DocumentCode
2888289
Title
Graphics processing unit accelerated Fast Multipole Method - Fast Fourier Transform
Author
Quang Nguyen ; Vinh Dang ; Kilic, Ozlem
Author_Institution
Dept. of Electr. Eng. & Comput. Sci., Catholic Univ. of America, Washington, DC, USA
fYear
2013
fDate
7-13 July 2013
Firstpage
1882
Lastpage
1883
Abstract
In this paper, we investigate the parallelization of the single level Fast Multipole Method (FMM) combined with Fast Fourier Transform (FFT) for solving large-scale electromagnetic scattering problems. We evaluate the performance on our 13-node GPU cluster supported by Nvidia Tesla M2090 GPUs. The paper discusses the implementation details and the performance achievements in terms of accuracy, speed up and scalability.
Keywords
electrical engineering computing; electromagnetic wave scattering; fast Fourier transforms; graphics processing units; mathematics computing; 13-node GPU cluster; Nvidia Tesla M2090 GPU; fast Fourier transform; graphics processing unit accelerated fast multipole method; large-scale electromagnetic scattering problems; performance evaluation; Electromagnetic scattering; Equations; Graphics processing units; Mathematical model; Method of moments; Scalability;
fLanguage
English
Publisher
ieee
Conference_Titel
Antennas and Propagation Society International Symposium (APSURSI), 2013 IEEE
Conference_Location
Orlando, FL
ISSN
1522-3965
Print_ISBN
978-1-4673-5315-1
Type
conf
DOI
10.1109/APS.2013.6711599
Filename
6711599
Link To Document