[Numpy-discussion] FFTS for numpy's FFTs (was: Re: Choosing between NumPy and SciPy functions)

[Todd]

On Thu, Dec 11, 2014 at 4:55 PM, Robert Kern <robert.kern at gmail.com> wrote:

> On Thu, Dec 11, 2014 at 3:53 PM, Eric Moore <ewm at redtetrahedron.org>
> wrote:
> >
> > On Thu, Dec 11, 2014 at 10:41 AM, Todd <toddrjen at gmail.com> wrote:
>
> >> I recently became aware of another C-library for doing FFTs (and other
> things):
> >>
> >> https://github.com/arrayfire/arrayfire
> >>
> >> They claim to have comparable FFT performance to MKL when run on a CPU
> (they also support running on the GPU but that is probably outside the
> scope of numpy or scipy).  It used to be proprietary but now it is under a
> BSD-3-Clause license.  It seems it supports non-power-of-2 FFT operations
> as well (although those are slower).  I don't know much beyond that, but it
> is probably worth looking in
> >
> > AFAICT the cpu backend is a FFTW wrapper.
>
> Indeed.
> https://github.com/arrayfire/arrayfire/blob/devel/src/backend/cpu/fft.cpp#L16
>

Oh, nevermind then.
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