Anaconda Accelerate

High Performance Computing

Note

This product is discontinued. This archived copy of the product documentation is provided for those customers who are still using it. SEE https://www.anaconda.com/blog/developer-blog/open-sourcing-anaconda-accelerate/

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.

Anyone can now use the functionality from Accelerate without purchasing a license!

On July 27, 2017, Accelerate was split into the Intel Distribution for Python and the open source Numba project’s sub-projects pyculib, pyculib_sorting and data_profiler. Numba and all its sub-projects are available under a BSD license.

More information is available in the post Open Sourcing Anaconda Accelerate.

Features

  • Bindings to the following CUDA 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.

User guide

This section contains information related to:

Previous versions

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