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Exploring and Understanding Multicore Interference from Observable Factors

dc.contributor.authorLesage, Benjamin
dc.contributor.authorGriffin,David
dc.contributor.authorBate, Iain
dc.contributor.authorSoboczenski, Frank
dc.contributor.editorDencker, Peter
dc.contributor.editorKlenk, Herbert
dc.contributor.editorKeller, Hubert B.
dc.contributor.editorPlödererder, Erhard
dc.date.accessioned2017-06-16T19:03:37Z
dc.date.available2017-06-16T19:03:37Z
dc.date.issued2017
dc.description.abstractMulti-core processors bring a wide variety of challenges to the development, maintenance and certification of safety-critical systems. One of the key challenges is to understand how tasks sharing the processing resource affect one another, and to build an understanding of existing or new platforms. Industry reports that interference can lead to large variations in execution times which can lead to a wide variety of problems including timing overruns. To support performance improvements, debugging and timing analysis, a framework is presented in this paper for reliably establishing the interference patterns of tasks using simple contenders. These contenders systematically manipulate the shared resources so the effect on interferences can be understood and analysed. The approach relies on guided exploration of the interference space and existing performance monitoring infrastructure. It has been implemented on a Tricore AURIX platform to analyse the behaviour of multiple real and kernel applications.
dc.identifier.isbn978-3-88579-663-3
dc.identifier.pissn1617-5468
dc.language.isoen
dc.publisherGesellschaft für Informatik, Bonn
dc.relation.ispartofAutomotive - Safety & Security 2017 - Sicherheit und Zuverlässigkeit für automobile Informationstechnik
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-269
dc.subjectInter-core interferences
dc.subjecttiming analysis
dc.subjectShared resources
dc.subjectmeasurement-based
dc.subjectperformance monitoring
dc.titleExploring and Understanding Multicore Interference from Observable Factors
dc.typeText/Conference Paper
gi.citation.endPage88
gi.citation.startPage75
gi.conference.date30.-31. Mai 2017
gi.conference.locationStuttgart

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