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07/15/2023
Reducing operator complexity in Algebraic Multigrid with Machine Learning Approaches
We propose a data-driven and machine-learning-based approach to compute ...
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03/15/2023
A Two-level GPU-Accelerated Incomplete LU Preconditioner for General Sparse Linear Systems
This paper presents a parallel preconditioning approach based on incompl...
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11/11/2022
Multilevel-in-Layer Training for Deep Neural Network Regression
A common challenge in regression is that for many problems, the degrees ...
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05/04/2022
parGeMSLR: A Parallel Multilevel Schur Complement Low-Rank Preconditioning and Solution Package for General Sparse Matrices
This paper discusses parGeMSLR, a C++/MPI software library for the solut...
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12/29/2021
Neumann Series in GMRES and Algebraic Multigrid Smoothers
Neumann series underlie both Krylov methods and algebraic multigrid smoo...
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02/24/2021
Learning optimal multigrid smoothers via neural networks
Multigrid methods are one of the most efficient techniques for solving l...
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06/03/2020
Autonomous Materials Discovery Driven by Gaussian Process Regression with Inhomogeneous Measurement Noise and Anisotropic Kernels
A majority of experimental disciplines face the challenge of exploring l...
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10/13/2017