• DocumentCode
    3237844
  • Title

    Scalable Molecular Dynamics for Large Biomolecular Systems

  • Author

    Brunner, Robert K. ; Phillips, James C. ; Kalé, Laxmikant V.

  • Author_Institution
    University of Illinois at Urbana-Champaign
  • fYear
    2000
  • fDate
    04-10 Nov. 2000
  • Firstpage
    45
  • Lastpage
    45
  • Abstract
    We present an optimized parallelization scheme for molecular dynamics simulations of large biomolecular systems, implemented in the production-quality molecular dynamics program NAMD. With an object-based hybrid force and spatial decomposition scheme, and an aggressive measurement-based predictive load balancing framework, we have attained speeds and speedups that are much higher than any reported in literature so far. The paper first summarizes the broad methodology we are pursuing, and the basic parallelization scheme we used. It then describes the optimizations that were instrumental in increasing performance, and presents performance results on benchmark simulations.
  • Keywords
    Biophysics; Computational modeling; Computer science; Computer simulation; Concurrent computing; Diseases; Force measurement; Load management; Proteins; Velocity measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Supercomputing, ACM/IEEE 2000 Conference
  • ISSN
    1063-9535
  • Print_ISBN
    0-7803-9802-5
  • Type

    conf

  • DOI
    10.1109/SC.2000.10038
  • Filename
    1592758