Hi, Lev --- As Garrett has mentioned, we have wrapped all of CULA using ctypes and PyCUDA. If you'd like to get a "0.1" release, send me some mail. We're planning a more packaged release soon, but you shouldn't have any problem using it.
^L On Mon, Jun 21, 2010 at 1:05 PM, Lev Givon <[email protected]> wrote: > I've been trying to use PyCUDA to pass data to and from a GPU for > processing with the device functions in the free version of the CULA > toolkit [1]. Based upon past postings to the list and the ctypes > approach used in parret [2], I gather that this is possible with CUDA > 3.0. However, it seems that the CULA device functions I invoke are > having no effect upon the data copied over to the CPU. (See attached > code.) > > Has anyone managed to do the above successfully? I'm using PyCUDA > 0.94rc with CUDA 3.0 on 64-bit Linux. > > Thanks, > L.G. > > [1] http://www.culatools.com > [2] http://www.mathcs.emory.edu/~yfan/PARRET/ > > _______________________________________________ > PyCUDA mailing list > [email protected] > http://lists.tiker.net/listinfo/pycuda > > -- Louis Theran Research Assistant Professor Math Department, Temple University http://math.temple.edu/~theran/ +1.215.204.3974
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