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Last active October 17, 2024 14:18
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Comparison of (pseudo-) random number generators
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@sdebionne
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Numpy is even fast !

MKL Random generators, that leverage the Vector Statistics Random Number Generators of modern CPUs, or whatever mathematical library is used to implement Numpy is fast. You are comparing Numpy's implementation, dedicated to array data structures (contiguous in memory) that are perfect candidate for vector (SIMD) implementation, to standard libraries implementation that make no assumption whatsoever. It's not about languages, it's about using the right tools for the use case. Here it looks like Numpy is the right tool -or give you an easy interface to it.

Yes, it's trolling Friday.

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