IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-540-27912-9_59.html
   My bibliography  Save this book chapter

Parallel Unsteady 3D MG Incompressible Flow

In: Current Trends in High Performance Computing and Its Applications

Author

Listed:
  • C. H. Tai

    (Nanyang Technological University, Nanyang Centre for Supercomputing and Visualization
    Nanyang Technological University, School of Mechanical and Production Engineering)

  • K. M. Liew

    (Nanyang Technological University, Nanyang Centre for Supercomputing and Visualization
    Nanyang Technological University, School of Mechanical and Production Engineering)

  • Y. Zhao

    (Nanyang Technological University, School of Mechanical and Production Engineering)

Abstract

The development and validation of a parallel unstructured tetrahedral non-nested multigrid method for simulation of unsteady 3D incompressible viscous flow are described in this paper. The Navier-Stokes solver is based on the artificial compressibility method (ACM) and a higher-order characteristics-based finite-volume scheme on unstructured multigrid. Unsteady flow is calculated with a matrix-free implicit dual time stepping scheme. The parallelization of the multigrid solver is achieved by multigrid domain decomposition approach (MG-DD). There are two parallelization strategies proposed in this work, the first strategy is a one-level parallelization strategy using geometric domain decomposition technique alone, the second strategy is a two-level parallelization strategy that consists of a hybrid of both geometric domain decomposition and data decomposition techniques. The Message- Passing Interface (MPI) Library is used for communication of data and loop arrays are decomposed using the OpenMP standard. The parallel codes using single grid and multigrid are used to simulate steady and unsteady incompressible viscous flows for a 3D lid-driven cavity flow and flow over a 3D circular cylinder for validation and performance evaluation purposes. The speedups and efficiencies obtained by both the parallel solvers are reasonably good for all test cases.

Suggested Citation

  • C. H. Tai & K. M. Liew & Y. Zhao, 2005. "Parallel Unsteady 3D MG Incompressible Flow," Springer Books, in: Wu Zhang & Weiqin Tong & Zhangxin Chen & Roland Glowinski (ed.), Current Trends in High Performance Computing and Its Applications, pages 443-450, Springer.
  • Handle: RePEc:spr:sprchp:978-3-540-27912-9_59
    DOI: 10.1007/3-540-27912-1_59
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:sprchp:978-3-540-27912-9_59. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.