Efficient and Accurate Electromagnetic Angular Sweeping of Rough Surfaces by MPI Parallel Randomized Low-Rank Decomposition
Si-Lu HuangSchool of Information and Electronics, Center for Electromagnetic Simulation, Beijing Institute of Technology, Beijing, ChinaWei SongSchool of Information and Electronics, Center for Electromagnetic Simulation, Beijing Institute of Technology, Beijing, ChinaYi-Zhuo WangSchool of Computer Science and Technology, Beijing Institute of Technology, Beijing, ChinaYu Mao WuKey Laboratory for Information Science of Electromagnetic Waves, Fudan University, Shanghai, ChinaXiao‐Min PanSchool of Information and Electronics, Center for Electromagnetic Simulation, Beijing Institute of Technology, Beijing, ChinaXin‐Qing ShengSchool of Information and Electronics, Center for Electromagnetic Simulation, Beijing Institute of Technology, Beijing, China
2020en
ABI
Annotatsiya
A message passing interface (MPI) parallel scheme on distributed memory platforms is developed for the low-rank decomposition to accommodate the memory requirement during angular sweeping of a rough surface in terms of tapered wave incidence. Numerical examples, including that conducted on a 160 × 160 square wavelength rough surface, are carried out to demonstrate the performance of the proposed MPI angular sweeping with respect to accuracy, efficiency, scalability, and the peak memory requirement.
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