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Analysis of self-interference within DAG tasks

dc.contributor.authorFonseca, José
dc.contributor.authorNélis, Vincent
dc.contributor.authorNelissen, Geoffrey
dc.contributor.authorPinho, Luís Miguel
dc.date.accessioned2015-11-12T15:33:28Z
dc.date.available2015-11-12T15:33:28Z
dc.date.issued2015
dc.description6th Real-Time Scheduling Open Problems Seminar (RTSOPS 2015), Lund, Sweden.pt_PT
dc.description.abstractNo abstract (2-pages paper) Few years ago, the frontier separating the real-time embedded domain from the high-performance computing domain was neat and clearly defined. Nowadays, many contemporary applications no longer find their place in either category as they manifest both strict timing constraints and work-intensive computational demands. The only way forward to cope with such orthogonal requirements is to embrace the parallel execution programming paradigm on the emergent scalable and energy-efficient multicore/many-core architecturespt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/6850
dc.language.isoengpt_PT
dc.relationNORTE-07-0124-FEDER-000063pt_PT
dc.relationResearch Centre in Real-Time and Embedded Computing Systems
dc.relation.ispartofseriesRTSOPS 2015;
dc.titleAnalysis of self-interference within DAG taskspt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.awardTitleResearch Centre in Real-Time and Embedded Computing Systems
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UID%2FCEC%2F04234%2F2013/PT
oaire.citation.conferencePlace6th Real-Time Scheduling Open Problems Seminar (RTSOPS 2015), Lund, Swedenpt_PT
oaire.fundingStream6817 - DCRRNI ID
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/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
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relation.isAuthorOfPublication.latestForDiscoveryfd791145-af93-47d9-bbe8-647a326d2f39
relation.isProjectOfPublication278bd9d6-8d0a-4e53-8ca5-53afe4cd7ea2
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