• DocumentCode
    2556597
  • Title

    Molecular dynamics simulation: Implementation and optimization based on Hadoop

  • Author

    Jiao, Shanfei ; He, Chen ; Dou, Yusheng ; Tang, Hong

  • Author_Institution
    Coll. of Comput. Sci. & Technol., Chongqing Univ. of Posts & Telecommun., Chongqing, China
  • fYear
    2012
  • fDate
    29-31 May 2012
  • Firstpage
    1203
  • Lastpage
    1207
  • Abstract
    At first the paper introduced the basic concept and mechanism of Hadoop architecture and the current parallel research situation of molecular dynamics simulation, then three solutions were proposed for implementing the parallel algorithm using atom-decomposition method on Hadoop to overcome shortcomings of fast iteration and communication among sub-tasks. After that tested and analyzed program´s speed-up ratio, expansibility and cost-time of various parts, then did performance tuning in many ways, finally obtained good results as high as 28× speedup in large-scale system simulations. The test showing molecular dynamics simulation based on Hadoop is more economical and practical.
  • Keywords
    iterative methods; optimisation; parallel algorithms; parallel architectures; public domain software; Hadoop architecture; atom decomposition method; iteration algorithm; molecular dynamics simulation; optimization; parallel algorithm; performance tuning; Cloud computing; Computational modeling; Educational institutions; Load modeling; Scientific computing; Synchronization; Hadoop; MapReduce; cloud computing; molecular dynamics; optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation (ICNC), 2012 Eighth International Conference on
  • Conference_Location
    Chongqing
  • ISSN
    2157-9555
  • Print_ISBN
    978-1-4577-2130-4
  • Type

    conf

  • DOI
    10.1109/ICNC.2012.6234529
  • Filename
    6234529