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dc.contributor.authorAbouEisha, H.
dc.contributor.authorCalo, Victor
dc.contributor.authorJopek, K.
dc.contributor.authorMoshkov, M.
dc.contributor.authorPaszynska, A.
dc.contributor.authorPaszynski, M.
dc.date.accessioned2018-08-08T04:41:54Z
dc.date.available2018-08-08T04:41:54Z
dc.date.created2018-08-08T03:50:58Z
dc.date.issued2018
dc.identifier.citationAbouEisha, H. and Calo, V. and Jopek, K. and Moshkov, M. and Paszynska, A. and Paszynski, M. 2018. Bisections-Weighted-by-Element-Size-and-Order Algorithm to Optimize Direct Solver Performance on 3D hp-adaptive Grids, in Shi Y. et al. (eds), Computational Science – ICCS 2018, Lecture Notes in Computer Science, vol 10861, pp. 760-772. Cham: Springer.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/69673
dc.identifier.doi10.1007/978-3-319-93701-4_60
dc.description.abstract

The hp-adaptive Finite Element Method (hp-FEM) generates a sequence of adaptive grids with different polynomial orders of approximation and element sizes. The hp-FEM delivers exponential convergence of the numerical error with respect to the mesh size. In this paper, we propose a heuristic algorithm to construct element partition trees. The trees can be transformed directly into the orderings, which control the execution of the multi-frontal direct solvers during the hp refined finite element method. In particular, the orderings determine the number of floating point operations performed by the solver. Thus, the quality of the orderings obtained from the element partition trees is important for good performance of the solver. Our heuristic algorithm has been implemented in 3D and tested on a sequence of hp-refined meshes. We compare the quality of the orderings found by the heuristic algorithm to those generated by alternative state-of-the-art algorithms. We show 50% reduction in flops number and execution time.

dc.titleBisections-Weighted-by-Element-Size-and-Order Algorithm to Optimize Direct Solver Performance on 3D hp-adaptive Grids
dc.typeConference Paper
dcterms.source.volume10861 LNCS
dcterms.source.startPage760
dcterms.source.endPage772
dcterms.source.titleLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dcterms.source.seriesLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dcterms.source.isbn9783319937007
curtin.departmentSchool of Earth and Planetary Sciences (EPS)
curtin.accessStatusFulltext not available


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