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Numerical methods and programming, 2013, Volume 14, Issue 4, Pages 104–108 (Mi vmp158)  
Программирование

Examination of supercomputer system jobs flow dynamic characteristics

A. S. Antonov, S. A. Zhumatii, D. A. Nikitenko, K. S. Stefanov, A. M. Teplov, P. A. Shvets

M.V. Lomonosov Moscow State University, Research Computing Center
Full-text PDF (134 kB)
Abstract: The article presents the supercomputer jobs flow dynamic characteristics monitoring system implemented on the “SKIF MSU Chebyshev” supercomputer at present. The proposed approach to the analysis allows one to get an adequate estimate of actual properties of the job flow efficiently and technologically simply. It allows one to gain a better understanding of the supercomputer resources utilization, to identify shortcomings in the supercomputer architecture, and to find possible directions of its optimization.
Keywords: supercomputer; performance; efficiency; dynamic characteristics; supercomputer system load; monitoring; resource manager.
Received: 30.10.2013
Document Type: Article
UDC: 004.021
Language: Russian
Citation: A. S. Antonov, S. A. Zhumatii, D. A. Nikitenko, K. S. Stefanov, A. M. Teplov, P. A. Shvets, “Examination of supercomputer system jobs flow dynamic characteristics”, Num. Meth. Prog., 14:4 (2013), 104–108
Citation in format AMSBIB
\Bibitem{AntZhuNik13}
\by A.~S.~Antonov, S.~A.~Zhumatii, D.~A.~Nikitenko, K.~S.~Stefanov, A.~M.~Teplov, P.~A.~Shvets
\paper Examination of supercomputer system jobs flow dynamic characteristics
\jour Num. Meth. Prog.
\yr 2013
\vol 14
\issue 4
\pages 104--108
\mathnet{http://mi.mathnet.ru/vmp158}
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