Environment for the Automatic Development and Tuning of Parallel Genetic Algorithms

Autores
Caymes-Scutari, Paola; Bianchini, Germán
Año de publicación
2011
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
The use of high performance computing has been gaining more and more followers in the different branches of Science and Engineering given the potential offered to deal with complex and big problems, and the increasing economic facilities to configure some kind of parallel machine. However, the parallel programming paradigm involves additional aspects to the merely functional which could provoke different kinds of bottlenecks in the performance of the applications. Such difficulties may represent critical obstacles specially for the non-expert users. In this paper we present an environment to provide general support for the automatic development and tuning of parallel applications. The environment provides an interface to guide the user in the specification of the problem and the solution, which makes transparent the process of code generation and instrumentation. Because the parallelization of any problem/solution is hard to generalize, the environment tackles different classes of problems. In this article, we introduce the class of Parallel Genetic Algorithms.
Sociedad Argentina de Informática e Investigación Operativa
Materia
Ciencias Informáticas
Parallel Genetic Algorithms
Automatic Development
Tuning
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/126115
Acceder
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network_name_str SEDICI (UNLP)
spelling Environment for the Automatic Development and Tuning of Parallel Genetic AlgorithmsCaymes-Scutari, PaolaBianchini, GermánCiencias InformáticasParallel Genetic AlgorithmsAutomatic DevelopmentTuningThe use of high performance computing has been gaining more and more followers in the different branches of Science and Engineering given the potential offered to deal with complex and big problems, and the increasing economic facilities to configure some kind of parallel machine. However, the parallel programming paradigm involves additional aspects to the merely functional which could provoke different kinds of bottlenecks in the performance of the applications. Such difficulties may represent critical obstacles specially for the non-expert users. In this paper we present an environment to provide general support for the automatic development and tuning of parallel applications. The environment provides an interface to guide the user in the specification of the problem and the solution, which makes transparent the process of code generation and instrumentation. Because the parallelization of any problem/solution is hard to generalize, the environment tackles different classes of problems. In this article, we introduce the class of Parallel Genetic Algorithms.Sociedad Argentina de Informática e Investigación Operativa2011-08info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf17-20http://sedici.unlp.edu.ar/handle/10915/126115enginfo:eu-repo/semantics/altIdentifier/url/https://40jaiio.sadio.org.ar/sites/default/files/T2011/HPC/714.pdfinfo:eu-repo/semantics/altIdentifier/issn/1851-9326info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-10T12:33:05Zoai:sedici.unlp.edu.ar:10915/126115Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-10 12:33:05.871SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Environment for the Automatic Development and Tuning of Parallel Genetic Algorithms
title Environment for the Automatic Development and Tuning of Parallel Genetic Algorithms
spellingShingle Environment for the Automatic Development and Tuning of Parallel Genetic Algorithms
Caymes-Scutari, Paola
Ciencias Informáticas
Parallel Genetic Algorithms
Automatic Development
Tuning
title_short Environment for the Automatic Development and Tuning of Parallel Genetic Algorithms
title_full Environment for the Automatic Development and Tuning of Parallel Genetic Algorithms
title_fullStr Environment for the Automatic Development and Tuning of Parallel Genetic Algorithms
title_full_unstemmed Environment for the Automatic Development and Tuning of Parallel Genetic Algorithms
title_sort Environment for the Automatic Development and Tuning of Parallel Genetic Algorithms
dc.creator.none.fl_str_mv Caymes-Scutari, Paola
Bianchini, Germán
author Caymes-Scutari, Paola
author_facet Caymes-Scutari, Paola
Bianchini, Germán
author_role author
author2 Bianchini, Germán
author2_role author
dc.subject.none.fl_str_mv Ciencias Informáticas
Parallel Genetic Algorithms
Automatic Development
Tuning
topic Ciencias Informáticas
Parallel Genetic Algorithms
Automatic Development
Tuning
dc.description.none.fl_txt_mv The use of high performance computing has been gaining more and more followers in the different branches of Science and Engineering given the potential offered to deal with complex and big problems, and the increasing economic facilities to configure some kind of parallel machine. However, the parallel programming paradigm involves additional aspects to the merely functional which could provoke different kinds of bottlenecks in the performance of the applications. Such difficulties may represent critical obstacles specially for the non-expert users. In this paper we present an environment to provide general support for the automatic development and tuning of parallel applications. The environment provides an interface to guide the user in the specification of the problem and the solution, which makes transparent the process of code generation and instrumentation. Because the parallelization of any problem/solution is hard to generalize, the environment tackles different classes of problems. In this article, we introduce the class of Parallel Genetic Algorithms.
Sociedad Argentina de Informática e Investigación Operativa
description The use of high performance computing has been gaining more and more followers in the different branches of Science and Engineering given the potential offered to deal with complex and big problems, and the increasing economic facilities to configure some kind of parallel machine. However, the parallel programming paradigm involves additional aspects to the merely functional which could provoke different kinds of bottlenecks in the performance of the applications. Such difficulties may represent critical obstacles specially for the non-expert users. In this paper we present an environment to provide general support for the automatic development and tuning of parallel applications. The environment provides an interface to guide the user in the specification of the problem and the solution, which makes transparent the process of code generation and instrumentation. Because the parallelization of any problem/solution is hard to generalize, the environment tackles different classes of problems. In this article, we introduce the class of Parallel Genetic Algorithms.
publishDate 2011
dc.date.none.fl_str_mv 2011-08
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status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/126115
url http://sedici.unlp.edu.ar/handle/10915/126115
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://40jaiio.sadio.org.ar/sites/default/files/T2011/HPC/714.pdf
info:eu-repo/semantics/altIdentifier/issn/1851-9326
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
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eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
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instname_str Universidad Nacional de La Plata
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repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
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