Advances in algorithms for solvers and gauge generation

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

Authors

Publication Details

Published
2024-10-11
DOI
https://doi.org/10.22323/1.453.0122
Citations
3
Primary Topic
Numerical methods for differential equations
Type
article
Field-Weighted Citation Impact
1.46
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article

Advances in algorithms for solvers and gauge generation

Peter Boyle
3 citations
Numerical methods for differential equations
1.46
article

Advances in algorithms for solvers and gauge generation

Peter Boyle
article en
3 citations

Abstract

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

Openalex Percentile: Top 18%
Numerical methods for differential equations
1.46
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Advances in algorithms for solvers and gauge generation — Peter Boyle · (2024) | TGRS Research Map | TGRS