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dc.provenanceComisión de Investigaciones Científicas-
dc.contributorDenham, Mónica-
dc.contributorAreta, Javier-
dc.contributorVaquila, Isidoro-
dc.contributorTinetti, Fernando Gustavo-
dc.creatorDenham, Mónica-
dc.creatorAreta, Javier-
dc.creatorVaquila, Isidoro-
dc.creatorTinetti, Fernando Gustavo-
dc.date2014-10-
dc.date.accessioned2019-04-29T16:10:13Z-
dc.date.available2019-04-29T16:10:13Z-
dc.date.issued2014-10-
dc.identifierhttp://digital.cic.gba.gob.ar/handle/11746/6462-
dc.identifier.urihttp://rodna.bn.gov.ar:8080/jspui/handle/bnmm/310794-
dc.descriptionIn this work an effcient parallel implementation of the Chirp Scaling Algorithm (CSA) for Synthetic Aperture Radar (SAR) processing is presented. The architecture selected for the implementation is General Purpose Graphic Processing Unit (GPGPU), as it is well suited for scientific applications and real time implementation of algorithms. The analysis of a first implementation led to several improvements which resulted in an important final speedup. Details of the issues found are explained, and the performance improvement of their correction explicitly shown.-
dc.formatapplication/pdf-
dc.format12 p.-
dc.languageeng-
dc.rightsinfo:eu-repo/semantics/openAccess-
dc.rightsAttribution 4.0 International (BY 4.0)-
dc.sourcereponame:CIC Digital (CICBA)-
dc.sourceinstname:Comisión de Investigaciones Científicas de la Provincia de Buenos Aires-
dc.sourceinstacron:CICBA-
dc.source.urihttp://digital.cic.gba.gob.ar/handle/11746/6462-
dc.subjectCiencias de la Computación-
dc.titleSynthetic Aperture Radar Signal Processing using GPGPU-
dc.typeinfo:eu-repo/semantics/conferenceObject-
dc.typeinfo:eu-repo/semantics/publishedVersion-
dc.typeinfo:ar-repo/semantics/documentoDeConferencia-
Aparece en las colecciones: Comisión de Investigaciones Científicas de la Prov. de Buenos Aires

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