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Real-time processor based on GPU for on-line performance evaluation of the 127-element adaptive optics system
Zhou, Han1,2; Zhou, Lu-Chun1
Volume8906
Pages89061Q
2013
Language英语
ISSN0277786X
DOI10.1117/12.2034345
Indexed ByEi
Subtype会议论文
AbstractIn 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.; 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.
Conference NameProceedings of SPIE: International Symposium on Photoelectronic Detection and Imaging 2013: Laser Communication Technologies and Systems
Conference Date2013
Citation statistics
Document Type会议论文
Identifierhttp://ir.ioe.ac.cn/handle/181551/7804
Collection自适应光学技术研究室(八室)
Affiliation1. 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
GB/T 7714
Zhou, Han,Zhou, Lu-Chun. Real-time processor based on GPU for on-line performance evaluation of the 127-element adaptive optics system[C],2013:89061Q.
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