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Efficient in-score sparse direct solution of large finite element problems

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    SYSNO ASEP0430422
    Document TypeA - Abstract
    R&D Document TypeNení vybrán druh dokumentu
    TitleEfficient in-score sparse direct solution of large finite element problems
    Author(s) Pařík, Petr (UT-L) RID
    Plešek, Jiří (UT-L) RID, ORCID, SAI
    Source TitleModelling 2014. - Ostrava : Ústav geoniky AV ČR, 2014 / Blaheta R. ; Starý J. ; Sysalová D. - ISBN 978-80-86407-47-0
    S. 66-67
    Number of pages2 s.
    Publication formPrint - P
    ActionModelling 2014
    Event date02.06.2014-06.06.2014
    VEvent locationRožnov pod Radhoštěm
    CountryCZ - Czech Republic
    Event typeWRD
    Languageeng - English
    CountryCZ - Czech Republic
    Keywordsfinite element method ; sparse direct solution
    Subject RIVJC - Computer Hardware ; Software
    Institutional supportUT-L - RVO:61388998
    AnnotationSparse direct solvers represent one of the possible approaches to the solution of large problems in FEM. Our approach focuses on minimizing the amount of storage space and computational time required for the solution of a large problem. This is achieved particularly by using a modified minimum ordering algorithm to reduce the fill-in, therefore, reducing the number of numerical operations needed to compute the solution. Both the factorization and the backsubstitution algorithms are parallelized using the OpenMP library to fully exploit today's multi-core and multi-processor computers. The global stiffness matrix is assembled and stored in-core throughout the computation, using an efficient sparse matrix storage format. We present some details of our sparse direct solver implementation, realized within the framework of our in-house finite element code PMD. We also show the performance results for several large real-world problems taken from the engineering practice and assess the scalability of the solver.
    WorkplaceInstitute of Thermomechanics
    ContactMarie Kajprová, kajprova@it.cas.cz, Tel.: 266 053 154 ; Jana Lahovská, jaja@it.cas.cz, Tel.: 266 053 823
    Year of Publishing2015
Number of the records: 1  

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