The accelerate-fft package

[ Tags: 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


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Properties

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
Change log CHANGELOG.md
Dependencies accelerate (>=1.0 && <1.2), accelerate-llvm (>=1.0 && <1.2), accelerate-llvm-native (>=1.0 && <1.2), accelerate-llvm-ptx (>=1.0 && <1.2), 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 BSD3
Author Manuel M T Chakravarty, Gabriele Keller, Trevor L. McDonell, Robert Clifton-Everest
Maintainer Trevor L. McDonell <tmcdonell@cse.unsw.edu.au>
Category Compilers/Interpreters, Concurrency, Data, Parallelism
Home page https://github.com/AccelerateHS/accelerate-fft
Bug tracker https://github.com/AccelerateHS/accelerate/issues
Source repository head: git clone git://github.com/AccelerateHS/accelerate-fft.git
this: git clone git://github.com/AccelerateHS/accelerate-fft.git(tag 1.1.0.0)
Uploaded Thu Sep 21 07:45:45 UTC 2017 by TrevorMcDonell
Distributions NixOS:1.1.0.0, Stackage:1.1.0.0
Downloads 1535 total (89 in the last 30 days)
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Modules

[Index]

Flags

NameDescriptionDefaultType
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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Maintainer's Corner

For package maintainers and hackage trustees


Readme for accelerate-fft-1.1.0.0

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FFT Component for the Accelerate Array Language

Build Status Hackage

FFT library for the embedded array language Accelerate. This will use optimised backend implementations where available. For details on Accelerate, refer to the main repository.