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Would numpy integration increase parallelization / efficiency? #10

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kmcelwee opened this issue Sep 22, 2020 · 2 comments
Open

Would numpy integration increase parallelization / efficiency? #10

kmcelwee opened this issue Sep 22, 2020 · 2 comments

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@kmcelwee
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@javawolfpack
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javawolfpack commented Apr 10, 2022

If you're sticking with python, likely things like Numba or MPI w/ Python would be better at increasing parallelism and performance. Happened upon the Numberphile video recently that had me discover your code...

Trimming the space aside was looking at a pure C or Rust implementation solely for performance. Possibly COBOL due to the fact the limits of ints will seemingly pose an issue quickly to look beyond the known problem space. Though beyond the number system for COBOL doubt it'd offer enough benefits to take that route.

Anyway just thought I'd mention Numba/MPI for Python since you had this open issue.

@kmcelwee
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Thanks @javawolfpack! (though I realistically won't return to this repo anytime soon) And that numberphile video introduced me to this subject as well 🙂

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