About: Non-Negative Tensor Factorization Accelerated Using GPGPU

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	This article presents an optimized algorithm for Non-Negative Tensor Factorization (NTF), implemented in the CUDA (Compute Uniform Device Architecture) framework, that runs on contemporary graphics processors and exploits their massive parallelism. The NTF implementation is primarily targeted for analysis of high-dimensional spectral images, including dimensionality reduction, feature extraction, and other tasks related to spectral imaging; however, the algorithm and its implementation are not limited to spectral imaging. The speed-ups measured on real spectral images are around 60-100x compared to a traditional C implementation compiled with an optimizing compiler. Since common problems in the field of spectral imaging may take hours on a state-of-the-art CPU, the speed-up achieved using a graphics card is attractive. The implementation is publicly available in the form of a dynamically linked library, including an interface to MATLAB, and thus may be of help to researchers and eng This article presents an optimized algorithm for Non-Negative Tensor Factorization (NTF), implemented in the CUDA (Compute Uniform Device Architecture) framework, that runs on contemporary graphics processors and exploits their massive parallelism. The NTF implementation is primarily targeted for analysis of high-dimensional spectral images, including dimensionality reduction, feature extraction, and other tasks related to spectral imaging; however, the algorithm and its implementation are not limited to spectral imaging. The speed-ups measured on real spectral images are around 60-100x compared to a traditional C implementation compiled with an optimizing compiler. Since common problems in the field of spectral imaging may take hours on a state-of-the-art CPU, the speed-up achieved using a graphics card is attractive. The implementation is publicly available in the form of a dynamically linked library, including an interface to MATLAB, and thus may be of help to researchers and eng (en)
Title	Non-Negative Tensor Factorization Accelerated Using GPGPU Non-Negative Tensor Factorization Accelerated Using GPGPU (en)
skos:prefLabel	Non-Negative Tensor Factorization Accelerated Using GPGPU Non-Negative Tensor Factorization Accelerated Using GPGPU (en)
skos:notation	RIV/00216305:26230/11:PU89632!RIV13-MSM-26230___
http://linked.open...avai/predkladatel	Fakulta informačních technologií
http://linked.open...avai/riv/aktivita	P S Z
http://linked.open...avai/riv/aktivity	P(LC06008), S, Z(MSM0021630528)
http://linked.open...iv/cisloPeriodika	1111
http://linked.open...vai/riv/dodaniDat	2013
http://linked.open...aciTvurceVysledku	Herout, Adam Zemčík, Pavel Havel, Jiří Jošth, Radovan
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Vysoké učení technické v Brně / Fakulta informačních technologií
http://linked.open...dnocenehoVysledku	216255
http://linked.open...ai/riv/idVysledku	RIV/00216305:26230/11:PU89632
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Non-negative tensor factorization, spectral analysis, GPU (en)
http://linked.open.../riv/klicoveSlovo	spectral analysis GPU Non-negative tensor factorization
http://linked.open...odStatuVydavatele	US - Spojené státy americké
http://linked.open...ontrolniKodProRIV	[36265A78A2A5]
http://linked.open...i/riv/nazevZdroje	IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS
http://linked.open...in/vavai/riv/obor	JC
http://linked.open...ichTvurcuVysledku	4 (xsd:int)
http://linked.open...cetTvurcuVysledku	6 (xsd:int)
http://linked.open...vavai/riv/projekt	Center of Computer Graphics
http://linked.open...UplatneniVysledku	2011
http://linked.open...v/svazekPeriodika	2011
http://linked.open...iv/tvurceVysledku	Havel, Jiří Herout, Adam Zemčík, Pavel Antikainen, Jukka Hauta-Kasari, Markku Jošth, Radovan
http://linked.open...n/vavai/riv/zamer	Výzkum informačních technologií z hlediska bezpečnosti
issn	1045-9219
number of pages	7 (xsd:int)
http://localhost/t...ganizacniJednotka	26230
is http://linked.open...avai/riv/vysledek of	Non-Negative Tensor Factorization Accelerated Using GPGPU

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