State of the art multi-grid algorithms in QUDA

28 Jul 2021, 14:45
15m
Oral presentation Algorithms (including Machine Learning, Quantum Computing, Tensor Networks) Algorithms (including Machine Learning, Quantum Computing, Tensor Networks)

Speaker

Dr Evan Weinberg (NVIDIA)

Description

The era of exascale computing enables the generation of ever-finer gauge configurations, capturing gauge-fermion physics with unprecedented accuracy. This approach to the continuum comes with a super-linear increase in the cost of the iterative Krylov solve of the Dirac fermion operator, the phenomena of critical slowing down. Multi-grid methods are the optimal approach to addressing this crisis of cost. In this talk we describe the state-of-the-art implementations of multigrid algorithms for Wilson-clover, HISQ, and domain wall fermions in the QUDA library for GPUs. This will include a discussion of the unique approaches to multigrid for each fermion formulation.

Primary author

Dr Evan Weinberg (NVIDIA)

Co-authors

Richard Brower (Boston University) Kate Clark (NVIDIA) Jiqun Tu (NVIDIA Corporation) Mathias Wagner (NVIDIA)

Presentation materials