Bisections-Weighted-by-Element-Size-and-Order Algorithm to Optimize Direct Solver Performance on 3D hp-adaptive Grids
Type
Conference PaperKAUST Department
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) DivisionComputer Science Program
Applied Mathematics and Computational Science Program
Date
2018-06-12Online Publication Date
2018-06-12Print Publication Date
2018Permanent link to this record
http://hdl.handle.net/10754/630484
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Show full item recordAbstract
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.Citation
AbouEisha H, Calo VM, Jopek K, Moshkov M, Paszyńska A, et al. (2018) Bisections-Weighted-by-Element-Size-and-Order Algorithm to Optimize Direct Solver Performance on 3D hp-adaptive Grids. Computational Science – ICCS 2018: 760–772. Available: http://dx.doi.org/10.1007/978-3-319-93701-4_60.Publisher
Springer NatureConference/Event name
18th International Conference on Computational Science, ICCS 2018Additional Links
https://link.springer.com/chapter/10.1007%2F978-3-319-93701-4_60ae974a485f413a2113503eed53cd6c53
10.1007/978-3-319-93701-4_60