cufft: Haskell bindings for the CUFFT library
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.
[Skip to Readme]
Modules
[Index] [Quick Jump]
Downloads
- cufft-0.10.0.0.tar.gz [browse] (Cabal source package)
- Package description (as included in the package)
Maintainer's Corner
For package maintainers and hackage trustees
Candidates
| Versions [RSS] | 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 |
|---|---|
| Change log | CHANGELOG.md |
| Dependencies | base (>=4 && <5), cuda (>=0.8) [details] |
| Tested with | ghc >=7.6 |
| 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 2020-08-26T10:29:53Z |
| Distributions | |
| Reverse Dependencies | 3 direct, 1 indirect [details] |
| Downloads | 10856 total (18 in the last 30 days) |
| Rating | (no votes yet) [estimated by Bayesian average] |
| Your Rating | |
| Status | Docs uploaded by user [build log] All reported builds failed as of 2020-08-26 [all 2 reports] |
Readme for cufft-0.10.0.0
[back to package description]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.