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scikits.cuda

version 0.5.0b2

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) provides Python interfaces to many of the functions in the CUDA, CUDART, CUBLAS, CUFFT, and CUSOLVER libraries distributed as part of NVIDIA's CUDA Programming Toolkit, as well as interfaces to select functions in the free and standard versions of the CULA Dense Toolkit. 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 to provide high-level functions comparable to those in NumPy.

0.5.0b1 Latest Version Downloads Support the project

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.

License

This software is licensed under the BSD License. See the included LICENSE 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.