The Distributed and Unified Numerics Environment, Version 2.4

Markus Blatt, Ansgar Burchardt, Andreas Dedner, Christian Engwer, Jorrit Fahlke, Bernd Flemisch, Christoph Gersbacher, Carsten Gräser, Felix Gruber, Christoph Grüninger, Dominic Kempf, Robert Klöfkorn, Tobias Malkmus, Steffen Müthing, Martin Nolte, Marian Piatkowski, Oliver Sander

Abstract


The DUNE project has released version~2.4 on September 25, 2015.
This paper describes the most significant improvements, interface and other changes for the DUNE core modules DUNE-COMMON, DUNE-GEOMETRY, DUNE-GRID, DUNE-ISTL, and DUNE-LOCALFUNCTIONS.


Keywords


DUNE, Numerical Software

Full Text:

PDF

References


M. Alkämper, A. Dedner, R. Klöfkorn, and M. Nolte. The Dune-ALUGrid Module. Technical report, 2015. URL http://arxiv.org/abs/1407.6954.

P. Bastian and M. Blatt. On the Generic Parallelisation of Iterative Solvers for the Finite Element Method. Int. J. Computational Science and Engineering, 4(1):56–69, 2008. URL http://dx.doi.org/10.1504/IJCSE.2008.021112.

P. Bastian, M. Blatt, A. Dedner, C. Engwer, R. Klöfkorn, R. Kornhuber, M. Ohlberger, and O. Sander. A Generic Grid Interface for Parallel and Adaptive Scientific Computing. Part II: Implementation and Tests in DUNE. Computing, 82(2–3):121–138, 2008a. URL http://dx.doi.org/10.1007/s00607-008-0004-9.

P. Bastian, M. Blatt, A. Dedner, C. Engwer, R. Klöfkorn, M. Ohlberger, and O. Sander. A Generic Grid Interface for Parallel and Adaptive Scientific Computing. Part I: Abstract Framework.Computing, 82(2–3):103–119, 2008b. URL http://dx.doi.org/10.1007/s00607-008-0003-x.

P. Bastian, F. Heimann, and S. Marnach. Generic implementation of finite element methods in the Distributed and Unified Numerics Environment (Dune). Kybernetika, 46(2):294–315, 2010. URL http://eudml.org/doc/197255.

M. Blatt and P. Bastian. The Iterative Solver Template Library. In B. Kagstrüm, E. Elmroth, J. Dongarra, and J. Wasniewski, editors, Applied Parallel Computing. State of the Art in Scientific Computing, number 4699 in Lecture Notes in Scientific Computing, pages 666–675, 2007. URL

http://dx.doi.org/10.1007/978-3-540-75755-9_82.

C. Chevalier and F. Pellegrini. PT-Scotch: A tool for effcient parallel graph ordering. Parallel computing, 34(6):318–331, 2008. URL http://dx.doi.org/10.1016/j.parco.2007.12.001.

A. Dedner, R. Klöfkorn, M. Nolte, and M. Ohlberger. AGeneric Interface for Parallel and Adaptive Scientific Computing: Abstraction Principles and the Dune-Fem Module. Computing, 90(3–4):165–196, 2010. URL http://dx.doi.org/10.1007/s00607-010-0110-3.

A. Dedner, B. Flemisch, and R. Klöfkorn. Advances in DUNE. Springer, 2012. URL http://dx.doi.org/10.1007/978-3-642-28589-9.

R. Klöfkorn and M. Nolte. Performance pitfalls in the dune grid interface. In A. Dedner,B. Flemisch, and R. Klöfkorn, editors, Advances in DUNE, pages 45–58. Springer, 2012. URL http://dx.doi.org/10.1007/978-3-642-28589-9_4.

K. Schloegel, G. Karypis, and V. Kumar. Parallel static and dynamic multi-constraint graph partitioning. Concurrency and Computation: Practice and Experience, 14(3):219 – 240, 2002. URL http://glaros.dtc.umn.edu/gkhome/metis/parmetis/overview.





DOI: http://dx.doi.org/10.11588/ans.2016.100.26526

URN (PDF): http://nbn-resolving.de/urn:nbn:de:bsz:16-ans-265261