Hi, I am the one that reported the issue with parallelization on
sagemanifolds. I have run these examples
http://doc.sagemath.org/html/en/reference/parallel/sage/parallel/multiprocessing_sage.html
on macOSX and they worked.
Also this simple example worked
from multiprocessing import Pool
def f(x):
return x*x
p = Pool(2)
print(p.map(f, [1, 2, 3]))
I'm not an developer but I want to help running tests.
El miércoles, 15 de agosto de 2018, 17:46:39 (UTC+2), Eric Gourgoulhon
escribió:
>
> Hi,
>
> Various Sage users have reported on that parallelization of tensor field
> computations does not work on macOS. The latest report, yesterday on
> sagemanifolds.list:
> https://sympa.obspm.fr/wws/arc/sagemanifolds.list/2018-08/msg00003.html
> says that this example notebook
>
> http://nbviewer.jupyter.org/github/sagemanifolds/SageManifolds/blob/master/Worksheets/v1.3/SM_Kerr.ipynb
> fails with TypeError: Aborted (cf. the attached log), as soon as nproc is
> set to something different than 1 in cell no. 4:
>
> Parallelism().set(nproc=8)
> Parallelization of computations on manifolds is implemented via the
> multiprocessing module (using the @parallel decorator).
> It works well on Linux and provides important speed-up.
> On macOS, while it fails in interactive sessions, it seems to work within the
> doctest framework (parallelization is doctested
> in various files in src/sage/manifolds and src/sage/tensor/modules).
>
> Apart from the manifold framework, does parallelization via the
> multiprocessing module has been already shown to work on macOS?
> Any hint on this issue would be appreciated (we don't have any macOS computer
> in our group...)
>
> Eric.
>
>
>
>
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