accelerate
Version 1.1.0.0 revision 0 uploaded by TrevorMcDonell.
Package meta
- Synopsis
- An embedded language for accelerated array processing
- Description
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_GPUsaccelerate-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
- Author
- Manuel M T Chakravarty, Robert Clifton-Everest, Gabriele Keller, Ben Lever, Trevor L. McDonell, Ryan Newtown, Sean Seefried
- Bug reports
- https://github.com/AccelerateHS/accelerate/issues
- Category
- Compilers/Interpreters, Concurrency, Data, Parallelism
- Copyright
- n/a
- Homepage
- https://github.com/AccelerateHS/accelerate/
- Maintainer
- Trevor L. McDonell <tmcdonell@cse.unsw.edu.au>
- Package URL
- n/a
- Stability
- Experimental