Pyculib - python bindings for NVIDIA CUDA libraries
Pyculib provides Python bindings to the following CUDA libraries:
These bindings are direct ports of those available in Anaconda Accelerate.
Documentation is located here
The easiest way to install Pyculib and get updates is by using the Anaconda Distribution
#> conda install pyculib
To compile from source, it is recommended to create a conda environment containing the following:
Once a suitable environment is activated, installation achieved simply by running:
#> python setup.py install
and the installation can be tested with:
Documentation is located here.
It is also possible to build a local copy of the documentation from source. This requires GNU Make and sphinx (available via conda).
Documentation is stored in the doc folder, and should be built with:
#> make SPHINXOPTS=-Wn clean html
This ensures that the documentation renders without errors. If errors occur, they can all be seen at once by building with:
#> make SPHINXOPTS=-n clean html
However, these errors should all be fixed so that building with -Wn is possible prior to merging any documentation changes or updates.
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