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An Efficient Partitioning Strategy for Runnables in Weakly Dependent Tasks on Embedded Multi-Core Systems

  • With multi-core controllers entering the area of automotive control ECUs, strategies for parallelizing the control- algorithms come into focus. This paper deals with a special part of automotive powertrain software, called state transitions. Since dependencies between runnables executed there are weak, the transitions provide a good basis for parallelization. We present a strategy of how to distribute efficiently the execution of runnables to different cores while taking care of inner and outer dependencies. The strategy is accompanied by two case studies demonstrating the performance of the concept. The first one is carried out to find the most efficient strategies of parallelize state transitions based on randomly generated, simulated state transitions. In the second one, the developed partitioning strategies are applied to a real software project for an automotive powertrain system.

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Metadaten
Author:Martin Alfranseder, Tobias Krapf, Ralph Mader, Michael NiemetzORCiDGND, Jürgen MottokORCiDGND, Christian Siemers
Parent Title (English):Embedded real-time software and systems (ERTS² 2014), Feb 2014, Toulouse, France
Document Type:conference proceeding (article)
Language:English
Year of first Publication:2014
Release Date:2021/03/01
Institutes:Fakultät Elektro- und Informationstechnik
Fakultät Elektro- und Informationstechnik / Labor Datenkommunikation
Fakultät Elektro- und Informationstechnik / Laboratory for Safe and Secure Systems (LAS3)
research focus:Digitalisierung
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