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dc.date.accessioned 2008-09-10T18:06:54Z
dc.date.available 2008-09-10T03:00:00Z
dc.date.issued 2008-04
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/9616
dc.description.abstract The TTIGHa model has been developed to model and predict the performance of parallel applications run over heterogeneous architectures. In addition, the task assignment algorithm was implemented to MATEHa processors based on the TTIGHa model. This paper analyzes the assignment algorithm robustness before different variations which the model parameters may undergo (basically, communication and processing times). en
dc.format.extent 1-7 es
dc.language en es
dc.subject cluster and multicluster architectures en
dc.subject Parallel processing es
dc.subject heterogeneous processor en
dc.subject Modeling and prediction es
dc.title Robustness analysis for the method of assignment MATEHa en
dc.type Articulo es
sedici.identifier.uri http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Apr08-1.pdf es
sedici.identifier.issn 1666-6038 es
sedici.creator.person De Giusti, Laura Cristina es
sedici.creator.person Chichizola, Franco es
sedici.creator.person Naiouf, Marcelo es
sedici.creator.person De Giusti, Armando Eduardo es
sedici.subject.materias Ciencias Informáticas es
sedici.description.fulltext true es
mods.originInfo.place Facultad de Informática es
sedici.subtype Articulo 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-ART-0000000725 es
sedici.relation.journalTitle Journal of Computer Science & Technology es
sedici.relation.journalVolumeAndIssue vol. 8, no. 1 es


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Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)