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scikits.cuda

version 0.5.0a1

Python interface to GPU-powered libraries

Download: http://pypi.python.org/pypi/scikits.cuda
Homepage: https://github.com/lebedov/scikits.cuda/
PyPI: http://pypi.python.org/pypi/scikits.cuda
People: Lev Givon

Description

Package Description

The CUDA SciKit (toolkit for SciPy [1]) provides Python interfaces to a subset of the functions in the CUDA, CUDART, CUBLAS, and CUFFT libraries distributed as part of NVIDIA's CUDA Programming Toolkit [2], as well as interfaces to select functions in the free and standard versions of the CULA Dense Toolkit [3]. In contrast to most existing Python wrappers for these libraries (many of which only provide a low-level interface to the actual library functions), this package uses PyCUDA [4] to provide high-level functions comparable to those in the NumPy package [5].

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Documentation

Package documentation is available at http://scikit-cuda.readthedocs.org/.

Development

The latest source code can be obtained from http://github.com/lebedov/scikits.cuda.

Authors & Acknowledgments

See the included AUTHORS file for more information.

Installation

PyPI

You can download the latest distribution from PyPI here: http://pypi.python.org/pypi/scikits.cuda

Easy Install

Install the Easy Install tools. Afterwards you can install scikits.cuda from the terminal by executing:

sudo easy_install scikits.cuda

If you prefer to do a local installation, specify an installation prefix:

easy_install --prefix=${HOME} scikits.cuda
and ensure that your PYTHONPATH is up to date, e.g.:
export PYTHONPATH=$PYTHONPATH:${HOME}/lib/python2.5/site-packages

This package was discovered in PyPI.