• DocumentCode
    3569759
  • Title

    GPU computations for finite element optimization: A review of the methodology and problems for study

  • Author

    Hoole, S. Ratnajeevan H. ; Sivasuthan, Sivamayam

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Michigan State Univ., East Lansing, MI, USA
  • fYear
    2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In finite element optimization, the computational load is a limiting issue. Parallelization has been the preferred route to overcome this problem but was again limited by the cost of computers and the number of processors available. The graphics processing unit (GPU) on a PC provides a means of implementing the massive computations on numerous parallel threads cheaply on PCs. This paper lays out recent work which is the way forward for making finite element optimization routine in the design of power frequency devices and nondestructive evaluation (NDE). Going beyond a review we present problems to be examined in GPU computations as fodder for research.
  • Keywords
    finite element analysis; graphics processing units; nondestructive testing; optimisation; parallel architectures; CUDA; GPU computation; NDE; computational load; finite element optimization; graphics processing unit; nondestructive evaluation; parallel threads; parallelization; power frequency device design; Finite element analysis; Genetic algorithms; Graphics processing units; Optimization; Sociology; Statistics; CUDA; Design; FEM; GPU; NDE; parallelization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fundamentals of Electrical Engineering (ISFEE), 2014 International Symposium on
  • Print_ISBN
    978-1-4799-6820-6
  • Type

    conf

  • DOI
    10.1109/ISFEE.2014.7050537
  • Filename
    7050537