An approach for non-intrusively adding malleable fork/join parallelism into ordinary JavaBean compliant applications

Autores
Mateos Diaz, Cristian Maximiliano; Zunino Suarez, Alejandro Octavio; Campo, Marcelo Ricardo
Año de publicación
2010
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Motivated by the advent of powerful hardware such as SMP machines and execution environments such as Grids, research in parallel programming has gained much attention within the distributed computing community. There is a substantial body of efforts in the form of parallel libraries and frameworks that supply developers with programming tools to exploit parallelism in their applications. Still, many of these efforts prioritize performance over other important characteristics such as code invasiveness, ease of use and independence of the underlying executing hardware/environment. In this paper, we present EasyFJP, a new approach for semi-automatically injecting parallelism into sequential Java applications that offers a convenient balance to these four aspects. EasyFJP is based upon the popular fork/join parallel pattern, and combines implicit, application-level parallelism with explicit, non-invasive application tuning. Experiments performed with several classic CPU-intensive benchmarks and a real-world application confirm that EasyFJP effectively addresses these problems while delivers very competitive performance.
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: 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
FORK-JOIN PARALLELISM
IMPLICIT PARALLELISM
JAVA
NON-INVASIVE TUNING
PARALLEL COMPUTING
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/96681
Acceder
id CONICETDig_dc8644b2095cea2bb791409846bdc87f
oai_identifier_str oai:ri.conicet.gov.ar:11336/96681
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling An approach for non-intrusively adding malleable fork/join parallelism into ordinary JavaBean compliant applicationsMateos Diaz, Cristian MaximilianoZunino Suarez, Alejandro OctavioCampo, Marcelo RicardoFORK-JOIN PARALLELISMIMPLICIT PARALLELISMJAVANON-INVASIVE TUNINGPARALLEL COMPUTINGhttps://purl.org/becyt/ford/1.2https://purl.org/becyt/ford/1Motivated by the advent of powerful hardware such as SMP machines and execution environments such as Grids, research in parallel programming has gained much attention within the distributed computing community. There is a substantial body of efforts in the form of parallel libraries and frameworks that supply developers with programming tools to exploit parallelism in their applications. Still, many of these efforts prioritize performance over other important characteristics such as code invasiveness, ease of use and independence of the underlying executing hardware/environment. In this paper, we present EasyFJP, a new approach for semi-automatically injecting parallelism into sequential Java applications that offers a convenient balance to these four aspects. EasyFJP is based upon the popular fork/join parallel pattern, and combines implicit, application-level parallelism with explicit, non-invasive application tuning. Experiments performed with several classic CPU-intensive benchmarks and a real-world application confirm that EasyFJP effectively addresses these problems while delivers very competitive performance.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: 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; ArgentinaPergamon-Elsevier Science Ltd2010-10info: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/11336/96681Mateos Diaz, Cristian Maximiliano; Zunino Suarez, Alejandro Octavio; Campo, Marcelo Ricardo; An approach for non-intrusively adding malleable fork/join parallelism into ordinary JavaBean compliant applications; Pergamon-Elsevier Science Ltd; Computer Languages Systems & Structures; 36; 3; 10-2010; 288-3151477-8424CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.cl.2009.12.003info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S1477842410000035info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-22T11:59:41Zoai:ri.conicet.gov.ar:11336/96681instacron: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:34982025-10-22 11:59:42.258CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv An approach for non-intrusively adding malleable fork/join parallelism into ordinary JavaBean compliant applications
title An approach for non-intrusively adding malleable fork/join parallelism into ordinary JavaBean compliant applications
spellingShingle An approach for non-intrusively adding malleable fork/join parallelism into ordinary JavaBean compliant applications
Mateos Diaz, Cristian Maximiliano
FORK-JOIN PARALLELISM
IMPLICIT PARALLELISM
JAVA
NON-INVASIVE TUNING
PARALLEL COMPUTING
title_short An approach for non-intrusively adding malleable fork/join parallelism into ordinary JavaBean compliant applications
title_full An approach for non-intrusively adding malleable fork/join parallelism into ordinary JavaBean compliant applications
title_fullStr An approach for non-intrusively adding malleable fork/join parallelism into ordinary JavaBean compliant applications
title_full_unstemmed An approach for non-intrusively adding malleable fork/join parallelism into ordinary JavaBean compliant applications
title_sort An approach for non-intrusively adding malleable fork/join parallelism into ordinary JavaBean compliant applications
dc.creator.none.fl_str_mv Mateos Diaz, Cristian Maximiliano
Zunino Suarez, Alejandro Octavio
Campo, Marcelo Ricardo
author Mateos Diaz, Cristian Maximiliano
author_facet Mateos Diaz, Cristian Maximiliano
Zunino Suarez, Alejandro Octavio
Campo, Marcelo Ricardo
author_role author
author2 Zunino Suarez, Alejandro Octavio
Campo, Marcelo Ricardo
author2_role author
author
dc.subject.none.fl_str_mv FORK-JOIN PARALLELISM
IMPLICIT PARALLELISM
JAVA
NON-INVASIVE TUNING
PARALLEL COMPUTING
topic FORK-JOIN PARALLELISM
IMPLICIT PARALLELISM
JAVA
NON-INVASIVE TUNING
PARALLEL COMPUTING
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.2
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Motivated by the advent of powerful hardware such as SMP machines and execution environments such as Grids, research in parallel programming has gained much attention within the distributed computing community. There is a substantial body of efforts in the form of parallel libraries and frameworks that supply developers with programming tools to exploit parallelism in their applications. Still, many of these efforts prioritize performance over other important characteristics such as code invasiveness, ease of use and independence of the underlying executing hardware/environment. In this paper, we present EasyFJP, a new approach for semi-automatically injecting parallelism into sequential Java applications that offers a convenient balance to these four aspects. EasyFJP is based upon the popular fork/join parallel pattern, and combines implicit, application-level parallelism with explicit, non-invasive application tuning. Experiments performed with several classic CPU-intensive benchmarks and a real-world application confirm that EasyFJP effectively addresses these problems while delivers very competitive performance.
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: 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 Motivated by the advent of powerful hardware such as SMP machines and execution environments such as Grids, research in parallel programming has gained much attention within the distributed computing community. There is a substantial body of efforts in the form of parallel libraries and frameworks that supply developers with programming tools to exploit parallelism in their applications. Still, many of these efforts prioritize performance over other important characteristics such as code invasiveness, ease of use and independence of the underlying executing hardware/environment. In this paper, we present EasyFJP, a new approach for semi-automatically injecting parallelism into sequential Java applications that offers a convenient balance to these four aspects. EasyFJP is based upon the popular fork/join parallel pattern, and combines implicit, application-level parallelism with explicit, non-invasive application tuning. Experiments performed with several classic CPU-intensive benchmarks and a real-world application confirm that EasyFJP effectively addresses these problems while delivers very competitive performance.
publishDate 2010
dc.date.none.fl_str_mv 2010-10
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/11336/96681
Mateos Diaz, Cristian Maximiliano; Zunino Suarez, Alejandro Octavio; Campo, Marcelo Ricardo; An approach for non-intrusively adding malleable fork/join parallelism into ordinary JavaBean compliant applications; Pergamon-Elsevier Science Ltd; Computer Languages Systems & Structures; 36; 3; 10-2010; 288-315
1477-8424
CONICET Digital
CONICET
url http://hdl.handle.net/11336/96681
identifier_str_mv Mateos Diaz, Cristian Maximiliano; Zunino Suarez, Alejandro Octavio; Campo, Marcelo Ricardo; An approach for non-intrusively adding malleable fork/join parallelism into ordinary JavaBean compliant applications; Pergamon-Elsevier Science Ltd; Computer Languages Systems & Structures; 36; 3; 10-2010; 288-315
1477-8424
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.cl.2009.12.003
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S1477842410000035
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Pergamon-Elsevier Science Ltd
publisher.none.fl_str_mv Pergamon-Elsevier Science Ltd
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_ 1846782318867382272
score 12.982451

Publicaciones similares