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Parallelization of Aggregated FMUs using Static Scheduling
Linköping University, Department of Computer and Information Science, Software and Systems.
2018 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

This thesis implements and evaluates static scheduling for aggregated FMUs. An aggregate FMU is several coupled FMUs placed in a single FMU. The implementation creates task graphs from the internal dependencies and connections between the coupled FMUs. These task graphs are then scheduled using two different list scheduling heuristics, MCP and HLFET. The resulting schedules are then executed in parallel by using OpenMP in the runtime. The implementation is evaluated by looking at the utilization of the schedule, the execution time of the scheduling and the speedup of the simulation. These measurements are taken on three different test models. With model exchange FMUs only a really small speedup is observed. With co-simulation models the speedup varies a lot depending on the model, the highest achieved speedup was 2.8 running on four cores.

Place, publisher, year, edition, pages
2018. , p. 45
Keywords [en]
FMI, FMU, Co-simulation, parallelization
National Category
Computer Engineering
Identifiers
URN: urn:nbn:se:liu:diva-152272ISRN: LIU-IDA/LITH-EX-A--18/044--SEOAI: oai:DiVA.org:liu-152272DiVA, id: diva2:1258495
External cooperation
Modelon
Subject / course
Computer Engineering
Presentation
2018-10-05, Donald Knuth, Linköping, 09:00 (English)
Supervisors
Examiners
Available from: 2018-10-25 Created: 2018-10-24 Last updated: 2018-10-25Bibliographically approved

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CiteExportLink to record
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  • apa
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