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Dinesh

Parthasarathy

Dinesh Parthasarathy is a PhD student at the Friedrich-Alexander University of Erlangen-Nuremberg (FAU). He completed his Master’s in Computational Engineering at FAU and is an alumnus of the Bavarian Graduate School of Computational Engineering (BGCE) program. His research focuses on applying artificial intelligence (AI) techniques to design efficient numerical methods, particularly using evolutionary algorithms guided by context-free grammars for efficient large scale simulations. More broadly, he is interested in scientific machine learning and its applications to computational science. He interned at Lawrence Livermore National Laboratory with the hypre team and is now an external collaborator, contributing to the AI-driven design of algebraic multigrid methods in hypre.

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Presenter

Paper
Wednesday, June 18, 2025
11:30
-
12:00
CEST
Towards Automated Algebraic Multigrid Preconditioner Design Using Genetic Programming for Large-Scale Laser Beam Welding Simulations

Author

Paper
Wednesday, June 18, 2025
11:30
-
12:00
CEST
Towards Automated Algebraic Multigrid Preconditioner Design Using Genetic Programming for Large-Scale Laser Beam Welding Simulations

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