Metadata revisions for accelerate-cuda-0.17.0.0

Package maintainers and Hackage trustees are allowed to edit certain bits of package metadata after a release, without uploading a new tarball. Note that the tarball itself is never changed, just the metadata that is stored separately. For more information about metadata revisions, please refer to the Hackage Metadata Revisions FAQ.

No. Time User SHA256
-r3 (accelerate-cuda-0.17.0.0-r3) 2017-03-31T08:17:05Z TrevorMcDonell 7593f53c4d1e4851e226fef9f51b60b9addfc1cf7ed5f0f67eb2d3728e7f8013
  • Changed description from

    __This backend has been deprecated in favour of__
    __<http://hackage.haskell.org/package/accelerate-llvm-ptx accelerate-llvm-ptx>.__
    
    This library implements a backend for the /Accelerate/ language instrumented
    for parallel execution on CUDA-capable NVIDIA GPUs. For further information,
    refer to the main /Accelerate/ package:
    <http://hackage.haskell.org/package/accelerate>
    
    To use this backend you will need:
    
    1. A CUDA-enabled NVIDIA GPU with, for full functionality, compute
    capability 1.3 or greater. See the table on Wikipedia for supported GPUs:
    <http://en.wikipedia.org/wiki/CUDA#Supported_GPUs>
    
    2. The CUDA SDK, available from the NVIDIA Developer Zone:
    <http://developer.nvidia.com/cuda-downloads>
    
    See the Haddock documentation for additional information related to using this
    backend.
    
    Compile modules that use the CUDA backend with the @-threaded@ flag.
    
    to
    __This backend has been deprecated in favour of <http://hackage.haskell.org/package/accelerate-llvm-ptx accelerate-llvm-ptx>.__
    
    This library implements a backend for the /Accelerate/ language instrumented
    for parallel execution on CUDA-capable NVIDIA GPUs. For further information,
    refer to the main /Accelerate/ package:
    <http://hackage.haskell.org/package/accelerate>
    
    To use this backend you will need:
    
    1. A CUDA-enabled NVIDIA GPU with, for full functionality, compute
    capability 1.3 or greater. See the table on Wikipedia for supported GPUs:
    <http://en.wikipedia.org/wiki/CUDA#Supported_GPUs>
    
    2. The CUDA SDK, available from the NVIDIA Developer Zone:
    <http://developer.nvidia.com/cuda-downloads>
    
    See the Haddock documentation for additional information related to using this
    backend.
    
    Compile modules that use the CUDA backend with the @-threaded@ flag.
    

-r2 (accelerate-cuda-0.17.0.0-r2) 2017-03-31T08:16:39Z TrevorMcDonell 753b30f61ab28157078c5876bfe1cbd05998e6ca07a1b2af1e0f32c07d1769e7
  • Changed description from

    __This backend has been deprecated in favour of <http://hackage.haskell.org/package/accelerate-llvm-ptx accelerate-llvm-ptx>__
    
    This library implements a backend for the /Accelerate/ language instrumented
    for parallel execution on CUDA-capable NVIDIA GPUs. For further information,
    refer to the main /Accelerate/ package:
    <http://hackage.haskell.org/package/accelerate>
    
    To use this backend you will need:
    
    1. A CUDA-enabled NVIDIA GPU with, for full functionality, compute
    capability 1.3 or greater. See the table on Wikipedia for supported GPUs:
    <http://en.wikipedia.org/wiki/CUDA#Supported_GPUs>
    
    2. The CUDA SDK, available from the NVIDIA Developer Zone:
    <http://developer.nvidia.com/cuda-downloads>
    
    See the Haddock documentation for additional information related to using this
    backend.
    
    Compile modules that use the CUDA backend with the @-threaded@ flag.
    
    to
    __This backend has been deprecated in favour of__
    __<http://hackage.haskell.org/package/accelerate-llvm-ptx accelerate-llvm-ptx>.__
    
    This library implements a backend for the /Accelerate/ language instrumented
    for parallel execution on CUDA-capable NVIDIA GPUs. For further information,
    refer to the main /Accelerate/ package:
    <http://hackage.haskell.org/package/accelerate>
    
    To use this backend you will need:
    
    1. A CUDA-enabled NVIDIA GPU with, for full functionality, compute
    capability 1.3 or greater. See the table on Wikipedia for supported GPUs:
    <http://en.wikipedia.org/wiki/CUDA#Supported_GPUs>
    
    2. The CUDA SDK, available from the NVIDIA Developer Zone:
    <http://developer.nvidia.com/cuda-downloads>
    
    See the Haddock documentation for additional information related to using this
    backend.
    
    Compile modules that use the CUDA backend with the @-threaded@ flag.
    

-r1 (accelerate-cuda-0.17.0.0-r1) 2017-03-31T08:15:52Z TrevorMcDonell d11cf4d5d05a99e827460766c614559b165f8fd00768e9a78d5f6a52fb4db64a
  • Changed description from

    __This backend has been deprecated in favour of <http://hackage.haskell.org/package/accelerate-llvm-ptx accelerate-llvm-ptx>.__
    
    This library implements a backend for the /Accelerate/ language instrumented
    for parallel execution on CUDA-capable NVIDIA GPUs. For further information,
    refer to the main /Accelerate/ package:
    <http://hackage.haskell.org/package/accelerate>
    
    To use this backend you will need:
    
    1. A CUDA-enabled NVIDIA GPU with, for full functionality, compute
    capability 1.3 or greater. See the table on Wikipedia for supported GPUs:
    <http://en.wikipedia.org/wiki/CUDA#Supported_GPUs>
    
    2. The CUDA SDK, available from the NVIDIA Developer Zone:
    <http://developer.nvidia.com/cuda-downloads>
    
    See the Haddock documentation for additional information related to using this
    backend.
    
    Compile modules that use the CUDA backend with the @-threaded@ flag.
    
    to
    __This backend has been deprecated in favour of <http://hackage.haskell.org/package/accelerate-llvm-ptx accelerate-llvm-ptx>__
    
    This library implements a backend for the /Accelerate/ language instrumented
    for parallel execution on CUDA-capable NVIDIA GPUs. For further information,
    refer to the main /Accelerate/ package:
    <http://hackage.haskell.org/package/accelerate>
    
    To use this backend you will need:
    
    1. A CUDA-enabled NVIDIA GPU with, for full functionality, compute
    capability 1.3 or greater. See the table on Wikipedia for supported GPUs:
    <http://en.wikipedia.org/wiki/CUDA#Supported_GPUs>
    
    2. The CUDA SDK, available from the NVIDIA Developer Zone:
    <http://developer.nvidia.com/cuda-downloads>
    
    See the Haddock documentation for additional information related to using this
    backend.
    
    Compile modules that use the CUDA backend with the @-threaded@ flag.
    

-r0 (accelerate-cuda-0.17.0.0-r0) 2017-03-31T08:14:55Z TrevorMcDonell 758d7c4d4018969d672dfb122216ec6816bb30a376d8f19a401ad0c08b2419c2