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Feasibility Analysis of Low Cost Graphical Processing Units for Electromagnetic Field Simulations by Finite Difference Time Domain Method

by A. V. Choudhari, N. A. Pande, M. R. Gupta
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 67 - Number 24
Year of Publication: 2013
Authors: A. V. Choudhari, N. A. Pande, M. R. Gupta
10.5120/11739-7396

A. V. Choudhari, N. A. Pande, M. R. Gupta . Feasibility Analysis of Low Cost Graphical Processing Units for Electromagnetic Field Simulations by Finite Difference Time Domain Method. International Journal of Computer Applications. 67, 24 ( April 2013), 30-33. DOI=10.5120/11739-7396

@article{ 10.5120/11739-7396,
author = { A. V. Choudhari, N. A. Pande, M. R. Gupta },
title = { Feasibility Analysis of Low Cost Graphical Processing Units for Electromagnetic Field Simulations by Finite Difference Time Domain Method },
journal = { International Journal of Computer Applications },
issue_date = { April 2013 },
volume = { 67 },
number = { 24 },
month = { April },
year = { 2013 },
issn = { 0975-8887 },
pages = { 30-33 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume67/number24/11739-7396/ },
doi = { 10.5120/11739-7396 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:26:22.628283+05:30
%A A. V. Choudhari
%A N. A. Pande
%A M. R. Gupta
%T Feasibility Analysis of Low Cost Graphical Processing Units for Electromagnetic Field Simulations by Finite Difference Time Domain Method
%J International Journal of Computer Applications
%@ 0975-8887
%V 67
%N 24
%P 30-33
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Among several techniques available for solving Computational Electromagnetics (CEM) problems, the Finite Difference Time Domain (FDTD) method is one of the best suited approaches when a parallelized hardware platform is used. In this paper we investigate the feasibility of implementing the FDTD method using the NVIDIA® GT 520, a low cost Graphical Processing Unit (GPU), for solving the differential form of Maxwell's equation in time domain. Initially a generalized benchmarking problem of bandwidth test and another benchmarking problem of 'matrix left division is discussed for understanding the correlation between the problem size and the performance on the CPU and the GPU respectively. This is further followed by the discussion of the FDTD method, again implemented on both, the CPU and the GT520 GPU. For both of the above comparisons, the CPU used is Intel ® E5300, a low cost dual core CPU.

References
  1. Matthew Livesey et. al, "Development of a CUDA Implementation of the 3D FDTD Method" IEEE Antennas and Propagation Magazine, Vol. 54, No. 5, October 2012 .
  2. Danilo De Donno et. al, "Introduction to GPU Computing and CUDA Programing:A case Study on FDTD" IEEE Antennas and Propagation Magazine, Vol. 52, No. 3, June 2010 .
  3. John. B Schneider, Understanding the Finite-Difference Time-Domain Method, www. eecs. wsu. edu/~schneidj/ufdtd, 2010.
  4. Atef Z. Elsherbeni, Chapter 7, Handbook of Antennas In Wireless Communication, CRC Press, 2002.
  5. C. A. Balanis. Advanced Engineering Electromagnetics. John Wiley & Sons, New York, 1989.
  6. A. Taflove, Computational Electrodynamics: The Finite-Difference Time-Domain Method. , 1995 :Artech House.
Index Terms

Computer Science
Information Sciences

Keywords

CUDA Maxwell's Equation Numerical Solution GPGPU Computing

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