Fast multi-core co-simulation of Cyber-Physical Systems: Application to internal combustion engines |
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Affiliation: | 1. IFP Energies nouvelles, 1-4 avenue de Bois-Préau, 92852 Rueil-Malmaison, France;2. INRIA/LIRMM (UMR 5506) – DEMAR team, 95 rue de la Galéra, 34090 Montpellier, France;1. Centennial College, School of Business, 841 Progress Campus, Toronto, Ontario, Canada;2. School of Economics, Australian Institute for Business and Economics (AIBE) and Centre for Efficiency and Productivity Analysis (CEPA), The University of Queensland, Australia |
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Abstract: | The design process of complex Cyber-Physical Systems often relies on co-simulations of the system, involving the interaction of several simulated models of sub-systems. However, reaching real-time simulations is currently prevented by prohibitive CPU times using the single-threaded existing simulation tools. This paper investigates the problem of the efficient parallel co-simulation of hybrid dynamical systems. It introduces a finely-grained co-simulation method enabling numerical integration speed-ups. It is obtained using a partition across the model into loosely coupled sub-systems with sparse communication between modules. The proposed scheme leads to schedule a large number of operations with a wide range of execution times. A suitable off-line scheduling algorithm, based on the input/output dynamics of the models, is proposed to minimize the simulation errors induced by the parallel execution. This scheme is finally tested using the phenomenological model of a combustion engine issued from the Functional Mockup Interface framework. Compared with the sequential case, it shows significant speed-ups while keeping the numerical integration accuracy under control. |
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Keywords: | Hybrid dynamical system Distributed simulation Cyber-Physical System Numerical integration Model decomposition Multi-core scheduling |
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