accelerate-fft: FFT using the Accelerate library

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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 (enabled by default).

Refer to the main Accelerate package for more information:

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Change log
Dependencies accelerate (>=1.3), accelerate-llvm (>=1.3), accelerate-llvm-native (>=1.3), accelerate-llvm-ptx (>=1.3), base (>=4.9 && <5), bytestring (>=0.9), carray (>=0.1.5), containers (>=0.5), cuda (>=0.5), cufft (>=0.9), fft (>=0.1.8), file-embed (>=0.0.10), hashable (>=1.0), lens-accelerate (>=0.2), mtl (>=2.2), unordered-containers (>=0.2) [details]
License BSD-3-Clause
Author The Accelerate Team
Maintainer Trevor L. McDonell <>
Category Accelerate, Math
Home page
Bug tracker
Source repo head: git clone git://
this: git clone git:// v1.3.0.0)
Uploaded by TrevorMcDonell at 2020-08-28T10:25:44Z


Manual Flags

Automatic Flags

Use CUFFT-based implementation in the LLVM.PTX backend


Use FFTW-based implementation in the LLVM.Native backend


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


Maintainer's Corner

For package maintainers and hackage trustees

Readme for accelerate-fft-

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henlo, my name is Theia

FFT components for the Accelerate language

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FFT library for the embedded array language Accelerate. For details on Accelerate, refer to the main repository.

The following build flags control whether optimised implementations are used. Note that enabling these (which is the default) will require the corresponding Accelerate backend as a dependency:

Contributions and bug reports are welcome!
Please feel free to contact me through GitHub or