Re: GPU computing for octave

[melonakos]

Hello everyone,

We recently released Jacket v1.0 - a CUDA-based engine for MATLAB.  Jacket
uses MEX to interface with MATLAB, so we're wondering if it will work with
Octave.  If there is any Octave developers interested in trying this out,
please email us and we'd be happy to arrange this with you.

To learn more, check out Jacket here:  http://www.accelereyes.com

Best,

John Melonakos
AccelerEyes


David Bateman wrote:
> 
> 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.
> 
> -- 
> David Bateman                                address@hidden
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> 

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