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Improving NNMFPACK with heterogeneous and efficient kernels for ß-divergence metrics

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Improving NNMFPACK with heterogeneous and efficient kernels for ß-divergence metrics

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Nombre: N. Díaz-Gracia;A. ...
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dc.contributor.author Díaz-Gracia, N. es_ES
dc.contributor.author Cocaña-Fernández, A. es_ES
dc.contributor.author Alonso-González, M: es_ES
dc.contributor.author Martínez Zaldívar, Francisco José es_ES
dc.contributor.author Cortina, Raquel es_ES
dc.contributor.author García Mollá, Víctor Manuel es_ES
dc.contributor.author Alonso, P. es_ES
dc.contributor.author Ranilla, J. es_ES
dc.contributor.author Vidal Maciá, Antonio Manuel es_ES
dc.date.accessioned 2016-10-11T07:42:53Z
dc.date.available 2016-10-11T07:42:53Z
dc.date.issued 2015-05
dc.identifier.issn 1573-0484
dc.identifier.uri http://hdl.handle.net/10251/71595
dc.description.abstract NnmfPack is a library for the nonnegative matrix factorization (NNMF) problem. Nowadays NNMF is an essential tool in many fields spanning machine learning, data analysis, image analysis or audio source separation, among others. NnmfPack is an efficient numerical library conceived for shared memory heterogeneous parallel systems, and it supports, from its conception, both conventional multi-core processors and many-core coprocessors. In this article, NnmfPack is extended to handle different metrics options ( ββ -divergence), and some other parallel algorithms have been added and tested. The performance of the new functionalities of NnmfPack is tested, and some precision results of the implementations are showed using an example borrowed from the image processing field. es_ES
dc.description.sponsorship This work has been partially supported by "Ministerio de Economia y Competitividad" from Spain, under the projects TEC2012-38142-C04-01 and TEC2012-38142-C04-04 and by ISIC/2012/006 and PROMETEO FASE II 2014/003 projects of Generalitat Valenciana. en_EN
dc.language Inglés es_ES
dc.publisher Springer Verlag (Germany) es_ES
dc.relation.ispartof Journal of Supercomputing es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject NNMF es_ES
dc.subject Parallel library es_ES
dc.subject GPU es_ES
dc.subject Intel MIC es_ES
dc.subject Multi-core es_ES
dc.subject Many-core es_ES
dc.subject.classification CIENCIAS DE LA COMPUTACION E INTELIGENCIA ARTIFICIAL es_ES
dc.subject.classification INGENIERIA TELEMATICA es_ES
dc.title Improving NNMFPACK with heterogeneous and efficient kernels for ß-divergence metrics es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1007/s11227-014-1363-y
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//TEC2012-38142-C04-01/ES/PROCESADO DISTRIBUIDO Y COLABORATIVO DE SEÑALES SONORAS: CONTROL ACTIVO/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//TEC2012-38142-C04-04/ES/PROCESADO DISTRIBUIDO Y COLABORATIVO DE SEÑALES SONORAS: COMPUTACION DISTRIBUIDA/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/GVA//ISIC%2F2012%2F006/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/GVA//PROMETEOII%2F2014%2F003/ES/Computación y comunicaciones de altas prestaciones y aplicaciones en ingeniería/ es_ES
dc.rights.accessRights Cerrado es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Comunicaciones - Departament de Comunicacions es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació es_ES
dc.description.bibliographicCitation Díaz-Gracia, N.; Cocaña-Fernández, A.; Alonso-González, M.; Martínez Zaldívar, FJ.; Cortina, R.; García Mollá, VM.; Alonso, P.... (2015). Improving NNMFPACK with heterogeneous and efficient kernels for ß-divergence metrics. Journal of Supercomputing. 71(5):1846-1856. https://doi.org/10.1007/s11227-014-1363-y es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://dx.doi.org/10.1007/s11227-014-1363-y es_ES
dc.description.upvformatpinicio 1846 es_ES
dc.description.upvformatpfin 1856 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 71 es_ES
dc.description.issue 5 es_ES
dc.relation.senia 299400 es_ES
dc.contributor.funder Generalitat Valenciana es_ES
dc.contributor.funder Ministerio de Economía y Competitividad es_ES
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