Scaling FMI-CS Based Multi-Simulation Beyond Thousand FMUs on Infiniband Cluster
| Autor: | Stéphane Vialle, Vincent Reinbold, Cherifa Dad, Remi Corniglion, Jean-Philippe Tavella, Mathieu Caujolle |
|---|---|
| Přispěvatelé: | Georgia Tech Lorraine [Metz], Université de Franche-Comté (UFC), Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC)-Ecole Supérieure d'Electricité - SUPELEC (FRANCE)-Georgia Institute of Technology [Atlanta]-CentraleSupélec-Ecole Nationale Supérieure des Arts et Metiers Metz-Centre National de la Recherche Scientifique (CNRS), CentraleSupélec, Université Paris-Saclay, EDF (EDF), Catholic University of Leuven - Katholieke Universiteit Leuven (KU Leuven), Modelica Association |
| Rok vydání: | 2017 |
| Předmět: |
Scheme (programming language)
Multi-core processor Computer science Distributed computing Scale (chemistry) PC Cluster 0211 other engineering and technologies InfiniBand Cyber-physical system 010103 numerical & computational mathematics 02 engineering and technology 01 natural sciences Scaling Modelica Multi-Simulation 021105 building & construction Key (cryptography) [INFO]Computer Science [cs] Distributed memory [INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC] 0101 mathematics Multi-core FMI computer computer.programming_language |
| Zdroj: | Modelica 12th International Modelica Conference 2017 12th International Modelica Conference 2017, May 2017, Prague, Czech Republic HAL |
| ISSN: | 1650-3686 |
| DOI: | 10.3384/ecp17132673 |
| Popis: | Project of RISEGrid institute (EDF-CentraleSupelec); International audience; 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. |
| Databáze: | OpenAIRE |
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