• DocumentCode
    2248006
  • Title

    Parallel finite element solver for multi-core computers

  • Author

    Fialko, Sergiy

  • Author_Institution
    Tadeusz Kosciuszko Cracow Univ. of Technol., Kraków, Poland
  • fYear
    2012
  • fDate
    9-12 Sept. 2012
  • Firstpage
    525
  • Lastpage
    532
  • Abstract
    The sparse direct parallel finite element solver PARFES, which is based on L·S·LT factoring of symmetric stiffness matrix, where S is the sign diagonal, is developed for analysis of problems of structural and solid mechanics using multi-core desktop computers. The subdivision of sparse matrix into rectangular blocks and the use of procedures from level 3 BLAS leads to high-performance factorization. Comparisons against multi-frontal solvers and PARDISO from the Intel Math Kernel Library when solving real problems from the SCAD Soft1 collection demonstrate that PARFES is a good alternative to the multi-frontal method and, unlike PARDISO, allows solving large-scale problems using computers with limited amount of RAM, owing to virtualization.
  • Keywords
    finite element analysis; parallel processing; shared memory systems; sparse matrices; Intel math kernel library; L·S·LT factoring; PARDISO; SCAD Soft collection; high-performance factorization; level 3 BLAS; multicore desktop computers; multifrontal solvers; shared-memory computers; solid mechanics; sparse direct parallel finite element solver PARFES; sparse matrix; structural mechanics; symmetric stiffness matrix; Computers; Finite element methods; Mathematical model; Niobium; Random access memory; Sparse matrices; Symmetric matrices;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Information Systems (FedCSIS), 2012 Federated Conference on
  • Conference_Location
    Wroclaw
  • Print_ISBN
    978-1-4673-0708-6
  • Electronic_ISBN
    978-83-60810-51-4
  • Type

    conf

  • Filename
    6354298