[SciPy-User] Can fftconvolve use a faster fft?

[Gregory Lee]

On Thu, Jan 11, 2018 at 2:03 PM, Ralf Gommers <ralf.gommers at gmail.com>
wrote:

>
>
> On Fri, Jan 12, 2018 at 3:16 AM, Neal Becker <ndbecker2 at gmail.com> wrote:
>
>> Can fftconvolve use fftw, or mkl fft?
>>
>
> Yes, with pyfftw: https://hgomersall.github.io/
> pyFFTW/sphinx/tutorial.html?highlight=fftconvolve#monkey-
> patching-3rd-party-libraries
>
> Ralf
>
>
Also, note that the pyFFTW scipy interfaces default to "threads=1", so the
monkeypatching as listed in the pyFFTW docs may not give a big speed
improvement for all transform sizes.  It is likely you will get further
speedup if you monkey patch specific functions using functools.partial to
change the default threads to a more appropriate value for your system.


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