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Matematicheskoe modelirovanie, 2014, Volume 26, Number 1, Pages 69–82 (Mi mm3439)  

This article is cited in 2 scientific papers (total in 2 papers)

Testing of multi-cores graphic processors by molecular dynamics algorithm

E. M. Pestryaev

Ufa State Petroleum Technological University
Full-text PDF (317 kB) Citations (2)
References:
Abstract: The testing of multi-cores graphic processors was made by the most difficult off-lattice algorithm of molecular dynamics simulation, i.e. computation of inter-particle distances. Some video cards NVIDIA GeForce with number of cores from 64 to 512 operating on various frequencies and specialized computing processor Tesla C 2050 were used. All tested processors have the same architecture and are able to execute binary code made by CUDA C. The relative performance of the algorithm executed by any tested graphic processor essentially increases with computational effort due to the growth as the number of the system particles as the cut radius of inter-particle interaction. The top video card performance value reaches 90 in comparison with the algorithm execution by one core of 2.2 GHz CPU in spite of the CPU executable code was made by optimizing C++ compiler of MS Visual Studio 2008. The reduced to frequency relative performance as a function of the video card core number is well described by Amdahl’s law.
Keywords: molecular dynamics, graphic processor, parallel algorithm, Amdahl’s law, GPU, CUDA.
Received: 20.03.2012
Document Type: Article
UDC: 514(64+24): 535.135
Language: Russian
Citation: E. M. Pestryaev, “Testing of multi-cores graphic processors by molecular dynamics algorithm”, Matem. Mod., 26:1 (2014), 69–82
Citation in format AMSBIB
\Bibitem{Pes14}
\by E.~M.~Pestryaev
\paper Testing of multi-cores graphic processors by molecular dynamics algorithm
\jour Matem. Mod.
\yr 2014
\vol 26
\issue 1
\pages 69--82
\mathnet{http://mi.mathnet.ru/mm3439}
Linking options:
  • https://www.mathnet.ru/eng/mm3439
  • https://www.mathnet.ru/eng/mm/v26/i1/p69
  • This publication is cited in the following 2 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Математическое моделирование
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    Abstract page:518
    Full-text PDF :174
    References:63
    First page:23
     
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