Enhancing the BYG gridification tool with state-of-the-art Grid scheduling mechanisms and explicit tuning support

Autores
Mateos Diaz, Cristian Maximiliano; Zunino Suarez, Alejandro Octavio; Hirsch Jofré, Matías Eberardo; Fernández, Mariano
Año de publicación
2012
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Grid Computing allows scientists and engineers to run compute intensive experiments that were unfeasible not so long ago. On the downside, for users not proficient in distributed technologies, programming for Grids is difficult, tedious, time-consuming and error-prone. Then, disciplinary users typically waste precious time that could be instead invested into analyzing results. In a previous paper, we introduced BYG (Mateos et al., 2011) [28], a Java-based software that automatically parallelizes sequential applications by directly modifying their compiled codes. In addition, BYG is designed to harness Grid resources by reusing existing Grid platforms and schedulers. In its current shape, however, BYG lacks support for some state-of-the-art Grid schedulers and mechanisms for introducing application-dependent optimizations to parallelized codes. In this paper, we present several extensions to BYG aimed at overcoming these problems and thus improving its applicability and delivered efficiency. We also report experiments by using traditional computational kernels and real-life applications to show the positive practical implications of the proposed extensions.
Fil: Mateos Diaz, Cristian Maximiliano. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Instituto Superior de Ingeniería del Software. Universidad Nacional del Centro de la Provincia de Buenos Aires. Instituto Superior de Ingeniería del Software; Argentina
Fil: Zunino Suarez, Alejandro Octavio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Instituto Superior de Ingeniería del Software. Universidad Nacional del Centro de la Provincia de Buenos Aires. Instituto Superior de Ingeniería del Software; Argentina
Fil: Hirsch Jofré, Matías Eberardo. Universidad Nacional del Centro de la Provincia de Buenos Aires. Facultad de Ciencias Exactas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Fernández, Mariano. Universidad Nacional del Centro de la Provincia de Buenos Aires. Facultad de Ciencias Exactas; Argentina
Materia
BYG
GRID COMPUTING
GRIDGAIN
GRIDIFICATION
JAVA
POLICIES
SATIN
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/95710
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Enhancing the BYG gridification tool with state-of-the-art Grid scheduling mechanisms and explicit tuning supportMateos Diaz, Cristian MaximilianoZunino Suarez, Alejandro OctavioHirsch Jofré, Matías EberardoFernández, MarianoBYGGRID COMPUTINGGRIDGAINGRIDIFICATIONJAVAPOLICIESSATINhttps://purl.org/becyt/ford/1.2https://purl.org/becyt/ford/1Grid Computing allows scientists and engineers to run compute intensive experiments that were unfeasible not so long ago. On the downside, for users not proficient in distributed technologies, programming for Grids is difficult, tedious, time-consuming and error-prone. Then, disciplinary users typically waste precious time that could be instead invested into analyzing results. In a previous paper, we introduced BYG (Mateos et al., 2011) [28], a Java-based software that automatically parallelizes sequential applications by directly modifying their compiled codes. In addition, BYG is designed to harness Grid resources by reusing existing Grid platforms and schedulers. In its current shape, however, BYG lacks support for some state-of-the-art Grid schedulers and mechanisms for introducing application-dependent optimizations to parallelized codes. In this paper, we present several extensions to BYG aimed at overcoming these problems and thus improving its applicability and delivered efficiency. We also report experiments by using traditional computational kernels and real-life applications to show the positive practical implications of the proposed extensions.Fil: Mateos Diaz, Cristian Maximiliano. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Instituto Superior de Ingeniería del Software. Universidad Nacional del Centro de la Provincia de Buenos Aires. Instituto Superior de Ingeniería del Software; ArgentinaFil: Zunino Suarez, Alejandro Octavio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Instituto Superior de Ingeniería del Software. Universidad Nacional del Centro de la Provincia de Buenos Aires. Instituto Superior de Ingeniería del Software; ArgentinaFil: Hirsch Jofré, Matías Eberardo. Universidad Nacional del Centro de la Provincia de Buenos Aires. Facultad de Ciencias Exactas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Fernández, Mariano. Universidad Nacional del Centro de la Provincia de Buenos Aires. Facultad de Ciencias Exactas; ArgentinaElsevier2012-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/95710Mateos Diaz, Cristian Maximiliano; Zunino Suarez, Alejandro Octavio; Hirsch Jofré, Matías Eberardo; Fernández, Mariano; Enhancing the BYG gridification tool with state-of-the-art Grid scheduling mechanisms and explicit tuning support; Elsevier; Advances in Engineering Software; 43; 1; 1-2012; 27-430965-9978CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.advengsoft.2011.08.006info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0965997811002298info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-10T13:04:03Zoai:ri.conicet.gov.ar:11336/95710instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-10 13:04:03.368CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Enhancing the BYG gridification tool with state-of-the-art Grid scheduling mechanisms and explicit tuning support
title Enhancing the BYG gridification tool with state-of-the-art Grid scheduling mechanisms and explicit tuning support
spellingShingle Enhancing the BYG gridification tool with state-of-the-art Grid scheduling mechanisms and explicit tuning support
Mateos Diaz, Cristian Maximiliano
BYG
GRID COMPUTING
GRIDGAIN
GRIDIFICATION
JAVA
POLICIES
SATIN
title_short Enhancing the BYG gridification tool with state-of-the-art Grid scheduling mechanisms and explicit tuning support
title_full Enhancing the BYG gridification tool with state-of-the-art Grid scheduling mechanisms and explicit tuning support
title_fullStr Enhancing the BYG gridification tool with state-of-the-art Grid scheduling mechanisms and explicit tuning support
title_full_unstemmed Enhancing the BYG gridification tool with state-of-the-art Grid scheduling mechanisms and explicit tuning support
title_sort Enhancing the BYG gridification tool with state-of-the-art Grid scheduling mechanisms and explicit tuning support
dc.creator.none.fl_str_mv Mateos Diaz, Cristian Maximiliano
Zunino Suarez, Alejandro Octavio
Hirsch Jofré, Matías Eberardo
Fernández, Mariano
author Mateos Diaz, Cristian Maximiliano
author_facet Mateos Diaz, Cristian Maximiliano
Zunino Suarez, Alejandro Octavio
Hirsch Jofré, Matías Eberardo
Fernández, Mariano
author_role author
author2 Zunino Suarez, Alejandro Octavio
Hirsch Jofré, Matías Eberardo
Fernández, Mariano
author2_role author
author
author
dc.subject.none.fl_str_mv BYG
GRID COMPUTING
GRIDGAIN
GRIDIFICATION
JAVA
POLICIES
SATIN
topic BYG
GRID COMPUTING
GRIDGAIN
GRIDIFICATION
JAVA
POLICIES
SATIN
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.2
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Grid Computing allows scientists and engineers to run compute intensive experiments that were unfeasible not so long ago. On the downside, for users not proficient in distributed technologies, programming for Grids is difficult, tedious, time-consuming and error-prone. Then, disciplinary users typically waste precious time that could be instead invested into analyzing results. In a previous paper, we introduced BYG (Mateos et al., 2011) [28], a Java-based software that automatically parallelizes sequential applications by directly modifying their compiled codes. In addition, BYG is designed to harness Grid resources by reusing existing Grid platforms and schedulers. In its current shape, however, BYG lacks support for some state-of-the-art Grid schedulers and mechanisms for introducing application-dependent optimizations to parallelized codes. In this paper, we present several extensions to BYG aimed at overcoming these problems and thus improving its applicability and delivered efficiency. We also report experiments by using traditional computational kernels and real-life applications to show the positive practical implications of the proposed extensions.
Fil: Mateos Diaz, Cristian Maximiliano. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Instituto Superior de Ingeniería del Software. Universidad Nacional del Centro de la Provincia de Buenos Aires. Instituto Superior de Ingeniería del Software; Argentina
Fil: Zunino Suarez, Alejandro Octavio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Instituto Superior de Ingeniería del Software. Universidad Nacional del Centro de la Provincia de Buenos Aires. Instituto Superior de Ingeniería del Software; Argentina
Fil: Hirsch Jofré, Matías Eberardo. Universidad Nacional del Centro de la Provincia de Buenos Aires. Facultad de Ciencias Exactas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Fernández, Mariano. Universidad Nacional del Centro de la Provincia de Buenos Aires. Facultad de Ciencias Exactas; Argentina
description Grid Computing allows scientists and engineers to run compute intensive experiments that were unfeasible not so long ago. On the downside, for users not proficient in distributed technologies, programming for Grids is difficult, tedious, time-consuming and error-prone. Then, disciplinary users typically waste precious time that could be instead invested into analyzing results. In a previous paper, we introduced BYG (Mateos et al., 2011) [28], a Java-based software that automatically parallelizes sequential applications by directly modifying their compiled codes. In addition, BYG is designed to harness Grid resources by reusing existing Grid platforms and schedulers. In its current shape, however, BYG lacks support for some state-of-the-art Grid schedulers and mechanisms for introducing application-dependent optimizations to parallelized codes. In this paper, we present several extensions to BYG aimed at overcoming these problems and thus improving its applicability and delivered efficiency. We also report experiments by using traditional computational kernels and real-life applications to show the positive practical implications of the proposed extensions.
publishDate 2012
dc.date.none.fl_str_mv 2012-01
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/95710
Mateos Diaz, Cristian Maximiliano; Zunino Suarez, Alejandro Octavio; Hirsch Jofré, Matías Eberardo; Fernández, Mariano; Enhancing the BYG gridification tool with state-of-the-art Grid scheduling mechanisms and explicit tuning support; Elsevier; Advances in Engineering Software; 43; 1; 1-2012; 27-43
0965-9978
CONICET Digital
CONICET
url http://hdl.handle.net/11336/95710
identifier_str_mv Mateos Diaz, Cristian Maximiliano; Zunino Suarez, Alejandro Octavio; Hirsch Jofré, Matías Eberardo; Fernández, Mariano; Enhancing the BYG gridification tool with state-of-the-art Grid scheduling mechanisms and explicit tuning support; Elsevier; Advances in Engineering Software; 43; 1; 1-2012; 27-43
0965-9978
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1016/j.advengsoft.2011.08.006
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0965997811002298
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1842980124767551488
score 12.993085

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