[Numpy-discussion] Dropping support for Accelerate

Nathan Goldbaum nathan12343 at gmail.com
Sun Jul 23 11:22:08 EDT 2017


See
https://mail.scipy.org/pipermail/numpy-discussion/2012-August/063589.html
and replies in that thread.

Quote from an Apple engineer in that thread:

"For API outside of POSIX, including GCD and technologies like Accelerate,
we do not support usage on both sides of a fork(). For this reason among
others, use of fork() without exec is discouraged in general in processes
that use layers above POSIX."

On Sun, Jul 23, 2017 at 10:16 AM, Ilhan Polat <ilhanpolat at gmail.com> wrote:

> That's probably because I know nothing about the issue, is there any
> reference I can read about?
>
> But in general, please feel free populate new items in the wiki page.
>
> On Sun, Jul 23, 2017 at 11:15 AM, Nathaniel Smith <njs at pobox.com> wrote:
>
>> I've been wishing we'd stop shipping Accelerate for years, because of
>> how it breaks multiprocessing – that doesn't seem to be on your list
>> yet.
>>
>> On Sat, Jul 22, 2017 at 3:50 AM, Ilhan Polat <ilhanpolat at gmail.com>
>> wrote:
>> > A few months ago, I had the innocent intention to wrap LDLt
>> decomposition
>> > routines of LAPACK into SciPy but then I am made aware that the minimum
>> > required version of LAPACK/BLAS was due to Accelerate framework. Since
>> then
>> > I've been following the core SciPy team and others' discussion on this
>> > issue.
>> >
>> > We have been exchanging opinions for quite a while now within various
>> SciPy
>> > issues and PRs about the ever-increasing Accelerate-related issues and
>> I've
>> > compiled a brief summary about the ongoing discussions to reduce the
>> > clutter.
>> >
>> > First, I would like to kindly invite everyone to contribute and sharpen
>> the
>> > cases presented here
>> >
>> > https://github.com/scipy/scipy/wiki/Dropping-support-for-Accelerate
>> >
>> > The reason I specifically wanted to post this also in NumPy mailing
>> list is
>> > to probe for the situation from the NumPy-Accelerate perspective. Is
>> there
>> > any NumPy specific problem that would indirectly effect SciPy should the
>> > support for Accelerate is dropped?
>> >
>> >
>> >
>> >
>> > _______________________________________________
>> > NumPy-Discussion mailing list
>> > NumPy-Discussion at python.org
>> > https://mail.python.org/mailman/listinfo/numpy-discussion
>> >
>>
>>
>>
>> --
>> Nathaniel J. Smith -- https://vorpus.org
>> _______________________________________________
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>> NumPy-Discussion at python.org
>> https://mail.python.org/mailman/listinfo/numpy-discussion
>>
>
>
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