The Creation of Intelligent Support Methods for Solving Mathematical Physics Problems on Supercomputers

Glinskiy, Boris; Zagorulko, Yury A.; Zagorulko, Galina; Kulikov, Igor; Sapetina, Anna

doi:10.1007/978-3-030-36592-9_35

Cited by 4 publications

(1 citation statement)

References 29 publications

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“…Пальчунов). В ИВМиМГ СО РАН активно ведутся исследования по ИИ в лабораториях вычислительной физики, суперкомпьютерного моделирования и синтеза параллельных программ [24][25][26][27], недавно сформирована Лаборатория искусственного интеллекта во главе с М.А. Марченко, ориентированная на экологические и другие серьезные приложения.…”

Section: интеллектуальные вызовы и проблемы XXI векаunclassified

Становление И Развитие Искусственного Интеллекта В Со Ран

Ильин

2024

Развитие Вычислительной Техники В России, Странах Бывшего СССР И СЭВ

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Section: интеллектуальные вызовы и проблемы XXI векаunclassified

Становление И Развитие Искусственного Интеллекта В Со Ран

Ильин

2024

Развитие Вычислительной Техники В России, Странах Бывшего СССР И СЭВ

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Constructing an Expert System for Solving Astrophysical Problems Based on the Ontological Approach

Sapetina

Kulikov

Zagorulko

et al. 2022

Communications in Computer and Information Science

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Ontological approach to formalization of knowledge in computational plasma physics

Снытников

Glinskiy

Zagorulko

et al. 2020

J. Phys.: Conf. Ser.

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Computational plasma physics is a wide area of research, which includes a certain set of physical phenomena, mathematical equations, numerical methods, programming strategies, and hardware architectures that directly follow each other. To design an efficient code for solving a computational plasma physics problem, the researcher should have a clear understanding of the relationships between the concepts of physics, mathematics, computer science, and computer architecture. Ontology is one of the effective ways to realize (provide) such an understanding. Authors propose an approach to design an ontology which will show how physical phenomena determine mathematical equations being used, how the equations define numerical methods, and how methods enable programming strategies to form an architecture-efficient implementation of problem solution.

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The Creation of Intelligent Support Methods for Solving Mathematical Physics Problems on Supercomputers

Cited by 4 publications

References 29 publications

Становление И Развитие Искусственного Интеллекта В Со Ран

Становление И Развитие Искусственного Интеллекта В Со Ран

Constructing an Expert System for Solving Astrophysical Problems Based on the Ontological Approach

Ontological approach to formalization of knowledge in computational plasma physics

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