Synthetic aperture radar signal processing in parallel using GPGPU

Autores
Denham, Mónica Malen; Areta, Javier Alberto; Tinetti, Fernando Gustavo
Año de publicación
2015
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
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.
Fil: Denham, Mónica Malen. Universidad Nacional de Rio Negro. Sede Andina. Departamento de Ciencias Exactas, Naturales y de Ingenieria; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte; Argentina
Fil: Areta, Javier Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte; Argentina. Universidad Nacional de Rio Negro. Sede Andina. Departamento de Cs.exactas, Naturales y de Ingeniería. Area de Ingeniería Electronica; Argentina
Fil: Tinetti, Fernando Gustavo. Universidad Nacional de La Plata. Facultad de Informática. Instituto de Investigación en Informática Lidi; Argentina. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Materia
GP-GPU
HIGH PERFORMANCE COMPUTING
SYNTHETIC APERTURE RADAR
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/180519

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network_name_str CONICET Digital (CONICET)
spelling Synthetic aperture radar signal processing in parallel using GPGPUDenham, Mónica MalenAreta, Javier AlbertoTinetti, Fernando GustavoGP-GPUHIGH PERFORMANCE COMPUTINGSYNTHETIC APERTURE RADARhttps://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2In 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.Fil: Denham, Mónica Malen. Universidad Nacional de Rio Negro. Sede Andina. Departamento de Ciencias Exactas, Naturales y de Ingenieria; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte; ArgentinaFil: Areta, Javier Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte; Argentina. Universidad Nacional de Rio Negro. Sede Andina. Departamento de Cs.exactas, Naturales y de Ingeniería. Area de Ingeniería Electronica; ArgentinaFil: Tinetti, Fernando Gustavo. Universidad Nacional de La Plata. Facultad de Informática. Instituto de Investigación en Informática Lidi; Argentina. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaSpringer2015-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/180519Denham, Mónica Malen; Areta, Javier Alberto; Tinetti, Fernando Gustavo; Synthetic aperture radar signal processing in parallel using GPGPU; Springer; Journal of Supercomputing; 72; 2; 12-2015; 451-4670920-8542CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://link.springer.com/article/10.1007/s11227-015-1572-zinfo:eu-repo/semantics/altIdentifier/doi/10.1007/s11227-015-1572-zinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:03:35Zoai:ri.conicet.gov.ar:11336/180519instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:03:35.394CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Synthetic aperture radar signal processing in parallel using GPGPU
title Synthetic aperture radar signal processing in parallel using GPGPU
spellingShingle Synthetic aperture radar signal processing in parallel using GPGPU
Denham, Mónica Malen
GP-GPU
HIGH PERFORMANCE COMPUTING
SYNTHETIC APERTURE RADAR
title_short Synthetic aperture radar signal processing in parallel using GPGPU
title_full Synthetic aperture radar signal processing in parallel using GPGPU
title_fullStr Synthetic aperture radar signal processing in parallel using GPGPU
title_full_unstemmed Synthetic aperture radar signal processing in parallel using GPGPU
title_sort Synthetic aperture radar signal processing in parallel using GPGPU
dc.creator.none.fl_str_mv Denham, Mónica Malen
Areta, Javier Alberto
Tinetti, Fernando Gustavo
author Denham, Mónica Malen
author_facet Denham, Mónica Malen
Areta, Javier Alberto
Tinetti, Fernando Gustavo
author_role author
author2 Areta, Javier Alberto
Tinetti, Fernando Gustavo
author2_role author
author
dc.subject.none.fl_str_mv GP-GPU
HIGH PERFORMANCE COMPUTING
SYNTHETIC APERTURE RADAR
topic GP-GPU
HIGH PERFORMANCE COMPUTING
SYNTHETIC APERTURE RADAR
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv 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.
Fil: Denham, Mónica Malen. Universidad Nacional de Rio Negro. Sede Andina. Departamento de Ciencias Exactas, Naturales y de Ingenieria; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte; Argentina
Fil: Areta, Javier Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte; Argentina. Universidad Nacional de Rio Negro. Sede Andina. Departamento de Cs.exactas, Naturales y de Ingeniería. Area de Ingeniería Electronica; Argentina
Fil: Tinetti, Fernando Gustavo. Universidad Nacional de La Plata. Facultad de Informática. Instituto de Investigación en Informática Lidi; Argentina. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
description 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.
publishDate 2015
dc.date.none.fl_str_mv 2015-12
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/180519
Denham, Mónica Malen; Areta, Javier Alberto; Tinetti, Fernando Gustavo; Synthetic aperture radar signal processing in parallel using GPGPU; Springer; Journal of Supercomputing; 72; 2; 12-2015; 451-467
0920-8542
CONICET Digital
CONICET
url http://hdl.handle.net/11336/180519
identifier_str_mv Denham, Mónica Malen; Areta, Javier Alberto; Tinetti, Fernando Gustavo; Synthetic aperture radar signal processing in parallel using GPGPU; Springer; Journal of Supercomputing; 72; 2; 12-2015; 451-467
0920-8542
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://link.springer.com/article/10.1007/s11227-015-1572-z
info:eu-repo/semantics/altIdentifier/doi/10.1007/s11227-015-1572-z
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Springer
publisher.none.fl_str_mv Springer
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.070432