A parallel in energy Krylov solution algorithm for the variational nodal method

Yunzhao Li, E. E. Lewis, Micheal A. Smith*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

Abstract

To reduce the computational expense caused by the large number of energy groups in thermal and fast reactor calculations, we researched using parallelization in energy (i.e. group) of the multi-group response matrix equations derived from the Variational Nodal Method. This study focuses on solving steady-state eigenvalue problems in diffusion theory that are typically needed for depletion and reactivity coefficient calculations. To examine serial and parallel performance, GMRES, a Krylov algorithm, is applied to the multi-group system of equations at each fission source iteration. We also study the impact of using Wielandt acceleration on the eigenvalue/eigenvector problem. Numerical results based on a 72 group thermal and a 216 group fast reactor core problems are obtained for both serial and parallel calculations. The results show reduced CPU times when using GMRES and Wielandt acceleration in both serial and parallel calculations.

Original languageEnglish (US)
Title of host publicationInternational Conference on the Physics of Reactors 2012, PHYSOR 2012
Subtitle of host publicationAdvances in Reactor Physics
Pages743-752
Number of pages10
StatePublished - 2012
EventInternational Conference on the Physics of Reactors 2012: Advances in Reactor Physics, PHYSOR 2012 - Knoxville, TN, United States
Duration: Apr 15 2012Apr 20 2012

Publication series

NameInternational Conference on the Physics of Reactors 2012, PHYSOR 2012: Advances in Reactor Physics
Volume1

Other

OtherInternational Conference on the Physics of Reactors 2012: Advances in Reactor Physics, PHYSOR 2012
Country/TerritoryUnited States
CityKnoxville, TN
Period4/15/124/20/12

Keywords

  • Energy group parallelization GMRES
  • Variational nodal method
  • Wielandt

ASJC Scopus subject areas

  • Nuclear Energy and Engineering

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