cufft: Haskell bindings for the CUFFT library

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Warnings:

'ghc-options: -O2' is rarely needed. Check that it is giving a real benefit and not just imposing longer compile times on your users.
Packages relying on Cabal 1.12 or later should specify a specific version of the Cabal spec of the form 'cabal-version: x.y'. Use 'cabal-version: 1.24'.

This library contains FFI bindings to the CUFFT library, which provides highly optimised, FFTW compatible, Fast-Fourier Transform (FFT) implementations for NVIDIA GPUs. The cuFFT library is part of the CUDA developer toolkit.

http://developer.nvidia.com/cuda-downloads

See the travis-ci.org build matrix for tested CUDA library versions.

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Properties

Versions	0.1.0.0, 0.1.0.1, 0.1.0.2, 0.1.0.3, 0.1.1.0, 0.1.2.0, 0.1.2.1, 0.1.2.2, 0.7.5.0, 0.8.0.0, 0.9.0.0, 0.9.0.1, 0.10.0.0, 0.10.0.0
Change log	CHANGELOG.md
Dependencies	base (>=4 && <5), cuda (>=0.8) [details]
License	BSD-3-Clause
Author	Robert Clifton-Everest, Trevor L. McDonell
Maintainer	Trevor L. McDonell <trevor.mcdonell@gmail.com>
Category	Foreign
Home page	https://github.com/robeverest/cufft
Bug tracker	https://github.com/robeverest/cufft/issues
Source repo	head: git clone https://github.com/robeverest/cufft this: git clone https://github.com/robeverest/cufft(tag v0.10.0.0)
Uploaded	by TrevorMcDonell at 2020-08-26T10:04:03Z

Modules

Foreign
- CUDA
  - Foreign.CUDA.FFT
    - Foreign.CUDA.FFT.Error
    - Foreign.CUDA.FFT.Execute
    - Foreign.CUDA.FFT.Plan
    - Foreign.CUDA.FFT.Stream

Downloads

cufft-0.10.0.0.tar.gz [browse] (Cabal source package)
Package description (as included in the package)

Maintainer's Corner

Package maintainers

RobEverest, TrevorMcDonell

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Readme for cufft-0.10.0.0

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Haskell FFI Bindings to CUDA FFT

The cuFFT library provides high performance implementations of Fast Fourier Transform (FFT) operations on NVIDIA GPUs. This is a collection of bindings to allow you to call those functions from Haskell. You will need to install the CUDA driver and developer toolkit.

https://developer.nvidia.com/cuda-toolkit

The configure script will look for your CUDA installation in the standard places, and if the nvcc compiler is found in your PATH, relative to that.