A software tool for semi-automatic gridification of resource-intensive Java bytecodes and its application to ray tracing and sequence alignment

Autores
Mateos Diaz, Cristian Maximiliano; Zunino Suarez, Alejandro Octavio; Hirsch Jofré, Matías Eberardo; Fernández, Mariano; Campo, Marcelo Ricardo
Año de publicación
2011
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Computational Grids deliver the necessary computational infrastructure to perform resource-intensive computations such as the ones that solve the problems scientists are facing today. Exploiting Computational Grids comes at the expense of explicitly adapting the ordinary software implementing scientific problems to take advantage of Grid resources, which unavoidably requires knowledge on Grid programming. The recent notion of "gridifying" ordinary applications, which is based on semi-automatically deriving a Grid-aware version from the compiled code of a sequential application, promises users to be relieved from the requirement of manual usage of Grid APIs within their source codes. In this paper, we describe a novel gridification tool that allows users to easily parallelize Java applications on Grids. Extensive experiments with two real-world applications - ray tracing and sequence alignment - suggest that our approach provides a convenient balance between ease of gridification and Grid resource exploitation compared to manually using Grid APIs for gridifying ordinary applications.
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. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil; Argentina. Universidad Nacional del Centro de la Provincia de Buenos Aires; Argentina
Fil: Fernández, Mariano. Universidad Nacional del Centro de la Provincia de Buenos Aires; Argentina
Fil: Campo, Marcelo Ricardo. 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
Materia
AUTOMATIC PARALLELISM
COMPUTATIONAL GRIDS
GRIDIFICATION
JAVA BYTECODE
PARALLELIZATION HEURISTICS
RESOURCE-INTENSIVE APPLICATIONS
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:11336/95709
Acceder
id CONICETDig_8a89b0937034b2f5365e714b054e0f19
oai_identifier_str oai:ri.conicet.gov.ar:11336/95709
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling A software tool for semi-automatic gridification of resource-intensive Java bytecodes and its application to ray tracing and sequence alignmentMateos Diaz, Cristian MaximilianoZunino Suarez, Alejandro OctavioHirsch Jofré, Matías EberardoFernández, MarianoCampo, Marcelo RicardoAUTOMATIC PARALLELISMCOMPUTATIONAL GRIDSGRIDIFICATIONJAVA BYTECODEPARALLELIZATION HEURISTICSRESOURCE-INTENSIVE APPLICATIONShttps://purl.org/becyt/ford/1.2https://purl.org/becyt/ford/1Computational Grids deliver the necessary computational infrastructure to perform resource-intensive computations such as the ones that solve the problems scientists are facing today. Exploiting Computational Grids comes at the expense of explicitly adapting the ordinary software implementing scientific problems to take advantage of Grid resources, which unavoidably requires knowledge on Grid programming. The recent notion of "gridifying" ordinary applications, which is based on semi-automatically deriving a Grid-aware version from the compiled code of a sequential application, promises users to be relieved from the requirement of manual usage of Grid APIs within their source codes. In this paper, we describe a novel gridification tool that allows users to easily parallelize Java applications on Grids. Extensive experiments with two real-world applications - ray tracing and sequence alignment - suggest that our approach provides a convenient balance between ease of gridification and Grid resource exploitation compared to manually using Grid APIs for gridifying ordinary applications.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. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil; Argentina. Universidad Nacional del Centro de la Provincia de Buenos Aires; ArgentinaFil: Fernández, Mariano. Universidad Nacional del Centro de la Provincia de Buenos Aires; ArgentinaFil: Campo, Marcelo Ricardo. 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; ArgentinaElsevier2011-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/zipapplication/pdfhttp://hdl.handle.net/11336/95709Mateos Diaz, Cristian Maximiliano; Zunino Suarez, Alejandro Octavio; Hirsch Jofré, Matías Eberardo; Fernández, Mariano; Campo, Marcelo Ricardo; A software tool for semi-automatic gridification of resource-intensive Java bytecodes and its application to ray tracing and sequence alignment; Elsevier; Advances in Engineering Software; 42; 4; 4-2011; 172-1860965-9978CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.advengsoft.2011.02.003info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0965997811000184info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-10T13:02:54Zoai:ri.conicet.gov.ar:11336/95709instacron: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 13:02:54.371CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv A software tool for semi-automatic gridification of resource-intensive Java bytecodes and its application to ray tracing and sequence alignment
title A software tool for semi-automatic gridification of resource-intensive Java bytecodes and its application to ray tracing and sequence alignment
spellingShingle A software tool for semi-automatic gridification of resource-intensive Java bytecodes and its application to ray tracing and sequence alignment
Mateos Diaz, Cristian Maximiliano
AUTOMATIC PARALLELISM
COMPUTATIONAL GRIDS
GRIDIFICATION
JAVA BYTECODE
PARALLELIZATION HEURISTICS
RESOURCE-INTENSIVE APPLICATIONS
title_short A software tool for semi-automatic gridification of resource-intensive Java bytecodes and its application to ray tracing and sequence alignment
title_full A software tool for semi-automatic gridification of resource-intensive Java bytecodes and its application to ray tracing and sequence alignment
title_fullStr A software tool for semi-automatic gridification of resource-intensive Java bytecodes and its application to ray tracing and sequence alignment
title_full_unstemmed A software tool for semi-automatic gridification of resource-intensive Java bytecodes and its application to ray tracing and sequence alignment
title_sort A software tool for semi-automatic gridification of resource-intensive Java bytecodes and its application to ray tracing and sequence alignment
dc.creator.none.fl_str_mv Mateos Diaz, Cristian Maximiliano
Zunino Suarez, Alejandro Octavio
Hirsch Jofré, Matías Eberardo
Fernández, Mariano
Campo, Marcelo Ricardo
author Mateos Diaz, Cristian Maximiliano
author_facet Mateos Diaz, Cristian Maximiliano
Zunino Suarez, Alejandro Octavio
Hirsch Jofré, Matías Eberardo
Fernández, Mariano
Campo, Marcelo Ricardo
author_role author
author2 Zunino Suarez, Alejandro Octavio
Hirsch Jofré, Matías Eberardo
Fernández, Mariano
Campo, Marcelo Ricardo
author2_role author
author
author
author
dc.subject.none.fl_str_mv AUTOMATIC PARALLELISM
COMPUTATIONAL GRIDS
GRIDIFICATION
JAVA BYTECODE
PARALLELIZATION HEURISTICS
RESOURCE-INTENSIVE APPLICATIONS
topic AUTOMATIC PARALLELISM
COMPUTATIONAL GRIDS
GRIDIFICATION
JAVA BYTECODE
PARALLELIZATION HEURISTICS
RESOURCE-INTENSIVE APPLICATIONS
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.2
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Computational Grids deliver the necessary computational infrastructure to perform resource-intensive computations such as the ones that solve the problems scientists are facing today. Exploiting Computational Grids comes at the expense of explicitly adapting the ordinary software implementing scientific problems to take advantage of Grid resources, which unavoidably requires knowledge on Grid programming. The recent notion of "gridifying" ordinary applications, which is based on semi-automatically deriving a Grid-aware version from the compiled code of a sequential application, promises users to be relieved from the requirement of manual usage of Grid APIs within their source codes. In this paper, we describe a novel gridification tool that allows users to easily parallelize Java applications on Grids. Extensive experiments with two real-world applications - ray tracing and sequence alignment - suggest that our approach provides a convenient balance between ease of gridification and Grid resource exploitation compared to manually using Grid APIs for gridifying ordinary applications.
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. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil; Argentina. Universidad Nacional del Centro de la Provincia de Buenos Aires; Argentina
Fil: Fernández, Mariano. Universidad Nacional del Centro de la Provincia de Buenos Aires; Argentina
Fil: Campo, Marcelo Ricardo. 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
description Computational Grids deliver the necessary computational infrastructure to perform resource-intensive computations such as the ones that solve the problems scientists are facing today. Exploiting Computational Grids comes at the expense of explicitly adapting the ordinary software implementing scientific problems to take advantage of Grid resources, which unavoidably requires knowledge on Grid programming. The recent notion of "gridifying" ordinary applications, which is based on semi-automatically deriving a Grid-aware version from the compiled code of a sequential application, promises users to be relieved from the requirement of manual usage of Grid APIs within their source codes. In this paper, we describe a novel gridification tool that allows users to easily parallelize Java applications on Grids. Extensive experiments with two real-world applications - ray tracing and sequence alignment - suggest that our approach provides a convenient balance between ease of gridification and Grid resource exploitation compared to manually using Grid APIs for gridifying ordinary applications.
publishDate 2011
dc.date.none.fl_str_mv 2011-04
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/11336/95709
Mateos Diaz, Cristian Maximiliano; Zunino Suarez, Alejandro Octavio; Hirsch Jofré, Matías Eberardo; Fernández, Mariano; Campo, Marcelo Ricardo; A software tool for semi-automatic gridification of resource-intensive Java bytecodes and its application to ray tracing and sequence alignment; Elsevier; Advances in Engineering Software; 42; 4; 4-2011; 172-186
0965-9978
CONICET Digital
CONICET
url http://hdl.handle.net/11336/95709
identifier_str_mv Mateos Diaz, Cristian Maximiliano; Zunino Suarez, Alejandro Octavio; Hirsch Jofré, Matías Eberardo; Fernández, Mariano; Campo, Marcelo Ricardo; A software tool for semi-automatic gridification of resource-intensive Java bytecodes and its application to ray tracing and sequence alignment; Elsevier; Advances in Engineering Software; 42; 4; 4-2011; 172-186
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.2011.02.003
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0965997811000184
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/zip
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_ 1842980047418294272
score 12.993085

Publicaciones similares