Adaptive Aggregation-based Domain Decomposition Multigrid for Twisted Mass Fermions
Constantia Alexandrou, Simone Bacchio, Jacob Finkenrath, Andreas, Frommer, Karsten Kahl, Matthias Rottmann

TL;DR
This paper extends an adaptive multigrid method for twisted mass fermions in lattice QCD, achieving significant speed-ups over traditional algorithms and providing new insights into multigrid parameter tuning.
Contribution
It introduces an extended adaptive aggregation-based multigrid method for twisted mass fermions and analyzes parameter effects, enhancing computational efficiency in lattice QCD.
Findings
Achieves up to 100x speed-up over conjugate gradient methods.
Provides a detailed analysis of aggregation parameters.
Offers new insights into multigrid methods independent of fermion discretization.
Abstract
The Adaptive Aggregation-based Domain Decomposition Multigrid method (arXiv:1303.1377) is extended for two degenerate flavors of twisted mass fermions. By fine-tuning the parameters we achieve a speed-up of the order of hundred times compared to the conjugate gradient algorithm for the physical value of the pion mass. A thorough analysis of the aggregation parameters is presented, which provides a novel insight into multigrid methods for lattice QCD independently of the fermion discretization.
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