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
Link To Document :
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