DSP Performance Comparison Numpy vs. Cython vs. Numba vs. Pythran vs. Julia

This page summarizes the projects mentioned and recommended in the original post on news.ycombinator.com

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  • The repository is here https://gitlab.com/Jochen/jochen.gitlab.io

    (you can find it under code in the navigation bar).

    Regarding dummy arrays, you can just generate random arrays of complex values, that should normally not cause issues (although obviously the filter does not converge to anything). The size I used for the demo is (2, 200 000), i.e. 2 polarisations and 100 000 symbols 2 times oversampled

  • FLoops.jl

    Fast sequential, threaded, and distributed for-loops for Julia—fold for humans™

  • Are the Cython and Pythran codes running in parallel? To do that with Julia: https://docs.julialang.org/en/v1/manual/multi-threading/

    Or https://github.com/JuliaFolds/FLoops.jl

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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