Hi, > Is there an official benchmark suite for NumPy or a more relevant workload to > compare against CPython? What is NumPyPy's maturity / adoption rate from your > knowledge?
I do not think there is. I have been looking for something similar for over a year. It seems though people tend to make their own benchmarks for their own jit compiler, stressing their optimization. (Well, I did too for my thesis) Having that said, it would be beneficial task to sit down and extract such a benchmark set not targeting a special jit/aot compiler, but rather thinking about real world application workloads. > I have been working with NumPyPy to evaluate its performance and it seems significantly slower compared to CPython NumPy or even PyPy NumPy (installed with pip). I agree with Yury, there are 2-3 benchmarks for NumPyPy where it performs worse than cpython. All others are not significant. Have you tried turning on the beta verion of the vectorizer in NumPyPy? (command is $ pypy --jit vec=1 program.py args) Cheers, Richard
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