• DocumentCode
    246672
  • 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
  • fYear
    2014
  • fDate
    6-11 July 2014
  • Firstpage
    747
  • Lastpage
    748
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Antennas and Propagation Society International Symposium (APSURSI), 2014 IEEE
  • Conference_Location
    Memphis, TN
  • ISSN
    1522-3965
  • Print_ISBN
    978-1-4799-3538-3
  • Type

    conf

  • DOI
    10.1109/APS.2014.6904703
  • Filename
    6904703