GPU-accelerated DGTD method based on automatic batch processing technique to solve large-size electromagnetic scattering problem

被引：0
|
作者：
Li, Chao [1 ]
Ren, Qiang [1 ]
Zhou, Yuanguo [2 ]
机构：
[1] Beihang Univ, Sch Elect & Informat Engn, Beijing, Peoples R China
[2] Xian Univ Sci & Technol, Sch Commun & Informat Engn, Xian, Peoples R China
来源：
2022 IEEE 10TH ASIA-PACIFIC CONFERENCE ON ANTENNAS AND PROPAGATION, APCAP | 2022年
基金：
中国国家自然科学基金;
关键词：
D O I：
10.1109/APCAP56600.2022.10069179
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper, we propose a GPU-accelerated discontinuous Galerkin time-domain (DGTD) method based on an automatic batch data processing technique to solve the large-scale electromagnetic scattering problem. The memory of the graphics card limits the size of the computation, so automatic batch data processing techniques are proposed to divide the computational domain and compute the computational region in batches. The reliability and efficiency of the method are verified by a numerical example.
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页数：2
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