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dc.contributor.authorSolé Bonet, Marc
dc.contributor.authorKosmidis, Leonidas
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors
dc.contributor.otherBarcelona Supercomputing Center
dc.date.accessioned2022-06-09T07:22:20Z
dc.date.available2022-06-09T07:22:20Z
dc.date.issued2022
dc.identifier.citationSolé, M.; Kosmidis, L. SPARROW: A low-cost hardware/software co-designed SIMD microarchitecture for AI operations in space processors. A: Design, Automation and Test in Europe Conference and Exhibition. "Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE 2022): 14-23 March 2022, online virtual platform". Institute of Electrical and Electronics Engineers (IEEE), 2022, p. 1139-1142. ISBN 978-3-9819263-6-1. DOI 10.23919/DATE54114.2022.9774730.
dc.identifier.isbn978-3-9819263-6-1
dc.identifier.urihttp://hdl.handle.net/2117/368180
dc.description.abstractRecently there is an increasing interest in the use of artificial intelligence for on-board processing as indicated by the latest space missions, which cannot be satisfied by existing low-performance space-qualified processors. Although COTS AI accelerators can provide the required performance, they are not designed to meet space requirements. In this work, we co-design a low-cost SIMD micro-architecture integrated in a space qualified processor, which can significantly increase its performance. Our solution has no impact on the processor's 100 MHz frequency and consumes minimal area thanks to its innovative design compared to conventional vector micro-architectures. For the minimum configuration of our baseline space processor, our results indicate a performance boost of up to 9.3× for commonly used AI-related and image processing algorithms and 5.5× faster for a complex, space-relevant inference application with just 30% area increase.
dc.description.sponsorshipThis work was supported by ESA through the GPU4S (GPU for Space) project, the Spanish Ministry of Economy and Competitiveness under grants PID2019- 107255GB and FJCI-2017-34095 (Spanish State Research Agency / http://dx.doi.org/10.13039/501100011033), the European Commission’s Horizon 2020 programme under the UP2DATE project (grant agreement 871465), the HiPEAC Network of Excellence and a first prize in Xilinx’s University Open Hardware Competition 2021 in the student category.
dc.format.extent4 p.
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.subjectÀrees temàtiques de la UPC::Informàtica::Arquitectura de computadors
dc.subject.lcshMicrocontrollers
dc.subject.otherProgram processors
dc.subject.otherMicroarchitecture
dc.subject.otherNeon
dc.subject.otherSpace missions
dc.subject.otherImage processing
dc.subject.otherHardware
dc.titleSPARROW: A low-cost hardware/software co-designed SIMD microarchitecture for AI operations in space processors
dc.typeConference report
dc.subject.lemacMicrocontroladors
dc.contributor.groupUniversitat Politècnica de Catalunya. CAP - Grup de Computació d'Altes Prestacions
dc.identifier.doi10.23919/DATE54114.2022.9774730
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://ieeexplore.ieee.org/document/9774730
dc.rights.accessOpen Access
local.identifier.drac33780554
dc.description.versionPostprint (author's final draft)
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/H2020/871465/EU/Intelligent software-UPDATE technologies for safe and secure mixed-criticality and high performance cyber physical systems/UP2DATE
dc.relation.projectidinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-107255GB-C21/ES/BSC - COMPUTACION DE ALTAS PRESTACIONES VIII/
local.citation.authorSolé, M.; Kosmidis, L.
local.citation.contributorDesign, Automation and Test in Europe Conference and Exhibition
local.citation.publicationNameProceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE 2022): 14-23 March 2022, online virtual platform
local.citation.startingPage1139
local.citation.endingPage1142


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