[Numpy-discussion] multiprocessing shared arrays and numpy

[Nadav Horesh]

Extended module that I used for some useful work.
Comments:
  1. Sturla's module is better designed, but did not work with very large (although sub GB) arrays
  2. Tested on 64 bit linux (amd64) + python-2.6.4 + numpy-1.4.0

  Nadav.


-----Original Message-----
From: numpy-discussion-bounces at scipy.org on behalf of Nadav Horesh
Sent: Thu 04-Mar-10 11:55
To: Discussion of Numerical Python
Subject: RE: [Numpy-discussion] multiprocessing shared arrays and numpy
 
Maybe the attached file can help. Adpted and tested on amd64 linux

  Nadav


-----Original Message-----
From: numpy-discussion-bounces at scipy.org on behalf of Nadav Horesh
Sent: Thu 04-Mar-10 10:54
To: Discussion of Numerical Python
Subject: Re: [Numpy-discussion] multiprocessing shared arrays and numpy
 
There is a work by Sturla Molden: look for multiprocessing-tutorial.pdf
and sharedmem-feb13-2009.zip. The tutorial includes what is dropped in
the cookbook page. I am into the same issue and going to test it today.

  Nadav


On Wed, 2010-03-03 at 15:31 +0100, Jesper Larsen wrote:
> Hi people,
> 
> I was wondering about the status of using the standard library
> multiprocessing module with numpy. I found a cookbook example last
> updated one year ago which states that:
> 
> "This page was obsolete as multiprocessing's internals have changed.
> More information will come shortly; a link to this page will then be
> added back to the Cookbook."
> 
> http://www.scipy.org/Cookbook/multiprocessing
> 
> I also found the code that used to be on this page in the cookbook but
> it does not work any more. So my question is:
> 
> Is it possible to use numpy arrays as shared arrays in an application
> using multiprocessing and how do you do it?
> 
> Best regards,
> Jesper
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