• DocumentCode
    2503374
  • Title

    Performance Analysis of a High Energy Colliding Beam Simulation Code on Four HPC Architectures

  • Author

    Shan, Hongzhang ; Qiang, Ji ; Strohmaier, Erich ; Yelick, Kathy

  • Author_Institution
    Computational Res. Div., Lawrence Berkeley Nat. Lab., CA
  • fYear
    2006
  • fDate
    14-18 Aug. 2006
  • Firstpage
    237
  • Lastpage
    244
  • Abstract
    The high energy colliders are essential to study the inner structure of nuclear and elementary particles. A parallel particle simulation code, BeamBeam3D, has been developed and actively used to model the beam dynamics and to optimize the performance of these colliders. In this paper, we analyzed the performance characteristics of BeamBeam3D on four leading high performance computing architectures, including a massive parallel system, a commodity-based cluster, an advanced vector platform, and a novel architecture focused on low power consumption and high density. We examine how to partition the workload among the processors to effectively use the computing resources, whether these platforms exhibit similar performance bottlenecks and how to address them, whether some platforms perform substantially better than others, and finally, the implications of BeamBeam3D for the design of the next generation supercomputer architectures
  • Keywords
    multiprocessing systems; nuclear physics; parallel architectures; physics computing; BeamBeam3D; HPC architecture; beam dynamics; commodity-based cluster; elementary particle; high energy colliding beam simulation code; high performance computing architecture; low power consumption; massive parallel system; nuclear particle; parallel particle simulation code; supercomputer architecture; Analytical models; Colliding beam devices; Computational modeling; Computer architecture; Elementary particles; Energy consumption; High performance computing; Particle beams; Performance analysis; Power system modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel Processing, 2006. ICPP 2006. International Conference on
  • Conference_Location
    Columbus, OH
  • ISSN
    0190-3918
  • Print_ISBN
    0-7695-2636-5
  • Type

    conf

  • DOI
    10.1109/ICPP.2006.59
  • Filename
    1690625