A Root-Node Based Algebraic Multigrid Method

TL;DR

This paper introduces a root-node algebraic multigrid method that effectively solves large, complex linear systems from PDE discretizations, including challenging non-symmetric and anisotropic problems, with detailed cost analysis.

Contribution

It presents a unified root-node AMG algorithm with filtering strategies and theoretical insights, enhancing robustness and scalability for difficult SPD and non-SPD problems.

Findings

Successfully solves non-symmetric problems with robustness

Demonstrates scalability on large systems

Provides detailed computational cost estimates

Abstract

This paper provides a unified and detailed presentation of root-node style algebraic multigrid (AMG). Algebraic multigrid is a popular and effective iterative method for solving large, sparse linear systems that arise from discretizing partial differential equations. However, while AMG is designed for symmetric positive definite matrices (SPD), certain SPD problems, such as anisotropic diffusion, are still not adequately addressed by existing methods. Non-SPD problems pose an even greater challenge, and in practice AMG is often not considered as a solver for such problems. The focus of this paper is on so-called root-node AMG, which can be viewed as a combination of classical and aggregation-based multigrid. An algorithm for root-node is outlined and a filtering strategy is developed, which is able to control the cost of using root-node AMG, particularly on difficult problems. New theoretical motivation is provided for root-node and energy-minimization as applied to symmetric as well non-symmetric systems. Numerical results are then presented demonstrating the robust ability of root-node to solve non-symmetric problems, systems-based problems, and difficult SPD problems, including strongly anisotropic diffusion, convection-diffusion, and upwind steady-state transport, in a scalable manner. New, detailed estimates of the computational cost of the setup and solve phase are given for each example, providing additional support for root-node AMG over alternative methods.