• DocumentCode
    3287987
  • Title

    Hybrid aggregated-vector algorithm for efficient parallelization of Fast Multipole Method

  • Author

    Das, Aruneema ; Gope, Dibakar

  • Author_Institution
    Dept. of Electr. Commun. Eng., Indian Inst. of Sci., Bangalore, India
  • fYear
    2012
  • fDate
    21-24 Oct. 2012
  • Firstpage
    181
  • Lastpage
    184
  • Abstract
    An efficient parallelization algorithm for the Fast Multipole Method which aims to alleviate the parallelization bottleneck arising from lower job-count closer to root levels is presented. An electrostatic problem of 12 million non-uniformly distributed mesh elements is solved with 80-85% parallel efficiency in matrix setup and matrix-vector product using 60GB and 16 threads on shared memory architecture.
  • Keywords
    matrix algebra; shared memory systems; efficiency 80 percent to 85 percent; electrostatic problem; fast multipole method; hybrid aggregated-vector algorithm; matrix setup; matrix-vector product; memory size 60 GByte; parallelization algorithm; shared memory architecture; Algorithm design and analysis; Capacitance; Geometry; Instruction sets; Moment methods; Switches; Vectors; Fast Multipole Method (FMM); Shared memory parallelization (SMP);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Performance of Electronic Packaging and Systems (EPEPS), 2012 IEEE 21st Conference on
  • Conference_Location
    Tempe, AZ
  • Print_ISBN
    978-1-4673-2539-4
  • Electronic_ISBN
    978-1-4673-2537-0
  • Type

    conf

  • DOI
    10.1109/EPEPS.2012.6457872
  • Filename
    6457872