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Improving HPC applications scheduling with predictions based on automatically collected historical data
dc.contributor | Corbalán González, Julita |
dc.contributor.author | Fenoy García, Carlos |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors |
dc.date.accessioned | 2014-10-15T04:00:13Z |
dc.date.available | 2014-10-15T04:00:13Z |
dc.date.issued | 2014-09-03 |
dc.identifier.uri | http://hdl.handle.net/2099.1/23049 |
dc.description.abstract | This 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.iso | eng |
dc.publisher | Universitat Politècnica de Catalunya |
dc.subject.other | HPC |
dc.subject.other | scheduling |
dc.subject.other | performance monitoring |
dc.subject.other | historical data |
dc.subject.other | slurm |
dc.subject.other | perfminer |
dc.title | Improving HPC applications scheduling with predictions based on automatically collected historical data |
dc.type | Master thesis |
dc.identifier.slug | 99591 |
dc.rights.access | Open Access |
dc.date.updated | 2014-10-15T04:00:14Z |
dc.audience.educationlevel | Màster |
dc.audience.mediator | Facultat d'Informàtica de Barcelona |
dc.audience.degree | MÀSTER UNIVERSITARI EN ARQUITECTURA DE COMPUTADORS, XARXES I SISTEMES (Pla 2009) |