Public | Automated Build

Last pushed: 12 days ago
Short Description
Examples and regression tests for the Accelerate array language
Full Description

Examples programs using Accelerate




Example programs using the Accelerate library. If you add new features to the
base library or find a bug, please add a test case. The aim is for this program
to evolve and be useful for both performance and regression testing.

If you have found a bug, please report it to:
https://github.com/AccelerateHS/accelerate/issues

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-4.0-dev
    • freeglut3-dev
    • libfftw3-dev
  • Mac OS (homebrew)

    • fftw
    • libffi
    • llvm-hs/homebrew-llvm/llvm-4.0

If you want to use the CUDA GPU enabled backend
accelerate-llvm-ptx, you
will also need to install the CUDA toolkit for your system. You can find an
installer on NVIDIA's website here:

stack

For development, the recommend build method is via the
stack tool. This will simplify pulling in
dependencies not yet on Hackage. For example, to build using ghc-8.0:

ln -s stack-8.0.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'.

Docker Pull Command
Owner
tmcdonell
Source Repository