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dc.date.accessioned 2022-07-07T17:54:47Z
dc.date.available 2022-07-07T17:54:47Z
dc.date.issued 2015-12-22
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/139122
dc.description.abstract In this work an efficient parallel implementation of the Chirp Scaling Algorithm for Synthetic Aperture Radar processing is presented. The architecture selected for the implementation is the general purpose graphic processing unit, 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 speed-up. Details of the issues found are explained, and the performance improvement of their correction explicitly shown. en
dc.format.extent 451-467 es
dc.language en es
dc.subject Synthetic aperture radar es
dc.subject High performance computing es
dc.subject GP-GPU es
dc.title Synthetic aperture radar signal processing in parallel using GPGPU en
dc.type Articulo es
sedici.identifier.other doi:10.1007/s11227-015-1572-z es
sedici.identifier.issn 0920-8542 es
sedici.identifier.issn 1573-0484 es
sedici.creator.person Denham, Mónica Malén es
sedici.creator.person Areta, Javier Alberto es
sedici.creator.person Tinetti, Fernando Gustavo es
sedici.subject.materias Informática es
sedici.description.fulltext true es
mods.originInfo.place Instituto de Investigación en Informática es
mods.originInfo.place Comisión de Investigaciones Científicas de la provincia de Buenos Aires es
sedici.subtype Articulo es
sedici.rights.license Creative Commons Attribution 4.0 International (CC BY 4.0)
sedici.rights.uri http://creativecommons.org/licenses/by/4.0/
sedici.description.peerReview peer-review es
sedici.relation.journalTitle Journal of Supercomputing es
sedici.relation.journalVolumeAndIssue vol. 72, no. 2 es


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Creative Commons Attribution 4.0 International (CC BY 4.0) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution 4.0 International (CC BY 4.0)