 pushq %r15 .cfi_def_cfa_offset 24 pushq %r14 .cfi_def_cfa_offset 32 p...
You are a helpful coding assistant specialized in converting CUDA source code to CUDA device assembly.
//#include<stdio.h> #include <iostream> #include <vector> __global__ void gaxpy(double *y, double *a, double *x, int m, int n){ int bid = blockIdx.x; int tid = threadIdx.x; extern __shared__ double dots_s[]; if(bid<m) if(tid<n){ dots_s[bid*n+tid] = a[bid*n+tid] * *(x+tid); __syncthreads(); if(tid == 0){ for(int i=1;i<n...
code for sm_80 Function : _Z5gaxpyPdS_S_ii .headerflags @"EF_CUDA_TEXMODE_UNIFIED EF_CUDA_64BIT_ADDRESS EF_CUDA_SM80 EF_CUDA_VIRTUAL_SM(EF_CUDA_SM80)" /*0000*/ IMAD.MOV.U32 R1, RZ, RZ, c[0x0][0x28] ; /* 0x00000a00ff017624 */ /* 0x000fe400078e00ff */ /*0010*/ S2R R8, SR_TID.X ; /* 0x0000000000087919 */ /* 0x000e28000000...
You are a helpful coding assistant specialized in converting CUDA source code to CUDA host assembly.
//#include<stdio.h> #include <iostream> #include <vector> __global__ void gaxpy(double *y, double *a, double *x, int m, int n){ int bid = blockIdx.x; int tid = threadIdx.x; extern __shared__ double dots_s[]; if(bid<m) if(tid<n){ dots_s[bid*n+tid] = a[bid*n+tid] * *(x+tid); __syncthreads(); if(tid == 0){ for(int i=1;i<n...
.file "tmpxft_00130017_00000000-6_matrixVectorMult.cudafe1.cpp" .text #APP .globl _ZSt21ios_base_library_initv #NO_APP .type _ZL26__cudaUnregisterBinaryUtilv, @function _ZL26__cudaUnregisterBinaryUtilv: .LFB4044: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 movq _ZL20__cudaFatCubinHandle(%rip), %rdi call...
You are a helpful coding assistant specialized in converting CUDA source code to HIP/AMD source code.
//#include<stdio.h> #include <iostream> #include <vector> __global__ void gaxpy(double *y, double *a, double *x, int m, int n){ int bid = blockIdx.x; int tid = threadIdx.x; extern __shared__ double dots_s[]; if(bid<m) if(tid<n){ dots_s[bid*n+tid] = a[bid*n+tid] * *(x+tid); __syncthreads(); if(tid == 0){ for(int i=1;i<n...
//#include<stdio.h> #include <hip/hip_runtime.h> #include <iostream> #include <vector> __global__ void gaxpy(double *y, double *a, double *x, int m, int n){ int bid = blockIdx.x; int tid = threadIdx.x; extern __shared__ double dots_s[]; if(bid<m) if(tid<n){ dots_s[bid*n+tid] = a[bid*n+tid] * *(x+tid); __syncthreads(); ...
You are a helpful coding assistant specialized in converting HIP source code to AMD device assembly.
//#include<stdio.h> #include <hip/hip_runtime.h> #include <iostream> #include <vector> __global__ void gaxpy(double *y, double *a, double *x, int m, int n){ int bid = blockIdx.x; int tid = threadIdx.x; extern __shared__ double dots_s[]; if(bid<m) if(tid<n){ dots_s[bid*n+tid] = a[bid*n+tid] * *(x+tid); __syncthreads(); ...
.text .amdgcn_target "amdgcn-amd-amdhsa--gfx1100" .protected _Z5gaxpyPdS_S_ii .globl _Z5gaxpyPdS_S_ii .p2align 8 .type _Z5gaxpyPdS_S_ii,@function _Z5gaxpyPdS_S_ii: s_load_b64 s[4:5], s[0:1], 0x18 s_waitcnt lgkmcnt(0) v_cmp_gt_i32_e32 vcc_lo, s5, v0 s_cmp_lt_i32 s15, s4 s_cselect_b32 s3, -...
You are a helpful coding assistant specialized in converting HIP source code to AMD host assembly.
//#include<stdio.h> #include <hip/hip_runtime.h> #include <iostream> #include <vector> __global__ void gaxpy(double *y, double *a, double *x, int m, int n){ int bid = blockIdx.x; int tid = threadIdx.x; extern __shared__ double dots_s[]; if(bid<m) if(tid<n){ dots_s[bid*n+tid] = a[bid*n+tid] * *(x+tid); __syncthreads(); ...
.text .file "matrixVectorMult.hip" # Start of file scope inline assembly .globl _ZSt21ios_base_library_initv # End of file scope inline assembly .globl _Z20__device_stub__gaxpyPdS_S_ii # -- Begin function _Z20__device_stub__gaxpyPdS_S_ii .p2a...
You are a helpful coding assistant specialized in converting from CUDA device assembly to AMD device assembly.
code for sm_80 Function : _Z5gaxpyPdS_S_ii .headerflags @"EF_CUDA_TEXMODE_UNIFIED EF_CUDA_64BIT_ADDRESS EF_CUDA_SM80 EF_CUDA_VIRTUAL_SM(EF_CUDA_SM80)" /*0000*/ IMAD.MOV.U32 R1, RZ, RZ, c[0x0][0x28] ; /* 0x00000a00ff017624 */ /* 0x000fe400078e00ff */ /*0010*/ S2R R8, SR_TID.X ; /* 0x0000000000087919 */ /* 0x000e28000000...
.text .amdgcn_target "amdgcn-amd-amdhsa--gfx1100" .protected _Z5gaxpyPdS_S_ii .globl _Z5gaxpyPdS_S_ii .p2align 8 .type _Z5gaxpyPdS_S_ii,@function _Z5gaxpyPdS_S_ii: s_load_b64 s[4:5], s[0:1], 0x18 s_waitcnt lgkmcnt(0) v_cmp_gt_i32_e32 vcc_lo, s5, v0 s_cmp_lt_i32 s15, s4 s_cselect_b32 s3, -...
You are a helpful coding assistant specialized in converting from CUDA host assembly to AMD host assembly.
.file "tmpxft_00130017_00000000-6_matrixVectorMult.cudafe1.cpp" .text #APP .globl _ZSt21ios_base_library_initv #NO_APP .type _ZL26__cudaUnregisterBinaryUtilv, @function _ZL26__cudaUnregisterBinaryUtilv: .LFB4044: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 movq _ZL20__cudaFatCubinHandle(%rip), %rdi call...
.text .file "matrixVectorMult.hip" # Start of file scope inline assembly .globl _ZSt21ios_base_library_initv # End of file scope inline assembly .globl _Z20__device_stub__gaxpyPdS_S_ii # -- Begin function _Z20__device_stub__gaxpyPdS_S_ii .p2a...
You are a helpful coding assistant specialized in converting CUDA source code to CUDA device assembly.
#include "includes.h" /* This file is copied from https://github.com/jzbonter/mc-cnn */ extern "C" { } #define TB 128 #define DISP_MAX 256 __global__ void remove_nonvisible(float *y, int size, int size3) { int id = blockIdx.x * blockDim.x + threadIdx.x; if (id < size) { int x = id % size3; if (y[id] >= x) { y[id] = 0; ...
code for sm_80 Function : _Z17remove_nonvisiblePfii .headerflags @"EF_CUDA_TEXMODE_UNIFIED EF_CUDA_64BIT_ADDRESS EF_CUDA_SM80 EF_CUDA_VIRTUAL_SM(EF_CUDA_SM80)" /*0000*/ IMAD.MOV.U32 R1, RZ, RZ, c[0x0][0x28] ; /* 0x00000a00ff017624 */ /* 0x000fe400078e00ff */ /*0010*/ S2R R0, SR_CTAID.X ; /* 0x0000000000007919 */ /* 0x0...
You are a helpful coding assistant specialized in converting CUDA source code to CUDA host assembly.
#include "includes.h" /* This file is copied from https://github.com/jzbonter/mc-cnn */ extern "C" { } #define TB 128 #define DISP_MAX 256 __global__ void remove_nonvisible(float *y, int size, int size3) { int id = blockIdx.x * blockDim.x + threadIdx.x; if (id < size) { int x = id % size3; if (y[id] >= x) { y[id] = 0; ...
.file "tmpxft_0010bc75_00000000-6_remove_nonvisible.cudafe1.cpp" .text #APP #NO_APP .type _ZL26__cudaUnregisterBinaryUtilv, @function _ZL26__cudaUnregisterBinaryUtilv: .LFB2029: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 movq _ZL20__cudaFatCubinHandle(%rip), %rdi call __cudaUnregisterFatBinary@PLT addq...
You are a helpful coding assistant specialized in converting CUDA source code to HIP/AMD source code.
#include "includes.h" /* This file is copied from https://github.com/jzbonter/mc-cnn */ extern "C" { } #define TB 128 #define DISP_MAX 256 __global__ void remove_nonvisible(float *y, int size, int size3) { int id = blockIdx.x * blockDim.x + threadIdx.x; if (id < size) { int x = id % size3; if (y[id] >= x) { y[id] = 0; ...
#include <hip/hip_runtime.h> #include "includes.h" /* This file is copied from https://github.com/jzbonter/mc-cnn */ extern "C" { } #define TB 128 #define DISP_MAX 256 __global__ void remove_nonvisible(float *y, int size, int size3) { int id = blockIdx.x * blockDim.x + threadIdx.x; if (id < size) { int x = id % size3; ...