[Numpy-discussion] Built Lapack, Atlas from source.... now numpy.linalg.eig() hangs at 100% CPU
Sat Mar 28 13:35:08 CDT 2009
Thanks. I need to get the backport for multiprocessing on 2.5.
But now, it's more of a matter of not wanting to admit defeat....
On Sat, Mar 28, 2009 at 2:30 PM, Robin <firstname.lastname@example.org> wrote:
> 2009/3/28 Chris Colbert <email@example.com>:
> > Alright, building numpy against atlas from the repositories works, but
> > atlas only contains the single threaded libraries. So i would like to get
> > build working completely.
> It doesn't help at all with your problem - but I thought I'd point out
> there are other ways to exploit multicore machines than using threaded
> ATLAS (if that is your goal).
> For example, I use single threaded libraries and control parallel
> execution myself using multiprocessing module (this is easier for
> simple batch jobs, but might not be appropriate for your case).
> There is some information about this on the wiki:
> Numpy-discussion mailing list
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