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
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/152732
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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 |
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2010 |
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eng |
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