Accelerating diffractive optics design with GPU-based parallel technique

Kan Liu; Hui Li; Xinyu Zhang; Dehua Li; Mingyue Wei; Bin Li; ChangSheng Xie; Tianxu Zhang

doi:10.1117/12.860455

19 August 2010 Accelerating diffractive optics design with GPU-based parallel technique

Kan Liu, Hui Li, Xinyu Zhang, Dehua Li, Mingyue Wei, Bin Li, ChangSheng Xie, Tianxu Zhang

Proceedings Volume 7786, Current Developments in Lens Design and Optical Engineering XI; and Advances in Thin Film Coatings VI; 778609 (2010) https://doi.org/10.1117/12.860455
Event: SPIE Optical Engineering + Applications, 2010, San Diego, California, United States

Abstract

In this paper GPU based data parallel technique is used to reduce calculating time in diffractive optics elements (DOE) design. By using compute unified device architecture (CUDA) framework, comparison of acceleration radio of some major methods using in DOE design, including Gerchberg Saxton algorithm for global optimization in conjunction with Rayleigh-Sommerfeld diffractive integrating transformation, genetic algorithm with a finite-difference time-domain method and simulated annealing algorithm, is made with demonstrational DOE-lens design, whose focal spot size is 0.5 μm, incident light wavelength is 650 nm, focal length is 3mm, DOE aperture size is 2mm.

Citation Download Citation

Kan Liu, Hui Li, Xinyu Zhang, Dehua Li, Mingyue Wei, Bin Li, ChangSheng Xie, and Tianxu Zhang "Accelerating diffractive optics design with GPU-based parallel technique", Proc. SPIE 7786, Current Developments in Lens Design and Optical Engineering XI; and Advances in Thin Film Coatings VI, 778609 (19 August 2010); https://doi.org/10.1117/12.860455

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