Upload resources

Upload your works to SEDICI to increase its visibility and improve its impact

 

Show simple item record

dc.date.accessioned 2012-04-09T17:40:12Z
dc.date.available 2012-04-09T03:00:00Z
dc.date.issued 2012-04
dc.identifier.uri https://sedici.unlp.edu.ar/handle/10915/9714
dc.description.abstract This work describes a novel way to select the best computer node out of a pool of available potentially heterogeneous computing nodes for the execution of computational tasks. This is a very basic and difficult problem of computer science and computing centres tried to get around it by using only homogeneous compute clusters. Usually this fails as like any technical equipment, clusters get extended, adapted or repaired over time, and you end up with a heterogeneous configuration. en
dc.format.extent 41-42 es
dc.language en es
dc.subject Clustering es
dc.subject task en
dc.subject node en
dc.title Performance Evaluation of Applications for Heterogeneous Systems by means of Performance Probes en
dc.type Articulo es
sedici.identifier.uri http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Apr12-TO2.pdf es
sedici.identifier.issn 1666-6038 es
sedici.creator.person Strube, Alexandre Otto es
sedici.description.note Resumen de la tesis doctoral presentada por el autor. es
sedici.subject.materias Informática es
sedici.description.fulltext true es
mods.originInfo.place Facultad de Informática es
sedici.subtype Revision es
sedici.rights.license Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)
sedici.rights.uri http://creativecommons.org/licenses/by-nc/3.0/
sedici.description.peerReview peer-review es
sedici2003.identifier ARG-UNLP-REV-0000000552 es
sedici.relation.journalTitle Journal of Computer Science & Technology es
sedici.relation.journalVolumeAndIssue vol. 12, no. 1 es


Download Files

This item appears in the following Collection(s)

Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0) Except where otherwise noted, this item's license is described as Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)