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Improving HPC applications scheduling with predictions based on automatically collected historical data

dc.contributorCorbalán González, Julita
dc.contributor.authorFenoy García, Carlos
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors
dc.date.accessioned2014-10-15T04:00:13Z
dc.date.available2014-10-15T04:00:13Z
dc.date.issued2014-09-03
dc.identifier.urihttp://hdl.handle.net/2099.1/23049
dc.description.abstractThis work analyses the benefits of a system in an HPC environment, which being able to get real performance data from jobs, uses it for future scheduling in order to improve the performance of the applications with minimal user input.
dc.language.isoeng
dc.publisherUniversitat Politècnica de Catalunya
dc.subject.otherHPC
dc.subject.otherscheduling
dc.subject.otherperformance monitoring
dc.subject.otherhistorical data
dc.subject.otherslurm
dc.subject.otherperfminer
dc.titleImproving HPC applications scheduling with predictions based on automatically collected historical data
dc.typeMaster thesis
dc.identifier.slug99591
dc.rights.accessOpen Access
dc.date.updated2014-10-15T04:00:14Z
dc.audience.educationlevelMàster
dc.audience.mediatorFacultat d'Informàtica de Barcelona
dc.audience.degreeMÀSTER UNIVERSITARI EN ARQUITECTURA DE COMPUTADORS, XARXES I SISTEMES (Pla 2009)


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