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

[Christoph Gohlke]

On 1/13/2018 12:50 AM, Ralf Gommers wrote:
> 
> 
> On Sat, Jan 13, 2018 at 2:26 AM, Neal Becker <ndbecker2 at gmail.com 
> <mailto:ndbecker2 at gmail.com>> wrote:
> 
>     I found this:
>     https://github.com/IntelPython/mkl_fft
>     <https://github.com/IntelPython/mkl_fft>
> 
> 
> Ah yes. From memory: because neither NumPy nor SciPy allow switching the 
> implementation, this does some monkeypatching of numpy.fft directly. 
> Probably that's what's shipped in Anaconda then, given the benchmark 
> link below.
> 
> Everyone wants to get rid of such monkeypatching though, hence the 
> support for different backends within numpy and(/or) scipy itself is needed.
> 
> Ralf

Anaconda's numpy is patched to use mkl_fft when available: 
<https://github.com/AnacondaRecipes/numpy-feedstock/blob/master/recipe/0001-use-mklfft-when-available.patch>

Christoph


> 
> 
> 
> 
>     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
>     <mailto: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/
>         <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
>         <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
>         <mailto:ralf.gommers at gmail.com>> wrote:
> 
> 
> 
>             On Fri, Jan 12, 2018 at 9:18 AM, Frederic Turmel
>             <me at fredt.org <mailto: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 <mailto:ralf.gommers at gmail.com>>
>                 wrote:
> 
> 
> 
>                     On Fri, Jan 12, 2018 at 3:16 AM, Neal Becker
>                     <ndbecker2 at gmail.com <mailto: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
>                     <https://hgomersall.github.io/pyFFTW/sphinx/tutorial.html?highlight=fftconvolve#monkey-patching-3rd-party-libraries>
> 
>                     Ralf
> 
> 
> 
> 
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