Scalable and Robust BDDC Preconditioners for Reservoir and Electromagnetics Modeling
KAUST DepartmentExtreme Computing Research Center
Permanent link to this recordhttp://hdl.handle.net/10754/605016
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AbstractThe 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.
CitationZampini, S., Widlund, O. B., & Keyes, D. E. (2015). Scalable and Robust BDDC Preconditioners for Reservoir and Electromagnetics Modeling. Second EAGE Workshop on High Performance Computing for Upstream. doi:10.3997/2214-4609.201414030
SponsorsThe 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.
Conference/Event nameSecond EAGE Workshop on High Performance Computing for Upstream