Files
project_6/upstream_ref/sgemm_siboehm/src/kernels.cuh
dylan 284804ac53 data: cat 3 SGEMM repos — siboehm, wangzyon, edtallison (full clone, no --depth)
Sources:
  siboehm/SGEMM_CUDA        → upstream_ref/sgemm_siboehm/     (25 files)
  wangzyon/NVIDIA_SGEMM_PRACTICE → upstream_ref/nvidia_sgemm_practice/ (23 files, filled gaps)
  edtallison/sgemm-cuda      → upstream_ref/sgemm_edtallison/  (41 files)

All files cat'd one by one from git clone (no --depth).
These are the 3 public SGEMM repos that can compile on CUDA 10.2 + CoreX ivcore10.

Key files for BI-V100 porting:
  kernel 10 (warp tiling) — already proven on device with WARPSIZE=64
  kernel 11/12 (double buffering) — next optimization target
  sgemm.cu + runner.cu — complete build+benchmark harness
  CMakeLists.txt — build system reference
2026-08-15 06:58:07 +00:00

14 lines
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Plaintext

#pragma once
#include "kernels/10_kernel_warptiling.cuh"
#include "kernels/11_kernel_double_buffering.cuh"
#include "kernels/12_kernel_double_buffering.cuh"
#include "kernels/1_naive.cuh"
#include "kernels/2_kernel_global_mem_coalesce.cuh"
#include "kernels/3_kernel_shared_mem_blocking.cuh"
#include "kernels/4_kernel_1D_blocktiling.cuh"
#include "kernels/5_kernel_2D_blocktiling.cuh"
#include "kernels/6_kernel_vectorize.cuh"
#include "kernels/7_kernel_resolve_bank_conflicts.cuh"
#include "kernels/8_kernel_bank_extra_col.cuh"
#include "kernels/9_kernel_autotuned.cuh"