EISSN 1726-3522
Язык: ru

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BOTTLENECKS IN ORGANIZING THE WORKFLOWS OF LARGE HPC CENTERS (2023)
Выпуск: Т. 24 № 1 (2023)
Авторы: Никитенко Дмитрий Александрович

Effective output from data centers are determined by many complementary factors. Often, attention is paid to only a few, at first glance, the most significant of them. For example, this is the efficiency of the scheduler, the efficiency of resource utilization by user tasks. At the same time, a more general view of the problem is often missed: the level at which the interconnection of work processes in the HPC center is determined, the organization of effective work as a whole. missions at this stage can negate any subtle optimizations at a low level. This paper provides a scheme for describing workflows in the supercomputer center and analyzes the experience of large HPC facilities in identifying the bottlenecks in this chain. A software implementation option that gives the possibility of optimizing the organization of work at all stages is also proposed in the form of a support system for the functioning of the HPC site.

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THE USE OF ONTOLOGIES FOR SOLVING SCIENTIFIC PROBLEMS (BY EXAMPLE OF GEOPHYSICS) (2021)
Выпуск: Т. 22 № 4 (2021)
Авторы: Глинский Борис Михайлович, Жерняк Геннадий Федорович, Загорулько Галина Борисовна, Титов Павел Андреевич

The paper covers an intelligent support system that allows to describe and construct solutions to various scientific problems. In this study, in particular, we consider geophysical problems. This system is being developed at the Institute of Computational Mathematics and Mathematical Geophysics of the Russian Academy of Sciences (ICMMG SB RAS) and Institute of Informatics System of the Russian Academy of Sciences (IIS SB RAS). The system contains a knowledge base, the core of which is a set of several interconnected ontologies such as the ontology of supercomputer architectures, the ontology of algorithms and methods. Ontology can be viewed as a set of concepts and how those concepts are linked. As the result, the authors present an ontological description of two geophysical problems via the means of the intelligent support system: 1) the seismic wavefield simulation and 2) the reconstruction of a seismic image through pre-stack time or depth migration. For a better visual understanding of the system described and the results obtained, the paper also contains several schematic diagrams and images.

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