A framework for scientific computing with GPUs

Detalhes bibliográficos
Autor(a) principal: Oliveira, Luís Miguel Picciochi de
Data de Publicação: 2012
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/7817
Resumo: Dissertação para obtenção do Grau de Mestre em Engenharia Informática
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spelling A framework for scientific computing with GPUsJob schedulingGPGPUOpenCLRun-time supportDistributed computingScientific computingDissertação para obtenção do Grau de Mestre em Engenharia InformáticaCommodity hardware nowadays includes not only many-core CPUs but also Graphics Processing Units (GPUs) whose highly data-parallel computational capabilities have been growing at an exponential rate. This computational power can be used for purposes other than graphics-oriented applications, like processor-intensive algorithms as found in the scientific computing setting. This thesis proposes a framework that is capable of distributing computational jobs over a network of CPUs and GPUs alike. The source code for each job is an OpenCL kernel, and thus universal and independent from the specific architecture and CPU/GPU type where it will be executed. This approach releases the software developer from the burden of specific, customized revisions of the same applications for each type of processor/hardware, at the cost of a possibly sub-optimal but still very efficient solution. The proposed run-time scales up as more and more powerful computing resources become available, with no need to recompile the application. Experiments allowed to conclude that, although performance improvement achievements clearly depend on the nature of the problem and how it is coded, speedups in a distributed system containing both GPUs and multi-core CPUs can be up to two orders of magnitude.Centro de Informática e Tecnologias da Informação(CITI), and Fundação para a Ciência e Tecnologia (FCT/MCTES)- research projects PTDC/EIA/74325/2006, PTDC/EIA-EIA/108963/2008, PTDC/EIA-EIA /102579/2008, and PTDC/EIA-EIA/113613/2009Faculdade de Ciências e TecnologiaLourenço, JoãoRUNOliveira, Luís Miguel Picciochi de2012-09-12T14:17:49Z20122012-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/7817enginfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T03:40:01Zoai:run.unl.pt:10362/7817Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:17:45.044327Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv A framework for scientific computing with GPUs
title A framework for scientific computing with GPUs
spellingShingle A framework for scientific computing with GPUs
Oliveira, Luís Miguel Picciochi de
Job scheduling
GPGPU
OpenCL
Run-time support
Distributed computing
Scientific computing
title_short A framework for scientific computing with GPUs
title_full A framework for scientific computing with GPUs
title_fullStr A framework for scientific computing with GPUs
title_full_unstemmed A framework for scientific computing with GPUs
title_sort A framework for scientific computing with GPUs
author Oliveira, Luís Miguel Picciochi de
author_facet Oliveira, Luís Miguel Picciochi de
author_role author
dc.contributor.none.fl_str_mv Lourenço, João
RUN
dc.contributor.author.fl_str_mv Oliveira, Luís Miguel Picciochi de
dc.subject.por.fl_str_mv Job scheduling
GPGPU
OpenCL
Run-time support
Distributed computing
Scientific computing
topic Job scheduling
GPGPU
OpenCL
Run-time support
Distributed computing
Scientific computing
description Dissertação para obtenção do Grau de Mestre em Engenharia Informática
publishDate 2012
dc.date.none.fl_str_mv 2012-09-12T14:17:49Z
2012
2012-01-01T00:00:00Z
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.uri.fl_str_mv http://hdl.handle.net/10362/7817
url http://hdl.handle.net/10362/7817
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Faculdade de Ciências e Tecnologia
publisher.none.fl_str_mv Faculdade de Ciências e Tecnologia
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
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