The deal.II Library, Version 9.5

Daniel Arndt, Wolfgang Bangerth, Maximilian Bergbauer, Marco Feder, Marc Fehling, Johannes Heinz, Timo Heister, Luca Heltai, Martin Kronbichler, Matthias Maier, Peter Munch, Jean Paul Pelteret, Bruno Turcksin, David Wells, Stefano Zampini

Research output: Contribution to journalReview articlepeer-review

16 Scopus citations

Abstract

This paper provides an overview of the new features of the finite element library deal.II, version 9.5.

Original languageEnglish
Pages (from-to)231-246
Number of pages16
JournalJournal of Numerical Mathematics
Volume31
Issue number3
DOIs
StatePublished - Sep 1 2023

Funding

This manuscript has been authored by UT-Battelle, LLC under Contract No. DE-AC05-00OR22725 with the U.S. Department of Energy. The United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a non-exclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes. The Department of Energy will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/downloads/doepublic- access-plan). deal.II is a worldwide project with dozens of contributors around the globe. Other than the authors of this paper, the following people contributed code to this release: deal.II and its developers are financially supported through a variety of funding sources: D. Arndt and B. Turcksin: Research sponsored by the Laboratory Directed Research and Development Program of Oak Ridge National Laboratory, managed by UT-Battelle, LLC, for the U. S. Department of Energy. W. Bangerth and T. Heister were partially supported by the Computational Infrastructure for Geodynamics initiative (CIG), through the National Science Foundation (NSF) under Award No. EAR-1550901 and EAR-2149126 via The University of California - Davis. W. Bangerth and M. Fehling were partially supported by Award OAC-1835673 as part of the Cyberinfrastructure for Sustained Scientific Innovation (CSSI) program. W. Bangerth was also partially supported by Awards DMS-1821210 and EAR-1925595. M. Bergbauer was supported by the German Research Foundation (DFG) under the project 'High-Performance Cut Discontinuous Galerkin Methods for Flow Problems and Surface-Coupled Multiphysics Problems Grant Agreement No. 456365667. J. Heinz was supported by the European Union s Framework Programme for Research and Innovation Horizon 2020 (2014-2020) under the Marie Skłodowska-Curie Grant Agreement No. 812719. T. Heister was also partially supported by NSF Awards OAC-2015848, DMS-2028346, and EAR-1925575. L. Heltai and M.Feder were partially supported by the Italian Ministry of University and Research (MUR), under the grant MUR PRIN 2022 No. 2022WKWZA8 'Immersed methods for multiscale and multiphysics problems (IMMEDIATE) . M. Kronbichler and P. Munch were partially supported by the German Ministry of Education and Research, project 'PDExa: Optimized software methods for solving partial differential equations on exascale supercomputers and the Bayerisches Kompetenznetzwerk für Technisch-Wissenschaftliches Hoch- und Höchstleistungsrechnen (KONWIHR), projects 'High-order matrix-free finite element implementations with hybrid parallelization and improved data locality and 'Fast and scalable finite element algorithms for coupled multiphysics problems and non-matching grids . M. Maier was partially supported by NSF Award DMS-2045636 and and by the Air Force Office of Scientific Research under grant/contract number FA9550-23-1-0007. D.Wells was supported by the NSF Award OAC-1931516. S. Zampini was supported by the KAUST Extreme Computing Research Center. Clemson University is acknowledged for generous allotment of compute time on Palmetto cluster. The authors acknowledge the Texas Advanced Computing Center (TACC) at The University of Texas at Austin for providing HPC resources that have contributed to the research results reported within this paper (see http: //www.tacc.utexas.edu). This work used the Extreme Science and Engineering Discovery Environment (XSEDE), which is supported by National Science Foundation grant No. ACI-1053575 access through the CIG Science Gateway and Community Codes for the Geodynamics Community MCA08X011 allocation. This manuscript has been authored by UT-Battelle, LLC under Contract No. DE-AC05-00OR22725 with the U.S. Department of Energy. The United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a non-exclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes. The Department of Energy will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan ( http://energy.gov/downloads/doe-public-access-plan ).

FundersFunder number
Bayerisches Kompetenznetzwerk für Technisch-Wissenschaftliches Hoch- und Höchstleistungsrechnen
DOE Public Access Plan
European Union s Framework Programme for Research and Innovation Horizon 2020
KAUST Extreme Computing Research Center
KONWIHRDMS-2045636
Texas Advanced Computing Center
United States Government
National Science FoundationEAR-1550901, EAR-2149126
U.S. Department of Energy
Air Force Office of Scientific ResearchFA9550-23-1-0007, OAC-1931516
California Department of Fish and Game456365667
Oak Ridge National Laboratory
Clemson University
University of California, DavisOAC-1835673, EAR-1925595, DMS-1821210
University of Texas at AustinACI-1053575
H2020 Marie Skłodowska-Curie ActionsDMS-2028346, EAR-1925575, OAC-2015848, 812719
Deutsche Forschungsgemeinschaft
Bundesministerium für Bildung und Forschung
Ministero dell’Istruzione, dell’Università e della Ricerca2022WKWZA8, MUR PRIN 2022

    Keywords

    • deal.II
    • finite elements
    • software

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