• DocumentCode
    3666890
  • Title

    Accelerating the finite element method using FPGA for electromagnetic field computation

  • Author

    Jinzhu Zhang;Minglu Zhang;Hua He;Qingzeng Song

  • Author_Institution
    School of Mechanical Engineering, Hebei University of Technology, Tianjin, China
  • fYear
    2015
  • fDate
    6/1/2015 12:00:00 AM
  • Firstpage
    1763
  • Lastpage
    1768
  • Abstract
    Understanding and predicting electromagnetic behavior is very important in electrical engineering field. The finite element method (FEM) is a powerful tool for the electromagnetic phenomena. However, the FEM in electromagnetic problems is computationally intensive, which can run for a few hours to several days in lager scale problems. Thus, accelerating FEM is one of the most significant works. The Jacobi iterative method is the technique widely used for solving linear equations that is the most time-consuming step in FEM. In this paper, a hardware Jacobi solver is designed and implemented using a pipelined architecture and fine-grained parallelism. The hardware solver is applied to the electromagnetic boundary value problem (BVP) to verify the implementation and explore the hardware speed and cost.
  • Keywords
    "Finite element analysis","Jacobian matrices","Field programmable gate arrays","Hardware","Sparse matrices","Acceleration","Electromagnetics"
  • Publisher
    ieee
  • Conference_Titel
    Cyber Technology in Automation, Control, and Intelligent Systems (CYBER), 2015 IEEE International Conference on
  • Print_ISBN
    978-1-4799-8728-3
  • Type

    conf

  • DOI
    10.1109/CYBER.2015.7288213
  • Filename
    7288213