Re: GPU computing for octave

[David Bateman]

Ronny Lindner wrote:
> hello,
>
> I recently started my diploma thesis on GPU computing and I want to
> develop plugins for some octave functions so that they run on the
> graphics card. It might be possible to achieve a speedup of up to 20!
>
> I know there is a CUDA (GPU computing) plugin for matlab, but it only
> works on nvidia cards and my aim is to develop an octave plugin for
> amd+nvidia, windows+linux.
> Has anyone tried something similar before?

However, wouldn't trying to use the CUDA interface with Octave already
be a good start.. Octave can use matlab mex file in source code form and
CUDA mex files are supplied with their source.. Also it seems that the
NVIDIA GPU works on C99 complex values rather than their real and
imaginary parts as matlab doe, so there will be speed improvements if
these files were converted directly to oct-files
>
> Do you know any functions that are good candidates for parallelization?
What do you mean? I'd probably wouldn't base an answer on what is most
easily parallelized, but rather what function being parallelized will
give the most benefit to my (or rather your) programs.. I'd probably
target a xGEMM blas replacement and an FFT as the first targets as the
most useful code to have running fast.

D.

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