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Solve the Quasi-static Biot Problem on Shared Memory Systems with Various Processors Научная публикация

Конференция The 24th International Conference on Computational Science and Its Applications
01-04 июл. 2024 , Hanoi
Сборник Computational Science and Its Applications – ICCSA 2024 Workshops Hanoi, Vietnam, July 1–4, 2024, Proceedings
Сборник, Springer Nature. Switzerland.2024. 414 c. ISBN 978-3-031-65238-7.
Журнал Lecture Notes in Computer Science
ISSN: 0302-9743 , E-ISSN: 1611-3349
Вых. Данные Год: 2024, Том: 14817, Страницы: 305-320 Страниц : 16 DOI: 10.1007/978-3-031-65238-7_21
Ключевые слова Poroelasticity · Biot equation · quasi-static state · finite differences · direct methods for SLAE · iterative methods · field-split preconditioner · shared memory systems
Авторы Solovyev Sergey 1 , Lisitsa Vadim 2
Организации
1 Institute of Mathematics SB RAS
2 Institute of Petroleum Geology and Geophysics SB RAS

Информация о финансировании (1)

1 Российский научный фонд 19-77-20004-П

Реферат: The quasi-static frequency domain Biot equation can be used to model loading of fluid-filled poroelastic materials in low-frequency case and to estimate effective frequency-dependent strain and stress relations. To numerically solve the Biot equation, we proposed an algorithm based on finite-difference approximation, iterative solution of the obtained system of linear algebraic equations (SLAE) and using field-split preconditioner technique. The basis of the iterative solver is the Biconjugate Gradient Stabilized (BCGStab); inverting the preconditioner is based on using the direct solver. In this paper, we present the results of implementation and testing the proposed algorithm on various shared memory systems. The experiments were performed on servers with Intel, AMD and Elbrus processors. The accuracy, memory and performance characteristics were measured. The results demonstrate robustness of the proposed algorithm on these architectures.
Библиографическая ссылка: Solovyev S. , Lisitsa V.
Solve the Quasi-static Biot Problem on Shared Memory Systems with Various Processors
В сборнике Computational Science and Its Applications – ICCSA 2024 Workshops Hanoi, Vietnam, July 1–4, 2024, Proceedings. – Springer Nature., 2024. – Т.Part III. – C.305-320. – ISBN 978-3-031-65238-7. DOI: 10.1007/978-3-031-65238-7_21 WOS Scopus OpenAlex
Даты:
Опубликована в печати: 26 июл. 2024 г.
Опубликована online: 26 июл. 2024 г.
Идентификаторы БД:
Web of science: WOS:001294364500021
Scopus: 2-s2.0-85200786307
OpenAlex: W4401000297
Цитирование в БД: Пока нет цитирований
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