Environment for the Automatic Development and Tuning of Parallel Genetic Algorithms

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 paral...

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Autores principales: Caymes-Scutari, Paola, Bianchini, Germán
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2011
Materias:
Ciencias Informáticas
Parallel Genetic Algorithms
Automatic Development
Tuning
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/126115
https://40jaiio.sadio.org.ar/sites/default/files/T2011/HPC/714.pdf
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-126115
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
Parallel Genetic Algorithms
Automatic Development
Tuning
spellingShingle Ciencias Informáticas
Parallel Genetic Algorithms
Automatic Development
Tuning
Caymes-Scutari, Paola
Bianchini, Germán
Environment for the Automatic Development and Tuning of Parallel Genetic Algorithms
topic_facet Ciencias Informáticas
Parallel Genetic Algorithms
Automatic Development
Tuning
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.
format Objeto de conferencia
Objeto de conferencia
author Caymes-Scutari, Paola
Bianchini, Germán
author_facet Caymes-Scutari, Paola
Bianchini, Germán
author_sort Caymes-Scutari, Paola
title Environment for the Automatic Development and Tuning of Parallel Genetic Algorithms
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
publishDate 2011
url http://sedici.unlp.edu.ar/handle/10915/126115
https://40jaiio.sadio.org.ar/sites/default/files/T2011/HPC/714.pdf
work_keys_str_mv AT caymesscutaripaola environmentfortheautomaticdevelopmentandtuningofparallelgeneticalgorithms
AT bianchinigerman environmentfortheautomaticdevelopmentandtuningofparallelgeneticalgorithms
bdutipo_str Repositorios
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