salykova

4 ms·

1.
Matrix Core Programming on AMD CDNA4 Architecture(rocm.blogs.amd.com)
3 points by salykova 10mo ago|0 comments
2.
Matrix Core Programming on AMD GPUs(rocm.blogs.amd.com)
2 points by salykova 10mo ago|0 comments
3.
Matrix Core Programming on AMD CDNA Architecture(rocm.blogs.amd.com)
61 points by salykova 10mo ago|22 comments
4.
Matrix Core Programming on AMD GPUs(rocm.blogs.amd.com)
1 points by salykova 10mo ago|0 comments
5.
Matrix Core Programming on AMD CDNA3 and CDNA4 Architecture(rocm.blogs.amd.com)
1 points by salykova 10mo ago|0 comments
6.
Matrix Core Programming on AMD CDNA3 and CDNA4 Architecture(rocm.blogs.amd.com)
2 points by salykova 11mo ago|0 comments
7.
by salykova 2y ago
excalidraw <3
8.
by salykova 2y ago
as we discussed earlier, the code really needs Clang to attain high performance
9.
by salykova 2y ago
"off-topic" channel
10.
by salykova 2y ago
We were actively chatting with Justine yesterday, seems like the implementation is at least 2x faster than tinyBLAS on her workstation. The whole discussion is in Mozilla AI discord: https://discord.com/invite/NSnjHmT5x
11.
by salykova 2y ago
Hi! I'm the author of the article. It's my really first time optimizing C code and using intrinsics, so I'm definitely not an expert in this area, but Im willing to learn more! Many thanks for your feedback; I truly appreciat
12.
Beating NumPy's matrix multiplication in 150 lines of C code(salykova.github.io)
5 points by salykova 2y ago|0 comments
13.
Beating NumPy's matrix multiplication in 150 lines of C code(salykova.github.io)
2 points by salykova 2y ago|0 comments