GPU implementation for spline-based wavefront reconstruction
| Autor: | Michel Verhaegen, Elisabeth Brunner, Cornelis C. de Visser, Cornelis Vuik |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Wavefront
Propagation of uncertainty business.industry Computer science Computation 010103 numerical & computational mathematics 01 natural sciences Atomic and Molecular Physics and Optics Deformable mirror Electronic Optical and Magnetic Materials Computational science 010309 optics CUDA Spline (mathematics) Optics 0103 physical sciences Computer Vision and Pattern Recognition 0101 mathematics Graphics business Adaptive optics |
| Zdroj: | Journal of the Optical Society of America A: Optics and Image Science, and Vision, 35(6) |
| ISSN: | 1084-7529 |
| DOI: | 10.1364/josaa.35.000859 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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