Experiences in processing MPI application in Condor environments

Autores
Martínez, Paula; Santos, Jorge Rubén; Millán Kujtiuk, Emmanuel; Catania, Carlos Adrián; Díaz, Francisco Javier; García Garino, Carlos
Año de publicación
2010
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
Condor is a middleware specially design to manage job queues in dedicated and non-dedicated infrastructure. Condor seems to be a suitable tool to be used when the lack of available dedicated resources represent an impediment to run large application problems. This paper discusses the use of Condor in processing MPI applications problems in homogeneous and heterogeneous pools of nodes. In particular several experiments with different computing and network usage have been performed. From these tests it is concluded that Condor introduces a negligible overhead and also allows to conform scalable pools of nodes with a good cost-benefit ratio.
Sociedad Argentina de Informática e Investigación Operativa
Materia
Ciencias Informáticas
MPI
Middleware
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:10915/152732

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spelling Experiences in processing MPI application in Condor environmentsMartínez, PaulaSantos, Jorge RubénMillán Kujtiuk, EmmanuelCatania, Carlos AdriánDíaz, Francisco JavierGarcía Garino, CarlosCiencias InformáticasMPIMiddlewareCondor is a middleware specially design to manage job queues in dedicated and non-dedicated infrastructure. Condor seems to be a suitable tool to be used when the lack of available dedicated resources represent an impediment to run large application problems. This paper discusses the use of Condor in processing MPI applications problems in homogeneous and heterogeneous pools of nodes. In particular several experiments with different computing and network usage have been performed. From these tests it is concluded that Condor introduces a negligible overhead and also allows to conform scalable pools of nodes with a good cost-benefit ratio.Sociedad Argentina de Informática e Investigación Operativa2010info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf3325-3340http://sedici.unlp.edu.ar/handle/10915/152732enginfo:eu-repo/semantics/altIdentifier/url/http://39jaiio.sadio.org.ar/sites/default/files/39jaiio-hpc-13.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:UNLP2025-09-10T12:41:59Zoai:sedici.unlp.edu.ar:10915/152732Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-10 12:41:59.642SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Experiences in processing MPI application in Condor environments
title Experiences in processing MPI application in Condor environments
spellingShingle Experiences in processing MPI application in Condor environments
Martínez, Paula
Ciencias Informáticas
MPI
Middleware
title_short Experiences in processing MPI application in Condor environments
title_full Experiences in processing MPI application in Condor environments
title_fullStr Experiences in processing MPI application in Condor environments
title_full_unstemmed Experiences in processing MPI application in Condor environments
title_sort Experiences in processing MPI application in Condor environments
dc.creator.none.fl_str_mv Martínez, Paula
Santos, Jorge Rubén
Millán Kujtiuk, Emmanuel
Catania, Carlos Adrián
Díaz, Francisco Javier
García Garino, Carlos
author Martínez, Paula
author_facet Martínez, Paula
Santos, Jorge Rubén
Millán Kujtiuk, Emmanuel
Catania, Carlos Adrián
Díaz, Francisco Javier
García Garino, Carlos
author_role author
author2 Santos, Jorge Rubén
Millán Kujtiuk, Emmanuel
Catania, Carlos Adrián
Díaz, Francisco Javier
García Garino, Carlos
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
MPI
Middleware
topic Ciencias Informáticas
MPI
Middleware
dc.description.none.fl_txt_mv Condor is a middleware specially design to manage job queues in dedicated and non-dedicated infrastructure. Condor seems to be a suitable tool to be used when the lack of available dedicated resources represent an impediment to run large application problems. This paper discusses the use of Condor in processing MPI applications problems in homogeneous and heterogeneous pools of nodes. In particular several experiments with different computing and network usage have been performed. From these tests it is concluded that Condor introduces a negligible overhead and also allows to conform scalable pools of nodes with a good cost-benefit ratio.
Sociedad Argentina de Informática e Investigación Operativa
description Condor is a middleware specially design to manage job queues in dedicated and non-dedicated infrastructure. Condor seems to be a suitable tool to be used when the lack of available dedicated resources represent an impediment to run large application problems. This paper discusses the use of Condor in processing MPI applications problems in homogeneous and heterogeneous pools of nodes. In particular several experiments with different computing and network usage have been performed. From these tests it is concluded that Condor introduces a negligible overhead and also allows to conform scalable pools of nodes with a good cost-benefit ratio.
publishDate 2010
dc.date.none.fl_str_mv 2010
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