Why do Users Need to Take Care of Their HPC Applications Efficiency?

High-performance computing takes a very important place in modern scientific research process. And since all scientists want to solve their problems faster, it is very important to speed up these computations. For these purposes, new algorithms are being developed, new HPC systems appear, etc. Howev...

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Bibliographic Details
Published inLobachevskii journal of mathematics Vol. 41; no. 8; pp. 1521 - 1532
Main Authors Nikitenko, D. A., Shvets, P. A., Voevodin, V. V.
Format Journal Article
LanguageEnglish
Published Moscow Pleiades Publishing 01.08.2020
Springer Nature B.V
Subjects
Algebra
Algorithms
Analysis
Computing time
Efficiency
Geometry
High performance computing
Mathematical Logic and Foundations
Mathematics
Mathematics and Statistics
Performance degradation
Probability Theory and Stochastic Processes
Software
Software development tools
Supercomputers
Support systems
Workflow
supercomputer
application efficiency
performance statistics
system software
parallel program
high-performance computing
performance analysis
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Summary:High-performance computing takes a very important place in modern scientific research process. And since all scientists want to solve their problems faster, it is very important to speed up these computations. For these purposes, new algorithms are being developed, new HPC systems appear, etc. However, quite little attention is paid to the efficiency of high-performance computations, which often leads to a vast amount of supercomputer resources being idle. It is vital to change this situation; in particular, it is necessary to show users the importance and necessity of optimizing their applications. One of the main steps in this direction is to help users detect performance issues in their programs, analyze their level of criticality as well as root causes, and eliminate them in order to improve application performance. In this article we describe the research being performed at the Lomonosov Moscow State University aimed at solving this problem. In particular, we analyze the results of supercomputer center users survey, showing their opinion on the efficiency analysis. We also share our vision on the HPC center workflow requirements to support system and applications efficiency analysis. After that, we describe a software tool being developed that allows any supercomputer user to obtain and analyze versatile statistics on performance of his HPC jobs, helping him to detect possible root causes of performance degradation.
ISSN:1995-0802
1818-9962
DOI:10.1134/S1995080220080132