Speed efficiency optimization for GPU accelerated rigorous coupled-wave analysis program

Jingxiao Xu; Martin D. B. Charlton

doi:10.1117/12.2650022

10 March 2023 Speed efficiency optimization for GPU accelerated rigorous coupled-wave analysis program

Jingxiao Xu, Martin D. B. Charlton

Proceedings Volume 12415, Physics and Simulation of Optoelectronic Devices XXXI; 124150J (2023) https://doi.org/10.1117/12.2650022
Event: SPIE OPTO, 2023, San Francisco, California, United States

Abstract

Rigorous Coupled Wave Analysis (RCWA) method is highly efficient for the simulation of diffraction efficiency and field distribution patterns in periodic structures and textured optoelectronic devices such as VCSELs, LEDs, and DOEs. RCWA provides exact solutions provided the Fourier expansion has infinite order. In practice, the Fourier expansion must be truncated due to computer memory limitations. Researchers are trying to utilize fast convergence algorithms such as the ‘normal vector method’ and ‘Li’s rule’ which could obtain accurate TM mode results with fewer Fourier orders. However, to thoroughly investigating the behavior of a structure usually requires thousand and even millions of RCWA simulations which may last hours and days. GPU is highly suitable for solutions of complex systems allowing large-scale multi-threaded parallel programming (< 1000 / low-end GPU, <5k / high-end GPU) to speed up matrix computations significantly. In this paper, we present a high-speed RCWA program utilizing optimized CUDA-GPU code and MAGMA libraries. It achieves 2-6 X speedup compared to conventional multithreaded CPU-based code utilizing the Intel MKL library running on IRIDIS 5 super-computer (1 NVIDIA v100 GPU, 40 Intel Xeon Gold 6138 2.0GHz cores CPU)

Conference Presentation

Citation Download Citation

Jingxiao Xu and Martin D. B. Charlton "Speed efficiency optimization for GPU accelerated rigorous coupled-wave analysis program", Proc. SPIE 12415, Physics and Simulation of Optoelectronic Devices XXXI, 124150J (10 March 2023); https://doi.org/10.1117/12.2650022

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