most citedA Two-level GPU-Accelerated Incomplete LU Preconditioner for General Sparse Linear Systems

2 citations · 3 across the 2 of their papers we have counts for

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math.NA2023

Reducing operator complexity in Algebraic Multigrid with Machine Learning Approaches

Ru Huang, Kai Chang, Huan He +2

We propose a data-driven and machine-learning-based approach to compute non-Galerkin coarse-grid operators in algebraic multigrid (AMG) methods, addressing the well-known issue of…

math.NA2023★ 2 cited

A Two-level GPU-Accelerated Incomplete LU Preconditioner for General Sparse Linear Systems

Tianshi Xu, Ruipeng Li, Daniel Osei-Kuffuor

This paper presents a parallel preconditioning approach based on incomplete LU (ILU) factorizations in the framework of Domain Decomposition (DD) for general sparse linear systems.…

math.NA2021★ 1 cited

Neumann Series in GMRES and Algebraic Multigrid Smoothers

Stephen Thomas, Arielle Carr, Paul Mullowney +2

Neumann series underlie both Krylov methods and algebraic multigrid smoothers. A low-synch modified Gram-Schmidt (MGS)-GMRES algorithm is described that employs a Neumann series to…