`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 CPUs.

`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:
http://en.wikipedia.org/wiki/CUDA#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 implementations.

`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
animations.

`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*