• DocumentCode
    586372
  • Title

    GPU-SD and DPD parallelization for Gromacs tools for molecular dynamics simulations

  • Author

    Goga, Nicolae ; Marrink, S. ; Cioromela, R. ; Moldoveanu, Florica

  • Author_Institution
    Mol. Dynamics Group, Univ. of Groningen, Groningen, Netherlands
  • fYear
    2012
  • fDate
    11-13 Nov. 2012
  • Firstpage
    251
  • Lastpage
    254
  • Abstract
    This article presents the GPU parallelization of new algorithms SD and DPD types for molecular dynamics systems developed by the Molecular Dynamics Group, University of Groningen, the Netherlands. One should note that molecular dynamics simulations are time-consuming simulations of systems, running time ranging from days to weeks and months. Therefore parallelization is a key issue for the well-running and use of MD software. The paper presents the main ingredients of GPU parallelization of the new algorithms and simulation results. It can be concluded that the parallelization through the use of graphical cards improves the performances of the runs as compared to the serial version of the code.
  • Keywords
    biology computing; graphics processing units; DPD parallelization; GPU-SD parallelization; Gromacs tools; MD software; graphical cards; molecular dynamics group; molecular dynamics simulations; Biological system modeling; Educational institutions; Friction; Graphics processing units; Heuristic algorithms; Kernel; CUDA programing; graphic cards systems; molecular dynamic systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics & Bioengineering (BIBE), 2012 IEEE 12th International Conference on
  • Conference_Location
    Larnaca
  • Print_ISBN
    978-1-4673-4357-2
  • Type

    conf

  • DOI
    10.1109/BIBE.2012.6399683
  • Filename
    6399683