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Title: Implementation, capabilities, and benchmarking of Shift, a massively parallel Monte Carlo radiation transport code

Journal Article · · Journal of Computational Physics
 [1];  [1];  [1];  [1];  [1];  [1]
  1. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
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This paper discusses the implementation, capabilities, and validation of Shift, a massively parallel Monte Carlo radiation transport package developed and maintained at Oak Ridge National Laboratory. It has been developed to scale well from laptop to small computing clusters to advanced supercomputers. Special features of Shift include hybrid capabilities for variance reduction such as CADIS and FW-CADIS, and advanced parallel decomposition and tally methods optimized for scalability on supercomputing architectures. Shift has been validated and verified against various reactor physics benchmarks and compares well to other state-of-the-art Monte Carlo radiation transport codes such as MCNP5, CE KENO-VI, and OpenMC. Some specific benchmarks used for verification and validation include the CASL VERA criticality test suite and several Westinghouse AP1000® problems. These benchmark and scaling studies show promising results.

Research Organization:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). Oak Ridge Leadership Computing Facility (OLCF)
Sponsoring Organization:
USDOE Office of Science (SC)
Grant/Contract Number:
AC05-00OR22725; DEAC05-00OR22725
OSTI ID:
1237627
Alternate ID(s):
OSTI ID: 1359295
Journal Information:
Journal of Computational Physics, Vol. 308, Issue 1; ISSN 0021-9991
Publisher:
ElsevierCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 51 works
Citation information provided by
Web of Science

References (9)

Denovo: A New Three-Dimensional Parallel Discrete Ordinates Code in SCALE journal August 2010
Full Core Reactor Analysis: Running Denovo on Jaguar journal November 2013
Stationarity Modeling and Informatics-Based Diagnostics in Monte Carlo Criticality Calculations journal January 2005
Automated Variance Reduction of Monte Carlo Shielding Calculations Using the Discrete Ordinates Adjoint Function journal February 1998
Comparison of four parallel algorithms for domain decomposed implicit Monte Carlo journal March 2006
An efficient, robust, domain-decomposition algorithm for particle Monte Carlo journal June 2009
Parallel Fission Bank Algorithms in Monte Carlo Criticality Calculations journal February 2012
Comparison of Neutronics-Depletion Coupling Schemes for Burnup Calculations journal April 2015
Comparison of Neutronics-Depletion Coupling Schemes for Burnup Calculations–Continued Study journal July 2015

Cited By (4)

Preliminary Validation of the Shift Monte Carlo Code for Fixed-Source Radiation Transport Problems journal July 2019
Variance Estimation in Monte Carlo Eigenvalue Simulations Using Spectral Analysis Method journal June 2018
Application of the Denovo Discrete Ordinates Radiation Transport Code to Large-Scale Fusion Neutronics journal August 2018
Exascale applications: skin in the game
  • Alexander, Francis; Almgren, Ann; Bell, John
  • Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, Vol. 378, Issue 2166 https://doi.org/10.1098/rsta.2019.0056
journal January 2020

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Related Subjects

22 GENERAL STUDIES OF NUCLEAR REACTORS
radiation transport
reactor physics
Monte Carlo methods
neutron transport
parallel computation