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

Journal Article · Wed Jan 01 00:00:00 EST 2014 · Nuclear Science and Engineering

DOI:https://doi.org/10.13182/NSE12-101· OSTI ID:1134632

Davidson, Gregory G ^[1]; Evans, Thomas M ^[1]; Jarrell, Joshua J ^[1]; Pandya, Tara M ^[1]; Slaybaugh, R ^[2]

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1. ORNL
2. University of Wisconsin

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.

• Research Organization: Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Oak Ridge Leadership Computing Facility (OLCF)
• Sponsoring Organization: USDOE Office of Science (SC)
• DOE Contract Number: DE-AC05-00OR22725
• OSTI ID: 1134632
• Journal Information: Nuclear Science and Engineering, Vol. 177, Issue 2; ISSN 0029-5639
• Publisher: American Nuclear Society
• Country of Publication: United States
• Language: English

Related Subjects

Arnoldi
Krylov
Denovo