dc.creatorDe Giusti, Laura Cristina
dc.creatorNaiouf, Marcelo
dc.creatorChichizola, Franco
dc.creatorLuque Fadón, Emilio
dc.creatorDe Giusti, Armando Eduardo
dc.date2009-10
dc.date2009
dc.date2012-09-13T11:45:49Z
dc.identifierhttp://sedici.unlp.edu.ar/handle/10915/20904
dc.descriptionA 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.
dc.descriptionPresentado en el IX Workshop Procesamiento Distribuido y Paralelo (WPDP).
dc.descriptionRed de Universidades con Carreras en Informática (RedUNCI)
dc.formatapplication/pdf
dc.format221-230
dc.languageen
dc.relationXV Congreso Argentino de Ciencias de la Computación
dc.rightshttp://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.rightsCreative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
dc.subjectCiencias Informáticas
dc.titleDynamic scheduling in heterogeneous multiprocessor architectures : Efficiency analysis
dc.typeObjeto de conferencia
dc.typeObjeto de conferencia


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