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project_6_89d52222/upstream_ref/nvidia_sgemm_practice/run.sh

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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
#!/bin/bash
# 全部kernel运行
rm ./test/test_kernel*
echo -n "test_kernel:"
for((i=0;i<=7;i++))
do
echo -n "${i}..."
file_name="./test/test_kernel_${i}.txt"
./sgemm ${i} >> ${file_name}
done
# 单个kernel运行
# kernel_num=$1
# file_name="test_kernel_${kernel_num}.txt"
# ./sgemm ${kernel_num} | tee ./test/${file_name}
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