accelerate (hackage): 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.  As a simple example, consider the computation of a dot product of two vectors of floating point numbers:  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.  See the Data.Array.Accelerate module for further information.  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-examples: Computational kernels and applications demonstrating the use of Accelerate.  accelerate-io*: Fast conversions between Accelerate arrays and other array and data formats.  accelerate-fft: Discrete Fourier transforms, with FFI bindings to optimised implementations.  accelerate-blas: Numeric linear algebra, with FFI bindings to optimised implementations.  accelerate-bignum: Fixed-width large integer arithmetic.  containers-accelerate: Container types for use with Accelerate.  hashable-accelerate: Class for types which can be converted to a hash value.  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.  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  Interactive Mandelbrot and Julia set generators  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 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.  Gitter chat: https://gitter.im/AccelerateHS/Lobby  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
Keywords: accelerate|bsd3|compilers-interpreters|concurrency|data|library|parallelism|cuda|gpu|gpu-computing|hacktoberfest|haskell|llvm|parallel-computing