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Numerical methods and programming, 2019, Volume 20, Issue 3, Pages 346–355
DOI: https://doi.org/10.26089/NumMet.v20r330 (Mi vmp971) 		 
The practice of conducting performance analysis of supercomputer applications

I. V. Afanasyeva, Vad. V. Voevodinb, V. Yu. Rudyaka, A. V. Emel'yanenkoa

a Faculty of Physics, Lomonosov Moscow State University
b Lomonosov Moscow State University, Research Computing Center
Full-text PDF (409 kB)
DOI: https://doi.org/10.26089/NumMet.v20r330
Abstract: A method for the efficiency analysis and optimization of supercomputer applications applied earlier in practice to study jobs of a user on the Lomonosov-2 supercomputer is proposed. This method involves various stages of the jobs research, starting from studying the general behavior of all user launches on a supercomputer and ending with a detailed study and optimization of the source code of a selected program. The paper describes the general stages of the analysis that were carried out in practice, shows performance metrics that should be paid attention to when performing such an analysis, and shows also some specific examples of the job behavior and the effect of optimization carried out for the task of calculating liquid crystal droplets.
Keywords: high-performance computing, supercomputers, efficiency analysis, graphics accelerators, liquid crystals, elastic continuum theory.
Received: 27.08.2019
Bibliographic databases:
UDC: 519.68
Language: Russian
Citation: I. V. Afanasyev, Vad. V. Voevodin, V. Yu. Rudyak, A. V. Emel'yanenko, “The practice of conducting performance analysis of supercomputer applications”, Num. Meth. Prog., 20:3 (2019), 346–355
Citation in format AMSBIB
\Bibitem{AfaVoeRud19}
\by I.~V.~Afanasyev, Vad.~V.~Voevodin, V.~Yu.~Rudyak, A.~V.~Emel'yanenko
\paper The practice of conducting performance analysis of supercomputer applications
\jour Num. Meth. Prog.
\yr 2019
\vol 20
\issue 3
\pages 346--355
\mathnet{http://mi.mathnet.ru/vmp971}
\crossref{https://doi.org/10.26089/NumMet.v20r330}
\elib{https://elibrary.ru/item.asp?id=39540787}
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    		Numerical methods and programming
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