On: Beating NumPy matrix multiplication in 150 lines o...

[SushiHippie]

Actually, leaving it on 16 threads performs a bit better than setting it to 32 threads.

16 threads: https://0x0.st/XaDB.png

32 threads: https://0x0.st/XaDM.png

But still not as fast as it ran on your 7700(X) and NumPy is 2-3x faster than matmul.c on my PC.

I also changed KC to some other values (500: https://0x0.st/XaD9.png, 2000: https://0x0.st/XaDp.png), but it didn't change much performance wise.

[salykova → SushiHippie]

as we discussed earlier, the code really needs Clang to attain high performance

[SushiHippie → salykova]

Agreed https://0x0.st/XakD.png ;)