Computation Reduction Oriented Circular Scanning SAR Raw Data Simulation on Multi-GPUs
HU Chen① ZHANG Fan*① LI Guojun① LI Wei① CUI Zhongma②
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)
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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HU Chen, ZHANG Fan, LI Guojun, LI Wei, CUI Zhongma. Computation Reduction Oriented Circular Scanning SAR Raw Data Simulation on Multi-GPUs. JOURNAL OF RADARS, 2016, 5(4): 434-443.
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