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#!/usr/bin/env python
"""
scikit-cuda
===========
scikit-cuda provides Python interfaces to many of the functions
in the CUDA device/runtime, CUBLAS, CUFFT, and CUSOLVER
libraries distributed as part of NVIDIA's CUDA Programming Toolkit
[1]_, as well as interfaces to select functions in the free and standard
versions of the CULA Dense Toolkit [2]_. Both low-level wrapper functions
similar to their C counterparts and high-level functions comparable to those in
NumPy and Scipy [3]_ are provided
High-level modules
------------------
- autoinit Automatic GPU library initialization module.
- fft Fast Fourier Transform functions.
- integrate Numerical integration functions.
- linalg Linear algebra functions.
- rlinalg Randomized linear algebra functions.
- misc Miscellaneous support functions.
- special Special math functions.
Low-level modules
-----------------
- cublas Function wrappers for the CUBLAS library.
- cufft Function wrappers for the CUFFT library.
- cuda Function wrappers for the CUDA device/runtime libraries.
- cula Function wrappers for the CULA library.
- cusolver Function wrappers for the CUSOLVER library.
- pcula Function wrappers for the multi-GPU CULA library.
.. [1] http://www.nvidia.com/cuda
.. [2] http://www.culatools.com/
.. [5] http://www.scipy.org/
"""
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