Recovering historical climate records using artificial neural networks in GPU

This article presents a parallel implementation of Artificial Neural Networks over Graphic Processing Units, and its application for recovering his-torical climate records from the Digi-Clima project. Several strategies are intro-duced to handle large volumes of historical pluviometer records, and t...

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Hlavní autor: Balarini, Juan Pablo (author)
Další autoři: Nesmachnow, Sergio (author)
Médium: report
Jazyk:angličtina
Vydáno: 2014
Témata:
On-line přístup:http://hdl.handle.net/20.500.12008/5169
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author Balarini, Juan Pablo
author2 Nesmachnow, Sergio
author2_role author
author_browse Balarini, Juan Pablo
Nesmachnow, Sergio
author_facet Balarini, Juan Pablo
Nesmachnow, Sergio
author_role author
collection COLIBRI
dc.contributor.none.fl_str_mv Balarini Juan Pablo, Universidad de la República (Uruguay). Facultad de Ingenieria.
Nesmachnow Sergio, Universidad de la República (Uruguay). Facultad de Ingenieria.
dc.creator.none.fl_str_mv Balarini, Juan Pablo
Nesmachnow, Sergio
dc.date.none.fl_str_mv 2014
2015-12-14T12:42:56Z
2015-12-14T12:42:56Z
dc.format.none.fl_str_mv 12 p.
aplication/pdf
dc.identifier.none.fl_str_mv BALARINI, J., NESMACHNOW, S. "Recovering historical climate records using artificial neural networks in GPU". Montevideo : UR.FI-INCO, 2014. Reportes Técnicos 14-09.
07976410
http://hdl.handle.net/20.500.12008/5169
dc.language.none.fl_str_mv en
eng
dc.publisher.none.fl_str_mv UR.FI-INCO
dc.relation.none.fl_str_mv Reportes Técnicos 14-09
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
Licencia Creative Commons Atribución – No Comercial – Sin Derivadas (CC BY-NC-ND 4.0)
dc.source.none.fl_str_mv reponame:COLIBRI
instname:Universidad de la República
instacron:Universidad de la República
dc.subject.none.fl_str_mv Artificial neural networks
Image processing
Climate records
GPU
dc.title.none.fl_str_mv Recovering historical climate records using artificial neural networks in GPU
dc.type.none.fl_str_mv Reporte técnico
info:eu-repo/semantics/report
info:eu-repo/semantics/publishedVersion
description This article presents a parallel implementation of Artificial Neural Networks over Graphic Processing Units, and its application for recovering his-torical climate records from the Digi-Clima project. Several strategies are intro-duced to handle large volumes of historical pluviometer records, and the paral-lel deployment is described. The experimental evaluation demonstrates that the proposed approach is useful for recovering the climate information, achieving classification rates up to 76% for a set of real images from the Digi-Clima pro-ject. The parallel algorithm allows reducing the execution times, with an accel-eration factor of up to 2.15×.
eu_rights_str_mv openAccess
format report
id anni_9da4dca56bc09f60904e42585cdc3b30
identifier_str_mv BALARINI, J., NESMACHNOW, S. "Recovering historical climate records using artificial neural networks in GPU". Montevideo : UR.FI-INCO, 2014. Reportes Técnicos 14-09.
07976410
instacron_str Universidad de la República
institution Universidad de la República
instname_str Universidad de la República
language eng
language_invalid_str_mv en
network_acronym_str anni
network_name_str oai-lr-anni
oai_identifier_str oai:colibri.udelar.edu.uy:20.500.12008/5169
publishDate 2014
publishDateSort 2014
publisher.none.fl_str_mv UR.FI-INCO
reponame_str COLIBRI
repository.mail.fl_str_mv
repository.name.fl_str_mv
repository_id_str
rights_invalid_str_mv Licencia Creative Commons Atribución – No Comercial – Sin Derivadas (CC BY-NC-ND 4.0)
spelling Recovering historical climate records using artificial neural networks in GPUBalarini, Juan PabloNesmachnow, SergioArtificial neural networksImage processingClimate recordsGPUThis article presents a parallel implementation of Artificial Neural Networks over Graphic Processing Units, and its application for recovering his-torical climate records from the Digi-Clima project. Several strategies are intro-duced to handle large volumes of historical pluviometer records, and the paral-lel deployment is described. The experimental evaluation demonstrates that the proposed approach is useful for recovering the climate information, achieving classification rates up to 76% for a set of real images from the Digi-Clima pro-ject. The parallel algorithm allows reducing the execution times, with an accel-eration factor of up to 2.15×.UR.FI-INCOBalarini Juan Pablo, Universidad de la República (Uruguay). Facultad de Ingenieria.Nesmachnow Sergio, Universidad de la República (Uruguay). Facultad de Ingenieria.2015-12-14T12:42:56Z2015-12-14T12:42:56Z2014Reporte técnicoinfo:eu-repo/semantics/reportinfo:eu-repo/semantics/publishedVersion12 p.aplication/pdfBALARINI, J., NESMACHNOW, S. "Recovering historical climate records using artificial neural networks in GPU". Montevideo : UR.FI-INCO, 2014. Reportes Técnicos 14-09.07976410http://hdl.handle.net/20.500.12008/5169reponame:COLIBRIinstname:Universidad de la Repúblicainstacron:Universidad de la RepúblicaenengReportes Técnicos 14-09Las obras depositadas en el Repositorio se rigen por la Ordenanza de los Derechos de la Propiedad Intelectual de la Universidad de la República.(Res. Nº 91 de C.D.C. de 8/III/1994 – D.O. 7/IV/1994) y por la Ordenanza del Repositorio Abierto de la Universidad de la República (Res. Nº 16 de C.D.C. de 07/10/2014)info:eu-repo/semantics/openAccessLicencia Creative Commons Atribución – No Comercial – Sin Derivadas (CC BY-NC-ND 4.0)oai:colibri.udelar.edu.uy:20.500.12008/51692026-04-14T10:16:17Z
spellingShingle Recovering historical climate records using artificial neural networks in GPU
Balarini, Juan Pablo
Artificial neural networks
Image processing
Climate records
GPU
status_str publishedVersion
title Recovering historical climate records using artificial neural networks in GPU
title_full Recovering historical climate records using artificial neural networks in GPU
title_fullStr Recovering historical climate records using artificial neural networks in GPU
title_full_unstemmed Recovering historical climate records using artificial neural networks in GPU
title_short Recovering historical climate records using artificial neural networks in GPU
title_sort Recovering historical climate records using artificial neural networks in GPU
topic Artificial neural networks
Image processing
Climate records
GPU
url http://hdl.handle.net/20.500.12008/5169