1 citations · 1 across the 3 of their papers we have counts for
4 papers
Online Autotuning of Algebraic Multigrid via Contextual Bandits and Reinforcement Learning
Xudong He, Ruiyu Wang, Yilang Ding +2
Algebraic multigrid (AMG) methods are widely used for solving large sparse linear systems, but their efficiency depends strongly on interacting setup and solve parameters. Effectiv…
Straggler-tolerant stationary methods for linear systems
Vassilis Kalantzis, Yuanzhe Xi, Lior Horesh +1
In this paper, we consider the iterative solution of linear algebraic equations under the condition that matrix-vector products with the coefficient matrix are computed only partia…
Spectral-Refiner: Accurate Fine-Tuning of Spatiotemporal Fourier Neural Operator for Turbulent Flows
Shuhao Cao, Francesco Brarda, Ruipeng Li +1
Recent advancements in operator-type neural networks have shown promising results in approximating the solutions of spatiotemporal Partial Differential Equations (PDEs). However, t…
Anderson Acceleration with Truncated Gram-Schmidt
Ziyuan Tang, Tianshi Xu, Huan He +2
Anderson Acceleration (AA) is a popular algorithm designed to enhance the convergence of fixed-point iterations. In this paper, we introduce a variant of AA based on a Truncated Gr…