High performance computing on scattering from extremely large targets by MLFMA

Xiao Min Pan*, Xin Qing Sheng

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)

Abstract

Difficulties associated with extremely large targets, including construction of the geometry tree in the algorithm, reduction of the number of far-field patterns and fast computation of radar cross section, are pointed out. Based on the architecture of popular parallel platforms, distributed memory parallel systems, and properties of targets with extremely large sizes, relative solutions are proposed. The efficiency of the proposed parallel multilevel fast multipole algorithm (MLFMA) scheme is validated by successful computations of scattering from targets with over five hundred million unknowns and several thousand wavelengths in size.

Original languageEnglish
Pages (from-to)1690-1693
Number of pages4
JournalXi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics
Volume33
Issue number8
DOIs
Publication statusPublished - Aug 2011

Keywords

  • High performance
  • Multilevel fast multipole algorithm (MLFMA)
  • Parallel
  • Radar cross section (RCS)
  • Scattering

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