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15.05.2023 / 13:15 - 14:15 / Zeuthen, Zoom
Lattice seminarGauge-equivariant neural networks as preconditioners in lattice QCD
Prof. Christoph Lehner (Universität Regensburg)
We demonstrate that a state-of-the art multi-grid preconditioner can be learned efficiently by gauge-equivariant neural networks. We show that the models require minimal re-training on different gauge configurations of the same gauge ensemble and to a large extent remain efficient under modest modifications of ensemble parameters. We also demonstrate that important paradigms such as communication avoidance are straightforward to implement in this framework.
More Information: https://indico.desy.de/category/873/
