The use of CPU, GPU and FPGA in real-time control of adaptive optics systems

The use of CPU, GPU and FPGA in real-time control of adaptive optics systems
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CPU、GPU和FPGA在自适应光学系统实时控制中的应用

DOI:
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发表时间:
2015
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影响因子:
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通讯作者:
J. M. Ramos
J. M. Ramos
中科院分区:
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作者:
Luis Fernando Rodríguez Ramos;José Javier Díaz García;J. Valdivia;H. Chulani;C. Colodro;J. M. Ramos

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在自适应光学(AO)系统中使用可变形镜来补偿大气湍流的影响需要利用波前传感器提供的信息非常快速地计算足够的命令。以最小的延迟提供准确的结果对于实现最佳性能至关重要。传统的 CPU、GPU 和 FPGA 已成功用于 IAC 的多个项目(EDIFISE、AOLI、AOconFPGA、GTCAO)的 AO 实时控制。基于这些经验,本文进行了比较描述,指出了每个项目所看到的每种解决方案的优缺点。
The use of deformable mirrors for the compensation of the effect of the atmospheric turbulence in Adaptive Optics (AO) systems requires a very fast computation of the adequate commands with the information provided by wavefront sensors. Providing accurate results with minimum latency is vital to achieve optimum performance. Conventional CPUs, GPUs and also FPGAs have been successfully used in real-time control for AO at IAC for a number of projects (EDIFISE, AOLI, AOconFPGA, GTCAO). Based in this experience, a comparative description is made in this paper, pointing out advantages and drawbacks of each solution as seen by each of the projects.
AOLI:自适应光学幸运成像仪:大型地面望远镜可见光中的衍射受限成像
DOI: 10.1117/12.925618
发表时间: 2012
期刊: --
影响因子: --
作者:
Mackay C
通讯作者: Mackay C