accelerate-cuda: Accelerate backend for NVIDIA GPUs

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 1.2 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.

Modules

[Last Documentation]

Flags

Automatic Flags

Name	Description	Default
debug	Enable tracing message flags. These are read from the command-line arguments, which is convenient but may cause problems interacting with the user program, so is not enabled by default. The available options: -ddump-cc: print the generated code, kernel table management information, nvcc compiler warnings, and thread & resource statistics -ddebug-cc: compile code with debugging symbols, suitable for 'cuda-gdb' -ddump-exec: print each kernel name as it is invoked -ddump-gc: print memory management information -dverbose: other, uncategorised messages -fflush-cache: delete the persistent kernel cache	Disabled
bounds-checks	Enable bounds checking	Enabled
unsafe-checks	Enable bounds checking in unsafe operations	Disabled
internal-checks	Enable internal consistency checks	Disabled

Use -f <flag> to enable a flag, or -f -<flag> to disable that flag. More info

Downloads

• accelerate-cuda-0.14.0.0.tar.gz [browse] (Cabal source package)
• Package description (as included in the package)

Maintainer's Corner

Package maintainers

• ManuelChakravarty, TrevorMcDonell

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