About: High-performance Implementation of Recurrent Neural Networks on Graphics Processing Units

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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	The evolutionary algorithms work with large sets of individuals. In our case these individuals represent neural networks. The speed of evaluation of the networks is the very crucial factor because it affects the overall speed of the whole evolution process. In this paper we describe our implementation of the fully recurrent neural networks on the general-purpose graphics processing units. We are using the nVidia CUDA technology to accelerate the simulation of the population of the networks. We have created package for Wolfram Mathematica that provides interface to our accelerated simulator from high-level programming environment. Our library supports the client-server architecture, so you can run the simulations on dedicated CUDA-enabled computational server and process the results of the simulations on your desktop using the TCP/IP communication protocol. In this paper we present the results of the speedup experiments. The evolutionary algorithms work with large sets of individuals. In our case these individuals represent neural networks. The speed of evaluation of the networks is the very crucial factor because it affects the overall speed of the whole evolution process. In this paper we describe our implementation of the fully recurrent neural networks on the general-purpose graphics processing units. We are using the nVidia CUDA technology to accelerate the simulation of the population of the networks. We have created package for Wolfram Mathematica that provides interface to our accelerated simulator from high-level programming environment. Our library supports the client-server architecture, so you can run the simulations on dedicated CUDA-enabled computational server and process the results of the simulations on your desktop using the TCP/IP communication protocol. In this paper we present the results of the speedup experiments. (en)
Title	High-performance Implementation of Recurrent Neural Networks on Graphics Processing Units High-performance Implementation of Recurrent Neural Networks on Graphics Processing Units (en)
skos:prefLabel	High-performance Implementation of Recurrent Neural Networks on Graphics Processing Units High-performance Implementation of Recurrent Neural Networks on Graphics Processing Units (en)
skos:notation	RIV/68407700:21230/10:00177603!RIV11-MSM-21230___
http://linked.open...avai/riv/aktivita	Z
http://linked.open...avai/riv/aktivity	Z(MSM6840770012)
http://linked.open...vai/riv/dodaniDat	2011
http://linked.open...aciTvurceVysledku	Buk, Zdeněk Šnorek, Miroslav
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	České vysoké učení technické v Praze / Fakulta elektrotechnická
http://linked.open...dnocenehoVysledku	261587
http://linked.open...ai/riv/idVysledku	RIV/68407700:21230/10:00177603
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Neural Networks; CUDA; Parallel Computing; Graphics Processing Units (en)
http://linked.open.../riv/klicoveSlovo	Parallel Computing CUDA Graphics Processing Units Neural Networks
http://linked.open...ontrolniKodProRIV	[3797BEC11682]
http://linked.open...v/mistoKonaniAkce	Praha
http://linked.open...i/riv/mistoVydani	Prague
http://linked.open...i/riv/nazevZdroje	Proceedings of the 7th EUROSIM Congress on Modelling and Simulation, Vol. 2: Full Papers
http://linked.open...in/vavai/riv/obor	IN
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	2 (xsd:int)
http://linked.open...UplatneniVysledku	2010
http://linked.open...iv/tvurceVysledku	Buk, Zdeněk Šnorek, Miroslav
http://linked.open...vavai/riv/typAkce	EUR - Evropská
http://linked.open.../riv/zahajeniAkce	2010-09-06 (xsd:date)
http://linked.open...n/vavai/riv/zamer	Transdisciplinární výzkum v oblasti biomedicínského inženýrství II
number of pages	4 (xsd:int)
http://purl.org/ne...btex#hasPublisher	Department of Computer Science and Engineering, FEE, CTU in Prague
https://schema.org/isbn	978-80-01-04589-3
http://localhost/t...ganizacniJednotka	21230
is http://linked.open...avai/riv/vysledek of	High-performance Implementation of Recurrent Neural Networks on Graphics Processing Units High-performance Implementation of Recurrent Neural Networks on Graphics Processing Units High-performance Implementation of Recurrent Neural Networks on Graphics Processing Units

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