the best way to conduct fft using GPU accelaration with cuda

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the best way to conduct fft using GPU accelaration with cuda



In python, what is the best to run fft using cuda gpu computation?
I am using pyfftw to accelerate the fftn, which is about 5x faster than numpy.fftn.
I want to use pycuda to accelerate the fft. I know there is a library called pyculib, but I always failed to install it using conda install pyculib.
Is there any suggestions?


fftn


numpy.fftn


pycuda


pyculib


conda install pyculib




2 Answers
2



I want to use pycuda to accelerate the fft



You can't. PyCUDA has no built-in FFT support of any kind.



Hopefully this isn't too late of answer, but I also needed a FFT Library that worked will with CUDA without having to programme it myself.



I was using the PyFFT Library which I think is deprecated but should be able to be easily installed via Pip (e.g. pip install pyfft) which I much prefer over anaconda. You could also try Reikna, which I have found very useful if you are doing Spectrograms as well.


pip install pyfft



Hope this helps a bit! I hope talonmies was too off-putting :)






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