accelerate-0.7.1.0: accelerate.cabal
Name: accelerate
Version: 0.7.1.0
Cabal-version: >= 1.6
Tested-with: GHC >= 6.12.1
Build-type: Simple
Synopsis: An embedded language for accelerated array processing
Description: 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 still misses some features of
the full language; in particular, the array operations
'replicate', 'slice', and 'foldSeg' are not yet supported.
.
Known bugs in this version: http://trac.haskell.org/accelerate/query?status=new&status=assigned&status=reopened&status=closed&version=0.7.1.0&order=priority
.
* New in 0.7.1.0: the CUDA backend and a number of scalar functions
License: BSD3
License-file: LICENSE
Author: Manuel M T Chakravarty,
Gabriele Keller,
Sean Lee,
Trevor L. McDonell
Maintainer: Manuel M T Chakravarty <chak@cse.unsw.edu.au>
Homepage: http://www.cse.unsw.edu.au/~chak/project/accelerate/
Bug-reports: http://trac.haskell.org/accelerate
Category: Compilers/Interpreters, Concurrency, Data
Stability: Experimental
-- Should be in the Library stanza, and only enabled for the CUDA backend,
-- but Cabal does not support that.
Data-dir: cubits
Data-files: accelerate_cuda_extras.h
accelerate_cuda_utils.h
backpermute.inl
fold.inl
map.inl
permute.inl
zipWith.inl
thrust/scan_safe.inl
Extra-source-files: INSTALL
examples/simple/DotP.hs
examples/simple/Filter.hs
examples/simple/Main.hs
examples/simple/Makefile
examples/simple/SAXPY.hs
examples/simple/SMVM.hs
examples/simple/Square.hs
examples/simple/Sum.hs
examples/simple/Time.hs
examples/rasterize/RasterizeAcc.hs
examples/rasterize/rasterize-test1.txt
examples/rasterize/rasterize-test2.txt
examples/rasterize/rasterize-test3.txt
examples/rasterize/rasterize-test4.txt
examples/rasterize/rasterize.hs
Flag llvm
Description: enable the LLVM backend (sequential)
Default: False
Flag cuda
Description: enable the CUDA parallel backend for NVIDIA GPUs
Default: True
Library
Build-depends: array,
base == 4.*,
ghc-prim,
haskell98,
pretty
If flag(llvm)
Build-depends: llvm >= 0.6.8
if flag(cuda)
Build-depends: binary,
bytestring,
containers,
cuda >= 0.2 && < 0.3,
directory,
fclabels,
filepath,
language-c >= 0.3 && < 0.4,
monads-fd,
transformers >= 0.2 && < 0.3,
unix
Exposed-modules: Data.Array.Accelerate
Data.Array.Accelerate.Interpreter
-- If flag(llvm)
-- Exposed-modules: Data.Array.Accelerate.LLVM
If flag(cuda)
Exposed-modules: Data.Array.Accelerate.CUDA
Other-modules: Data.Array.Accelerate.Array.Data
Data.Array.Accelerate.Array.Delayed
Data.Array.Accelerate.Array.Representation
Data.Array.Accelerate.Array.Sugar
Data.Array.Accelerate.Analysis.Type
Data.Array.Accelerate.AST
Data.Array.Accelerate.Debug
Data.Array.Accelerate.Language
Data.Array.Accelerate.Pretty
Data.Array.Accelerate.Smart
Data.Array.Accelerate.Tuple
Data.Array.Accelerate.Type
Paths_accelerate
-- If flag(llvm)
-- Other-modules: Data.Array.Accelerate.LLVM.CodeGen
If flag(cuda)
CPP-options: -DACCELERATE_CUDA_BACKEND
Other-modules: Data.Array.Accelerate.CUDA.Analysis.Hash
Data.Array.Accelerate.CUDA.Analysis.Launch
Data.Array.Accelerate.CUDA.Array.Data
Data.Array.Accelerate.CUDA.Array.Device
Data.Array.Accelerate.CUDA.CodeGen.Data
Data.Array.Accelerate.CUDA.CodeGen.Skeleton
Data.Array.Accelerate.CUDA.CodeGen.Tuple
Data.Array.Accelerate.CUDA.CodeGen.Util
Data.Array.Accelerate.CUDA.CodeGen
Data.Array.Accelerate.CUDA.Compile
Data.Array.Accelerate.CUDA.Execute
Data.Array.Accelerate.CUDA.State
Ghc-options: -O2 -Wall -fno-warn-orphans -fno-warn-name-shadowing
Extensions: FlexibleContexts, FlexibleInstances,
ExistentialQuantification, GADTs, TypeFamilies,
ScopedTypeVariables, DeriveDataTypeable,
BangPatterns, PatternGuards, TypeOperators, RankNTypes
source-repository head
type: darcs
location: http://code.haskell.org/accelerate