Maastricht Optimization Toolbox
Project description
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
Quick installation guide:
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, this requires Visual Studio 2015 (Community edition or higher) with the Python and Common Tools for Visual C++ options enabled.
Open a Anaconda shell and type: pip install MOT
For more information and for more elaborate installation instructions, please see: https://mot.readthedocs.org
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