solutions/simd-loop/reference/loop_130/reference_loop_130.json

{
  "name": "reference_loop_130",
  "definition": "loop_130",
  "dataset": "simd-loop",
  "author": "reference",
  "spec": {
    "language": "cpp",
    "target_hardware": [
      "aarch64"
    ],
    "entry_point": "kernel.cpp::inner_loop_130",
    "dependencies": [],
    "isa_features": [],
    "compile_flags": [
      "-O2",
      "-std=c++14",
      "-fno-vectorize",
      "-fno-slp-vectorize"
    ],
    "link_flags": []
  },
  "sources": [
    {
      "path": "loop_130.h",
      "content": "// Auto-generated by scripts/gen_simd_loop_harness.py \u2014 do not hand-edit.\n#pragma once\n#include <stdint.h>\n\nstruct loop_130_data {\n    uint64_t m;\n    uint64_t n;\n    uint64_t k;\n    float *a;\n    float *b;\n    float *c;\n};\n\n#ifdef __cplusplus\nextern \"C\" {\n#endif\nint armbench_entry_loop_130(void *a, void *b, int64_t m, int64_t n, int64_t k, void *res_out);\n#ifdef __cplusplus\n}\n#endif\n"
    },
    {
      "path": "loop_130.cpp",
      "content": "// Auto-generated by scripts/gen_simd_loop_harness.py \u2014 do not hand-edit.\n#include \"loop_130.h\"\n#include <stdint.h>\n\nextern \"C\" void inner_loop_130(struct loop_130_data *data);\n\nextern \"C\" int armbench_entry_loop_130(void *a, void *b, int64_t m, int64_t n, int64_t k, void *res_out) {\n    struct loop_130_data _kd;\n    _kd.a = static_cast<float *>(a);\n    _kd.b = static_cast<float *>(b);\n    _kd.c = static_cast<float *>(res_out);\n    _kd.m = static_cast<uint64_t>(m);\n    _kd.n = static_cast<uint64_t>(n);\n    _kd.k = static_cast<uint64_t>(k);\n    inner_loop_130(&_kd);\n    return 0;\n}\n"
    },
    {
      "path": "kernel.cpp",
      "content": "#include \"loop_130.h\"\n#include <stdint.h>\n\nextern \"C\" void inner_loop_130(struct loop_130_data *data) {\n    uint64_t m = data->m;\n    uint64_t n = data->n;\n    uint64_t k = data->k;\n    float *a = data->a;\n    float *b = data->b;\n    float *c = data->c;\n    for (uint64_t y = 0; y < m; y++) {\n        for (uint64_t x = 0; x < n; x++) {\n            float d = 0;\n            for (uint64_t z = 0; z < k; z++) d += a[y * k + z] * b[z * n + x];\n            c[y * n + x] = d;\n        }\n    }\n}\n"
    }
  ],
  "description": "Scalar reference (auto-vectorization disabled) for loop_130. Baseline for speedup measurement."
}