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

upstream_ref/nvidia_sgemm_practice/run.sh

@@ -0,0 +1,16 @@
+#!/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}