Deprecated

accelerate-cuda

Accelerate backend for NVIDIA GPUs https://github.com/AccelerateHS/accelerate-cuda/

Latest on Hackage:0.17.0.0

This package is not currently in any snapshots. If you're interested in using it, we recommend adding it to Stackage Nightly. Doing so will make builds more reliable, and allow stackage.org to host generated Haddocks.

BSD3 licensed by Manuel M T Chakravarty, Robert Clifton-Everest, Gabriele Keller, Sean Lee, Trevor L. McDonell
Maintained by Trevor L. McDonell

This backend has been deprecated in favour of accelerate-llvm-ptx.

This library implements a backend for the Accelerate language instrumented for parallel execution on CUDA-capable NVIDIA GPUs. For further information, refer to the main Accelerate package: http://hackage.haskell.org/package/accelerate

To use this backend you will need:

  1. A CUDA-enabled NVIDIA GPU with, for full functionality, compute capability 1.3 or greater. See the table on Wikipedia for supported GPUs: http://en.wikipedia.org/wiki/CUDA#Supported_GPUs

  2. The CUDA SDK, available from the NVIDIA Developer Zone: http://developer.nvidia.com/cuda-downloads

See the Haddock documentation for additional information related to using this backend.

Compile modules that use the CUDA backend with the -threaded flag.

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