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2018-04-17

Docker-Enabled Scalable Parallel MLFMA System for RCS Evaluation

By Jian Zhou, Shaowei Bie, Ling Miao, Yuhao Zhang, and Jianjun Jiang
Progress In Electromagnetics Research M, Vol. 67, 169-176, 2018
doi:10.2528/PIERM18021907

Abstract

Research on RCS evaluation for electrically large objects has been a hot topic for decades. Although multilevel fast multipole algorithm (MLFMA) has been the most popular method in scattering computation, due to the limitation of both CPU speed and memory size in a single computer, realistic large targets require discretization with millions of unknowns still cannot be solved by sequential implementations of MLFMA. In this paper, we introduce a Docker-enabled parallel MLFMA computing system based on MPI, which is proved to be friendly for deployment and economical for scalability, to solve electrically large scattering problems. In addition, the capability of the proposed system has been demonstrated by several canonical examples.

Citation


Jian Zhou, Shaowei Bie, Ling Miao, Yuhao Zhang, and Jianjun Jiang, "Docker-Enabled Scalable Parallel MLFMA System for RCS Evaluation," Progress In Electromagnetics Research M, Vol. 67, 169-176, 2018.
doi:10.2528/PIERM18021907
http://www.jpier.org/PIERM/pier.php?paper=18021907

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