Logo
Explore Help
Register Sign In
dylanyunlong/project_6
1
0
Fork 0
You've already forked project_6
Code Issues Pull Requests Actions Projects Releases Wiki Activity
Files
main
project_6/upstream_ref/nvidia_sgemm_practice/run.sh

16 lines
335 B
Bash
Raw Permalink Normal View History

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}
Reference in New Issue Copy Permalink
Powered by Gitea Version: 1.24.3 Page: 102ms Template: 1ms
English
Bahasa Indonesia Deutsch English Español Français Gaeilge Italiano Latviešu Magyar nyelv Nederlands Polski Português de Portugal Português do Brasil Suomi Svenska Türkçe Čeština Ελληνικά Български Русский Українська فارسی മലയാളം 日本語 简体中文 繁體中文(台灣) 繁體中文(香港) 한국어
Licenses API