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Supercomputer Lomonosov-2: Large Scale, Deep Monitoring and Fine Analytics for the User Communityстатья
Статья опубликована в журнале из списка RSCI Web of Science
Информация о цитировании статьи получена из
Scopus
Статья опубликована в журнале из списка Web of Science и/или Scopus
Дата последнего поиска статьи во внешних источниках: 11 ноября 2019 г.
- Авторы: Voevodin Vladimir V., Antonov Alexander S., Nikitenko Dmitry A., Shvets Pavel A., Sobolev Sergey I., Sidorov Igor Yu, Stefanov Konstantin S., Voevodin Vadim V., Zhumatiy Sergey A.
- Журнал: Supercomputing Frontiers and Innovations
- Том: 6
- Номер: 2
- Год издания: 2019
- Первая страница: 4
- Последняя страница: 11
- DOI: 10.14529/jsfi190201
- Аннотация: The huge number of hardware and software components, together with a large number of parameters affecting the performance of each parallel application, makes ensuring the efficiency of a large scale supercomputer extremely difficult. In this situation, all basic parameters of the supercomputer should be constantly monitored as well as many decisions about its functioning should be made by special software automatically. In this paper we describe the tight connection between complexity of modern large high performance computing systems and special techniques and tools required to ensure their efficiency in practice. The main subsystems of the developed complex (Octoshell, DiMMoN, Octotron, JobDigest, and an expert software system to bring fine analytics on parallel applications and the entire supercomputer to users and sysadmins) are actively operated on the large supercomputer systems at Lomonosov Moscow State University. A brief description of the architecture of the Lomonosov-2 supercomputer is presented, and questions showing both a wide variety of emerging complex issues and the need for an integrated approach to solving the problem of effectively supporting large supercomputer systems are discussed.
- Добавил в систему: Антонов Александр Сергеевич