Work

Towards Automated Algebraic Multigrid Preconditioner Design Using Genetic Programming for Large-Scale Laser Beam Welding Simulations

Year: 2025

Type: conference-paper

Abstract: Multigrid methods are asymptotically optimal algorithms ideal for large-scale simulations. But, they require making numerous algorithmic choices that significantly influence their efficiency. Unlike recent approaches that learn optimal multigrid components using machine learning techniques, we adopt a complementary strategy here, employing evolutionary algorithms to construct efficient multigrid cycles from available individual components.

Source: Platform for Advanced Scientific Computing Conference (PASC)

DOI: 10.1145/3732775.3733589

Authors: Dinesh Parthasarathy, Tommaso Bevilacqua, Martin Lanser, Axel Klawonn, Harald Köstler

Institutions: Friedrich-Alexander-Universität Erlangen-Nürnberg, University of Cologne

Language: English

Topic: Advanced Numerical Methods in Computational Mathematics

Subfield: Computational Mechanics

Field: Engineering

Domain: Physical Sciences

Open Access status: bronze

Funders: Friedrich-Alexander-Universität Erlangen-Nürnberg, Deutsche Forschungsgemeinschaft

Awards: HochleistungscomputeCluster, G6690480278