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GPU-accelerated finite element method

Abstract

In this paper the results of the acceleration of computations involved in analysing electromagnetic problems by means of the finite element method (FEM), obtained with graphics processors (GPU), are presented. A 4.7-fold acceleration was achieved thanks to the massive parallelization of the most time-consuming steps of FEM, namely finite-element matrix-generation and the solution of a sparse system of linear equations with the conjugate gradient method and a V-cycle multilevel preconditioner.

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Details

Category:
Conference activity
Type:
materiały konferencyjne indeksowane w Web of Science
Title of issue:
IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization (NEMO) strony 1 - 2
Language:
English
Publication year:
2016
Bibliographic description:
Dziekoński A., Lamęcki A., Mrozowski M..: GPU-accelerated finite element method, W: IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization (NEMO), 2016, IEEE,.
DOI:
Digital Object Identifier (open in new tab) 10.1109/nemo.2016.7561602
Verified by:
Gdańsk University of Technology

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