• DocumentCode
    111907
  • Title

    High-Performance Computing Modeling Advances Accelerator Science for High-Energy Physics

  • Author

    Amundson, James ; Macridin, Alexandru ; Spentzouris, Panagiotis

  • Author_Institution
    Fermilab Nat. Accel. Lab., USA
  • Volume
    16
  • Issue
    6
  • fYear
    2014
  • fDate
    Nov.-Dec. 2014
  • Firstpage
    32
  • Lastpage
    41
  • Abstract
    The development and optimization of particle accelerators are essential for advancing our understanding of the properties of matter, energy, space, and time. Particle accelerators are complex devices whose behavior involves many physical effects on multiple scales. Therefore, advanced computational tools utilizing high-performance computing are essential for accurately modeling them. In the past decade, the US Department of Energy´s SciDAC program has produced accelerator-modeling tools that have been employed to tackle some of the most difficult accelerator science problems. Here, the authors discuss the Synergia framework and its applications to high-intensity particle accelerator physics. Synergia is an accelerator simulation package capable of handling the entire spectrum of beam dynamics simulations. The authors present Synergia´s design principles and its performance on HPC platforms.
  • Keywords
    high energy physics instrumentation computing; nuclear electronics; nuclear physics; parallel processing; particle accelerators; HPC platforms; SciDAC program; Synergia design principles; Synergia framework; accelerator modeling tools; accelerator science problems; accelerator simulation package; beam dynamics simulations; computational tools; high energy physics; high intensity particle accelerator physics; high performance computing modeling; particle accelerators; spectrum; Computational modeling; Computer applications; High performance computing; Linear particle accelerator; Particle beams; Physics; Scientific computing; Space charge; HPC; computer applications; high-performance computing; leadership computing; mathematics and statistics; physical sciences and engineering; physics; scientific computing;
  • fLanguage
    English
  • Journal_Title
    Computing in Science & Engineering
  • Publisher
    ieee
  • ISSN
    1521-9615
  • Type

    jour

  • DOI
    10.1109/MCSE.2014.76
  • Filename
    6866850