Efficient Parallelization of a TSW-MLFMA Scheme for Large Scale Problems

被引：0
|
作者：
Sun Jie [1 ]
Nie Zaiping [1 ]
Que Xiaofeng [1 ]
机构：
[1] Univ Elect Sci & Technol China, Sch Elect Engn, Chengdu 610054, Peoples R China
来源：
2013 CROSS STRAIT QUAD-REGIONAL RADIO SCIENCE AND WIRELESS TECHNOLOGY CONFERENCE (CSQRWC) | 2013年
关键词：
D O I：
暂无
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：
The Multilevel Fast Multipole Algorithm (MLFMA) has made a great contribution to accelerate the matrix-vector product in the iterative solving of electromagnetic scattering problems. A sophisticated parallel MLFMA for use on distributed-memory computers and the use of large-patch basis functions are good methods to enhance the capability to simulate large scale problems. The article introduces the approach used for the travelling standing wave basis functions (TSW) parallelization based on MLFMA. The method makes it easy to solve bigger scattering problems compared with other methods under the same computing platform.
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页码：116 / 119
页数：4
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