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Research of the Algebraic Multigrid Method for Electron Optical Simulator

At present, electron optical simulator (EOS) takes a long time to solve linear FEM systems. The algebraic multigrid preconditioned conjugate gradient (AMGPCG) method can improve the efficiency of solving systems. This paper is focused on the implementation of the AMGPCG method in EOS. The aggregatio...

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Detalles Bibliográficos
Autores principales: Wang, Zhi, Hu, Quan, Zhu, Xiao-Fang, Li, Bin, Hu, Yu-Lu, Huang, Tao, Yang, Zhong-Hai, Li, Liang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9407372/
https://www.ncbi.nlm.nih.gov/pubmed/36010797
http://dx.doi.org/10.3390/e24081133
Descripción
Sumario:At present, electron optical simulator (EOS) takes a long time to solve linear FEM systems. The algebraic multigrid preconditioned conjugate gradient (AMGPCG) method can improve the efficiency of solving systems. This paper is focused on the implementation of the AMGPCG method in EOS. The aggregation-based scheme, which uses two passes of a pairwise matching algorithm and the K-cyle scheme, is adopted in the aggregation-based algebraic multigrid method. Numerical experiments show the advantages and disadvantages of the AMG algorithm in peak memory and solving efficiency. The AMGPCG is more efficient than the iterative methods used in the past and only needs one coarsening when EOS computes the particle motion trajectory.