On the parallel scalability of hybrid linear solvers for large 3D problems

Large-scale scientific applications and industrial simulations are nowadays fully integrated in many engineering areas. They involve the solution of large sparse linear systems. The use of large high performance computers is mandatory to solve these problems. The main topic of this research work was...

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Main Author: Haidar, Azzam
Format: Others
Published: 2008
Online Access:http://oatao.univ-toulouse.fr/7711/1/haidar.pdf
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spelling ndltd-univ-toulouse.fr-oai-oatao.univ-toulouse.fr-77112017-10-11T05:09:25Z On the parallel scalability of hybrid linear solvers for large 3D problems Haidar, Azzam Large-scale scientific applications and industrial simulations are nowadays fully integrated in many engineering areas. They involve the solution of large sparse linear systems. The use of large high performance computers is mandatory to solve these problems. The main topic of this research work was the study of a numerical technique that had attractive features for an efficient solution of large scale linear systems on large massively parallel platforms. The goal is to develop a high performance hybrid direct/iterative approach for solving large 3D problems. We focus specifically on the associated domain decomposition techniques for the parallel solution of large linear systems. We have investigated several algebraic preconditioning techniques, discussed their numerical behaviours, their parallel implementations and scalabilities. We have compared their performances on a set of 3D grand challenge problems. 2008-06-23 PhD Thesis PeerReviewed application/pdf http://oatao.univ-toulouse.fr/7711/1/haidar.pdf info:eu-repo/semantics/doctoralThesis info:eu-repo/semantics/openAccess Haidar, Azzam. On the parallel scalability of hybrid linear solvers for large 3D problems. PhD, Institut National Polytechnique de Toulouse, 2008 http://ethesis.inp-toulouse.fr/archive/00000650/ http://oatao.univ-toulouse.fr/7711/
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format Others
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description Large-scale scientific applications and industrial simulations are nowadays fully integrated in many engineering areas. They involve the solution of large sparse linear systems. The use of large high performance computers is mandatory to solve these problems. The main topic of this research work was the study of a numerical technique that had attractive features for an efficient solution of large scale linear systems on large massively parallel platforms. The goal is to develop a high performance hybrid direct/iterative approach for solving large 3D problems. We focus specifically on the associated domain decomposition techniques for the parallel solution of large linear systems. We have investigated several algebraic preconditioning techniques, discussed their numerical behaviours, their parallel implementations and scalabilities. We have compared their performances on a set of 3D grand challenge problems.
author Haidar, Azzam
spellingShingle Haidar, Azzam
On the parallel scalability of hybrid linear solvers for large 3D problems
author_facet Haidar, Azzam
author_sort Haidar, Azzam
title On the parallel scalability of hybrid linear solvers for large 3D problems
title_short On the parallel scalability of hybrid linear solvers for large 3D problems
title_full On the parallel scalability of hybrid linear solvers for large 3D problems
title_fullStr On the parallel scalability of hybrid linear solvers for large 3D problems
title_full_unstemmed On the parallel scalability of hybrid linear solvers for large 3D problems
title_sort on the parallel scalability of hybrid linear solvers for large 3d problems
publishDate 2008
url http://oatao.univ-toulouse.fr/7711/1/haidar.pdf
work_keys_str_mv AT haidarazzam ontheparallelscalabilityofhybridlinearsolversforlarge3dproblems
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