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dc.date.accessioned 2012-09-13T11:45:49Z
dc.date.available 2012-09-13T11:45:49Z
dc.date.issued 2009
dc.identifier.uri http://hdl.handle.net/10915/20904
dc.description.abstract A MPAHA (Model for Parallel Algorithms on Heterogeneous Architectures) model that allows predicting parallel application performance running over heterogeneous architectures is presented. MPAHA considers the heterogeneity of processors and communications. From the results obtained with the MPAHA model, the AMTHA (Automatic Mapping Task on Heterogeneous Architectures) algorithm for task-to-processors assignment is presented and its implementation is analyzed. DCS_AMTHA, a dynamic scheduling strategy for multiple applications on heterogeneous multiprocessor architectures, is defined and experimental results focusing on global efficiency are presented. Finally, current lines of research related with model extensions for clusters of multicores are mentioned. en
dc.format.extent p. 221-230 es
dc.language en es
dc.title Dynamic scheduling in heterogeneous multiprocessor architectures en
dc.type Objeto de conferencia es
sedici.title.subtitle Efficiency analysis es
sedici.creator.person De Giusti, Laura Cristina es
sedici.creator.person Naiouf, Marcelo es
sedici.creator.person Chichizola, Franco es
sedici.creator.person Luque Fadón, Emilio 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.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 Scheduling es
sedici.subject.acmcss98 Parallel algorithms es
sedici.subject.acmcss98 Distributed architectures 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)