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Date: Wed, 25 Feb 2015 19:03:29 -0800
From: Ethan Furman <ethan@stoneleaf.us>
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Subject: Re: Parallelization of Python on GPU?
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On 02/25/2015 06:35 PM, John Ladasky wrote:
> What I would REALLY like to do is to take advantage of my GPU.  My NVid=
ia graphics
> card has 1152 cores and a 1.0 GHz clock.  I wouldn't mind borrowing a f=
ew hundred
> of those GPU cores at a time, and see what they can do.  In theory, I c=
alculate
> that I can speed up the job by another five-fold.

Only free for academic use:

  https://developer.nvidia.com/how-to-cuda-python


unsure, but looks like free to use:

  http://mathema.tician.de/software/pycuda/


and, of course, the StackOverflow question:

  http://stackoverflow.com/q/5957554/208880

--
~Ethan~


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