SimpleMOC - A performance abstraction for 3D MOC
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Forget_SimpleMOC.pdf
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Author(s)
He, Tim
Gunow, Geoffrey Alexander
Tramm, John Robert
Forget, Benoit Robert Yves
Smith, Kord S.
Date Issued
October 2015
Journal
Proceedings of ANS MC2015 - Joint International Conference on Mathematics and Computation (M&C), Supercomputing in Nuclear Applications (SNA) and the Monte Carlo (MC) Method
Publisher
American Nuclear Society (ANS)
Citation
Gunow, Geoffrey et al. "SimpleMOC - A PERFORMANCE ABSTRACTION FOR 3D MOC." ANS MC2015 - Joint International Conference on Mathematics and Computation (M&C), Supercomputing in Nuclear Applications (SNA) and the Monte Carlo (MC) Method, 19-23 April, 2015, Nashville, Tennessee, American Nuclear Society, 2015.
Version
Author's final manuscript
Abstract
The method of characteristics (MOC) is a popular method for efficiently solving two-dimensional reactor problems. Extensions to three dimensions have been attempted with mitigated success bringing into question the ability of performing efficient full core three-dimensional (3D) analysis. Although the 3D problem presents many computational difficulties, some simplifications can be made that allow for more efficient computation. In this investigation, we present SimpleMOC, a “mini-app” which
mimics the computational performance of a full 3D MOC solver without involving the full physics perspective, allowing for a more straightforward analysis of the computational challenges. A variety of simplifications are implemented that are intended to increase the computational feasibility, including the formation axially-quadratic neutron sources. With the addition of the quadratic approximation to the neutron source, 3D MOC is cast as a CPU-intensive method with the potential for remarkable scalability on next generation computing architectures.
MIT Department
Massachusetts Institute of Technology. Department of Nuclear Science and Engineering
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Creative Commons Attribution-Noncommercial-Share Alike
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DOI of Published Version
http://www.proceedings.com/27010.html
