The simulation of lattice QCD on massively parallel computers stimulated the
development of scalable algorithms for the solution of sparse linear systems.
We tackle the problem of the Wilson-Dirac operator inversion by combining a
Schwarz alternating procedure (SAP) in multiplicative form with a flexible
variant of the GMRES-DR algorithm. We show that restarted GMRES is not able to
converge when the system is poorly conditioned. By adding deflation in the form
of the FGMRES-DR algorithm, an important fraction of the information produced
by the iterates is kept between successive restarts leading to convergence in
cases in which FGMRES stagnates.
%0 Generic
%1 Frommer2012Deflation
%A Frommer, Andreas
%A Nobile, Andrea
%A Zingler, Paul
%D 2012
%K na
%T Deflation and Flexible SAP-Preconditioning of GMRES in Lattice QCD Simulation
%U http://arxiv.org/abs/1204.5463
%X The simulation of lattice QCD on massively parallel computers stimulated the
development of scalable algorithms for the solution of sparse linear systems.
We tackle the problem of the Wilson-Dirac operator inversion by combining a
Schwarz alternating procedure (SAP) in multiplicative form with a flexible
variant of the GMRES-DR algorithm. We show that restarted GMRES is not able to
converge when the system is poorly conditioned. By adding deflation in the form
of the FGMRES-DR algorithm, an important fraction of the information produced
by the iterates is kept between successive restarts leading to convergence in
cases in which FGMRES stagnates.
@misc{Frommer2012Deflation,
abstract = {{The simulation of lattice QCD on massively parallel computers stimulated the
development of scalable algorithms for the solution of sparse linear systems.
We tackle the problem of the Wilson-Dirac operator inversion by combining a
Schwarz alternating procedure (SAP) in multiplicative form with a flexible
variant of the GMRES-DR algorithm. We show that restarted GMRES is not able to
converge when the system is poorly conditioned. By adding deflation in the form
of the FGMRES-DR algorithm, an important fraction of the information produced
by the iterates is kept between successive restarts leading to convergence in
cases in which FGMRES stagnates.}},
added-at = {2019-02-23T22:09:48.000+0100},
archiveprefix = {arXiv},
author = {Frommer, Andreas and Nobile, Andrea and Zingler, Paul},
biburl = {https://www.bibsonomy.org/bibtex/2969b308a5ce9718d89dafb862d7982fc/cmcneile},
citeulike-article-id = {14223159},
citeulike-linkout-0 = {http://arxiv.org/abs/1204.5463},
citeulike-linkout-1 = {http://arxiv.org/pdf/1204.5463},
day = 24,
eprint = {1204.5463},
interhash = {775f87da30b185e8137af58d2851b334},
intrahash = {969b308a5ce9718d89dafb862d7982fc},
keywords = {na},
month = apr,
posted-at = {2016-12-07 15:08:06},
priority = {2},
timestamp = {2019-02-23T22:15:27.000+0100},
title = {{Deflation and Flexible SAP-Preconditioning of GMRES in Lattice QCD Simulation}},
url = {http://arxiv.org/abs/1204.5463},
year = 2012
}