MM-AutoSolver: A multimodal machine learning method for the auto-selection of iterative solvers and preconditioners

• Published in: Journal of parallel and distributed computing Vol. 205; p. 105144
• Main Authors: Xiong, Hantao, Yang, Wangdong, He, Weiqing, Lin, Shengle, Li, Keqin, Li, Kenli
• Format: Journal Article
• Language: English
• Published: Elsevier Inc 01.11.2025
• Subjects: Auto-selection; HPC; Iterative solver; Multimodal machine learning; Preconditioner; Sparse linear systems; HPC; Auto-selection; Iterative solver; Preconditioner; Multimodal machine learning; Sparse linear systems

The solution of large-scale sparse linear systems of the form Ax=b is an important research problem in the field of High-performance Computing (HPC). With the increasing scale of these systems and the development of both HPC software and hardware, iterative solvers along with appropriate preconditio...