A compact Multi-core CPU based adaptive optics real-time controller | |
Chen Shanqiu; Zhao Enyi; Xu Bing; Ye Yutang | |
2014 | |
会议名称 | Proceedings of SPIE: 7TH INTERNATIONAL SYMPOSIUM ON ADVANCED OPTICAL MANUFACTURING AND TESTING TECHNOLOGIES: LARGE MIRRORS AND TELESCOPES |
会议日期 | 2014 |
卷号 | 9280 |
页码 | 928012 |
通讯作者 | Chen, SQ (reprint author), Chinese Acad Sci, Key Lab Adapt Opt, Inst Opt & Elect, Chengdu 610209, Peoples R China. |
中文摘要 | The performance of Adaptive Optics (AO) real-time controller based on Central Processing Unit (CPU) has significantly progressed due to the introduction of the high speed frame-grabber and a 4-cores CPU, which make it possible to process at frequency over 2000 Hz for 4-meter-class telescope and to integrate the real-time task and the user interface program in this compact device. The detailed architecture of this computation system is demonstrated in this paper, and the performance and suitability of this architecture is also discussed by measuring the latency of the controller processing via an adaptive optics emulator system with 16 times 16 and 32 times 32 sub-aperture, and the overall typical processing time is 61 us and 322 us respectively. Test result turns out that it is well suited for the next generation 4-meter-class adaptive optics system and it is possible to process at frequency over 2000 Hz for a 3000-element AO system in 10-meter-class telescope with one board of art-of-the-state computer and a frame-grabber. Comparison with GPU and FPGA based architecture is also discussed in this paper. |
英文摘要 | The performance of Adaptive Optics (AO) real-time controller based on Central Processing Unit (CPU) has significantly progressed due to the introduction of the high speed frame-grabber and a 4-cores CPU, which make it possible to process at frequency over 2000 Hz for 4-meter-class telescope and to integrate the real-time task and the user interface program in this compact device. The detailed architecture of this computation system is demonstrated in this paper, and the performance and suitability of this architecture is also discussed by measuring the latency of the controller processing via an adaptive optics emulator system with 16 times 16 and 32 times 32 sub-aperture, and the overall typical processing time is 61 us and 322 us respectively. Test result turns out that it is well suited for the next generation 4-meter-class adaptive optics system and it is possible to process at frequency over 2000 Hz for a 3000-element AO system in 10-meter-class telescope with one board of art-of-the-state computer and a frame-grabber. Comparison with GPU and FPGA based architecture is also discussed in this paper. |
学科主题 | Adaptive optics; telescope; real-time controller; multi-core; Linux |
语种 | 英语 |
ISSN号 | 0277-786X |
内容类型 | 会议论文 |
源URL | [http://ir.ioe.ac.cn/handle/181551/7805] ![]() |
专题 | 光电技术研究所_自适应光学技术研究室(八室) |
作者单位 | 1.[Chen Shanqiu 2.Zhao Enyi 3.Xu Bing] Chinese Acad Sci, Key Lab Adapt Opt, Inst Opt & Elect, Chengdu 610209, Peoples R China |
推荐引用方式 GB/T 7714 | Chen Shanqiu,Zhao Enyi,Xu Bing,et al. A compact Multi-core CPU based adaptive optics real-time controller[C]. 见:Proceedings of SPIE: 7TH INTERNATIONAL SYMPOSIUM ON ADVANCED OPTICAL MANUFACTURING AND TESTING TECHNOLOGIES: LARGE MIRRORS AND TELESCOPES. 2014. |
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