Article | Proceedings of the 12th International Modelica Conference, Prague, Czech Republic, May 15-17, 2017 | Scaling FMI-CS Based Multi-Simulation Beyond Thousand FMUs on Infiniband Cluster Linköping University Electronic Press Conference Proceedings
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Title:
Scaling FMI-CS Based Multi-Simulation Beyond Thousand FMUs on Infiniband Cluster
Author:
Stephane Vialle: UMI 2958 - GT-CNRS, CentraleSupelec, Université Paris-Saclay, 57070 Metz, France / LRI - UMR 8623, 91190 Gif-sur-Yvette, France Jean-Philippe Tavella: EDF Lab Saclay, 91120 Palaiseau, France Cherifa Dad: UMI 2958 - GT-CNRS, CentraleSupelec, Université Paris-Saclay, 57070 Metz, France Remi Corniglion: EDF Lab Saclay, 91120 Palaiseau, France Mathieu Caujolle: EDF Lab Saclay, 91120 Palaiseau, France Vincent Reinbold: University of Leuven, Department of Civil Engineering, 3001 Leuven, Belgium
DOI:
10.3384/ecp17132673
Download:
Full text (pdf)
Year:
2017
Conference:
Proceedings of the 12th International Modelica Conference, Prague, Czech Republic, May 15-17, 2017
Issue:
132
Article no.:
074
Pages:
673-682
No. of pages:
10
Publication type:
Abstract and Fulltext
Published:
2017-07-04
ISBN:
978-91-7685-575-1
Series:
Linköping Electronic Conference Proceedings
ISSN (print):
1650-3686
ISSN (online):
1650-3740
Publisher:
Linköping University Electronic Press, Linköpings universitet


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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 inter-connected 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

Proceedings of the 12th International Modelica Conference, Prague, Czech Republic, May 15-17, 2017

Author:
Stephane Vialle, Jean-Philippe Tavella, Cherifa Dad, Remi Corniglion, Mathieu Caujolle, Vincent Reinbold
Title:
Scaling FMI-CS Based Multi-Simulation Beyond Thousand FMUs on Infiniband Cluster
DOI:
http://dx.doi.org/10.3384/ecp17132673
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Proceedings of the 12th International Modelica Conference, Prague, Czech Republic, May 15-17, 2017

Author:
Stephane Vialle, Jean-Philippe Tavella, Cherifa Dad, Remi Corniglion, Mathieu Caujolle, Vincent Reinbold
Title:
Scaling FMI-CS Based Multi-Simulation Beyond Thousand FMUs on Infiniband Cluster
DOI:
https://doi.org10.3384/ecp17132673
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