GPU implementation for spline-based wavefront reconstruction

GPU implementation for spline-based wavefront reconstruction

Brunner, A.E. (TU Delft Numerics for Control & Identification)
de Visser, C.C. (TU Delft Control & Simulation)
Vuik, Cornelis (TU Delft Numerical Analysis)
Verhaegen, M.H.G. (TU Delft Numerics for Control & Identification)

2018

This paper presents an adaptation of the distributed-spline-based aberration reconstruction method for Shack–Hartmann (SH) slope measurements to extremely large-scale adaptive optics systems and the execution on graphics processing units (GPUs). The introduction of a hierarchical multi-level scheme for the elimination of piston offsets between the locally computed wavefront (WF) estimates solves the piston error propagation observed for a large number of partitions with the original version. To obtain a fully distributed method for WF correction, the projection of the phase estimates is locally approximated and applied in a distributed fashion, providing stable results for low and medium actuator coupling. An implementation of the method with the parallel computing platform CUDA exploits the inherently distributed nature of the algorithm. With a standard off-the-shelf GPU, the computation of the adaptive optics correction updates is accomplished in under 1 ms for the benchmark case of a 200×200 SH array.

http://resolver.tudelft.nl/uuid:dd09a1c0-0fff-47b9-ba6e-10928937d371

https://doi.org/10.1364/JOSAA.35.000859

1084-7529

Journal of the Optical Society of America A: Optics and Image Science, and Vision, 35 (6), 859-872

Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

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© 2018 A.E. Brunner, C.C. de Visser, Cornelis Vuik, M.H.G. Verhaegen