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IEEE Transactions on Magnetics
Article . 2017 . Peer-reviewed
License: IEEE Copyright
Data sources: Crossref
https://doi.org/10.1109/cefc.2...
Article . 2016 . Peer-reviewed
Data sources: Crossref
https://dx.doi.org/10.48550/ar...
Article . 2016
License: arXiv Non-Exclusive Distribution
Data sources: Datacite
DBLP
Article . 2018
Data sources: DBLP
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GPU Accelerated Explicit Time-Integration Methods for Electro-Quasi-Static Fields

Authors: Christian Richter; Sebastian Schops; Markus Clemens;

GPU Accelerated Explicit Time-Integration Methods for Electro-Quasi-Static Fields

Abstract

Electro-quasistatic field problems involving nonlinear materials are commonly discretized in space using finite elements. In this paper, it is proposed to solve the resulting system of ordinary differential equations by an explicit Runge-Kutta-Chebyshev time-integration scheme. This mitigates the need for Newton-Raphson iterations, as they are necessary within fully implicit time integration schemes. However, the electro-quasistatic system of ordinary differential equations has a Laplace-type mass matrix such that parts of the explicit time-integration scheme remain implicit. An iterative solver with constant preconditioner is shown to efficiently solve the resulting multiple right-hand side problem. This approach allows an efficient parallel implementation on a system featuring multiple graphic processing units.

4 pages, 5 figures

Related Organizations
Keywords

FOS: Computer and information sciences, G.1.8, FOS: Physical sciences, Numerical Analysis (math.NA), Computational Physics (physics.comp-ph), 65M60, 78A30, 78M10, 65Y05, Computational Engineering, Finance, and Science (cs.CE), FOS: Mathematics, Mathematics - Numerical Analysis, Computer Science - Computational Engineering, Finance, and Science, Physics - Computational Physics

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Average
Top 10%
Average
Green
bronze