DocumentCode
269471
Title
GPU-accelerated mixed precision algebraic multigrid preconditioners for discrete elliptic field problems
Author
Richter, Chris ; Schöps, Sebastian ; Clemens, Markus
Author_Institution
Electromagn. Theor., Bergische Univ. Wuppertal, Wuppertal, Germany
fYear
2014
fDate
March 31 2014-April 1 2014
Firstpage
1
Lastpage
2
Abstract
In this paper the use of a mixed precision implementation of Krylov subspace methods with multigrid preconditioners is proposed for solving the large linear systems stemming from Finite Element or Finite Difference method discretizations of elliptic problems as they occur e.g. in electrostatics. The computational limits in speed and memory are discussed using the numerical example of a large scale 3D high voltage isolator model.
Keywords
computational electromagnetics; finite difference methods; finite element analysis; graphics processing units; GPU; Krylov subspace method; discrete elliptic field problem; finite difference method discretization; finite element method; large scale 3D high voltage isolator model; linear system; mixed precision algebraic multigrid preconditioner; CUDA; Conjugate Gradients; Finite Elements; GPU Programming; Mixed Precision;
fLanguage
English
Publisher
iet
Conference_Titel
Computation in Electromagnetics (CEM 2014), 9th IET International Conference on
Conference_Location
London
Electronic_ISBN
978-1-84919-817-2
Type
conf
DOI
10.1049/cp.2014.0185
Filename
6826814
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