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Hi guys
I got a code consisting of 3 loops and packed with fft2 command. Since it is not possible to make the code itself parallel, I wonder if it is possible to make the fft2 parallel instead and see how much it can speed up the code.
Any help in this regard is appreciated
Thanks
Mohammad

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michio
michio 2016-9-1

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Are you considering using gpu? fft2 is one of the built-in functions that support gpuArray. It requires Parallel Computing Toolbox though.
http://www.mathworks.com/help/distcomp/run-built-in-functions-on-a-gpu.html http://www.mathworks.com/matlabcentral/newsreader/view_thread/309375

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Thanks Michio
I wonder whether it may take more time than the traditional fft2 to send a huge matrix regularly to gpu and apply fft2 on it. Is that a right thing to consider or using gpu is always faster?
Walter Roberson
Walter Roberson 2016-9-4
gpu is not always faster. You need to do tests. What would a sample array size be for you?
Walter Roberson
Walter Roberson 2016-9-4
One thing to watch out for is that GPUs often have limited memory. It is common for the largest practical input array size to be about 1/8th of the amount of memory on the GPU.
On the test I just did on my Geforce GTX 650M (not a high end device), gputimeit() of fft2 of a random 1000 x 1000 array took aproximately twice as long as on the CPU. I could not go much faster than 1000 x 1000 before running out of memory on the gpu.

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