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dc.contributor.authorSojka M.
dc.contributor.authorBenedikt O.
dc.contributor.authorHanzálek Z.
dc.contributor.authorZaykov P.
dc.date.accessioned2022-05-21T04:32:06Z
dc.date.available2022-05-21T04:32:06Z
dc.date.issued2020
dc.identifierV3S-344066
dc.identifier.citationSOJKA, M., et al. Testbed for thermal and performance analysis in MPSoC systems. In: Proceedings of the 2020 Federated Conference on Computer Science and Information Systems, FedCSIS 2020. 15th Federated Conference on Computer Science and Information Systems, Sofia, 2020-09-06/2020-09-09. Institute of Electrical and Electronics Engineers, Inc., 2020. p. 683-692. vol. 21. ISSN 2300-5963. ISBN 978-83-955416-7-4. DOI 10.15439/2020F174. Available from: https://annals-csis.org/proceedings/2020/drp/pdf/174.pdf
dc.identifier.isbn978-83-955416-7-4 (online)
dc.identifier.issn2300-5963 (online)
dc.identifier.urihttp://hdl.handle.net/10467/100697
dc.description.abstractMany modern computing platforms in the safety-critical domains are based on heterogeneous Multiprocessor System-on-Chip (MPSoC). Such computing platforms are expected to guarantee high-performance within a strict thermal envelope. This paper introduces a testbed for thermal and performance analysis. The testbed allows the users to develop advanced scheduling and resource allocation techniques aiming at finding an optimal trade-off between the peak temperature and the achieved performance. This paper presents a new, open-source Thermobench tool for data collection and analysis of user-defined workloads. Furthermore, a methodology for shortening the time needed for the data collection is proposed. Experiments show that a significant amount of time can be saved. Specifically, time reduction from 60 minutes to 15 minutes is achieved with the i.MX8 MPSoC from NXP while running a set of user-defined benchmarks that stress CPU, GPU, and different levels of the memory hierarchy.eng
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers, Inc.
dc.relation.ispartofProceedings of the 2020 Federated Conference on Computer Science and Information Systems, FedCSIS 2020
dc.subjectMany-Coreeng
dc.subjectMulti-Core Processoreng
dc.subjectInternational Sociological Associationeng
dc.titleTestbed for thermal and performance analysis in MPSoC systemseng
dc.typestať ve sborníkucze
dc.typeconference papereng
dc.identifier.doi10.15439/2020F174
dc.rights.accessopenAccess
dc.type.statusPeer-reviewed
dc.type.versionacceptedVersion
dc.identifier.scopus2-s2.0-85095785456
dc.relation.conference15th Federated Conference on Computer Science and Information Systems


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