mot 0.2.11

Maastricht Optimization Toolbox

A library for parallel optimization and sampling using Python and OpenCL.

• Free software: LGPL v3 license

• Full documentation: https://mot.readthedocs.org

• Project home: https://github.com/cbclab/MOT

• Uses the GitLab workflow

• Tags: optimization, parallel, opencl, python

For the diffusion MRI package MDT which builds on top of this, please see https://github.com/cbclab/MDT.

Quick installation guide

The basic requirements for MOT are:

• Python 3.x (recommended) or Python 2.7

• OpenCL 1.2 (or higher) supper in GPU driver or CPU runtime

Linux (Ubuntu)

• sudo apt-get install python3 python3-pip python3-pyopencl

• sudo pip3 install MOT

Windows

• Install Python Anaconda 3.* 64bit from https://www.continuum.io/downloads

• Install PyOpenCL:

  • Using a binary package from http://www.lfd.uci.edu/~gohlke/pythonlibs/#pyopencl (preferred method)

  • Compile PyOpenCL with pip install pyopencl, this requires:

    • Visual Studio 2015 (Community edition or higher) with the Python and Common Tools for Visual C++ options enabled

    • OpenCL development kit (NVidia CUDA or Intel OpenCL SDK or the AMD APP SDK)

• Open a Anaconda shell and type: pip install MOT

For more information and for more elaborate installation instructions, please see: https://mot.readthedocs.org