[Numpy-discussion] Built Lapack, Atlas from source.... now numpy.linalg.eig() hangs at 100% CPU

Chris Colbert sccolbert@gmail....
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 <robince@gmail.com> wrote:

> 2009/3/28 Chris Colbert <sccolbert@gmail.com>:
> > Alright, building numpy against atlas from the repositories works, but
> this
> > atlas only contains the single threaded libraries. So i would like to get
> my
> > 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:
> http://scipy.org/ParallelProgramming
> Cheers
> Robin
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