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“ Hexahedral Mesh For Test Problem Three. ” 

“ Hexahedral Mesh For Test Problem Three. ” 

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Abstract Discontinuous finite element methods,for the S equations on 3-D unstruc- tured tetrahedral and hexahedral meshes,are presented. Solution techniques in- cluding source iteration and diffusion-synthetic acceleration are described. Nu- merical results are presented which demonstrate,the accuracy and efficiency of these methods. 2

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In 1968, Bengt Carlson and Kaye Lathrop published a comprehensive review on the state of the art in discrete-ordinates (SN) calculations [10]. At that time, SN methodology existed primarily for reactor physics simulations. By today’s standards, those capabilities were limited, due to the less-developed theoretical state of SN methods and the slower and smaller computers that were then available. In this chapter, we review some of the major advances in SN methodology that have occurred since 1968. These advances, combined with the faster speeds and larger memories of today’s computers, enable today’s SN codes to simulate problems of much greater complexity, realism, and physical variety. Since 1968, several books and reviews on general numerical methods for SN simulations have been published [32, 46, 71], but none of these covers the advanced work done during the past 20 years.
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The UNIC code is being developed as part of the DOE's Nuclear Energy Advanced Modeling and Simulation (NEAMS) program. UNIC is an unstructured, deterministic neutron transport code that allows a highly detailed description of a nuclear reactor co re in our numerical simulations. The goal of our simulation efforts is to reduce the uncertainties a nd biases in reactor design calculations by progres sively replacing existing multi-level averaging (homogeniz ation) techniques with more direct solution methods based on first principles. Since the neutron transp ort equation is seven dimensional (three in space, two in angle, one in energy, and one in time), these simul ations are among the most memory and computationally intensive in all of computational science. To model the complex geometry of a reactor core, billions o f spatial elements, hundreds of angles, and thousands of energy groups are necessary, which leads to pro blem sizes with petascale degrees of freedom. Therefore, these calculations exhaust memory resources on cur rent and even next-generation architectures. In this pap er, we present UNIC simulation results for two impo rtant representative problems in reactor design/analysis - PHENIX and ZPR. In each case, UNIC shows excellent weak scalability on up to 163,840 cores of BlueGene /P (Argonne) and 131,072 cores of XT5 (ORNL). While our current per processor performance is not ideal, we demonstrate a clear ability to effectivel y utilize the leadership computing platforms. Over th e coming months, we aim to improve the per-processor performance while maintaining the high parallel eff iciency by employing better algorithms (such as spa tial p-refinement, optimized matrix-tensor operations, a nd weighted partitioning for load balancing). Combi ning these additional algorithmic improvements with larg er parallel machines in the near future should allo w us to realize our long term goal of explicit geometry coupled multiphysics reactor simulations. In the lo ng run, these high fidelity simulations will be able to rep lace expensive mockup experiments and reduce the uncertainty in crucial reactor design and operation al parameters.
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