Context-based polynomial extrapolation and slackened synchronization for fast multi-core simulation using FMI

  • Ben Khaled A
  • Duval L
  • Ben Gaid M
  • et al.
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Abstract

The growing complexity of systems, together with in- creasing available parallelism provided by multi-core chips, calls for the parallelization of simulation. Simu- lation speed-ups are expected from co-simulation and parallelization based on models splitting into loosely coupled sub-systems in the framework of Functional Mockup Interface (FMI). However, slackened syn- chronization between the sub-models and associated solvers running in parallel introduces integration er- rors, which must be kept inside predefined bounds. In this paper, context-based extrapolation is investigated to improve the trade-off between integration speed- ups, needing large communication steps, and simula- tion precision, needing frequent updates for the mod- els inputs. An internal combustion engine, based on FMI for model exchange, is used to assess the paral- lelization methodology.

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Ben Khaled, A., Duval, L., Ben Gaid, M., & Simon, D. (2014). Context-based polynomial extrapolation and slackened synchronization for fast multi-core simulation using FMI. In Proceedings of the 10th International Modelica Conference, March 10-12, 2014, Lund, Sweden (Vol. 96, pp. 225–234). Linköping University Electronic Press. https://doi.org/10.3384/ecp14096225

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