An efficient multigrid solver for finite element methods on multi-GPU systems

We present a matrix-free p-multigrid method for solving the Poisson problem using the finite element method on GPU-based supercomputers. The solver uses optimised matrix-free kernels to compute the action of arbitrary-degree finite element operators, matrix-free interpolation between finite element spaces of different polynomial degrees, and parallel vector updates, all operating on the GPU. On the coarsest level, we use an algebraic multigrid solver. We examine performance and scalability for the Poisson problem on a number of different meshes. Numerical experiments on the LUMI supercomputer show good parallel performance.

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Publication Details

Journal
Procedia Computer Science
Published
2025-01-01
DOI
https://doi.org/10.1016/j.procs.2025.08.235
Primary Topic
Advanced Numerical Methods in Computational Mathematics
Type
article
Field-Weighted Citation Impact
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article

An efficient multigrid solver for finite element methods on multi-GPU systems

William Henry Jackson, Garth N. Wells, Chris Richardson, Igor A. Baratta et al.
Procedia Computer Science
Advanced Numerical Methods in Computational Mathematics
article

An efficient multigrid solver for finite element methods on multi-GPU systems

William Henry Jackson, Garth N. Wells, Chris Richardson, Igor A. Baratta, J. Dean
article en

Abstract

We present a matrix-free p-multigrid method for solving the Poisson problem using the finite element method on GPU-based supercomputers. The solver uses optimised matrix-free kernels to compute the action of arbitrary-degree finite element operators, matrix-free interpolation between finite element spaces of different polynomial degrees, and parallel vector updates, all operating on the GPU. On the coarsest level, we use an algebraic multigrid solver. We examine performance and scalability for the Poisson problem on a number of different meshes. Numerical experiments on the LUMI supercomputer show good parallel performance.

Procedia Computer ScienceVol. 267
University of Cambridge (GB), University of Edinburgh (GB)
Openalex Percentile: Top 72%
Advanced Numerical Methods in Computational Mathematics
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An efficient multigrid solver for finite element methods on multi-GPU systems — William Henry Jackson, Garth N. Wells, et al. · Procedia Computer Science (2025) | TGRS Research Map | TGRS