How to cite OpenMOLE

Romain Reuillon, Mathieu Leclaire, Sebastien Rey-Coyrehourcq, OpenMOLE, a workflow engine specifically tailored for the distributed exploration of simulation models published in Future Generation Computer Systems, 2013BibTex

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Training sessions to grid computing with OpenMOLE are organized regularly at ISC-PIF by our JEDI trainings program.

Registration is free for scholars affiliated to laboratories of ISC-PIF partners institutions.

See the program

OpenMOLE (Open MOdeL Experiment) makes it simple to execute your programs on distributed computing environments. If you want to execute the same program for many different inputs (parameters or datasets), OpenMOLE is the tool that you need. The typical usage of OpenMOLE are high performance model calibration, model exploration, machine learning, optimization, data processing.

  • Works with your programs – Java, Binary exe, NetLogo, R, SciLab, Python, C++…
  • Distributed computing – Works on your multi-core machines, clusters, grids, desktop grid.
  • Expressive – Graphical and scripted workflow system to describe your naturally parallel processes.
  • Scalable – Handles millions of tasks, years of computation, and GBs of data.
  • Mature – Developed since 2008 and widely used.
  • Open – AGPLv3 free software license.