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 |
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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 | |
Publication status | Published - 2020 |
Keywords
- Distributed memory parallel platform
- message passing interface (MPI) parallelization
- randomized low-rank decomposition
- rank deficiency