GPU-based accelerated 2D and 3D FDTD solvers

Daniel K. Price; John R. Humphrey; Eric J. Kelmelis

doi:10.1117/12.715044

22 March 2007 GPU-based accelerated 2D and 3D FDTD solvers

Daniel K. Price, John R. Humphrey, Eric J. Kelmelis

Proceedings Volume 6468, Physics and Simulation of Optoelectronic Devices XV; 646806 (2007) https://doi.org/10.1117/12.715044
Event: Integrated Optoelectronic Devices 2007, 2007, San Jose, California, United States

Abstract

Our group has employed the use of modern graphics processor units (GPUs) for the acceleration of finite-difference based computational electromagnetics (CEM) codes. In particular, we accelerated the well-known Finite-Difference Time-Domain (FDTD) method, which is commonly used for the analysis of electromagnetic phenomena. This algorithm uses difference-based approximations for Maxwell's Equations to simulate the propagation of electromagnetic fields through space and materials. The method is very general and is applicable to a wide array of problems, but runtimes can be very long so acceleration is highly desired. In this paper we present GPU-based accelerated solvers for the FDTD method in both its 2D and 3D embodiments.

Citation Download Citation

Daniel K. Price, John R. Humphrey, and Eric J. Kelmelis "GPU-based accelerated 2D and 3D FDTD solvers", Proc. SPIE 6468, Physics and Simulation of Optoelectronic Devices XV, 646806 (22 March 2007); https://doi.org/10.1117/12.715044

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