How to execute fft's with gpu,cuda in parallel (spmd)?

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Greg
Greg 2013-6-12
I have IxJxL single type data volume. I want to execute 1-D fft's of L length IxJ times.
Win7-64,GFX670,MatlabR2012a
data_device = gpuArray(data);
Nested 'for' loop on GPU works slower than on CPU.
for ii = 1:I
for jj = 1:J
data_device(ii,jj,:) = fft(data_device(ii,jj,:));
end
end
'Parfor' works even slower than simple 'for' loop.
1 Is there a way to use spmd method on GPU alike its done on CPU? How?
2 What is the optimal size of data to be send to GPU, considering params gpuDevice() function retuns?

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Edric Ellis
Edric Ellis 2013-6-12
MATLAB's FFT function can operate along any single dimension. So you can simply do:
data_device = fft(data_device, [], 3);
rather than having a loop. See the FFT reference page for more.
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Ben Tordoff
Ben Tordoff 2013-6-17
Hi Greg, assuming you mean a GTX670, it actually has 1344 cores (7 processors, each with 192 cores). However, you cannot address a core individually. Infact you can't even address a processor individually. You need to send the GPU one big operation to perform and let it work out how to split it over the heirarchy of symmetric multi-processors and the cores they contain.
Our recommendation is always to send as much work (and data) in a single command as you can.

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