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dc.date.accessioned 2012-10-03T18:09:05Z
dc.date.available 2012-10-03T18:09:05Z
dc.date.issued 2008
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/21981
dc.description.abstract A DNA sequence analysis parallelization in large databases using cluster, multi-cluster, and GRID is presented. Achievable speedup, scalability, and overhead introduced by communications are discussed, and the impact of the Grid middleware on the performance obtained with clusters is detailed. The experimental work carried out with homogeneous and heterogeneous clusters is presented, along with a comparison of the results obtained when migrating the algorithms to a GRID. Finally, current lines of work related to the study of models and paradigms for the resolution of parallel algorithms on GRID architectures are presented. en
dc.language en es
dc.subject Parallel algorithms es
dc.subject Distributed databases es
dc.subject Clustering es
dc.title Parallel processing DNA sequences on multicluster and grid architectures en
dc.type Objeto de conferencia es
sedici.title.subtitle Software overhead en
sedici.creator.person Chichizola, Franco es
sedici.creator.person Naiouf, Marcelo es
sedici.creator.person De Giusti, Laura Cristina es
sedici.creator.person Rodriguez, Ismael Pablo es
sedici.creator.person De Giusti, Armando Eduardo es
sedici.description.note Workshop de 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 2008-10
sedici.relation.event XIV 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) 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)