WolfLink comments on Synapse is the epitome of this

[–] WolfLink@sh.itjust.works 41 points 1 year ago (1 child)

Of the ways you listed the only one that will actually take advantage of a multi core CPU is multiprocessing

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[–] lime@feddit.nu 11 points 1 year ago (1 child)

yup, that's true. most meaningful tasks are io-bound so "parallel" basically qualifies as "whatever allows multiple threads of execution to keep going". if you're doing numbercrunching in pythen without a proper library like pandas, that can parallelize your calculations, you're doing it wrong.

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[–] WolfLink@sh.itjust.works 8 points 1 year ago* (1 child)

I’ve used multiprocessing to squeeze more performance out of numpy and scipy. But yeah, resorting to multiprocessing is a sign that you should be dropping into something like Rust or a C variant.

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[–] itslilith@lemmy.blahaj.zone 1 point 1 year ago

Most numpy array functions already utilize multiple cores, because they're optimized and written in C

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lemmy:	0.19.20
mlmym (mschae):	26.3.4