dc.creatorMartínez, Paula
dc.creatorSantos, Jorge Rubén
dc.creatorMillán Kujtiuk, Emmanuel
dc.creatorCatania, Carlos Adrián
dc.creatorDíaz, Francisco Javier
dc.creatorGarcía Garino, Carlos
dc.date2010
dc.date2010
dc.date2023-05-10T16:58:39Z
dc.date.accessioned2023-07-15T10:26:21Z
dc.date.available2023-07-15T10:26:21Z
dc.identifierhttp://sedici.unlp.edu.ar/handle/10915/152732
dc.identifierhttp://39jaiio.sadio.org.ar/sites/default/files/39jaiio-hpc-13.pdf
dc.identifierissn:1851-9326
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/7491867
dc.descriptionCondor 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.
dc.descriptionSociedad Argentina de Informática e Investigación Operativa
dc.formatapplication/pdf
dc.format3325-3340
dc.languageen
dc.rightshttp://creativecommons.org/licenses/by-nc-sa/4.0/
dc.rightsCreative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.subjectCiencias Informáticas
dc.subjectMPI
dc.subjectMiddleware
dc.titleExperiences in processing MPI application in Condor environments
dc.typeObjeto de conferencia
dc.typeObjeto de conferencia


Este ítem pertenece a la siguiente institución