Package Info


An embedded language for accelerated array processing


'Data.Array.Accelerate' defines an embedded array language for computations for high-performance computing in Haskell. Computations on multi-dimensional, regular arrays are expressed in the form of parameterised collective operations, such as maps, reductions, and permutations. These computations may then be online compiled and executed on a range of architectures.

[/A simple example/]

As a simple example, consider the computation of a dot product of two vectors of floating point numbers:

> dotp :: Acc (Vector Float) -> Acc (Vector Float) -> Acc (Scalar Float) > dotp xs ys = fold (+) 0 (zipWith (*) xs ys)

Except for the type, this code is almost the same as the corresponding Haskell code on lists of floats. The types indicate that the computation may be online-compiled for performance - for example, using 'Data.Array.Accelerate.LLVM.PTX' it may be on-the-fly off-loaded to the GPU.

[/Additional components/]

The following supported add-ons are available as separate packages. Install them from Hackage with 'cabal install <package>'

  • 'accelerate-llvm-native': Backend supporting parallel execution on multicore


  • 'accelerate-llvm-ptx': Backend supporting parallel execution on CUDA-capable

NVIDIA GPUs. Requires a GPU with compute capability 2.0 or greater. See the following table for supported GPUs: <>

  • 'accelerate-cuda': Backend targeting CUDA-enabled NVIDIA GPUs.

Requires a GPU with compute compatibility 1.2 or greater. /NOTE: This backend is being deprecated in favour of 'accelerate-llvm-ptx'./

  • 'accelerate-examples': Computational kernels and applications showcasing the

use of Accelerate as well as a regression test suite, supporting function and performance testing.

  • 'accelerate-io': Fast conversions between Accelerate arrays and other array

formats (including vector and repa).

  • 'accelerate-fft': Discrete Fourier transforms, with FFI bindings to optimised


  • 'accelerate-bignum': Fixed-width large integer arithmetic.

  • 'colour-accelerate': Colour representations in Accelerate (RGB, sRGB, HSV,

and HSL).

  • 'gloss-accelerate': Generate gloss pictures from Accelerate.

  • 'gloss-raster-accelerate': Parallel rendering of raster images and


  • 'lens-accelerate': Lens operators for Accelerate types.

  • 'linear-accelerate': Linear vector spaces in Accelerate.

  • 'mwc-random-accelerate': Generate Accelerate arrays filled with high quality

pseudorandom numbers.

[/Examples and documentation/]

Haddock documentation is included in the package

The 'accelerate-examples' package demonstrates a range of computational kernels and several complete applications, including:

  • An implementation of the Canny edge detection algorithm

  • An interactive Mandelbrot set generator

  • A particle-based simulation of stable fluid flows

  • An /n/-body simulation of gravitational attraction between solid particles

  • An implementation of the PageRank algorithm

  • A simple interactive ray tracer

  • A particle based simulation of stable fluid flows

  • A cellular automata simulation

  • A "password recovery" tool, for dictionary lookup of MD5 hashes

'lulesh-accelerate' is an implementation of the Livermore Unstructured Lagrangian Explicit Shock Hydrodynamics (LULESH) mini-app. LULESH represents a typical hydrodynamics code such as ALE3D, but is highly simplified and hard-coded to solve the Sedov blast problem on an unstructured hexahedron mesh.

[/Mailing list and contacts/]

  • Mailing list: <accelerate-haskell'> (discussion of both use

and development welcome).

  • Sign up for the mailing list here:


  • Bug reports and issue tracking:

<> .

License: BSD-3-Clause



Package Version Update ID Released Package Hub Version Platforms Subpackages info GA Release 2018-08-01 15
  • AArch64
  • ghc-accelerate
  • ghc-accelerate-devel info GA Release 2018-07-31 15
  • ppc64le
  • ghc-accelerate
  • ghc-accelerate-devel info GA Release 2018-07-30 15
  • x86-64
  • ghc-accelerate
  • ghc-accelerate-devel