Scaling FMI-CS Based Multi-Simulation Beyond Thousand FMUs on Infiniband Cluster

Stéphane Vialle 1, 2, 3 Jean-Philippe Tavella 4 Cherifa Dad 1, 2, 3 Remi Corniglion 4 Mathieu Caujolle 4 Vincent Reinbold 5
1 UMI2958 - Georgia Tech - CNRS [Metz]
2 CentraleSupélec
3 Université Paris-Saclay
4 EDF - EDF
5 KU Leuven - Catholic University of Leuven
Abstract : In recent years, co-simulation has become an increasingly industrial tool to simulate Cyber Physical Systems including multi-physics and control, like smart electric grids, since it allows to involve different modeling tools within the same temporal simulation. The challenge now is to integrate in a single calculation scheme very numerous and intensely interconnected models, and to do it without any loss in model accuracy. This will avoid neglecting fine phenomena or moving away from the basic principle of equation-based modeling. Offering both a large number of computing cores and a large amount of distributed memory, multi-core PC clusters can address this key issue in order to achieve huge multi-simulations in acceptable time. This paper introduces all our efforts to parallelize and distribute our co-simulation environment based on the FMI for Co-Simulation standard (FMI-CS). At the end of 2016 we succeeded to scale beyond 1000 FMUs and 1000 computing cores on different PC-clusters, including the most recent HPC Infiniband-cluster available at EDF.
Keywords : Multi-Simulation FMI Scaling Multi-core PC Cluster
Type de document :
Communication dans un congrès
Modelica Association. 12th International Modelica Conference 2017, May 2017, Prague, Czech Republic. https://modelica.org/events/modelica2017/proceedings, 2017, 〈https://modelica.org/events/modelica2017〉
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Stéphane Vialle, Jean-Philippe Tavella, Cherifa Dad, Remi Corniglion, Mathieu Caujolle, et al.. Scaling FMI-CS Based Multi-Simulation Beyond Thousand FMUs on Infiniband Cluster. Modelica Association. 12th International Modelica Conference 2017, May 2017, Prague, Czech Republic. https://modelica.org/events/modelica2017/proceedings, 2017, 〈https://modelica.org/events/modelica2017〉. 〈hal-01527682〉

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