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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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