GPU-based fast processing for a distributed acoustic sensor using an LFM pulse

GPU-based fast processing for a distributed acoustic sensor using an LFM pulse

We carried out a fast processing investigation based on a graphics processing unit (GPU) for a distributed acoustic sensor using a linear frequency modulation pulse. The moving window cross-correlation calculations are realized on the GPU, which makes use of parallel computing. We analyzed the effec...

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Veröffentlicht in:Applied optics (2004) 2020-12, Vol.59 (35), p.11098-11103
Hauptverfasser: Wang, Shuanghao, Jiang, Junfeng, Wang, Shuang, Ma, Zhe, Xu, Tianhua, Ding, Zhenyang, Lv, Zhankun, Liu, Tiegen
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Frequency modulation
Graphics processing units
Mathematical analysis
Multiprocessing
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container_end_page 11103
container_issue 35
container_start_page 11098
container_title Applied optics (2004)
container_volume 59
creator Wang, Shuanghao
Jiang, Junfeng
Wang, Shuang
Ma, Zhe
Xu, Tianhua
Ding, Zhenyang
Lv, Zhankun
Liu, Tiegen
description We carried out a fast processing investigation based on a graphics processing unit (GPU) for a distributed acoustic sensor using a linear frequency modulation pulse. The moving window cross-correlation calculations are realized on the GPU, which makes use of parallel computing. We analyzed the effect of the thread number in a block on the GPU streaming multiprocessor utilization efficiency and then compared the acceleration under different calculation scales. By maximizing the streaming multiprocessor utilization efficiency and large calculation scale, a maximum acceleration ratio of 86.01 was obtained.
doi_str_mv 10.1364/AO.412184
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source Alma/SFX Local Collection; Optica Publishing Group Journals
subjects Frequency modulation
Graphics processing units
Mathematical analysis
Multiprocessing
title GPU-based fast processing for a distributed acoustic sensor using an LFM pulse
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