Open this publication in new window or tab >>2012 (English)In: SIAM Journal on Scientific Computing, ISSN 1064-8275, E-ISSN 1095-7197, Vol. 34, no 1, p. C24-C42Article in journal (Refereed) Published
Abstract [en]
In this paper we describe a general adaptive finite element framework for unstructured tetrahedral meshes without hanging nodes suitable for large scale parallel computations. Our framework is designed to scale linearly to several thousands of processors, using fully distributed and efficient algorithms. The key components of our implementation, local mesh refinement and load balancing algorithms, are described in detail. Finally, we present a theoretical and experimental performance study of our framework, used in a large scale computational fluid dynamics computation, and we compare scaling and complexity of different algorithms on different massively parallel architectures.
Keywords
adaptive methods, load balancing, unstructured local mesh refinement
National Category
Computational Mathematics
Identifiers
urn:nbn:se:kth:diva-30284 (URN)10.1137/100800683 (DOI)000300937500028 ()2-s2.0-84861384674 (Scopus ID)
Funder
Swedish e‐Science Research Center
Note
QC 20120326
2011-02-212011-02-212024-03-18Bibliographically approved