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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.…