• DocumentCode
    3588953
  • Title

    Simulative Analysis of a Multidimensional Torus-Based Reconfigurable Cluster for Molecular Dynamics

  • Author

    Lawande, Abhijeet ; Hanchao Yang ; George, Alan D. ; Lam, Herman

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Florida, Gainesville, FL, USA
  • fYear
    2014
  • Firstpage
    387
  • Lastpage
    394
  • Abstract
    Molecular dynamics (MD) is a large-scale, communication-intensive problem that has been the subject of high-performance computing research and acceleration for years. Not surprisingly, the most success in accelerating MD comes from specialized systems such as the Anton machine. Our goal is to design a reconfigurable system that can accelerate MD while also being amenable to other communication-intensive applications. In this paper, we present a performance model for the 3D FFT kernel that forms the core of MD simulation on Anton. We validate the model against published Anton performance data and use the data to design and evaluate a similar interconnect for our existing Novo-G reconfigurable supercomputer. Through simulation studies, we predict that the upgraded machine will achieve nearly double the performance of Anton and fifty times that of established clusters like BlueGene/L for the 3D FFT kernel.
  • Keywords
    biocomputing; fast Fourier transforms; field programmable gate arrays; parallel processing; reconfigurable architectures; 3D FFT kernel; Anton machine; FPGA; MD; fast Fourier transform; field programmable gate array; high-performance computing; molecular dynamics; reconfigurable cluster; simulative analysis; Acceleration; Computational modeling; Delays; Field programmable gate arrays; Mathematical model; Solid modeling; Three-dimensional displays; Computer simulation; Field-programmable gate arrays; High-performance computing; Reconfigurable architectures;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel Processing Workshops (ICCPW), 2014 43rd International Conference on
  • ISSN
    1530-2016
  • Type

    conf

  • DOI
    10.1109/ICPPW.2014.58
  • Filename
    7103476