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Install

Install this package:

emerge -a dev-haskell/cuda

If the package is masked, you can unmask it using the autounmask tool or standard emerge options:

autounmask dev-haskell/cuda

Or alternatively:

emerge --autounmask-write -a dev-haskell/cuda

Package Information

Description:

The CUDA library provides a direct, general purpose C-like SPMD programming model for NVIDIA graphics cards (G8x series onwards). This is a collection of bindings to allow you to call and control, although not write, such functions from Haskell-land. You will need to install the CUDA driver and developer toolkit. <http://developer.nvidia.com/cuda-downloads> The configure script will look for your CUDA installation in the standard places, and if the nvcc compiler is found in your PATH, relative to that. This release is for version 4.0 of the CUDA toolkit.

Homepage:

https://github.com/tmcdonell/cuda

License:

BSD

Versions

Metadata

Description

• The CUDA library provides a direct, general purpose C-like SPMD programming model for NVIDIA graphics cards (G8x series onwards). This is a collection of bindings to allow you to call and control, although not write, such functions from Haskell-land. You will need to install the CUDA driver and developer toolkit. <http://developer.nvidia.com/cuda-downloads> The configure script will look for your CUDA installation in the standard places, and if the nvcc compiler is found in your PATH, relative to that. This release is for version 4.0 of the CUDA toolkit.

Maintainers

• Gentoo Haskell (haskell@gentoo.org) - Type: project

<pkgmetadata>
	<maintainer type="project">
		<email>haskell@gentoo.org</email>
		<name>Gentoo Haskell</name>
	</maintainer>
	<longdescription>
		The CUDA library provides a direct, general purpose C-like SPMD programming
		model for NVIDIA graphics cards (G8x series onwards). This is a collection
		of bindings to allow you to call and control, although not write, such
		functions from Haskell-land. You will need to install the CUDA driver and
		developer toolkit.
		
		&lt;http://developer.nvidia.com/cuda-downloads&gt;
		
		The configure script will look for your CUDA installation in the standard
		places, and if the nvcc compiler is found in your PATH, relative to that.
		
		This release is for version 4.0 of the CUDA toolkit.
	</longdescription>
</pkgmetadata>

Lint Warnings

• [Error] Missing md5-cache for ebuild cuda-0.10.1.0

Manifest