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

[Neal Becker]

I found this:
https://github.com/IntelPython/mkl_fft

Not sure if using this (not even sure how) would improve scipy fft_convolve
though.

On Thu, Jan 11, 2018 at 10:07 PM Frederic Turmel <me at fredt.org> wrote:

> I'm confused. I though it was default
> See
> https://www.google.com/amp/s/amp.reddit.com/r/Python/comments/44klx4/anaconda_25_release_now_with_mkl_optimizations/
>
> Benchmark
>
> https://github.com/ContinuumIO/mkl-optimizations-benchmarks/blob/master/README.md
>
> On Jan 11, 2018 12:39 PM, Ralf Gommers <ralf.gommers at gmail.com> wrote:
>
>
>
> On Fri, Jan 12, 2018 at 9:18 AM, Frederic Turmel <me at fredt.org> wrote:
>
> If you use anaconda by default it will install the MKL version of scipy
> and numpy.
>
>
> True, but that won't make scipy or numpy use the MKL FFT capabilities.
>
> We need a switchable backend for this, we have had discussions with one of
> the Intel MKL engineers on this.
>
> Ralf
>
>
>
> On Jan 11, 2018 11:03 AM, 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
>
>
>
>
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