Towards a Parallel Hierarchical Adaptive Solver Tool

Detalhes bibliográficos
Autor(a) principal: Abreu, Salvador
Data de Publicação: 2014
Outros Autores: Munera, Danny, Diaz, Daniel
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10174/17897
Resumo: Constraint satisfaction and combinatorial optimization problems, even when modeled with efficient metaheurisics such as local search remain computationally very intensive. Solvers stand to benefit significantly from execution on parallel systems, which are increasingly available. The architectural diversity and complexity of the latter means that these systems pose ever greater challenges in order to be effectively used, both from the point of view of the modeling effort and from that of the degree of coverage of the available computing ...
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spelling Towards a Parallel Hierarchical Adaptive Solver ToolConstraint satisfaction and combinatorial optimization problems, even when modeled with efficient metaheurisics such as local search remain computationally very intensive. Solvers stand to benefit significantly from execution on parallel systems, which are increasingly available. The architectural diversity and complexity of the latter means that these systems pose ever greater challenges in order to be effectively used, both from the point of view of the modeling effort and from that of the degree of coverage of the available computing ...T.U. Wien2016-03-10T11:11:41Z2016-03-102014-07-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10174/17897http://hdl.handle.net/10174/17897engSalvador Abreu, Danny Munera, Daniel Diaz. Towards a Parallel Hierarchical Adaptive Solver Tool. Workshop on Parallel Methods for Search & Optimization (ParSearchOpt14), Jul 2014, Vienna, Austria. <hal-01195526>https://hal-paris1.archives-ouvertes.fr/hal-01195526/salvador.abreu@acm.orgndnd283Abreu, SalvadorMunera, DannyDiaz, Danielinfo: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:RCAAP2024-01-03T19:05:26Zoai:dspace.uevora.pt:10174/17897Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:09:48.185431Repositório 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 Towards a Parallel Hierarchical Adaptive Solver Tool
title Towards a Parallel Hierarchical Adaptive Solver Tool
spellingShingle Towards a Parallel Hierarchical Adaptive Solver Tool
Abreu, Salvador
title_short Towards a Parallel Hierarchical Adaptive Solver Tool
title_full Towards a Parallel Hierarchical Adaptive Solver Tool
title_fullStr Towards a Parallel Hierarchical Adaptive Solver Tool
title_full_unstemmed Towards a Parallel Hierarchical Adaptive Solver Tool
title_sort Towards a Parallel Hierarchical Adaptive Solver Tool
author Abreu, Salvador
author_facet Abreu, Salvador
Munera, Danny
Diaz, Daniel
author_role author
author2 Munera, Danny
Diaz, Daniel
author2_role author
author
dc.contributor.author.fl_str_mv Abreu, Salvador
Munera, Danny
Diaz, Daniel
description Constraint satisfaction and combinatorial optimization problems, even when modeled with efficient metaheurisics such as local search remain computationally very intensive. Solvers stand to benefit significantly from execution on parallel systems, which are increasingly available. The architectural diversity and complexity of the latter means that these systems pose ever greater challenges in order to be effectively used, both from the point of view of the modeling effort and from that of the degree of coverage of the available computing ...
publishDate 2014
dc.date.none.fl_str_mv 2014-07-01T00:00:00Z
2016-03-10T11:11:41Z
2016-03-10
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10174/17897
http://hdl.handle.net/10174/17897
url http://hdl.handle.net/10174/17897
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Salvador Abreu, Danny Munera, Daniel Diaz. Towards a Parallel Hierarchical Adaptive Solver Tool. Workshop on Parallel Methods for Search & Optimization (ParSearchOpt14), Jul 2014, Vienna, Austria. <hal-01195526>
https://hal-paris1.archives-ouvertes.fr/hal-01195526/
salvador.abreu@acm.org
nd
nd
283
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv T.U. Wien
publisher.none.fl_str_mv T.U. Wien
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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