ghc-accelerate
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 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/] * Mailing list:<accelerate-haskell'googlegroups.com>(discussion of both use and development welcome). * Sign up for the mailing list here:<http://groups.google.com/group/accelerate-haskell>* Bug reports and issue tracking:<https://github.com/AccelerateHS/accelerate/issues>.
BSD-3-Clause