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题名:
Real-time processor based on GPU for on-line performance evaluation of the 127-element adaptive optics system
作者: Zhou, Han1,2; Zhou, Lu-Chun1
出版日期: 2013
会议名称: Proceedings of SPIE: International Symposium on Photoelectronic Detection and Imaging 2013: Laser Communication Technologies and Systems
会议日期: 2013
学科分类: Adaptive optics - Digital storage - Optical transfer function - Video signal processing
DOI: 10.1117/12.2034345
中文摘要: In this paper, a real-time on-line performance evaluation processor based on graphic processing unit (GPU) for adaptive optics (AO) system is presented, aiming to monitor the 127-element AO system during its close-loop work by quantifying its correction results, which can provide reference to improve the performance of the system. Since there is a contradiction between the heavy computation burden and the real-time processing requirement, we modified operations and algorithms to fit the CPU-GPU heterogeneous environment, in which GPU is used to handle the complex computation but simple logicality, and CPU is assigned to undertake data transportation between internal storage and video memory, as well as some small-scale computations. In the real-time processor, performance parameters to be computed include peak-valley (PV) and root-mean-square (RMS) of near-field wavefront phase, point spread function (PSF), full width half maximum (FWHM) of far-field image, modulation transfer function (MTF) and Strehl ratio (SR). And the inputs are residual slopes obtained from Hartmann wavefront sensor of 127-element AO system. By computation 4096 frames of parameters, the average rate by single precision is 4.11ms/frame. © 2013 Copyright SPIE.
英文摘要: In this paper, a real-time on-line performance evaluation processor based on graphic processing unit (GPU) for adaptive optics (AO) system is presented, aiming to monitor the 127-element AO system during its close-loop work by quantifying its correction results, which can provide reference to improve the performance of the system. Since there is a contradiction between the heavy computation burden and the real-time processing requirement, we modified operations and algorithms to fit the CPU-GPU heterogeneous environment, in which GPU is used to handle the complex computation but simple logicality, and CPU is assigned to undertake data transportation between internal storage and video memory, as well as some small-scale computations. In the real-time processor, performance parameters to be computed include peak-valley (PV) and root-mean-square (RMS) of near-field wavefront phase, point spread function (PSF), full width half maximum (FWHM) of far-field image, modulation transfer function (MTF) and Strehl ratio (SR). And the inputs are residual slopes obtained from Hartmann wavefront sensor of 127-element AO system. By computation 4096 frames of parameters, the average rate by single precision is 4.11ms/frame. © 2013 Copyright SPIE.
收录类别: Ei
语种: 英语
卷号: 8906
ISSN号: 0277786X
文章类型: 会议论文
页码: 89061Q
Citation statistics:
内容类型: 会议论文
URI标识: http://ir.ioe.ac.cn/handle/181551/7804
Appears in Collections:自适应光学技术研究室(八室)_会议论文

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作者单位: 1. Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu, Sichuan 610209, China
2. University of Chinese Academy of Sciences, Beijing 100039, China

Recommended Citation:
Zhou, Han,Zhou, Lu-Chun. Real-time processor based on GPU for on-line performance evaluation of the 127-element adaptive optics system[C]. 见:Proceedings of SPIE: International Symposium on Photoelectronic Detection and Imaging 2013: Laser Communication Technologies and Systems. 2013.
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