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Advanced applications for algebraic multigrid methods in lattice QCD / eingereicht von Artur Strebel, M. Sc. Wuppertal, 10. August 2020
Inhalt
Acknowledgments
Foreword
Contents
Introduction
Outline
Notation and abbreviations
Basics of numerical linear algebra
Basic definitions
Conditioning
Iterative methods for sparse linear systems of equations
Basic relaxation schemes and their block variants
Krylov subspace methods
Restarting
Preconditioning
Multigrid methods
Smoother
Coarse grid correction
Multigrid in lattice QCD
Eigenvalue problems
Eigensolvers based on vector iteration
Subspace accelerated eigensolvers
Matrix functions
Applying a matrix function to a vector
Basics of quantum chromodynamics
Continuum QCD
The Wilson discretization
Normality of the Wilson-Dirac operator
Applications
Validation of the staggered Wilson discretization
Low-mode averaging
Hybrid Monte Carlo
Auxiliary space preconditioning for the overlap operator in lattice QCD
Chiral operators in lattice QCD
Multigrid preconditioning for the overlap operator
Numerical results
Accuracy of the preconditioner and influence of m0prec
Quality and cost of the preconditioner
Comparison of optimized solvers
A multigrid accelerated eigensolver framework
The GD-AMG method
Local coherence
Numerical results
Algorithmic tuning
Scaling results
A Davidson-type multigrid setup
Subspace acceleration in algebraic multigrid setup
Numerical results
Conclusion & Outlook
Conclusion
Outlook
List of Figures
List of Tables
List of Algorithms & Scripts
Bibliography