Efficient and accurate electromagnetic angular sweeping of rough surfaces by MPI parallel randomized low-rank decomposition

Si Lu Huang, Wei Song, Yi Zhuo Wang, Yu Mao Wu, Xiao Min Pan*, Xin Qing Sheng

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)

Abstract

A message passing interface (MPI) parallel scheme on distributed memory platforms is developed for the low-rank decomposition to accommodate the memory requirement during angular sweeping of a rough surface in terms of tapered wave incidence. Numerical examples, including that conducted on a 160×160 square wavelength rough surface, are carried out to demonstrate the performance of the proposed MPI angular sweeping with respect to accuracy, efficiency, scalability, and the peak memory requirement.

Original languageEnglish
Article number9050514
Pages (from-to)1752-1760
Number of pages9
JournalIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Volume13
DOIs
Publication statusPublished - 2020

Keywords

  • Distributed memory parallel platform
  • message passing interface (MPI) parallelization
  • randomized low-rank decomposition
  • rank deficiency

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