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Parallel computing using CUDA

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dc.contributor.author ARMAŞ, Victor
dc.contributor.author CIORBĂ, Dumitru
dc.date.accessioned 2019-07-05T06:15:25Z
dc.date.available 2019-07-05T06:15:25Z
dc.date.issued 2012
dc.identifier.citation ARMAŞ, Victor, CIORBĂ, Dumitru.Parallel computing using cuda.In: Conferința Tehnico-Științifică a Colaboratorilor, Doctoranzilor și Studenților, Universitatea Tehnică a Moldovei, 8 – 10 decembrie, 2011. Chișinău, 2012, vol. 1, pp. 103-106. ISBN 978-9975-45-208-3 (Vol.1). en_US
dc.identifier.isbn 978-9975-45-208-3
dc.identifier.uri http://repository.utm.md/handle/5014/3197
dc.description.abstract The direction of computing evolves from a "centralized processing" on the CPU to "coprocessing" on the CPU and GPU. To implement the new paradigm of computing, NVIDIA has invented a parallel computing architecture CUDA, currently represented in the graphic processors GeForce, ION, Quadro, and Tesla, and provides the necessary framework for software developers. en_US
dc.language.iso en en_US
dc.publisher Tehnica UTM en_US
dc.rights Attribution-NonCommercial-NoDerivs 3.0 United States *
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/us/ *
dc.subject computing en_US
dc.title Parallel computing using CUDA en_US
dc.type Article en_US


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