2011Asia-Pacific Microwave ConferenceRequires access

GPGPU-based ADE-FDTD method for fast electromagnetic field simulation and its estimation

Yuta Inoue, Masaki Unno, Shuichi Aono, Hideki Asai

Open publisher page 1 citations

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.

About this research paper

What this paper is about

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.

Why it matters

OpenAlex reports 1 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available 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.

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

Related papers

Back to paper searchBrowse research topicsOriginal source
GPGPU-based ADE-FDTD method for fast electromagnetic field simulation and its estimation — Research Paper | ScholarLens