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Proceedings Paper

Accelerating diffractive optics design with GPU-based parallel technique
Author(s): Kan Liu; Hui Li; Xinyu Zhang; Dehua Li; Mingyue Wei; Bin Li; ChangSheng Xie; Tianxu Zhang
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Paper 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.

Paper Details

Date Published: 19 August 2010
PDF: 9 pages
Proc. SPIE 7786, Current Developments in Lens Design and Optical Engineering XI; and Advances in Thin Film Coatings VI, 778609 (19 August 2010); doi: 10.1117/12.860455
Show Author Affiliations
Kan Liu, Huazhong Univ. of Science and Technology (China)
Wuhan National Lab. for Optoelectronics (China)
Hui Li, Huazhong Univ. of Science and Technology (China)
Wuhan National Lab. for Optoelectronics (China)
Xinyu Zhang, Huazhong Univ. of Science and Technology (China)
Wuhan National Lab. for Optoelectronics (China)
Dehua Li, Huazhong Univ. of Science and Technology (China)
Mingyue Wei, Huazhong Univ. of Science and Technology (China)
Bin Li, Huazhong Univ. of Science and Technology (China)
ChangSheng Xie, Wuhan National Lab. for Optoelectronics (China)
Tianxu Zhang, Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 7786:
Current Developments in Lens Design and Optical Engineering XI; and Advances in Thin Film Coatings VI
R. Barry Johnson; Virendra N. Mahajan; Simon Thibault, Editor(s)

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