vmaitComputational Mathematics and Information TechnologiesComputational Mathematics and Information Technologies2587-8999Донской государственный технический университет10.23947/2587-8999-2017-2-194-200vmait-94Research ArticleСтатьиБазовая система моделирования (БСМ): концепция, архитектура и методологияBasic system of modelling (BSM): the concept, architecture and methodologyИльинВалерий ПавловичIl’inValery Pavlovich

Ильин Валерий Павлович, доктор физико-математических наук, профессор, Институт вычислительной математики и математической геофизики Сибирского отделения РАН (ИВМиМГ СО РАН) (630090, Новосибирск, Россия, Проспект академика Лаврентьева, 6)

Il’in Valery Pavlovich, Doctor of Science in Physics and Maths, Professor, Institute of Computational Mathematics and Mathematical Geophysics of the Siberian Branch of the RAS, Novosibirsk, Russian Federation (6 Prospekt Academician Lavrentyev, Novosibirsk, Russian Federation)

ilin@sscc.ruГладкихВиктор СергеевичGladkihViktor Sergeevich

Гладких Виктор Сергеевич, инженер 1 категории, Институт вычислительной математики и математической геофизики Сибирского отделения РАН (ИВМиМГ СО РАН) (630090, Новосибирск, Россия, Проспект академика Лаврентьева, 6)

Gladkih Viktor Sergeevich, engineer of the 1st category, Institute of Computational Mathematics and Mathematical Geophysics of the Siberian Branch of the RAS, Novosibirsk, Russian Federation (6 Prospekt Academician Lavrentyev, Novosibirsk, Russian Federation)

victor_gladkikh@lapasrv.sscc.ruИнститут вычислительной математики и математической геофизики Сибирского отделения РАН (ИВМиМГ СО РАН) (630090, Новосибирск, Россия, Проспект академика Лаврентьева, 6)РоссияInstitute of Computational Mathematics and Mathematical Geophysics of the Siberian Branch of the RAS, Novosibirsk, Russian Federation (6 Prospekt Academician Lavrentyev, Novosibirsk, Russian Federation)Russian FederationИнститут вычислительной математики и математической геофизики Сибирского отделения РАН (ИВМиМГ СО РАН) (630090, Новосибирск, Россия, Проспект академика Лаврентьева, 6)РоссияInstitute of Computational Mathematics and Mathematical Geophysics of the Siberian Branch of the RAS, Novosibirsk, Russian Federation (6 Prospekt Academician Lavrentyev, Novosibirsk, Russian Federation)Russian Federation2017300320231294Copyright © Ильин В.П., Гладких В.С., 20232023Ильин В.П., Гладких В.С.Il’in V.P., Gladkih V.S.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://www.cmit-journal.ru/jour/article/view/94

Рассматриваются архитектура и основные компоненты базовой системы моделирования (БСМ), являющейся высокопроизводительной вычислительной средой разработки для решения прямых и обратных задач на много-процессорных системах (МВС) с распределенной и иерархической общей памятью. Модули системы БСМ содержат средства геометрического и функционального моделирования, генерации сетки, аппроксимацийвысокого порядка, быстрых алгебраических решателей и т.д. Эффективное распараллеливание достигается за счет использования гибридных программных средств: MPI, OpenMP; векторизации кода, вычислительных библиотек для графических ускорителей.

The paper covers the architecture and main functional components of the basic system of modelling (BSM), as the integrated high-performance computational environment to solve interdisciplinary direct and inverse problems on the multi- processor computational system (MPS) with distributed and shared hierarchical memory. BSM subsystems support the stages of geometric and functional modelling, grid generation, high order approximations, fast algebraic solutions, etc. The scalable parallelism is provided by means of hybrid programming models: MPI, OpenMP, computational libraries for graphic accelerators and vectorization. The BSM main principles are discussed to have wide applications and long life cycle.

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The authors declare that there are no conflicts of interest present.