[Baypiggies] PyCuda - using video card hardware for parallel computation

Seth Friedman sfseth at gmail.com
Wed Jul 14 03:14:50 CEST 2010

This is really neat.   I've got a CUDA-capable nvidia card I'm thinking I
want to write a python program to answer the following question: what/where
is the effect of the GIL when programming 240/480/720 1.3ghz cores?   It
seems like this question must have been conquered to some degree, at
least.   Is this simply a non issue because there isn't any python
"interpreting" happening in parallel, that it's translated in serial
(assuming single-threaded/single-process python doing the farming to the
GPUs) ..?


On Tue, Jul 13, 2010 at 5:56 PM, Fernando Perez <fperez.net at gmail.com>wrote:

> On Tue, Jul 13, 2010 at 4:13 PM, Tony Cappellini <cappy2112 at gmail.com>
> wrote:
> >
> > Does anyone have one of these Nvidia cards and have tried using the
> pyCude
> > package?
> > http://mathema.tician.de/software/pycuda
> Andreas gave a 4-hour tutorial on pycuda and pyopencl at scipy 2 weeks ago:
> http://conference.scipy.org/scipy2010/tutorials.html
> and in the main conference, the Theano talk was also along these lines
> and very interesting (video available):
> http://conference.scipy.org/scipy2010/schedule.html
> Cheers,
> f
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