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by credit_guy
1470 days ago
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You can see it this way, or you can see it differently. Anyone who's doing matrix multiplication in Python uses numpy. Numpy is a standard library in Python, it's not a fancy thing that only a few specialized programmers use. The creators of Umka chose their own benchmark to show people how good Umka is. It's the first thing you see when you open the github page. They could have chosen anything else, but they chose a matrix multiplication benchmark. Is matrix multiplication relevant for the Umka use case? I don't know, but if it is, the relevant comparison point is Python+Numpy, not Python alone. In which case rather than Umka being twice as fast, Umka is about 10000 slower. |
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