Continuum Analytics: Documentation

# Anaconda Accelerate

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 CUDA libraries:
    - cuBLAS
    - cuFFT
    - cuSPARSE
    - cuRAND
    - CUDA 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 (MKL).

- Accelerated variants of Numpy’s built-in UFuncs.

- Increased-speed Fast Fourier Transformations (FFT) in NumPy.

## Installation

This section contains information related to:

- Requirements
- Installing Accelerate
- Updating Accelerate
- Updating NumbaPro
- Managing your Accelerate license

## User guide

This section contains information related to:

- CUDA libraries
- Math Kernel Library
- Profiling
- Environment variables

## License agreement

- Anaconda Accelerate End User License Agreement

## Release notes

- Release notes
- Previous versions

## Previous versions

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

- Accelerate 2.2
- Accelerate 2.1
- Accelerate 2.0