Model Exploration Using OpenMOLE - a workflow engine for large scale distributed design of experiments and parameter tuning

Abstract : OpenMOLE is a scientific workflow engine with a strong emphasis on workload distribution. Workflows are designed using a high level Domain Specific Language (DSL) built on top of Scala. It exposes natural parallelism constructs to easily delegate the workload resulting from a workflow to a wide range of distributed computing environments. In this work, we briefly expose the strong assets of OpenMOLE and demonstrate its efficiency at exploring the parameter set of an agent simulation model. We perform a multi-objective optimisation on this model using computationally expensive Genetic Algorithms (GA). OpenMOLE hides the complexity of designing such an experiment thanks to its DSL, and transparently distributes the optimisation process. The example shows how an initialisation of the GA with a population of 200,000 individuals can be evaluated in one hour on the European Grid Infrastructure.
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Communication dans un congrès
IEEE High Performance Computing and Simulation conference 2015, Jun 2015, Amsterdam, Netherlands. IEEE High Performance Computing and Simulation conference 2015, 2015, 〈http://hpcs2015.cisedu.info/〉
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https://hal.inria.fr/hal-01163457
Contributeur : Jonathan Passerat-Palmbach <>
Soumis le : vendredi 12 juin 2015 - 22:50:29
Dernière modification le : vendredi 31 août 2018 - 09:13:22
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Distributed under a Creative Commons Paternité 4.0 International License

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  • HAL Id : hal-01163457, version 1
  • ARXIV : 1506.04182

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Romain Reuillon, Mathieu Leclaire, Jonathan Passerat-Palmbach. Model Exploration Using OpenMOLE - a workflow engine for large scale distributed design of experiments and parameter tuning. IEEE High Performance Computing and Simulation conference 2015, Jun 2015, Amsterdam, Netherlands. IEEE High Performance Computing and Simulation conference 2015, 2015, 〈http://hpcs2015.cisedu.info/〉. 〈hal-01163457〉

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