Experiments in Parallel Constraint-Based Local Search

Detalhes bibliográficos
Autor(a) principal: Caniou, Yves
Data de Publicação: 2011
Outros Autores: Codognet, Philippe, Diaz, Daniel, Abreu, Salvador
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10174/4561
https://doi.org/10.1007/978-3-642-20364-0_9
Resumo: We present a parallel implementation of a constraint-based local search algorithm and investigate its performance results on hardware with several hundreds of processors. We choose as basic constraint solving algorithm for these experiments the ”adaptive search” method, an efficient sequential local search method for Constraint Satisfaction Problems. The implemented algorithm is a parallel version of adaptive search in a multiple independent-walk manner, that is, each process is an independent search engine and there is no communication between the simultaneous computations. Preliminary performance evaluation on a variety of classical CSPs benchmarks shows that speedups are very good for a few tens of processors, and good up to a few hundreds of processors.
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spelling Experiments in Parallel Constraint-Based Local SearchConstraint SatisfactionParallel ComputationWe present a parallel implementation of a constraint-based local search algorithm and investigate its performance results on hardware with several hundreds of processors. We choose as basic constraint solving algorithm for these experiments the ”adaptive search” method, an efficient sequential local search method for Constraint Satisfaction Problems. The implemented algorithm is a parallel version of adaptive search in a multiple independent-walk manner, that is, each process is an independent search engine and there is no communication between the simultaneous computations. Preliminary performance evaluation on a variety of classical CSPs benchmarks shows that speedups are very good for a few tens of processors, and good up to a few hundreds of processors.2012-01-30T16:05:34Z2012-01-302011-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10174/4561http://hdl.handle.net/10174/4561https://doi.org/10.1007/978-3-642-20364-0_9engYves Caniou and Philippe Codognet and Daniel Diaz and Salvador Abreu, Experiments in Parallel Constraint-Based Local Search, , Evolutionary Computation in Combinatorial Optimization - 11th European Conference (EvoCOP 2011), LNCS, Springer, Vol. 6622, Pag. 96-107, 2011.ndndndspa@di.uevora.ptCaniou, YvesCodognet, PhilippeDiaz, DanielAbreu, Salvadorinfo: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:RCAAP2024-01-03T18:42:42Zoai:dspace.uevora.pt:10174/4561Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T00:59:48.696187Repositório 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 Experiments in Parallel Constraint-Based Local Search
title Experiments in Parallel Constraint-Based Local Search
spellingShingle Experiments in Parallel Constraint-Based Local Search
Caniou, Yves
Constraint Satisfaction
Parallel Computation
title_short Experiments in Parallel Constraint-Based Local Search
title_full Experiments in Parallel Constraint-Based Local Search
title_fullStr Experiments in Parallel Constraint-Based Local Search
title_full_unstemmed Experiments in Parallel Constraint-Based Local Search
title_sort Experiments in Parallel Constraint-Based Local Search
author Caniou, Yves
author_facet Caniou, Yves
Codognet, Philippe
Diaz, Daniel
Abreu, Salvador
author_role author
author2 Codognet, Philippe
Diaz, Daniel
Abreu, Salvador
author2_role author
author
author
dc.contributor.author.fl_str_mv Caniou, Yves
Codognet, Philippe
Diaz, Daniel
Abreu, Salvador
dc.subject.por.fl_str_mv Constraint Satisfaction
Parallel Computation
topic Constraint Satisfaction
Parallel Computation
description We present a parallel implementation of a constraint-based local search algorithm and investigate its performance results on hardware with several hundreds of processors. We choose as basic constraint solving algorithm for these experiments the ”adaptive search” method, an efficient sequential local search method for Constraint Satisfaction Problems. The implemented algorithm is a parallel version of adaptive search in a multiple independent-walk manner, that is, each process is an independent search engine and there is no communication between the simultaneous computations. Preliminary performance evaluation on a variety of classical CSPs benchmarks shows that speedups are very good for a few tens of processors, and good up to a few hundreds of processors.
publishDate 2011
dc.date.none.fl_str_mv 2011-01-01T00:00:00Z
2012-01-30T16:05:34Z
2012-01-30
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/10174/4561
http://hdl.handle.net/10174/4561
https://doi.org/10.1007/978-3-642-20364-0_9
url http://hdl.handle.net/10174/4561
https://doi.org/10.1007/978-3-642-20364-0_9
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Yves Caniou and Philippe Codognet and Daniel Diaz and Salvador Abreu, Experiments in Parallel Constraint-Based Local Search, , Evolutionary Computation in Combinatorial Optimization - 11th European Conference (EvoCOP 2011), LNCS, Springer, Vol. 6622, Pag. 96-107, 2011.
nd
nd
nd
spa@di.uevora.pt
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