Parallel Approximate Ideal Restriction Multigrid for Solving the S$_N$ Transport Equations
Joshua Hanophy, Ben S. Southworth, Ruipeng Li, Jim Morel, and Tom, Manteuffel

TL;DR
This paper introduces a parallel algebraic multigrid method based on approximate ideal restriction (pAIR) as a scalable, robust alternative to traditional parallel sweep algorithms for solving the $S_N$ transport equations, especially on unstructured meshes.
Contribution
The paper demonstrates the effectiveness of pAIR as a scalable, black-box solver for $S_N$ transport equations, providing an alternative to traditional parallel sweep methods on structured and unstructured meshes.
Findings
pAIR is robust and scalable for $S_N$ transport equations.
pAIR performs similarly on structured and unstructured meshes.
Traditional sweeps are faster on structured meshes, but pAIR offers a versatile alternative.
Abstract
The computational kernel in solving the transport equations is the parallel sweep, which corresponds to directly inverting a block lower triangular linear system that arises in discretizations of the linear transport equation. Existing parallel sweep algorithms are fairly efficient on structured grids, but still have polynomial scaling, for dimensions and processors. Moreover, an efficient scalable parallel sweep algorithm for use on general unstructured meshes remains elusive. Recently, a classical algebraic multigrid (AMG) method based on approximate ideal restriction (AIR) was developed for nonsymmetric matrices and shown to be an effective solver for linear transport. Motivated by the superior scalability of AMG methods (logarithmic in ) as well as the simplicity with which AMG methods can be used in most situations, including on arbitrary unstructured…
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Taxonomy
TopicsAdvanced Numerical Methods in Computational Mathematics · Matrix Theory and Algorithms · Computational Fluid Dynamics and Aerodynamics
