henlo, my name is Theia # Example programs using Accelerate [![GitHub CI](https://github.com/tmcdonell/accelerate-examples/workflows/CI/badge.svg)](https://github.com/tmcdonell/accelerate-examples/actions) [![Gitter](https://img.shields.io/gitter/room/nwjs/nw.js.svg)](https://gitter.im/AccelerateHS/Lobby)
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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'.