GPGPU-based ADE-FDTD method for fast electromagnetic field simulation and its estimation
Yuta Inoue, Masaki Unno, Shuichi Aono, Hideki Asai
Abstract
Yuta Inoue, Masaki Unno, Shuichi Aono, Hideki Asai
Abstract
In this paper, GPGPU(the general purpose computing on graphics processing units)-based ADE-FDTD (alternating-direction-explicit finite-difference time-domain) method is proposed for a massively parallel electromagnetic field simulation of large-scale problems. First, the ADE-FDTD method, which is an almost unconditionally stable algorithm, is described briefly. Next, implementation technique of the ADE-FDTD method on the GPGPU is shown. Finally, the efficiency of the GPGPU-based ADE-FDTD method is evaluated by performing computer simulations.
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In this paper, GPGPU(the general purpose computing on graphics processing units)-based ADE-FDTD (alternating-direction-explicit finite-difference time-domain) method is proposed for a massively parallel electromagnetic field simulation of large-scale problems. First, the ADE-FDTD method, which is an almost unconditionally stable algorithm, is described briefly. Next, implementation technique of the ADE-FDTD method on the GPGPU is shown. Finally, the efficiency of the GPGPU-based ADE-FDTD method is evaluated by performing computer simulations.
Key concepts: Finite-difference time-domain method, General-purpose computing on graphics processing units, Graphics processing unit, Computer science, Computational science, Graphics, CUDA, Electromagnetic field