Co-processador de periodogramas de exoplanetas baseado em cluster de Raspberry PI e MPI

Detalhes bibliográficos
Autor(a) principal: Gomes, Marco Antonio
Data de Publicação: 2021
Tipo de documento: Dissertação
Idioma: por
Título da fonte: Biblioteca Digital de Teses e Dissertações do Mackenzie
Texto Completo: https://dspace.mackenzie.br/handle/10899/28425
Resumo: This work presents and implements an architecture of a low cost cluster coprocessor, using Raspberry PI processors as hardware support and MPI (Message Passing Inter-face) processing distribution library. Under this architecture, periodogram computation acceleration software for planetary transits was implemented in Python and the speedup results for various light curves associated with exoplanets are analyzed.
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spelling 2021-12-13T18:22:41Z2021-12-13T18:22:41Z2021-02-08GOMES, Marco Antonio. Co-processador de periodogramas de exoplanetas baseado em cluster de Raspberry PI e MPI. 2021. 47 f.. Dissertação (Ciências e Aplicações Geoespaciais) - Universidade Presbiteriana Mackenzie, São Paulohttps://dspace.mackenzie.br/handle/10899/28425This work presents and implements an architecture of a low cost cluster coprocessor, using Raspberry PI processors as hardware support and MPI (Message Passing Inter-face) processing distribution library. Under this architecture, periodogram computation acceleration software for planetary transits was implemented in Python and the speedup results for various light curves associated with exoplanets are analyzed.Este trabalho apresenta e implementa uma arquitetura de um coprocessador de cluster de baixo custo, tendo como suporte de hardware processadores Raspberry PI e, de software,a biblioteca de distribuição de processamento MPI (Message Passing Interface). Sob esta arquitetura, foi implementado em Python um software de aceleração de computação de periodogramas para trânsitos planetários e são analisados os resultados de speedup para diversas curvas de luz associadas a exoplanetasInstituto Presbiteriano Mackenzieapplication/pdfporUniversidade Presbiteriana MackenzieCiências e Aplicações GeoespaciaisUPMBrasilEscola de Engenharia Mackenzie (EE)http://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessclustercurva de luzprocessamento paraleloCNPQ::CIENCIAS EXATAS E DA TERRACo-processador de periodogramas de exoplanetas baseado em cluster de Raspberry PI e MPIinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisSilva, Lucianohttp://lattes.cnpq.br/7514305376858192Valio, Adriana Benetti MarquesStringhi, Denisehttp://lattes.cnpq.br/5562109803425697Gomes, Marco Antonioclusterlight curveparallel computingreponame:Biblioteca Digital de Teses e Dissertações do Mackenzieinstname:Universidade Presbiteriana 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Digital de Teses e Dissertaçõeshttp://tede.mackenzie.br/jspui/PRI
dc.title.por.fl_str_mv Co-processador de periodogramas de exoplanetas baseado em cluster de Raspberry PI e MPI
title Co-processador de periodogramas de exoplanetas baseado em cluster de Raspberry PI e MPI
spellingShingle Co-processador de periodogramas de exoplanetas baseado em cluster de Raspberry PI e MPI
Gomes, Marco Antonio
cluster
curva de luz
processamento paralelo
CNPQ::CIENCIAS EXATAS E DA TERRA
title_short Co-processador de periodogramas de exoplanetas baseado em cluster de Raspberry PI e MPI
title_full Co-processador de periodogramas de exoplanetas baseado em cluster de Raspberry PI e MPI
title_fullStr Co-processador de periodogramas de exoplanetas baseado em cluster de Raspberry PI e MPI
title_full_unstemmed Co-processador de periodogramas de exoplanetas baseado em cluster de Raspberry PI e MPI
title_sort Co-processador de periodogramas de exoplanetas baseado em cluster de Raspberry PI e MPI
author Gomes, Marco Antonio
author_facet Gomes, Marco Antonio
author_role author
dc.contributor.advisor1.fl_str_mv Silva, Luciano
dc.contributor.advisor1Lattes.fl_str_mv http://lattes.cnpq.br/7514305376858192
dc.contributor.referee1.fl_str_mv Valio, Adriana Benetti Marques
dc.contributor.referee2.fl_str_mv Stringhi, Denise
dc.contributor.authorLattes.fl_str_mv http://lattes.cnpq.br/5562109803425697
dc.contributor.author.fl_str_mv Gomes, Marco Antonio
contributor_str_mv Silva, Luciano
Valio, Adriana Benetti Marques
Stringhi, Denise
dc.subject.por.fl_str_mv cluster
curva de luz
processamento paralelo
topic cluster
curva de luz
processamento paralelo
CNPQ::CIENCIAS EXATAS E DA TERRA
dc.subject.cnpq.fl_str_mv CNPQ::CIENCIAS EXATAS E DA TERRA
description This work presents and implements an architecture of a low cost cluster coprocessor, using Raspberry PI processors as hardware support and MPI (Message Passing Inter-face) processing distribution library. Under this architecture, periodogram computation acceleration software for planetary transits was implemented in Python and the speedup results for various light curves associated with exoplanets are analyzed.
publishDate 2021
dc.date.accessioned.fl_str_mv 2021-12-13T18:22:41Z
dc.date.available.fl_str_mv 2021-12-13T18:22:41Z
dc.date.issued.fl_str_mv 2021-02-08
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.citation.fl_str_mv GOMES, Marco Antonio. Co-processador de periodogramas de exoplanetas baseado em cluster de Raspberry PI e MPI. 2021. 47 f.. Dissertação (Ciências e Aplicações Geoespaciais) - Universidade Presbiteriana Mackenzie, São Paulo
dc.identifier.uri.fl_str_mv https://dspace.mackenzie.br/handle/10899/28425
identifier_str_mv GOMES, Marco Antonio. Co-processador de periodogramas de exoplanetas baseado em cluster de Raspberry PI e MPI. 2021. 47 f.. Dissertação (Ciências e Aplicações Geoespaciais) - Universidade Presbiteriana Mackenzie, São Paulo
url https://dspace.mackenzie.br/handle/10899/28425
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dc.rights.driver.fl_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0/
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rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Presbiteriana Mackenzie
dc.publisher.program.fl_str_mv Ciências e Aplicações Geoespaciais
dc.publisher.initials.fl_str_mv UPM
dc.publisher.country.fl_str_mv Brasil
dc.publisher.department.fl_str_mv Escola de Engenharia Mackenzie (EE)
publisher.none.fl_str_mv Universidade Presbiteriana Mackenzie
dc.source.none.fl_str_mv reponame:Biblioteca Digital de Teses e Dissertações do Mackenzie
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reponame_str Biblioteca Digital de Teses e Dissertações do Mackenzie
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