===================
Anaconda Accelerate
===================

:emphasis:`High Performance Computing`

Anaconda Accelerate is a package that provides the Anaconda® platform access to several numerical libraries that are optimized for performance on Intel CPUs and NVidia GPUs.

The current version, 2.3.1, was released on January 30, 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
* Speed-boosted linear algebra operations in NumPy, SciPy, scikit-learn and NumExpr libraries using Intel's Math Kernel Library (:doc:`MKL <mkl-overview>`).
* Accelerated variants of Numpy's built-in :doc:`UFuncs <mkl-ufuncs>`.
* Increased-speed Fast Fourier Transformations (:doc:`FFT <mkl-fft>`) in NumPy.

Installation
============

This section contains information related to:

.. toctree::
    :maxdepth: 1

    install
    

User guide
==========

This section contains information related to:

.. toctree::
    :maxdepth: 1

    cuda-libs
    mkl-overview
    profiling
    env-variables

License agreement
=================

.. toctree::
   :maxdepth: 1

   eula

Release notes
=============

.. toctree::
   :maxdepth: 1

   release-notes

Previous versions
=================

The following documentation is provided for users who have not yet upgraded to the current version:

.. toctree::
   :maxdepth: 1

   Accelerate 2.2 <2.2/index>
   Accelerate 2.1 <2.1/index>
   Accelerate 2.0 <2.0/index>
