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Parallel FDTD Solver with Optimal Topology and Dynamic Balancingстатья
Информация о цитировании статьи получена из
Scopus
Дата последнего поиска статьи во внешних источниках: 4 мая 2018 г.
- Автор: Балыков Г.А.
- Сборник: Supercomputing. Third Russian Supercomputing Days, RuSCDays 2017, Moscow, Russia, September 25–26, 2017, Revised Selected Papers
- Редакторы: Воеводин Владимир Валентинович, Соболев Сергей Игоревич
- Серия: Communications in Computer and Information Science (CCIS)
- Том: 793
- Год издания: 2017
- Место издания: Springer Cham
- Первая страница: 337
- Последняя страница: 348
- DOI: 10.1007/978-3-319-71255-0_27
- Аннотация: Finite-difference time-domain method (FDTD) is widely used for modeling of computational electrodynamics by numerically solving Maxwell's equations and finding approximate solution at each time step. The FDTD method was originally developed by K. Yee in 1966 and is still improving to fulfill the needs of researchers. Highly parallel Maxwell's equations solvers based on the FDTD method allow to model sophisticated structures on large grids with acceptable performance and required accuracy. This article describes parallel FDTD solver for different dimensions with comparison method for virtual topologies of computational nodes' grid, which allows to choose the best virtual topology for target architecture. Developed solver also incorporates dynamic balancing of computations between computational nodes. Measurements for presented algorithms are provided for IBM Blue Gene/P supercomputer. Further directions for optimizations are also discussed.
- Добавил в систему: Балыков Глеб Александрович