| import sys | |
| import toolutils | |
| outputitem = None | |
| inputindex = -1 | |
| inputitem = None | |
| outputindex = -1 | |
| num_args = 1 | |
| h_extra_args = '' |
This is a short post that explains how to write a high-performance matrix multiplication program on modern processors. In this tutorial I will use a single core of the Skylake-client CPU with AVX2, but the principles in this post also apply to other processors with different instruction sets (such as AVX512).
Matrix multiplication is a mathematical operation that defines the product of
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| #pragma hint diff_cd color | |
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| #pragma range diff_rough 0! 1! | |
| #pragma label diff_tex_p "Diffuse Texture Path" |
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