• DocumentCode
    3287350
  • Title

    Scalable parallel molecular dynamics on MIMD supercomputers

  • Author

    Plimpton, Steve ; Heffelfinger, Grant

  • Author_Institution
    Sandia Nat. Labs., Albuquerque, NM, USA
  • fYear
    1992
  • fDate
    26-29 Apr 1992
  • Firstpage
    246
  • Lastpage
    251
  • Abstract
    Presents two parallel algorithms suitable for molecular dynamics simulations over a wide range of sizes, from a few hundred to millions of atoms. One of the algorithms is optimally scalable, offering performance proportional to N/P where N is the number of atoms (or molecules) and P is the number of processors. Their implementation on three MIMD parallel computers (nCUBE2, Intel Gamma, and Intel Delta) and performance on a standard benchmark problem as compared to vector and SIMD implementations is discussed. The authors also briefly describe the integration of one of the algorithms into a widely-used code appropriate for modeling defect dynamics in metals via the embedded atom method
  • Keywords
    crystal defects; digital simulation; metals; molecular dynamics method; parallel algorithms; physics computing; self-diffusion in solids; Intel Delta; Intel Gamma; MIMD supercomputers; defect dynamics; embedded atom method; metals; molecular dynamics simulations; nCUBE2; performance; scalable parallel algorithms; standard benchmark problem; Atomic measurements; Computational modeling; Concurrent computing; Equations; Laboratories; Liquids; Parallel algorithms; Solid modeling; Supercomputers; Thermodynamics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Scalable High Performance Computing Conference, 1992. SHPCC-92, Proceedings.
  • Conference_Location
    Williamsburg, VA
  • Print_ISBN
    0-8186-2775-1
  • Type

    conf

  • DOI
    10.1109/SHPCC.1992.232635
  • Filename
    232635