Scalable and Robust BDDC Preconditioners for Reservoir and Electromagnetics Modeling

S. Zampini; O.B. Widlund; David E. Keyes

doi:10.3997/2214-4609.201414030

Scalable and Robust BDDC Preconditioners for Reservoir and Electromagnetics Modeling

S. Zampini, O.B. Widlund, David E. Keyes

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

The purpose of the study is to show the effectiveness of recent algorithmic advances in Balancing Domain Decomposition by Constraints (BDDC) preconditioners for the solution of elliptic PDEs with highly heterogeneous coefficients, and discretized by means of the finite element method. Applications to large linear systems generated by div- and curl- conforming finite elements discretizations commonly arising in the contexts of modelling reservoirs and electromagnetics will be presented.

Original language	English (US)
Title of host publication	Second EAGE Workshop on High Performance Computing for Upstream
Publisher	EAGE Publications
ISBN (Print)	9789462821606
DOIs	https://doi.org/10.3997/2214-4609.201414030
State	Published - Sep 13 2015

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10.3997/2214-4609.201414030

https://repository.kaust.edu.sa/bitstream/10754/605016/1/Zampini_EAGE_extended_abstract.pdf

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title = "Scalable and Robust BDDC Preconditioners for Reservoir and Electromagnetics Modeling",

abstract = "The purpose of the study is to show the effectiveness of recent algorithmic advances in Balancing Domain Decomposition by Constraints (BDDC) preconditioners for the solution of elliptic PDEs with highly heterogeneous coefficients, and discretized by means of the finite element method. Applications to large linear systems generated by div- and curl- conforming finite elements discretizations commonly arising in the contexts of modelling reservoirs and electromagnetics will be presented.",

author = "S. Zampini and O.B. Widlund and Keyes, {David E.}",

note = "KAUST Repository Item: Exported on 2020-10-01 Acknowledgements: The authors wish to thanks the Swiss National Supercomputing Centre CSCS and in particular its director Thomas Schulthess for having given them the opportunity to run the experimental tests provided in the current work.",

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doi = "10.3997/2214-4609.201414030",

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AU - Zampini, S.

AU - Widlund, O.B.

AU - Keyes, David E.

N1 - KAUST Repository Item: Exported on 2020-10-01 Acknowledgements: The authors wish to thanks the Swiss National Supercomputing Centre CSCS and in particular its director Thomas Schulthess for having given them the opportunity to run the experimental tests provided in the current work.

PY - 2015/9/13

Y1 - 2015/9/13

N2 - The purpose of the study is to show the effectiveness of recent algorithmic advances in Balancing Domain Decomposition by Constraints (BDDC) preconditioners for the solution of elliptic PDEs with highly heterogeneous coefficients, and discretized by means of the finite element method. Applications to large linear systems generated by div- and curl- conforming finite elements discretizations commonly arising in the contexts of modelling reservoirs and electromagnetics will be presented.

AB - The purpose of the study is to show the effectiveness of recent algorithmic advances in Balancing Domain Decomposition by Constraints (BDDC) preconditioners for the solution of elliptic PDEs with highly heterogeneous coefficients, and discretized by means of the finite element method. Applications to large linear systems generated by div- and curl- conforming finite elements discretizations commonly arising in the contexts of modelling reservoirs and electromagnetics will be presented.

UR - http://hdl.handle.net/10754/605016

UR - http://www.earthdoc.org/publication/publicationdetails/?publication=82629

U2 - 10.3997/2214-4609.201414030

DO - 10.3997/2214-4609.201414030

M3 - Conference contribution

SN - 9789462821606

BT - Second EAGE Workshop on High Performance Computing for Upstream

PB - EAGE Publications

ER -

Scalable and Robust BDDC Preconditioners for Reservoir and Electromagnetics Modeling

Abstract

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