https://github.com/acceleratehs/accelerate-examples

Examples for the Accelerate language
https://github.com/acceleratehs/accelerate-examples

Last synced: about 1 year ago
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Examples for the Accelerate language

• Host: GitHub
• URL: https://github.com/acceleratehs/accelerate-examples
• Owner: AccelerateHS
• License: other
• Created: 2012-04-23T04:01:36.000Z (about 14 years ago)
• Default Branch: master
• Last Pushed: 2020-08-28T15:28:21.000Z (almost 6 years ago)
• Last Synced: 2024-04-25T23:31:25.821Z (about 2 years ago)
• Language: Haskell
• Homepage: http://www.acceleratehs.org
• Size: 5.79 MB
• Stars: 69
• Watchers: 20
• Forks: 27
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          




# Example programs using Accelerate

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Example programs using the Accelerate library. The aim is for this package to

evolve and be useful for both performance and regression testing.

Contributions and bug reports are welcome!


Please feel free to contact me through [GitHub](https://github.com/AccelerateHS/accelerate/issues) or [gitter.im](https://gitter.im/AccelerateHS/Lobby).

Installation

------------

### External dependencies

Installation of `accelerate-examples` and its dependencies requires several

external packages. You may need to adjust the package names or versions slightly

for your system.

  * Ubuntu/Debian (apt-get):

    - llvm-9-dev

    - freeglut3-dev

    - libfftw3-dev

  * Mac OS ([homebrew](http://brew.sh/index.html))

    - fftw

    - libffi

    - llvm-hs/homebrew-llvm/llvm-9

If you want to use the CUDA GPU enabled backend

[`accelerate-llvm-ptx`](https://github.com/AccelerateHS/accelerate-llvm), you

will also need to install the CUDA toolkit for your system. You can find an

installer on NVIDIA's website here:

  * https://developer.nvidia.com/cuda-downloads

### Building: stack

For development, the recommend build method is via the

[`stack`](http://haskellstack.org) tool. This will simplify pulling in

dependencies not yet on Hackage. For example, to build using ghc-8.10:

```bash

ln -s stack-8.10.yaml stack.yaml    # only once

stack build                         # or, 'stack install' to install the executables globally

```

Before building, you may want to edit the `stack.yaml` file to change the build

configuration. In particular, the `flags` section at the bottom can be used to

enable or disable individual example programs and accelerate backends, as well

as features such as monitoring and debug output.

Adding new backends

-------------------

Adding support for new Accelerate backends should require only a few minor

additions to the cabal file and the module

'Data.Array.Accelerate.Examples.Internal.Backend'.