Hello community, here is the log from the commit of package ghc-accelerate for openSUSE:Factory checked in at 2017-08-31 20:46:10 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Comparing /work/SRC/openSUSE:Factory/ghc-accelerate (Old) and /work/SRC/openSUSE:Factory/.ghc-accelerate.new (New) ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Package is "ghc-accelerate" Thu Aug 31 20:46:10 2017 rev:2 rq:513198 version:1.0.0.0 Changes: -------- --- /work/SRC/openSUSE:Factory/ghc-accelerate/ghc-accelerate.changes 2016-09-25 14:30:56.000000000 +0200 +++ /work/SRC/openSUSE:Factory/.ghc-accelerate.new/ghc-accelerate.changes 2017-08-31 20:46:12.337841163 +0200 @@ -1,0 +2,5 @@ +Thu Jul 27 14:07:20 UTC 2017 - psimons@suse.com + +- Update to version 1.0.0.0 revision 1. + +------------------------------------------------------------------- Old: ---- 1.cabal accelerate-0.15.1.0.tar.gz New: ---- accelerate-1.0.0.0.tar.gz accelerate.cabal ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Other differences: ------------------ ++++++ ghc-accelerate.spec ++++++ --- /var/tmp/diff_new_pack.5YgF4u/_old 2017-08-31 20:46:13.809634577 +0200 +++ /var/tmp/diff_new_pack.5YgF4u/_new 2017-08-31 20:46:13.813634016 +0200 @@ -1,7 +1,7 @@ # # spec file for package ghc-accelerate # -# Copyright (c) 2016 SUSE LINUX GmbH, Nuernberg, Germany. +# Copyright (c) 2017 SUSE LINUX GmbH, Nuernberg, Germany. # # All modifications and additions to the file contributed by third parties # remain the property of their copyright owners, unless otherwise agreed @@ -18,27 +18,34 @@ %global pkg_name accelerate Name: ghc-%{pkg_name} -Version: 0.15.1.0 +Version: 1.0.0.0 Release: 0 Summary: An embedded language for accelerated array processing License: BSD-3-Clause -Group: System/Libraries +Group: Development/Languages/Other 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 +Source1: https://hackage.haskell.org/package/%{pkg_name}-%{version}/revision/1.cabal#/%{pkg_name}.cabal BuildRequires: ghc-Cabal-devel -# Begin cabal-rpm deps: -BuildRequires: ghc-array-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 BuildRoot: %{_tmppath}/%{name}-%{version}-build -# End cabal-rpm deps %description 'Data.Array.Accelerate' defines an embedded array language for computations for @@ -58,58 +65,55 @@ 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.CUDA' it may be on-the-fly off-loaded to the GPU. +'Data.Array.Accelerate.LLVM.PTX' it may be on-the-fly off-loaded to the GPU. -[/Available backends/] +[/Additional components/] -Currently, there are two backends: +The following supported add-ons are available as separate packages. +Install them from Hackage with 'cabal install <package>' -1. An interpreter that serves as a reference implementation of the intended -semantics of the language, which is included in this package. +* 'accelerate-llvm-native': Backend supporting parallel execution on multicore +CPUs. -2. A CUDA backend generating code for CUDA-capable NVIDIA GPUs: -<http://hackage.haskell.org/package/accelerate-cuda> +* '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> -Several experimental and/or incomplete backends also exist. If you are -particularly interested in any of these, especially with helping to finish -them, please contact us. +* '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'./ -1. Cilk/ICC and OpenCL: -<https://github.com/AccelerateHS/accelerate-backend-kit> +* 'accelerate-examples': Computational kernels and applications showcasing the +use of Accelerate as well as a regression test suite, supporting function and +performance testing. -2. Another OpenCL backend: <https://github.com/HIPERFIT/accelerate-opencl> +* 'accelerate-io': Fast conversions between Accelerate arrays and other array +formats (including vector and repa). -3. A backend to the Repa array library: -<https://github.com/blambo/accelerate-repa> +* 'accelerate-fft': Discrete Fourier transforms, with FFI bindings to optimised +implementations. -4. An infrastructure for generating LLVM code, with backends targeting -multicore CPUs and NVIDIA GPUs: -<https://github.com/AccelerateHS/accelerate-llvm/> +* 'accelerate-bignum': Fixed-width large integer arithmetic. -[/Additional components/] +* 'colour-accelerate': Colour representations in Accelerate (RGB, sRGB, HSV, +and HSL). -The following support packages are available: - -1. 'accelerate-cuda': A high-performance parallel backend targeting -CUDA-enabled NVIDIA GPUs. Requires the NVIDIA CUDA SDK and, for full -functionality, hardware with compute capability 1.1 or greater. See the table -on Wikipedia for supported GPUs: -<http://en.wikipedia.org/wiki/CUDA#Supported_GPUs> +* 'gloss-accelerate': Generate gloss pictures from Accelerate. -2. 'accelerate-examples': Computational kernels and applications showcasing -/Accelerate/, as well as performance and regression tests. +* 'gloss-raster-accelerate': Parallel rendering of raster images and +animations. -3. 'accelerate-io': Fast conversion between /Accelerate/ arrays and other -formats, including 'vector' and 'repa'. +* 'lens-accelerate': Lens operators for Accelerate types. -4. 'accelerate-fft': Computation of Discrete Fourier Transforms. +* 'linear-accelerate': Linear vector spaces in Accelerate. -Install them from Hackage with 'cabal install PACKAGE' +* 'mwc-random-accelerate': Generate Accelerate arrays filled with high quality +pseudorandom numbers. [/Examples and documentation/] -Haddock documentation is included in the package, and a tutorial is available -on the GitHub wiki: <https://github.com/AccelerateHS/accelerate/wiki> +Haddock documentation is included in the package The 'accelerate-examples' package demonstrates a range of computational kernels and several complete applications, including: @@ -122,11 +126,20 @@ * 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 -* A simple interactive ray tracer +'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/] @@ -137,18 +150,7 @@ <http://groups.google.com/group/accelerate-haskell> * Bug reports and issue tracking: -<https://github.com/AccelerateHS/accelerate/issues> - -[/Hackage note/] - -The module documentation list generated by Hackage is incorrect. The only -exposed modules should be: - -* "Data.Array.Accelerate" - -* "Data.Array.Accelerate.Interpreter" - -* "Data.Array.Accelerate.Data.Complex" . +<https://github.com/AccelerateHS/accelerate/issues> . %package devel Summary: Haskell %{pkg_name} library development files @@ -165,15 +167,12 @@ %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 ++++++ accelerate-0.15.1.0.tar.gz -> accelerate-1.0.0.0.tar.gz ++++++ ++++ 29240 lines of diff (skipped) ++++++ accelerate.cabal ++++++ Name: accelerate Version: 1.0.0.0 x-revision: 1 Cabal-version: >= 1.8 Tested-with: GHC >= 7.8 Build-type: Simple 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_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> .

License: BSD3 License-file: LICENSE Author: Manuel M T Chakravarty, Robert Clifton-Everest, Gabriele Keller, Ben Lever, Trevor L. McDonell, Ryan Newtown, Sean Seefried Maintainer: Trevor L. McDonell <tmcdonell@cse.unsw.edu.au> Homepage: https://github.com/AccelerateHS/accelerate/ Bug-reports: https://github.com/AccelerateHS/accelerate/issues Category: Compilers/Interpreters, Concurrency, Data, Parallelism Stability: Experimental Extra-source-files: changelog.md Flag debug Default: False Description: Enable debug tracing messages. The following options are read from the environment variable @ACCELERATE_FLAGS@, and via the command-line as: . > ./program +ACC ... -ACC . Note that a backend may not implement (or be applicable to) all options. . The following flags control phases of the compiler. The are enabled with @-f\<flag\>@ and can be reveresed with @-fno-\<flag\>@: . * @acc-sharing@: Enable sharing recovery of array expressions (True). . * @exp-sharing@: Enable sharing recovery of scalar expressions (True). . * @fusion@: Enable array fusion (True). . * @simplify@: Enable program simplification phase (True). . * @flush-cache@: Clear any persistent caches on program startup (False). . * @fast-math@: Allow algebraically equivalent transformations which may change floating point results (e.g., reassociate) (True). . The following options control debug message output, and are enabled with @-d\<flag\>@. . * @verbose@: Be extra chatty. . * @dump-phases@: Print timing information about each phase of the compiler. Enable GC stats (@+RTS -t@ or otherwise) for memory usage information. . * @dump-sharing@: Print information related to sharing recovery. . * @dump-simpl-stats@: Print statistics related to fusion & simplification. . * @dump-simpl-iterations@: Print a summary after each simplifier iteration. . * @dump-vectorisation@: Print information related to the vectoriser. . * @dump-dot@: Generate a representation of the program graph in Graphviz DOT format. . * @dump-simpl-dot@: Generate a more compact representation of the program graph in Graphviz DOT format. In particular, scalar expressions are elided. . * @dump-gc@: Print information related to the Accelerate garbage collector. . * @dump-gc-stats@: Print aggregate garbage collection information at the end of program execution. . * @dubug-cc@: Include debug symbols in the generated and compiled kernels. . * @dump-cc@: Print information related to kernel code generation/compilation. Print the generated code if @verbose@. . * @dump-ld@: Print information related to runtime linking. . * @dump-asm@: Print information related to kernel assembly. Print the assembled code if @verbose@. . * @dump-exec@: Print information related to program execution. . * @dump-sched@: Print information related to execution scheduling. . Flag ekg Default: False Description: Enable hooks for monitoring the running application using EKG. Implies @debug@ mode. In order to view the metrics, your application will need to initialise the EKG server like so: . > import Data.Array.Accelerate.Debug > > import System.Metrics > import System.Remote.Monitoring > > main :: IO () > main = do > store <- initAccMetrics > registerGcMetrics store -- optional > > server <- forkServerWith store "localhost" 8000 > > ... . Note that, as with any program utilising EKG, in order to collect Haskell GC statistics collection, you must either run the program with: . > +RTS -T -RTS . or compile it with: . > -with-rtsopts=-T . Flag bounds-checks Description: Enable bounds checking Default: True Flag unsafe-checks Description: Enable bounds checking in unsafe operations Default: False Flag internal-checks Description: Enable internal consistency checks Default: False Library Build-depends: base >= 4.7 && < 4.11 , base-orphans >= 0.3 , containers >= 0.3 , deepseq >= 1.3 , directory >= 1.0 , exceptions >= 0.6 , fclabels >= 2.0 , filepath >= 1.0 , ghc-prim , hashable >= 1.1 , hashtables >= 1.0 , mtl >= 2.0 , pretty >= 1.0 , template-haskell , time >= 1.4 , transformers >= 0.3 , unique , unordered-containers >= 0.2 Exposed-modules: -- The core language and reference implementation Data.Array.Accelerate Data.Array.Accelerate.Interpreter -- Prelude-like Data.Array.Accelerate.Data.Bits Data.Array.Accelerate.Data.Complex Data.Array.Accelerate.Data.Fold Data.Array.Accelerate.Data.Monoid -- For backend development Data.Array.Accelerate.AST Data.Array.Accelerate.Analysis.Match Data.Array.Accelerate.Analysis.Shape Data.Array.Accelerate.Analysis.Stencil Data.Array.Accelerate.Analysis.Type Data.Array.Accelerate.Array.Data Data.Array.Accelerate.Array.Remote Data.Array.Accelerate.Array.Remote.Class Data.Array.Accelerate.Array.Remote.LRU Data.Array.Accelerate.Array.Remote.Table Data.Array.Accelerate.Array.Representation Data.Array.Accelerate.Array.Sugar Data.Array.Accelerate.Array.Unique Data.Array.Accelerate.Async Data.Array.Accelerate.Debug Data.Array.Accelerate.Error Data.Array.Accelerate.FullList Data.Array.Accelerate.Lifetime Data.Array.Accelerate.Pretty Data.Array.Accelerate.Product Data.Array.Accelerate.Smart Data.Array.Accelerate.Trafo Data.Array.Accelerate.Type Other-modules: Data.Atomic Data.Array.Accelerate.Array.Lifted Data.Array.Accelerate.Array.Remote.Nursery Data.Array.Accelerate.Classes Data.Array.Accelerate.Classes.Bounded Data.Array.Accelerate.Classes.Enum Data.Array.Accelerate.Classes.Eq Data.Array.Accelerate.Classes.Floating Data.Array.Accelerate.Classes.Fractional Data.Array.Accelerate.Classes.FromIntegral Data.Array.Accelerate.Classes.Integral Data.Array.Accelerate.Classes.Num Data.Array.Accelerate.Classes.Ord Data.Array.Accelerate.Classes.Real Data.Array.Accelerate.Classes.RealFloat Data.Array.Accelerate.Classes.RealFrac Data.Array.Accelerate.Classes.ToFloating Data.Array.Accelerate.Debug.Flags Data.Array.Accelerate.Debug.Monitoring Data.Array.Accelerate.Debug.Stats Data.Array.Accelerate.Debug.Timed Data.Array.Accelerate.Debug.Trace Data.Array.Accelerate.Language Data.Array.Accelerate.Lift Data.Array.Accelerate.Prelude Data.Array.Accelerate.Pretty.Graphviz Data.Array.Accelerate.Pretty.Graphviz.Monad Data.Array.Accelerate.Pretty.Graphviz.Type Data.Array.Accelerate.Pretty.Print Data.Array.Accelerate.Trafo.Algebra Data.Array.Accelerate.Trafo.Base Data.Array.Accelerate.Trafo.Fusion Data.Array.Accelerate.Trafo.Rewrite Data.Array.Accelerate.Trafo.Sharing Data.Array.Accelerate.Trafo.Shrink Data.Array.Accelerate.Trafo.Simplify Data.Array.Accelerate.Trafo.Substitution -- Data.Array.Accelerate.Trafo.Vectorise c-sources: cbits/atomic.c if flag(debug) || flag(ekg) cpp-options: -DACCELERATE_DEBUG if flag(ekg) cpp-options: -DACCELERATE_MONITORING build-depends: async >= 2.0 , ekg >= 0.1 , ekg-core >= 0.1 , text >= 1.0 , time >= 1.4 if flag(bounds-checks) cpp-options: -DACCELERATE_BOUNDS_CHECKS if flag(unsafe-checks) cpp-options: -DACCELERATE_UNSAFE_CHECKS if flag(internal-checks) cpp-options: -DACCELERATE_INTERNAL_CHECKS if os(windows) cpp-options: -DWIN32 build-depends: Win32 else cpp-options: -DUNIX build-depends: unix ghc-options: -O2 -Wall -funbox-strict-fields -fno-warn-name-shadowing ghc-prof-options: -caf-all -auto-all if impl(ghc >= 7.0) ghc-options: -fspec-constr-count=25 if impl(ghc == 7.*) ghc-options: -fcontext-stack=35 if impl(ghc >= 8.0) ghc-options: -freduction-depth=35 -- Don't add the extensions list here. Instead, place individual LANGUAGE -- pragmas in the files that require a specific extension. This means the -- project loads in GHCi, and avoids extension clashes. -- -- Extensions: source-repository head Type: git Location: git://github.com/AccelerateHS/accelerate.git source-repository this Type: git Tag: 1.0.0.0 Location: git://github.com/AccelerateHS/accelerate.git -- vim: nospell