• DocumentCode
    185335
  • Title

    Hybrid MPI-OpenMP parallel optimization for thermo-fluid problems

  • Author

    Depolli, M.

  • Author_Institution
    Dept. of Commun. Syst., Jozef Stefan Inst., Ljubljana, Slovenia
  • fYear
    2014
  • fDate
    26-30 May 2014
  • Firstpage
    367
  • Lastpage
    372
  • Abstract
    This article deals with the minimization of the energy transport through the isolated enclosure by means of obstructing the fluid flow. The differentially heated cavity is partially covered with non-permeable obstacles that affect the natural convection flow. We seek the optimal position and shape of the obstacles to minimize the heat flux through the domain with the minimal cumulative size of the obstacles, i.e. we maximize insulation with minimal material needed. The task is performed by evolutionary multi-objective optimization of a local thermo-fluid solver, which comprises energy transport and incompressible fluid dynamics. An effective parallel algorithm is presented, in which the physical model is solved by a local meshless numerical method on shared memory architecture, coupled by optimization algorithm that exploits the distributed computer parallelism.
  • Keywords
    computational fluid dynamics; evolutionary computation; mechanical engineering computing; message passing; minimisation; natural convection; distributed computer parallelism; energy transport; evolutionary multiobjective optimization; heat flux; heated cavity; hybrid MPI-OpenMP parallel optimization; incompressible fluid dynamics; local meshless numerical method; local thermo-fluid solver; minimization; natural convection flow; shared memory architecture; thermo-fluid problem; Computational modeling; Computers; Convergence; Heating; Optimization; Sociology; Statistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Communication Technology, Electronics and Microelectronics (MIPRO), 2014 37th International Convention on
  • Conference_Location
    Opatija
  • Print_ISBN
    978-953-233-081-6
  • Type

    conf

  • DOI
    10.1109/MIPRO.2014.6859592
  • Filename
    6859592