Journal of Xidian University

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Optimization of matrix filling in the large scale parallel RWG basis based method of moments

CHEN Yan;ZHANG Yu;WANG Yong;ZHAO Xunwang;LIN Zhongchao   

  1. (Science and Technology on Antenna and Microwave Lab., Xidian Univ., Xi'an  710071, China)
  • Received:2015-08-26 Online:2016-10-20 Published:2016-12-02
  • Contact: CHEN Yan E-mail:yuseexidian@163.com

Abstract:

To solve the issue of inter-process redundant integrals in the parallel Method of Moments (MoM) using RWG basis functions, an efficient parallel matrix filling scheme is proposed through mesh index optimization. Based on a block-cyclic matrix distribution strategy, the common edges of triangles are renumbered to make the matrix elements that need the same triangular integrals be assigned to one process, thus drastically reducing the inter-process redundant integrals. Numerical results show that the proposed scheme eliminates most of the inter-process redundant integrals and greatly improves the efficiency of parallel matrix filling.

Key words: RWG method of moments, parallel, matrix filling scheme, optimization, redundant integral