Paper
2 September 2014 A compact multi-core CPU based adaptive optics real-time controller
Shanqiu Chen, Enyi Zhao, Bing Xu, Yutang Ye
Author Affiliations +
Proceedings Volume 9280, 7th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Large Mirrors and Telescopes; 928012 (2014) https://doi.org/10.1117/12.2068322
Event: 7th International Symposium on Advanced Optical Manufacturing and Testing Technologies (AOMATT 2014), 2014, Harbin, China
Abstract
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.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Shanqiu Chen, Enyi Zhao, Bing Xu, and Yutang Ye "A compact multi-core CPU based adaptive optics real-time controller", Proc. SPIE 9280, 7th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Large Mirrors and Telescopes, 928012 (2 September 2014); https://doi.org/10.1117/12.2068322
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Cited by 5 scholarly publications.
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KEYWORDS
Adaptive optics

Computing systems

Field programmable gate arrays

Reconstruction algorithms

Human-machine interfaces

Telecommunications

Frame grabbers

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