Optimizing Staggered Multigrid for Exascale performance
arXiv:2212.12559 · doi:10.22323/1.430.0335
Abstract
Adaptive multi-grid methods have proven very successful in dealing with critical slow down for the Wilson-Dirac solver in lattice gauge theory. Multi-grid algorithms developed for Staggered fermions using the Kähler-Dirac preconditioning~\cite{Brower:2018ymy} have shown remarkable success. In this work, we discuss the performance of this staggered multi-grid algorithm in four dimensions. We also demonstrate that offloading some components of a multi-shift solve to a multi-grid solver leads to a significant performance improvement in an existing MILC spectrum workflow on the Summit and Selene supercomputers.
Submission to Proceedings of Lattice 2022: the 39th International Symposium on Lattice Field Theory, Bonn, Germany
References in corpus (7)
- Highly Improved Staggered Quarks on the Lattice, with Applications to Charm Physics
- Accelerating Dynamical Fermion Computations using the Rational Hybrid Monte Carlo (RHMC) Algorithm with Multiple Pseudofermion Fields
- Adaptive multigrid algorithm for the lattice Wilson-Dirac operator
- Adaptive Multigrid Algorithm for Lattice QCD
- s-Step Orthomin and GMRES implemented on parallel computers
- Hierarchically deflated conjugate residual
- Comparison of Domain Wall Fermion Multigrid Methods