Scaling of Distributed Multi-Simulations on Multi-Core Clusters

Cherifa Dad (1, 2, 3) , Stephane Vialle (3, 1, 2) , Mathieu Caujolle (4) , Jean-Philippe Tavella (4) , Michel Ianotto (2, 3)

1 Georgia Tech Lorraine [Metz]
2 CentraleSupélec
3 Université Paris-Saclay
4 EDF - EDF

DACCOSIM is a multi-simulation environment for continuous time systems, relying on FMI standard, making easy the design of a multi-simulation graph, and specially developed for multi-core PC clusters, in order to achieve speedup and size up. However, the distribution of the simulation graph remains complex and is still the responsibility of the simulation developer. This paper introduces DACCOSIM parallel and distributed architecture, and our strategies to achieve efficient multi-simulation graph distribution on multi-core clusters. Some performance experiments on two clusters, running up to 81 simulation components (FMU) and using up to 16 multi-core computing nodes, are shown. Performances measured on our faster cluster exhibit a good scalability, but some limitations of current DACCOSIM implementation are discussed.

Keywords: multi-simulation; scalability; speedup; size up; multi-cores; PC cluster; FMI; performance; DACCOSIM

Domains: Computer Science [cs]

Cherifa Dad, Stephane Vialle, Mathieu Caujolle, Jean-Philippe Tavella, Michel Ianotto. Scaling of Distributed Multi-Simulations on Multi-Core Clusters. 25th IEEE International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE-2016), Jun 2016, Paris, France. ⟨hal-01332628⟩