• DocumentCode
    510159
  • Title

    A Parallel Monte Carlo Simulation on Cluster System for Particle Transport

  • Author

    Dai, Rui-kai ; Li, Jian-xin ; Dong, Chun-li ; Li, Lei ; Yan, Bin

  • Author_Institution
    Nat. Digital Switching Syst. Eng. & Technol. Res. Center, Zhengzhou, China
  • Volume
    2
  • fYear
    2009
  • fDate
    7-8 Nov. 2009
  • Firstpage
    31
  • Lastpage
    35
  • Abstract
    In Monte Carlo simulations, the more particles you trace, the more accurate results you get. While recent improvements in hardware and software have feasible on personal computers, it can still take hours, even days to achieve a statistically meaningful result. Geant4 is a kind of Monte Carlo simulation tool solving the problem in nuclear physics. It can be used to accurately simulate the passage of particles through matter. It has been reported that Geant4 parallelization was successfully achieved on PC cluster. Problems are how it works on cluster system which is different from PC cluster. Since cluster system has much higher data transmission speed, the limited exchange speed of data in the PC cluster is gone. In this paper, two usual parallel modes were compared in parallelizing the Monte Carlo simulation. They were static scheduling mode and master-slave mode. Simulations show that parallel Monte Carlo simulation on cluster system for particle transport using Geant4 is feasible.
  • Keywords
    Monte Carlo methods; parallel processing; physics computing; Geant4; cluster system; master-slave mode; nuclear physics; parallel Monte Carlo simulation; particle transport; static scheduling mode; Artificial intelligence; Bandwidth; Computational intelligence; Computational modeling; Computer networks; Costs; Discrete event simulation; Hardware; Master-slave; Processor scheduling; Cluster system; Geant4; Monte Carlo Simulation; particle tranport;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence and Computational Intelligence, 2009. AICI '09. International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-3835-8
  • Electronic_ISBN
    978-0-7695-3816-7
  • Type

    conf

  • DOI
    10.1109/AICI.2009.485
  • Filename
    5376368