Automated tuning for the parameters of linear solvers

Author:

Petrushov Andrey,Krasnopolsky BorisORCID

Funder

Russian Science Foundation

Moscow State University of Geodesy and Cartography

National Research Council Canada

Publisher

Elsevier BV

Subject

Computer Science Applications,Physics and Astronomy (miscellaneous),Applied Mathematics,Computational Mathematics,Modeling and Simulation,Numerical Analysis

Reference39 articles.

1. Automated empirical optimizations of software and the ATLAS project;Clint Whaley;Parallel Comput.,2001

2. Oski: a library of automatically tuned sparse matrix kernels;Vuduc;J. Phys. Conf. Ser.,2005

3. Auto-selection of an optimal sparse matrix format in the neuro-simulator ANNarchy;Dinkelbach;Front. Neuroinform.,2022

4. On using reinforcement learning to solve sparse linear systems;Kuefler,2008

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