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Sibirskii Zhurnal Vychislitel'noi Matematiki, 2011, Volume 14, Number 1, Pages 59–70
(Mi sjvm426)
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This article is cited in 11 scientific papers (total in 11 papers)
Implementation of algorithms with a fine-grained parallelism on GPUs
K. V. Kalgin Institute of Computational Mathematics and Mathematical Geophysics (Computing Center), Siberian Branch of the Russian Academy of Sciences, Novosibirsk
Abstract:
The efficiency of implementations of algorithms with a fine-grained parallelism on GPUs that support the CUDA architecture is studied. For testing, cellular automata and differential schemes are used. We offer several versions of implementations and analyze their productivity. An example of the GPU application for modeling the process of carbon dioxide oxidation on the catalyst surface is given.
Key words:
graphical processing unit, GPGPU, CUDA, cellular automata, fine-grained algorithms, parallel implementation.
Received: 27.01.2010 Revised: 09.04.2010
Citation:
K. V. Kalgin, “Implementation of algorithms with a fine-grained parallelism on GPUs”, Sib. Zh. Vychisl. Mat., 14:1 (2011), 59–70; Num. Anal. Appl., 4:1 (2011), 46–55
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https://www.mathnet.ru/eng/sjvm426 https://www.mathnet.ru/eng/sjvm/v14/i1/p59
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Abstract page: | 558 | Full-text PDF : | 137 | References: | 58 | First page: | 14 |
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