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Computation reduction oriented circular scanning SAR raw data simulation on multi-GPUs

  • Chen Hu
  • , Fan Zhang
  • , Guojun Li
  • , Wei Li
  • , Zhongma Cui
  • Beijing University of Chemical Technology
  • Beijing Remote Sensing Equipment Research Institute

Research output: Contribution to journalArticlepeer-review

Abstract

As a special working mode, the circular scanning Synthetic Aperture Radar (SAR) is widely used in the earth observation. With the increase of resolution and swath width, the simulation data has a massive increase, which boosts the new requirements of efficiency. Through analyzing the redundancy in the raw data simulation based on Graphics Processing Unit (GPU), a fast simulation method considering reduction of redundant computation is realized by the multi-GPUs and Message Passing Interface (MPI). The results show that the efficiency of 4-GPUs increases 2 times through the redundant reduction, and the hardware cost decreases by 50%, thus the overall speedup achieves 350 times than the traditional CPU simulation.

Original languageEnglish
Pages (from-to)434-443
Number of pages10
JournalJournal of Radars
Volume5
Issue number4
DOIs
Publication statusPublished - 28 Aug 2016
Externally publishedYes

Keywords

  • Circular scanning SAR
  • Computing optimization
  • GPU parallel
  • Raw data simulation

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