Scalable platform for adaptive optics real-time control, part 2: field programmable gate array implementation and performance

Avinash Surendran; Mahesh P. Burse; Anamparambu N. Ramaprakash; Padmakar S. Parihar

doi:10.1117/1.JATIS.4.3.039002

31 July 2018 Scalable platform for adaptive optics real-time control, part 2: field programmable gate array implementation and performance

Avinash Surendran, Mahesh P. Burse, Anamparambu N. Ramaprakash, Padmakar S. Parihar

Author Affiliations +

Journal of Astronomical Telescopes, Instruments, and Systems, Vol. 4, Issue 3, 039002 (July 2018). https://doi.org/10.1117/1.JATIS.4.3.039002

Abstract

The next generation of adaptive optics (AO) systems on large telescopes will require immense computation performance and memory bandwidth, both of which are challenging with the technology available today. The objective of this work is to create a future-proof AO platform on a field programmable gate array (FPGA) architecture, which scales with the number of subapertures, pixels per subaperture, and external memory. We have created a scalable AO platform with an off-the-shelf FPGA development board, which provides an AO reconstruction time only limited by the external memory bandwidth. SPARC uses the same logic resources irrespective of the number of subapertures in the AO system. This paper is aimed at embedded developers who are interested in the FPGA design and the accompanying hardware interfaces. The central theme of this paper is to show how scalability is incorporated at different levels of the FPGA implementation. This work is a continuation of part 1 of the paper, which explains the concept, objectives, control scheme, and method of validation used for testing the platform.

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Avinash Surendran, Mahesh P. Burse, Anamparambu N. Ramaprakash, and Padmakar S. Parihar "Scalable platform for adaptive optics real-time control, part 2: field programmable gate array implementation and performance," Journal of Astronomical Telescopes, Instruments, and Systems 4(3), 039002 (31 July 2018). https://doi.org/10.1117/1.JATIS.4.3.039002

Received: 17 January 2018; Accepted: 29 June 2018; Published: 31 July 2018

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