GPU-based fast processing for a distributed acoustic sensor using an LFM pulse
| Autor: | Zhe Ma, Zhenyang Ding, Shuanghao Wang, Zhankun Lv, Tianhua Xu, Junfeng Jiang, Tiegen Liu, Shuang Wang |
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| Rok vydání: | 2020 |
| Předmět: |
business.industry
Computer science Fast Fourier transform Graphics processing unit Acoustic sensor Multiprocessing Thread (computing) 01 natural sciences Atomic and Molecular Physics and Optics Computational science 010309 optics Optics Fiber Bragg grating 0103 physical sciences Electrical and Electronic Engineering business Engineering (miscellaneous) |
| Zdroj: | Applied optics. 59(35) |
| ISSN: | 1539-4522 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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