• DocumentCode
    2579962
  • Title

    Hybrid Deterministic/Monte Carlo Neutronics Using GPU Accelerators

  • Author

    Willert, Jeff ; Kelley, C.T. ; Knoll, D.A. ; Dong, Han ; Ravishankar, Mahesh ; Sathre, Paul ; Sullivan, Michael ; Taitano, William

  • Author_Institution
    Dept. of Math., North Carolina State Univ., Raleigh, NC, USA
  • fYear
    2012
  • fDate
    19-22 Oct. 2012
  • Firstpage
    43
  • Lastpage
    47
  • Abstract
    In this paper we discuss a GPU implementation of a hybrid deterministic/Monte Carlo method for the solution of the neutron transport equation. The key feature is using GPUs to perform a Monte Carlo transport sweep as part of the evaluation of the nonlinear residual and Jacobian-vector product. We describe the algorithm and present some preliminary numerical results which illustrate the effectiveness of the GPU Monte Carlo sweeps.
  • Keywords
    Boltzmann equation; Monte Carlo methods; Poisson equation; graphics processing units; neutron transport theory; nuclear engineering computing; vectors; GPU accelerators; Jacobian-vector product; Monte Carlo transport sweep; hybrid deterministic-Monte Carlo neutronics; neutron transport equation; nonlinear residual product; Equations; Graphics processing units; History; Jacobian matrices; Mathematical model; Monte Carlo methods; Neutrons; GPU; Jacobian-Free Newton-Krylov; Monte Carlo; Neutron Transport;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Distributed Computing and Applications to Business, Engineering & Science (DCABES), 2012 11th International Symposium on
  • Conference_Location
    Guilin
  • Print_ISBN
    978-1-4673-2630-8
  • Type

    conf

  • DOI
    10.1109/DCABES.2012.37
  • Filename
    6385236