License: GNU General Public License v3.0
A GEMM tutorial.
去 src/cuda 文件夹下面，找到你想看性能的 gemm，记住那个名字，然后回到主项目文件夹下，首先mkdir build，然后输入 make benchmark_xxx。
如你想看 double_buffer_yhs_refine_gemm.cu 这个矩阵乘的性能，就输入：
make benchmark_double_buffer_yhs_refine
然后二进制会出现在 bin 文件夹下面。
知乎链接：这里
Seems like you wanna to do an implementation of int8 gemm to do NLP inference? I wonder why you choose to hands on wmma api to do int8 gemm instead of opensource library like cutlass or vendor library like cublas? I implemented some conflict-free int8 gemm kernels, maybe I can help you to implement it.
M，N不应该满足4对齐就可以吗 shared_mem_gemm.cu也不对
例如取M=16, N=16, K=8
感觉128x8中有效的部分只有16x8，应该不影响呀
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