2009Digest - IEEE Antennas and Propagation Society. International SymposiumRequires access

Acceleration of large-scale FDTD simulations on high performance GPU clusters

Cen Ong, M. Weldon, D. Cyca, M. Okoniewski

Open publisher page 14 citations

Abstract

In this paper,a scalable graphics processing unit (GPU) cluster solution for the acceleration of FDTD for large-scale simulations is proposed. The hardware and software implementations are described. To illustrate the speed performance of the cluster, the simulation results of a cubic resonator with PEC boundaries is presented. A realistic large-scale simulation performed using SEMCAD X from SPEAG, accelerated by Acceleware's software libraries and GPU cluster solution is also presented.

About this research paper

What this paper is about

In this paper,a scalable graphics processing unit (GPU) cluster solution for the acceleration of FDTD for large-scale simulations is proposed. The hardware and software implementations are described. To illustrate the speed performance of the cluster, the simulation results of a cubic resonator with PEC boundaries is presented. A realistic large-scale simulation performed using SEMCAD X from SPEAG, accelerated by Acceleware's software libraries and GPU cluster solution is also presented.

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OpenAlex reports 14 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

In this paper,a scalable graphics processing unit (GPU) cluster solution for the acceleration of FDTD for large-scale simulations is proposed. The hardware and software implementations are described. To illustrate the speed performance of the cluster, the simulation results of a cubic resonator with PEC boundaries is presented. A realistic large-scale simulation performed using SEMCAD X from SPEAG, accelerated by Acceleware's software libraries and GPU cluster solution is also presented.

Key concepts: Acceleration, Computational science, Graphics processing unit, GPU cluster, Computer science, Scalability, Finite-difference time-domain method, Cluster (spacecraft)

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