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2008 11th IEEE International Conference on Computational Science and Engineering
A Parallel Direct/Iterative Solver Based on a Schur Complement Approach
July 16-July 18
ISBN: 978-0-7695-3193-9
| ASCII Text | x | ||
| J. Gaidamour, P. H?non, "A Parallel Direct/Iterative Solver Based on a Schur Complement Approach," 2012 IEEE 15th International Conference on Computational Science and Engineering, pp. 98-105, 2008 11th IEEE International Conference on Computational Science and Engineering, 2008. | |||
| BibTex | x | ||
| @article{ 10.1109/CSE.2008.36, author = {J. Gaidamour and P. H?non}, title = {A Parallel Direct/Iterative Solver Based on a Schur Complement Approach}, journal ={2012 IEEE 15th International Conference on Computational Science and Engineering}, volume = {0}, year = {2008}, isbn = {978-0-7695-3193-9}, pages = {98-105}, doi = {http://doi.ieeecomputersociety.org/10.1109/CSE.2008.36}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - 2012 IEEE 15th International Conference on Computational Science and Engineering TI - A Parallel Direct/Iterative Solver Based on a Schur Complement Approach SN - 978-0-7695-3193-9 SP98 EP105 A1 - J. Gaidamour, A1 - P. H?non, PY - 2008 KW - parallel sparse linear solver KW - Schur complement KW - iterative method KW - incomplete factorization KW - domain decomposition KW - hierarchical interface decomposition. VL - 0 JA - 2012 IEEE 15th International Conference on Computational Science and Engineering ER - | |||
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CSE.2008.36
In this paper, we present HIPS (Hierarchical Iterative Parallel Solver) a parallel sparse linear solver that combines effectively direct and iterative methods through a Schur complement approach. The corner stone of our method is to use a special decomposition and ordering of the matrix that allows to construct a reduced system and a robust preconditioner at low memory cost. The parallelization scheme we describe is original for this type of solver and provide a natural way to find a good trade-off between memory and convergence. Eventually, we give some results obtained by our solver on large referenced test cases.
Index Terms:
parallel sparse linear solver, Schur complement, iterative method, incomplete factorization, domain decomposition, hierarchical interface decomposition.
Citation:
J. Gaidamour, P. H?non, "A Parallel Direct/Iterative Solver Based on a Schur Complement Approach," cse, pp.98-105, 2008 11th IEEE International Conference on Computational Science and Engineering, 2008
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