On Sun, May 18, 2025 at 10:39 AM Jerome Kieffer <jerome.kief...@esrf.fr> wrote: > > Hi, > > First I would like to highlight that "X86_V2" is very specific to the > implementation in numpy, basically this implies the support of all 128 > bits SIMD extensions, i.e. SSE1,2,3&4, but does apparenty not requires > any 256bit SIMD (AVX). > > Ralph, the stats you are using are made on end-user hardware which gets > replaced much faster than servers, while numpy is very likely to be > used on elder hardware, especially for CI where elder hardware still ok > and often recycled. For example, we are still renting severs which is > X86_V2 but not X86_V3 for performing the CI/CD of our projects. > > Cheers, > > Jerome >
> -- > Jérôme Kieffer > _______________________________________________ Interesting. Could you give some more information that might convince NumPy to continue supporting these old machines? Renting implies you do not own them and are paying for the service. Are the energy/speed tradeoffs worth continuing with them, rather than asking the hosting service for a more modern machine? Do they use Numpy2.x in the CI/CD pipeline? Matti
_______________________________________________ NumPy-Discussion mailing list -- numpy-discussion@python.org To unsubscribe send an email to numpy-discussion-le...@python.org https://mail.python.org/mailman3/lists/numpy-discussion.python.org/ Member address: arch...@mail-archive.com
