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Mostrar registro sencillo 2012-09-13T12:53:19Z 2012-09-13T12:53:19Z 2009
dc.description.abstract The goal of this work is to execute SPMD applications efficiently on heterogeneous environments. Applications used to test our work are designed with message-passing interface to communicate and are developed to be executed in a single core cluster. However, we create a methodology to execute e fficiently these SPMD applications over heterogeneous architectures. The SPMD applications are selected because they present high level of synchronism and communications; both elements could generate challenges when we want to obtain our objec- tive, which is de ned as to obtain an improvement in the execution time while maintaining the e fficiency level over a threshold defi ned by programmer, taking into consideration the communications heterogeneities present in a multicore cluster. This objective is achieved using a map-ping and scheduling strategies included in our methodology. Finally, the results obtained show an improvement around 40% in the best case of effi ciency in SPMD applications tested, when our methodology is applied. en
dc.format.extent p. 262-271 es
dc.language en en
dc.title Could be improved the efficiency of SPMD applications on heterogeneous environments? en
dc.type Objeto de conferencia es
sedici.creator.person Muresano, Ronal es
sedici.creator.person Rexachs del Rosario, Dolores es
sedici.creator.person Luque Fadón, Emilio es
sedici.description.note Presentado en el IX Workshop Procesamiento Distribuido y Paralelo (WPDP) es
sedici.subject.materias Ciencias Informáticas es
sedici.subject.keyword SPMD applications en
sedici.subject.keyword mapping and scheduling strategies en
sedici.description.fulltext true es 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 2009-10
sedici.relation.event XV Congreso Argentino de Ciencias de la Computación es
sedici.description.peerReview peer-review es
sedici.subject.acmcss98 Environments es
sedici.subject.acmcss98 Microprocessor/microcomputer applications es

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Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)