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The variability of application execution times on a multi-core platform

dc.contributor.authorNelis, Vincent
dc.contributor.authorYomsi, Patrick
dc.contributor.authorPinho, Luís Miguel
dc.date.accessioned2017-02-06T14:42:41Z
dc.date.available2017-02-06T14:42:41Z
dc.date.issued2016
dc.description16th International Workshop on Worst-Case Execution Time Analysis (WCET 2016). 5, Jul, 2016. Toulouse, France.WCET was held as part of ECRTS 2016 that took place in Toulouse, France on July 5-8, 2016.pt_PT
dc.description.abstractIt is a known fact that processes running concurrently on different cores in a multicore environment interfere with each other on the processor shared resources. The contention on these shared resources considerably slows down the execution on every core since sometimes the cores must stall while their requests to access the resources are being served. But by how much the execution may b e s lowed down due to this interference? In this pap er we answer this question with numbers coming from experimentation. That is, we quantify the magnitude of the impact of the interference on the execution time by running programs taken from the TACLeBench benchmark suite, a popular benchmark suite in the real-time research community, on the first generation of Kalray manycore processor family, the MPPA-256 (the development board) that goes by the code name “Andey”.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.4230/OASIcs.WCET.2016.6pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/9518
dc.language.isoengpt_PT
dc.publisherDROPSpt_PT
dc.relationParallel SOftware framework for time-CRitical mAny-core sysTEmS
dc.relation.ispartofseriesWCET;2016
dc.relation.publisherversionhttp://drops.dagstuhl.de/opus/volltexte/2016/6899/pt_PT
dc.subjectExecution time variabilitypt_PT
dc.subjectTiming analysispt_PT
dc.subjectWCET estimatespt_PT
dc.subjectMulticorespt_PT
dc.subjectMany-corespt_PT
dc.titleThe variability of application execution times on a multi-core platformpt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.awardTitleParallel SOftware framework for time-CRitical mAny-core sysTEmS
oaire.awardURIinfo:eu-repo/grantAgreement/EC/FP7/611016/EU
oaire.citation.conferencePlace5, Jul, 2016. Toulouse, Francept_PT
oaire.citation.title16th International Workshop on Worst-Case Execution Time Analysispt_PT
oaire.fundingStreamFP7
person.familyNamePinho
person.givenNameLuis Miguel
person.identifier.ciencia-id8112-2108-F3B2
person.identifier.orcid0000-0001-6888-1340
person.identifier.ridM-3416-2013
person.identifier.scopus-author-id6602594556
project.funder.identifierhttp://doi.org/10.13039/501100008530
project.funder.nameEuropean Commission
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublicationfd791145-af93-47d9-bbe8-647a326d2f39
relation.isAuthorOfPublication.latestForDiscoveryfd791145-af93-47d9-bbe8-647a326d2f39
relation.isProjectOfPublication88e3c263-adf4-4fb5-bb99-418ffe5993ed
relation.isProjectOfPublication.latestForDiscovery88e3c263-adf4-4fb5-bb99-418ffe5993ed

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