accelerate-fft: FFT using the Accelerate library

[ bsd3, compilers-interpreters, concurrency, data, library, parallelism ] [ Propose Tags ]

Rank-polymorphic discrete Fourier transform (DFT), computed with a fast Fourier transform (FFT) algorithm using the Accelerate library. Note that optimised implementations are available via foreign libraries, but must be explicitly enabled.

Refer to the main Accelerate package for more information: http://hackage.haskell.org/package/accelerate

Versions 0.13.0.0, 0.14.0.0, 0.15.0.0, 0.15.1.0, 1.0.0.0, 1.1.0.0, 1.2.0.0
Dependencies accelerate (>=1.0), accelerate-cuda (>=0.16), accelerate-llvm (>=1.0), accelerate-llvm-native (>=1.0), accelerate-llvm-ptx (>=1.0), base (>=4.7 && <4.11), bytestring (>=0.9), carray (>=0.1.5), cuda (>=0.5), cufft (>=0.1.2), fft (>=0.1.8), file-embed (>=0.0.10), storable-complex (>=0.2) [details]
License BSD-3-Clause
Author Manuel M T Chakravarty, Gabriele Keller, Trevor L. McDonell, Robert Clifton-Everest
Maintainer Trevor L. McDonell <tmcdonell@cse.unsw.edu.au>
Revised Revision 2 made by TrevorMcDonell at Fri Aug 18 14:06:29 UTC 2017
Category Compilers/Interpreters, Concurrency, Data, Parallelism
Home page https://github.com/AccelerateHS/accelerate-fft
Bug tracker https://github.com/AccelerateHS/accelerate/issues
Source repo head: git clone git://github.com/AccelerateHS/accelerate-fft.git
this: git clone git://github.com/AccelerateHS/accelerate-fft.git(tag 1.0.0.0)
Uploaded by TrevorMcDonell at Fri Mar 31 05:36:59 UTC 2017
Distributions NixOS:1.2.0.0
Downloads 2976 total (102 in the last 30 days)
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Status Docs uploaded by user
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Modules

[Index]

Flags

NameDescriptionDefaultType
cuda

Use CUFFT-based implementation in the CUDA backend

DisabledAutomatic
llvm-ptx

Use CUFFT-based implementation in the LLVM.PTX backend

EnabledAutomatic
llvm-cpu

Use FFTW-based implementation in the LLVM.Native backend

EnabledAutomatic

Use -f <flag> to enable a flag, or -f -<flag> to disable that flag. More info

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