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dc.contributor.authorZampini, Stefano
dc.date.accessioned2016-11-21T06:53:12Z
dc.date.available2016-11-21T06:53:12Z
dc.date.issued2016-10-27
dc.identifier.citationZampini S (2016) PCBDDC: A Class of Robust Dual-Primal Methods in PETSc. SIAM Journal on Scientific Computing 38: S282–S306. Available: http://dx.doi.org/10.1137/15M1025785.
dc.identifier.issn1064-8275
dc.identifier.issn1095-7197
dc.identifier.doi10.1137/15M1025785
dc.identifier.urihttp://hdl.handle.net/10754/621844
dc.description.abstractA class of preconditioners based on balancing domain decomposition by constraints methods is introduced in the Portable, Extensible Toolkit for Scientific Computation (PETSc). The algorithm and the underlying nonoverlapping domain decomposition framework are described with a specific focus on their current implementation in the library. Available user customizations are also presented, together with an experimental interface to the finite element tearing and interconnecting dual-primal methods within PETSc. Large-scale parallel numerical results are provided for the latest version of the code, which is able to tackle symmetric positive definite problems with highly heterogeneous distributions of the coefficients. Current limitations and future extensions of the preconditioner class are also discussed.
dc.description.sponsorshipThe author wishes to thank the KAUST Supercomputing Laboratory and Cray Inc. for early access to Shaheen and the Swiss National Supercomputing Centre (CSCS), in particular its director Thomas Schultess, for access to the Cray XC40 PizDora. The author is also grateful to Prof. O. B. Widlund, Prof. D. Keyes, and two anonymous referees for valuable comments and suggestions which helped improve the manuscript.
dc.publisherSociety for Industrial & Applied Mathematics (SIAM)
dc.relation.urlhttp://epubs.siam.org/doi/10.1137/15M1025785
dc.rightsArchived with thanks to SIAM Journal on Scientific Computing
dc.subjectbalancing domain decomposition by constraints
dc.subjectBDDC
dc.subjectFETI-DP
dc.subjectPETSc
dc.subjectdomain decomposition
dc.titlePCBDDC: A Class of Robust Dual-Primal Methods in PETSc
dc.typeArticle
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentExtreme Computing Research Center
dc.identifier.journalSIAM Journal on Scientific Computing
dc.eprint.versionPublisher's Version/PDF
kaust.personZampini, Stefano
refterms.dateFOA2018-06-13T14:03:52Z
dc.date.published-online2016-10-27
dc.date.published-print2016-01


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