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dc.contributor.authorSojka M.
dc.contributor.authorBenedikt O.
dc.contributor.authorHanzálek Z.
dc.date.accessioned2021-12-23T12:52:37Z
dc.date.available2021-12-23T12:52:37Z
dc.date.issued2021
dc.identifierV3S-353349
dc.identifier.citationSOJKA, M., O. BENEDIKT, and Z. HANZÁLEK. Work-in-Progress: Determining MPSoC Layout from Thermal Camera Images. In: EMSOFT '21: Proceedings of the 2021 International Conference on Embedded Software. 2021 International Conference on Embedded Software, Virtual, 2021-10-08/2021-10-15. New York: Association for Computing Machinery, 2021. p. 39-40. ISBN 978-1-4503-8712-5. DOI 10.1145/3477244.3477619. Available from: https://dl.acm.org/doi/10.1145/3477244.3477619
dc.identifier.isbn978-1-4503-8712-5 (online)
dc.identifier.urihttp://hdl.handle.net/10467/98840
dc.description.abstractIn many safety-critical applications, Multi-Processor Systems-on- Chip (MPSoC) must operate within a given thermal envelope under harsh environmental conditions. Meeting the thermal requirements often requires using advanced task allocation and scheduling techniques that are guided by detailed power models. This paper introduces a method that has the potential to simplify the creation of such models. It constructs so-called heat maps from thermal camera images. By comparing the heat maps of different workloads, we identify the locations of on-chip components and the amount of heat produced by them. We demonstrate our method on the i.MX8QuadMax chip from NXP, where we identify the locations of CPU clusters, bigger CPU cores, GPUs, and DRAM controllers.eng
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherAssociation for Computing Machinery
dc.relation.ispartofEMSOFT '21: Proceedings of the 2021 International Conference on Embedded Software
dc.subjectthermal cameraeng
dc.subjectMPSoCeng
dc.subjectNXP i.MX8eng
dc.subjectheat mapeng
dc.subjectthermal-awareeng
dc.titleWork-in-Progress: Determining MPSoC Layout from Thermal Camera Imageseng
dc.typestať ve sborníkucze
dc.typeconference papereng
dc.identifier.doi10.1145/3477244.3477619
dc.rights.accessopenAccess
dc.identifier.wos000724136100011
dc.type.statusPeer-reviewed
dc.type.versionacceptedVersion
dc.relation.conference2021 International Conference on Embedded Software


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