Title :
An FE-BI-MLFMA with GPU acceleration for electromagnetic scattering analysis
Author :
Jian Guan ; Su Yan ; Jian-Ming Jin
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Illinois at Urbana-Champaign, Urbana, IL, USA
Abstract :
A GPU-incorporated finite element-boundary integral algorithm with the acceleration of the multilevel fast multipole algorithm is presented for computing electromagnetic scattering from objects with complex structures and materials. The radar cross sections (RCS) are calculated to demonstrate the accuracy and efficiency of the proposed algorithm. Compared with the 8-threaded CPU-FE-BI-MLFMA (Intel Xeon W3520 @2.67GHz), this algorithm can achieve 27.3 times speedup in matrix assembly and 12.1 times speedup in matrix-vector product on a GeForce GTX 660 with 2GB memory.
Keywords :
electrical engineering computing; electromagnetic wave scattering; finite element analysis; graphics processing units; integral equations; matrix algebra; radar cross-sections; vectors; FE-BI-MLFMA; GPU acceleration; GPU-incorporated finite element-boundary integral algorithm; GeForce GTX 660; Intel Xeon W3520; RCS; electromagnetic scattering analysis; frequency 2.67 GHz; matrix assembly; matrix-vector product; multilevel fast multipole algorithm; radar cross sections; Acceleration; Equations; Graphics processing units;
Conference_Titel :
Antennas and Propagation Society International Symposium (APSURSI), 2014 IEEE
Conference_Location :
Memphis, TN
Print_ISBN :
978-1-4799-3538-3
DOI :
10.1109/APS.2014.6904703
