• DocumentCode
    1429816
  • Title

    The implications of parallel processing on h-p adaptive finite element analysis for electromagnetics

  • Author

    McFee, Steve ; Giannacopoulos, Dennis

  • Author_Institution
    Dept. of Electr. Eng., McGill Univ., Montreal, Que., Canada
  • Volume
    34
  • Issue
    5
  • fYear
    1998
  • fDate
    9/1/1998 12:00:00 AM
  • Firstpage
    3284
  • Lastpage
    3287
  • Abstract
    The primary implications of parallel processing on h-p adaptive finite element methods for electromagnetic analysis are investigated. Aside from the conventional benefits and costs associated with the parallelization of the essentially non-adaptive finite element modules, significant fundamental advantages that are unique to the adaptive process itself are explored. First, the overall speedup potential of local error estimator evaluation and h-p discretization refinement is superior to that of finite element solver execution in parallel environments, and therefore justifies the use of more complex and computationally intensive adaption control strategies. Second, the availability of parallel processing motivates the comparative assessment of different discretization strategies at each h-p refinement step to help guide the evolution of the adaption. Practical results representing a range of parallel configurations are computed to illustrate the concepts
  • Keywords
    adaptive systems; electrical engineering computing; electromagnetism; error analysis; finite element analysis; parallel algorithms; EM analysis; FEM; electromagnetic analysis; h-p adaptive finite element analysis; h-p discretization refinement; local error estimator evaluation; parallel processing; Adaptive control; Adaptive systems; Concurrent computing; Electromagnetic analysis; Electromagnetic coupling; Error correction; Finite element methods; Parallel processing; Programmable control; Runtime;
  • fLanguage
    English
  • Journal_Title
    Magnetics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9464
  • Type

    jour

  • DOI
    10.1109/20.717771
  • Filename
    717771