File ghc-accelerate.spec of Package ghc-accelerate

#
# spec file for package ghc-accelerate
#
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%global pkg_name accelerate
Name:           ghc-%{pkg_name}
Version:        1.0.0.0
Release:        0
Summary:        An embedded language for accelerated array processing
License:        BSD-3-Clause
Group:          Development/Libraries/Haskell
URL:            https://hackage.haskell.org/package/%{pkg_name}
Source0:        https://hackage.haskell.org/package/%{pkg_name}-%{version}/%{pkg_name}-%{version}.tar.gz
Source1:        https://hackage.haskell.org/package/%{pkg_name}-%{version}/revision/1.cabal#/%{pkg_name}.cabal
BuildRequires:  ghc-Cabal-devel
BuildRequires:  ghc-base-orphans-devel
BuildRequires:  ghc-containers-devel
BuildRequires:  ghc-deepseq-devel
BuildRequires:  ghc-directory-devel
BuildRequires:  ghc-exceptions-devel
BuildRequires:  ghc-fclabels-devel
BuildRequires:  ghc-filepath-devel
BuildRequires:  ghc-hashable-devel
BuildRequires:  ghc-hashtables-devel
BuildRequires:  ghc-mtl-devel
BuildRequires:  ghc-pretty-devel
BuildRequires:  ghc-rpm-macros
BuildRequires:  ghc-template-haskell-devel
BuildRequires:  ghc-time-devel
BuildRequires:  ghc-transformers-devel
BuildRequires:  ghc-unique-devel
BuildRequires:  ghc-unix-devel
BuildRequires:  ghc-unordered-containers-devel

%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_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> .

%package devel
Summary:        Haskell %{pkg_name} library development files
Group:          Development/Libraries/Haskell
Requires:       %{name} = %{version}-%{release}
Requires:       ghc-compiler = %{ghc_version}
Requires(post): ghc-compiler = %{ghc_version}
Requires(postun): ghc-compiler = %{ghc_version}

%description devel
This package provides the Haskell %{pkg_name} library development files.

%prep
%setup -q -n %{pkg_name}-%{version}
cp -p %{SOURCE1} %{pkg_name}.cabal

%build
%ghc_lib_build

%install
%ghc_lib_install

%post devel
%ghc_pkg_recache

%postun devel
%ghc_pkg_recache

%files -f %{name}.files
%doc LICENSE

%files devel -f %{name}-devel.files
%doc changelog.md

%changelog
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