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dc.contributor.authorSolé i Bonet, Marc
dc.contributor.authorRodríguez Ferrández, Iván
dc.contributor.authorSteenari, David
dc.contributor.authorKosmidis, Leonidas
dc.contributor.otherUniversitat Politècnica de Catalunya. Doctorat en Arquitectura de Computadors
dc.contributor.otherBarcelona Supercomputing Center
dc.date.accessioned2024-03-21T08:38:19Z
dc.date.available2024-03-21T08:38:19Z
dc.date.issued2023
dc.identifier.citationSolé, M. [et al.]. Acceleration of synthetic aperture radar for on-board space systems. A: IEEE High Performance Extreme Computing Conference. "2023 IEEE High Performance Extreme Computing virtual conference: virtual, September 25-29, 2023". Institute of Electrical and Electronics Engineers (IEEE), 2023. ISBN 979-8-3503-0860-0. DOI 10.1109/HPEC58863.2023.10363508.
dc.identifier.isbn979-8-3503-0860-0
dc.identifier.urihttp://hdl.handle.net/2117/405054
dc.description.abstractThere is an increasing trend in modern space systems to move processing that until now was transmitted to ground for processing, on board the satellite. Synthetic Aperture Radar (SAR) is an example of such processing. However, such a computationally intensive task requires high performance hardware. In this paper we present the CPU and GPU acceleration of an on-board SAR processing application, part of ESA's open source benchmarking suite OBPMark. We benchmark several embedded multicore and GPU platforms which are promising candidates for future on-board systems. Our results show that both embedded multicores and especially GPUs can provide significant speedups in this type of processing, and can achieve performance levels similar to the ones of high performance ground stations.
dc.description.sponsorshipThis work was supported by ESA through the 4000136514/21/NL/GLC/my co-funded PhD activity ”Mixed Software/Hardware-based Fault-tolerance Techniques for Complex COTS System-on-Chip in Radiation Environments” and the GPU4S (GPU for Space) ESA-funded project. Moreover, it was supported by the European Union’s Horizon Europe programme under the METASAT project (grant agreement 101082622). It was also partially supported by the Spanish Ministry of Economy and Competitiveness under grants PID2019-107255GBC21 and IJC-2020-045931-I ( Spanish State Research Agency / Agencia Espanola de Investigación (AEI) / http://dx.doi.org/10.13039/501100011033 ) and by the Department of Research and Universities of the Government of Catalonia with a grant to the CAOS Research Group (Code: 2021 SGR 00637).
dc.format.extent7 p.
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Radar
dc.subject.lcshSynthetic aperture radar
dc.subject.lcshEmbedded computer systems
dc.subject.lcshGraphics processing units
dc.subject.otherMulticore CPUs
dc.subject.otherEmbedded GPUs
dc.subject.otherOn-board processing
dc.subject.otherBenchmarking
dc.subject.otherOBPMark
dc.titleAcceleration of synthetic aperture radar for on-board space systems
dc.typeConference report
dc.subject.lemacRadar d'obertura sintètica
dc.subject.lemacOrdinadors immersos, Sistemes d'
dc.subject.lemacUnitats de processament gràfic
dc.identifier.doi10.1109/HPEC58863.2023.10363508
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://ieeexplore.ieee.org/document/10363508
dc.rights.accessOpen Access
local.identifier.drac38473241
dc.description.versionPostprint (author's final draft)
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/HE/101082622/EU/MODULAR MODEL-BASED DESIGN AND TESTING FOR APPLICATIONS IN SATELLITES/METASAT
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.; Rodriguez, I.; Steenari, D.; Kosmidis, L.
local.citation.contributorIEEE High Performance Extreme Computing Conference
local.citation.publicationName2023 IEEE High Performance Extreme Computing virtual conference: virtual, September 25-29, 2023


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