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dc.date.accessioned 2013-12-04T16:54:55Z
dc.date.available 2013-12-04T16:54:55Z
dc.date.issued 2013-10
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/31728
dc.description.abstract The performance of the message-passing applications on a parallel system can vary and cause ine ciencies as the applications grow. With the aim of providing scalability behavior information of these applications on a speci c system, we propose a methodology that allows to analyze and predict the application behavior in a bounded time and using a limited number of resources. The proposed methodology is based on the fact that most scienti c applications have been developed using speci c communicational and computational patterns, which have certain behavior rules. As the number of application processes increases, these patterns change their behavior following speci c rules, being functionally constants. Our methodology is focused on characterizing these patterns to nd its general behavior rules, in order to build a logical application trace to predict its performance. The methodology uses the PAS2P tool to obtain the application behavior information, that allow us to analyze quickly a set of relevant phases covering approximately 95% of the total application. In this paper, we present the entire methodology while the experimental validation, that has been validated for the NAS benchmarks, is focused on characterizing the communication pattern for each phase and to model its general behavior rules to predict the pattern as the number of processes increases. en
dc.language other es
dc.subject prediction scalability en
dc.subject communication pattern en
dc.subject MPI applications en
dc.title Predicting the communication pattern evolution for scalability analysis en
dc.type Objeto de conferencia es
sedici.creator.person Panadero, Javier es
sedici.creator.person Wong, Alvaro es
sedici.creator.person Rexachs del Rosario, Dolores es
sedici.creator.person Luque Fadón, Emilio es
sedici.description.note WPDP- XIII Workshop procesamiento distribuido y paralelo 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.relation.event XVIII Congreso Argentino de Ciencias de la Computación es
sedici.description.peerReview peer-review 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)