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Advances in algorithms for solvers and gauge generation
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Advances in algorithms for solvers and gauge generation
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I review recent research and advances in algorithms for solvers and gauge generation, with an emphasis on practical algorithms for four dimensional simulations. Particular consideration is given to advances in multigrid solvers, fourier acceleration and field transformation approaches to accelerating evolution dynamics, and to parallel tempering approaches to solving the topological tunneling problem. Particular consideration is given to the interaction between rapidly evolving computer architecture and optimal algorithms that exploit these. In this conference, nascent machine learning algorithms were separately reviewed
Forward citations
Cited by 3 Pith papers
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Scaling flow-based approaches for topology sampling in $\mathrm{SU}(3)$ gauge theory
Out-of-equilibrium simulations with open-to-periodic boundary switching plus a tailored stochastic normalizing flow enable efficient topology sampling in the continuum limit of four-dimensional SU(3) Yang-Mills theory.
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Parallel Tempered Metadynamics for full QCD
In N_f=2 staggered QCD at beta=1.15, PT-MetaD tunnels between topological sectors while RHMC remains frozen, yielding chi_top V = 0.127(33).
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Enhanced Sampling Techniques for Lattice Gauge Theory
Metadynamics bias potentials and volume-extrapolation strategies reduce integrated autocorrelation times of topological charge in lattice gauge theories.
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