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dc.date.accessioned 2012-10-29T17:06:36Z
dc.date.available 2012-10-29T17:06:36Z
dc.date.issued 2005-10
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/23169
dc.description.abstract In order to be able to perform multimedia searches (like sounds, videos, images, etc.) we have to use data strucures like the Spatial Approximation Tree (SAT). This structure is a nice example of a tree structure in which well-known tricks for tree parallelization simply do not work. It is too sparse, unbalanced and its performance is too dependent on the work-load generated by the queries being solved by means of searching the tree. The complexity measure is given by the number of distances computed to retrieve those objects close enough to the query. In this paper we examine some alternatives to parallelize this structure through the MPI library and the BSPpub library en
dc.language en es
dc.subject SAT en
dc.subject Search process es
dc.subject Parallel algorithms es
dc.subject metric spaces en
dc.subject MPI en
dc.subject BSP en
dc.title A parallel search algorithm for the SAT en
dc.type Objeto de conferencia es
sedici.creator.person Gil Costa, Graciela Verónica es
sedici.creator.person Printista, Alicia Marcela es
sedici.creator.person Reyes, Nora Susana es
sedici.creator.person Marín, Mauricio es
sedici.description.note VI 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 2005-10
sedici.relation.event XI 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)