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
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;
Conference_Titel :
Antennas and Propagation Society International Symposium (APSURSI), 2013 IEEE
Conference_Location :
Orlando, FL
Print_ISBN :
978-1-4673-5315-1
DOI :
10.1109/APS.2013.6711599
