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Title: Massively Parallel, Three-Dimensional Transport Solutions for the k-Eigenvalue Problem

We have implemented a new multilevel parallel decomposition in the Denovo dis- crete ordinates radiation transport code. In concert with Krylov subspace iterative solvers, the multilevel decomposition allows concurrency over energy in addition to space-angle, enabling scalability beyond the limits imposed by the traditional KBA space-angle partitioning. Furthermore, a new Arnoldi-based k-eigenvalue solver has been implemented. The added phase-space concurrency combined with the high- performance Krylov and Arnoldi solvers has enabled weak scaling to O(100K) cores on the Jaguar XK6 supercomputer. The multilevel decomposition provides sucient parallelism to scale to exascale computing and beyond.
Authors:
 [1] ;  [1] ;  [1] ;  [1] ;  [2]
  1. ORNL
  2. University of Wisconsin
Publication Date:
OSTI Identifier:
1134632
DOE Contract Number:
DE-AC05-00OR22725
Resource Type:
Journal Article
Resource Relation:
Journal Name: Nuclear Science and Engineering; Journal Volume: 177; Journal Issue: 2
Publisher:
American Nuclear Society
Research Org:
Oak Ridge National Laboratory (ORNL)
Sponsoring Org:
USDOE
Country of Publication:
United States
Language:
English
Subject:
Arnoldi; Krylov; Denovo