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dc.date.accessioned 2008-05-26T17:09:08Z
dc.date.available 2008-05-26T03:00:00Z
dc.date.issued 2005-12
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/9608
dc.description.abstract In order to be able to perform multimedia searches (like sounds, videos, images, etc.) we have to use data structures 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.format.extent 299-304 es
dc.language en es
dc.subject multimedia searches en
dc.subject distances evaluations en
dc.title A parallel search algorithm for the SAT en
dc.type Articulo es
sedici.identifier.uri http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Dec05-21.pdf es
sedici.identifier.issn 1666-6038 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 Marin Cahiuan, Juan Mauricio es
sedici.subject.materias Ciencias Informáticas es
sedici.description.fulltext true es
mods.originInfo.place Facultad de Informática es
sedici.subtype Articulo es
sedici.rights.license Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)
sedici.rights.uri http://creativecommons.org/licenses/by-nc/3.0/
sedici.description.peerReview peer-review es
sedici2003.identifier ARG-UNLP-ART-0000000642 es
sedici.relation.journalTitle Journal of Computer Science & Technology es
sedici.relation.journalVolumeAndIssue vol. 5, no. 4 es


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Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)