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Direct Sparse Factorization of Blocked Saddle Point Matrices
Umeå University, Faculty of Science and Technology, High Performance Computing Center North (HPC2N).
Umeå University, Faculty of Science and Technology, Department of Computing Science.
Umeå University, Faculty of Science and Technology, High Performance Computing Center North (HPC2N).
2012 (English)In: Applied parallel and scientific computing: Part II, 2012, 324-335 p.Conference paper, Published paper (Refereed)
Abstract [en]

We present a parallel algorithm for the direct factorization of sparse saddle-point matrices of moderate size coming from real-time multibody dynamics simulations. We used the specific structure of these problems both for a priori construction of supernodes and to avoid all dynamic permutations during factorization. For the latter, we present a technique we call "leaf swapping" which performs permutations of the supernodes in the elimination tree without any reference to numerical values. The results compare favorably with currently available high performance codes on our problem sets because of the high overhead necessary to process very large problems on increasingly complex supercomputers.

Place, publisher, year, edition, pages
2012. 324-335 p.
Series
Lecture Notes in Computer Science, 7134
National Category
Computer Science
Identifiers
URN: urn:nbn:se:umu:diva-61580ISI: 000309716000032ISBN: 978-3-642-28144-0 (print)OAI: oai:DiVA.org:umu-61580DiVA: diva2:572327
Conference
10th Nordic International Conference on Applied Parallel Computing - State of the Art in Scientific and Parallel Computing (PARA), JUN 06-09, 2010, Reykjavik, ICELAND
Available from: 2012-11-27 Created: 2012-11-20 Last updated: 2012-11-27Bibliographically approved

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Lacoursiere, ClaudeLinde, Mattias

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Lacoursiere, ClaudeLinde, MattiasSabelström, Olof
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