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

doi:10.1109/JSTARS.2020.2981124

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 journal › Article › peer-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 language	English
Article number	9050514
Pages (from-to)	1752-1760
Number of pages	9
Journal	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Volume	13
DOIs	https://doi.org/10.1109/JSTARS.2020.2981124
Publication status	Published - 2020

Keywords

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

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10.1109/JSTARS.2020.2981124

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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.",

keywords = "Distributed memory parallel platform, message passing interface (MPI) parallelization, randomized low-rank decomposition, rank deficiency",

author = "Huang, \{Si Lu\} and Wei Song and Wang, \{Yi Zhuo\} and Wu, \{Yu Mao\} and Pan, \{Xiao Min\} and Sheng, \{Xin Qing\}",

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AU - Song, Wei

AU - Wang, Yi Zhuo

AU - Wu, Yu Mao

AU - Pan, Xiao Min

AU - Sheng, Xin Qing

PY - 2020

Y1 - 2020

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AB - 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.

KW - Distributed memory parallel platform

KW - message passing interface (MPI) parallelization

KW - randomized low-rank decomposition

KW - rank deficiency

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DO - 10.1109/JSTARS.2020.2981124

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JO - IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

JF - IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

M1 - 9050514

ER -

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

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Keywords

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