Volume 5 Issue 4
Aug.  2016
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Article Navigation >  Journal of Radars  > 2016  >  5(4): 434-443
HU Chen, ZHANG Fan, LI Guojun, LI Wei, CUI Zhongma. Computation Reduction Oriented Circular Scanning SAR Raw Data Simulation on Multi-GPUs[J]. Journal of Radars, 2016, 5(4): 434-443. doi: 10.12000/JR15078
Citation: HU Chen, ZHANG Fan, LI Guojun, LI Wei, CUI Zhongma. Computation Reduction Oriented Circular Scanning SAR Raw Data Simulation on Multi-GPUs[J]. Journal of Radars, 2016, 5(4): 434-443. doi: 10.12000/JR15078
shu

Computation Reduction Oriented Circular Scanning SAR Raw Data Simulation on Multi-GPUs

doi: 10.12000/JR15078
  • 1.

    (College of Information Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China)

  • 2.

    (Beijing Remote Sensing Equipment Research Institute, Beijing 100854, China)

Funds:

The National Natural Science Foundation of China (61501018, 61302164), The Fundamental Research Funds for the Central Universities (YS1404), The Beijing Higher Education Young Elite Teacher Project (YETP0500)

  • Received Date: 2015-06-18
  • Rev Recd Date: 2015-09-14
  • Publish Date: 2016-08-28
    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.

     

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