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dc.date.accessioned 2014-04-08T17:46:32Z
dc.date.available 2014-04-08T17:46:32Z
dc.date.issued 2013-12
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/34500
dc.description.abstract With the technology advance and the growth of Internet, the information that can be found in this net, as well as the number of users that access to look for specific data is bigger. Therefore, it is desirable to have a search system that allows to retrieve information at a reasonable time and in an efficient way. In this paper we show two computing paradigms appropriate to apply in the treatment of large amounts of data consisting of objects such as images, text, sound and video, using hybrid computing over MPI+OpenMP and GPGPU. The proposal is developed through experience gained in the construction of various indexes and the subsequent search, through them, of multimedia objects. en
dc.format.extent 111-117 es
dc.language en es
dc.subject metric space en
dc.subject hybrid computation en
dc.subject GPU en
dc.subject index en
dc.subject parallel searching en
dc.title New technologies for big multimedia data treatment en
dc.type Articulo es
sedici.identifier.uri http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Dec13-1.pdf es
sedici.identifier.issn 1666-6038 es
sedici.creator.person Barrionuevo, Mercedes es
sedici.creator.person Britos, Luis es
sedici.creator.person Bustos, Fabricio H. es
sedici.creator.person Gil Costa, Graciela Verónica es
sedici.creator.person Lopresti, Mariela es
sedici.creator.person Mancini, Virginia es
sedici.creator.person Miranda, Natalia Carolina es
sedici.creator.person Ochoa, César es
sedici.creator.person Piccoli, María Fabiana es
sedici.creator.person Printista, Alicia Marcela es
sedici.creator.person Reyes, Nora Susana 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
sedici.relation.journalTitle Journal of Computer Science & Technology es
sedici.relation.journalVolumeAndIssue vol. 13, no. 3 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)