@inproceedings{be709ba588bc41689e17bffa2fd4db5f,
title = "An FE-BI-MLFMA with GPU acceleration for electromagnetic scattering analysis",
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.",
author = "Jian Guan and Su Yan and Jin, {Jian Ming}",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 IEEE Antennas and Propagation Society International Symposium, APSURSI 2014 ; Conference date: 06-07-2014 Through 11-07-2014",
year = "2014",
month = sep,
day = "18",
doi = "10.1109/APS.2014.6904703",
language = "English (US)",
series = "IEEE Antennas and Propagation Society, AP-S International Symposium (Digest)",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "747--748",
booktitle = "2014 IEEE Antennas and Propagation Society International Symposium(APSURSI)",
address = "United States",
}