========= Pyculib ========= :emphasis:`High Performance Computing` Pyculib is a package that provides access to several numerical libraries that are optimized for performance on NVidia GPUs. Pyculib was originally part of Accelerate, developed by Continuum Analytics Inc. The current version, 1.0.1, was released on July 27, 2017. Features ======== * Bindings to the following :doc:`cuda-libs`: * :doc:`cublas` * :doc:`cufft` * :doc:`cusparse` * :doc:`curand` * :doc:`sorting` algorithms from the CUB and Modern GPU libraries Installation ============ This section contains information related to: .. toctree:: :maxdepth: 1 install User guide ========== This section contains information related to: .. toctree:: :maxdepth: 1 cuda-libs env-variables Release notes ============= .. toctree:: :maxdepth: 1 release-notes