@hackage accelerate0.9.0.0
An embedded language for accelerated array processing
Categories
License
BSD-3-Clause
Maintainer
Manuel M T Chakravarty <chak@cse.unsw.edu.au>
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Tested Compilers
Dependencies (19)
- array >=0.3 && <0.5
- base >=4 && <5
- binary >=0.5 && <0.6
- blaze-html >=0.3 && <0.4
- bytestring >=0.9 && <0.10
- containers >=0.3 && <0.5 Show all…
Dependents (47)
@hackage/accelerate-io-repa, @hackage/algebraic, @hackage/accelerate-bignum, @hackage/containers-accelerate, @hackage/accelerate-fourier, @hackage/accelerate-llvm, Show all…
Package Flags
llvm
(off by default)
Enable the LLVM backend (sequential)
cuda
(on by default)
Enable the CUDA parallel backend for NVIDIA GPUs
more-pp
(off by default)
Enable HTML and Graphviz pretty printing.
pcache
(off by default)
Enable the persistent caching of the compiled CUDA modules (experimental)
test-suite
(off by default)
Export extra test modules
bounds-checks
(on by default)
Enable bounds checking
unsafe-checks
(off by default)
Enable bounds checking in unsafe operations
internal-checks
(off by default)
Enable internal consistency checks
io
(off by default)
Provide access to the block copy I/O functionality
inplace(off by default)
This library defines an embedded language for regular, multi-dimensional array computations with multiple backends to facilitate high-performance implementations. Currently, there are two backends: (1) an interpreter that serves as a reference implementation of the intended semantics of the language and (2) a CUDA backend generating code for CUDA-capable NVIDIA GPUs.
To use the CUDA backend, you need to have CUDA version 3.x
installed. The CUDA backend currently doesn't support Char
and Bool arrays.
Known bugs: https://github.com/mchakravarty/accelerate/issues
New in 0.9.0.0: Streaming, precompilation, Repa-style indices, stencils, more scans, rank-polymorphic fold, generate, block I/O & many bug fixes
New in 0.8.1.0: bug fixes and some performance tweaks
New in 0.8.0.0:
replicate,sliceandfoldSegsupported in the CUDA backend; frontend and interpreter support forstencil; bug fixesNew in 0.7.1.0: the CUDA backend and a number of scalar functions
For documentation, see the homepage and https://github.com/mchakravarty/accelerate/wiki.