On Tue, May 9, 2023 at 12:13 PM Ralf Gommers <ralf.gomm...@gmail.com> wrote:
> > > On Tue, May 9, 2023 at 5:11 AM Jerry Morrison < > jerry.morrison+nu...@gmail.com> wrote: > >> This sounds terrific. Is there a technique to get such a performance >> improvement with Accelerate? >> >> We tried: >> >> pip install numpy==1.24.3 --no-binary numpy >> >> >> with and without a ~/.numpy-site.cfg file that sets >> >> [accelerate] >> libraries = Accelerate, vecLib >> >> >> on Intel and M2 Macs on macOS 13.3. While np.show_config() reports that >> numpy is linked to Accelerate, a large dot product runs maybe twice as fast >> as with OpenBLAS, and our full bio simulation's performance is within >> measurement noise. >> >> Trying the --no-use-pep517 argument had no obvious impact. >> > > From the release notes: "To use the new interfaces, define > ACCELERATE_NEW_LAPACK before including the Accelerate or vecLib headers". > So you are still using the old version of the library if you did not do > that. This is not entirely trivial to do now; I expect we'll see a PR to > enable the new libraries quite soon. > ... macOS Ventura 13.3 release notes. So Clemens must've tweaked the Numpy source code or build commands to do that. OK, I'll wait for this PR. Thanks, Ralf! > > Cheers, > Ralf > > > >> >> Best, >> Jerry >> >> >> On Thu, Mar 23, 2023 at 3:52 AM Ralf Gommers <ralf.gomm...@gmail.com> >> wrote: >> >>> >>> >>> On Thu, Mar 23, 2023 at 10:43 AM Clemens Brunner < >>> clemens.brun...@gmail.com> wrote: >>> >>>> Thanks Ralf, this sounds great! Just making sure I understand, this >>>> means that for macOS 13, we have to enable Accelerate by building NumPy >>>> from source. >>> >>> >>> Indeed. Either that, or use a packaging system that's more capable in >>> this regard - conda-forge for example will give you runtime switching of >>> BLAS and LAPACK libraries out of the box ( >>> https://conda-forge.org/docs/maintainer/knowledge_base.html#switching-blas-implementation). >>> Several Linux distros support this too, via mechanisms like >>> `update-alternatives` - but that won't help you much on macOS of course. >>> >>> Once macOS 13.3 is out, building SciPy from source will also link to >>>> Accelerate. Finally, Accelerate support will be enabled by default in >>>> binary wheels for NumPy and SciPy once macOS 14 is out (presumably some >>>> time in October this year). Correct? >>>> >>> >>> Yes, if I had to guess now then I'd say that this will be the default in >>> NumPy 2.0 at the end of the year. >>> >>> Cheers, >>> Ralf >>> >>
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