Algorithms for Domain Wall Fermions
Peter A Boyle, Dennis Bollweg, Christopher Kelly, Azusa Yamaguchi
TL;DR
This paper introduces new algorithms to improve the efficiency of simulating domain wall fermions, including a multigrid solver and a domain decomposed hybrid Monte Carlo method optimized for GPU computing.
Contribution
It presents a novel multigrid solver and a domain decomposed hybrid Monte Carlo algorithm tailored for domain wall fermions, enhancing computational performance.
Findings
Accelerated gauge configuration sampling with new algorithms
Effective multigrid solver for domain wall fermions
Optimized DD-RHMC for odd fermion numbers
Abstract
We discuss algorithms for domain wall fermions focussing on accelerating Hybrid Monte Carlo sampling of gauge configurations. Firstly a new multigrid algorithm for domain wall solvers and secondly a domain decomposed hybrid monte carlo approach applied to large subvolumes and optimised for GPU accelerated nodes. We propose a formulation of DD-RHMC that is suitable for the simulation of odd numbers of fermions.
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Taxonomy
TopicsSuperconducting Materials and Applications · Nuclear reactor physics and engineering · Nuclear Physics and Applications