Simulating Heterogeneous Models on Multi-Core Platforms using Julia's Computing Language Parallel Potential

This paper addresses the questions of high-level system modelling using heterogeneous multi-tool modelling environment on parallel multi-core processing systems for simulation acceleration. The modelling technique has been applied for high-level validation of a high-precision Indoor Positioning Syst...

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Bibliographic Details
Published in2020 IEEE/ACM 24th International Symposium on Distributed Simulation and Real Time Applications (DS-RT) pp. 1 - 4
Main Authors Suslov, Sergey, Schiek, Michael, Robens, Markus, Grewing, Christian, van Waasen, Stefan
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2020
Subjects
Computational modeling
distributed simulation
functional verification
Handheld computers
high level system modelling
Julia computing language
Modelica
parallelized simulation
Sensors
Software packages
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Summary:This paper addresses the questions of high-level system modelling using heterogeneous multi-tool modelling environment on parallel multi-core processing systems for simulation acceleration. The modelling technique has been applied for high-level validation of a high-precision Indoor Positioning System for Motion Analysis (IPS-MA) developed in the Central Institute Electronic Systems (ZEA-2) of the Research Center Juelich GmbH. The heterogeneous modelling environment has been built using an implementation-level model designed in Matlab Simulink, a verification model for describing the system environment using Modelica language, and Julia language for automatic generation of binding modelling environment and parallelizing the simulation of the overall model. The approach showed a good flexibility in system description and verification in the multi-instrument modelling environment and a good performance gain due to simulation parallelism.
DOI:10.1109/DS-RT50469.2020.9213527