Supercomputer application integral characteristics analysis for the whole queued job collection of large-scale HPC systems

Nikitenko, D.; Voevodin, V.; Zhumatiy, S.; Stefanov, K.; Teplov, A.; Shvets, P.; Voevodin, V.

Авторы: Nikitenko Dmitry, Voevodin Vladimir, Zhumatiy Sergey, Stefanov Konstantin, Teplov Aleksey, Shvets Pavel, Voevodin Vadim
Сборник: 10th Annual International Scientific Conference on Parallel Computing Technologies, PCT 2016; Arkhangelsk; Russian Federation; 29 March 2016 through 31 March 2016
Серия: CEUR Workshop Proceedings (CEUR-WS.org)
Том: 1576
Год издания: 2016
Первая страница: 20
Последняя страница: 30
Аннотация: Efficient use and high output of any supercomputer depends on a great number of factors. The problem of controlling granted resource utilization is one of those, and becomes especially noticeable in conditions of concurrent work of many user projects. It is important to provide users with detailed information on peculiarities of their executed jobs. At the same time it is important to provide project managers with detailed information on resource utilization by project members by giving access to the detailed job analysis. Unfortunately, such information is rarely available. This gap should be eliminated with our proposed approach to supercomputer application integral characteristics analysis for the whole queued job collection of large-scale HPC systems based on system monitoring data management and study, building integral job characteristics, revealing job categories and single job run peculiarities.
Добавил в систему: Никитенко Дмитрий Александрович

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Supercomputer application integral characteristics analysis for the whole queued job collection of large-scale HPC systemsстатья

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