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dc.date.accessioned 2012-09-13T12:58:39Z
dc.date.available 2012-09-13T12:58:39Z
dc.date.issued 2009
dc.identifier.uri http://hdl.handle.net/10915/20915
dc.description.abstract The AMTHA (Automatic Mapping Task on Heterogeneous Architectures) algorithm for task-to-processors assignment and the MPAHA (Model of Parallel Algorithms on Heterogeneous Architectures) model are presented. The use of AMTHA is analyzed for multicore processor-based architectures, considering the communication model among processes in use. The results obtained in the tests carried out are presented, comparing the real execution times on multicores of a set of synthetic applications with the predictions obtained with AMTHA. Finally current lines of research are presented, focusing on clusters of multicores and hybrid programming paradigms en
dc.format.extent p. 272-281 es
dc.language en es
dc.title Automatic mapping tasks to cores en
dc.type Objeto de conferencia es
sedici.title.subtitle Evaluating AMTHA Algorithm in multicore architectures es
sedici.creator.person De Giusti, Laura Cristina es
sedici.creator.person Luque Fadón, Emilio es
sedici.creator.person Chichizola, Franco es
sedici.creator.person Naiouf, Marcelo es
sedici.creator.person De Giusti, Armando Eduardo es
sedici.description.note Presentado en el IX Workshop Procesamiento Distribuido y Paralelo (WPDP) es
sedici.subject.materias Ciencias Informáticas es
sedici.subject.keyword task-to-processor mapping en
sedici.subject.keyword performance prediction en
sedici.subject.keyword multicore architectures en
sedici.description.fulltext true es
mods.originInfo.place Red de Universidades con Carreras en Informática (RedUNCI) es
sedici.subtype Objeto de conferencia es
sedici.rights.license Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
sedici.rights.uri http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
sedici.date.exposure 2009-10
sedici.relation.event XV Congreso Argentino de Ciencias de la Computación es
sedici.description.peerReview peer-review es
sedici.subject.acmcss98 Parallel algorithms es
sedici.subject.acmcss98 Modeling and prediction es

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Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5) Except where otherwise noted, this item's license is described as Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)