21 August 2013 Real-time processor based on GPU for on-line performance evaluation of the 127-element adaptive optics system
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Proceedings Volume 8906, International Symposium on Photoelectronic Detection and Imaging 2013: Laser Communication Technologies and Systems; 89061Q (2013) https://doi.org/10.1117/12.2034345
Event: ISPDI 2013 - Fifth International Symposium on Photoelectronic Detection and Imaging, 2013, Beijing, China
Abstract
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.
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Han Zhou, Han Zhou, Lu-chun Zhou, Lu-chun Zhou, } "Real-time processor based on GPU for on-line performance evaluation of the 127-element adaptive optics system", Proc. SPIE 8906, International Symposium on Photoelectronic Detection and Imaging 2013: Laser Communication Technologies and Systems, 89061Q (21 August 2013); doi: 10.1117/12.2034345; https://doi.org/10.1117/12.2034345
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