• DocumentCode
    688390
  • Title

    Parallel Computation Efficiency Analysis of Numerical Simulation of Copper Flash Smelting Furnace

  • Author

    Qing Wu ; Yang Dai ; Jun Chen ; Zhuo Chen

  • Author_Institution
    High Performance Comput. Center, Central South Univ., Changsha, China
  • fYear
    2013
  • fDate
    13-15 Nov. 2013
  • Firstpage
    1953
  • Lastpage
    1957
  • Abstract
    Efficiency of parallel computation is always a fundamental research field in high performance computing. A study was carried out in this paper by combining the high performance parallel computing with numerical simulations of copper flash smelting furnace, to investigate influences of various factors upon the computing speed, such as the mesh types, the number of grid and CPU cores. It aims to provide some useful advices for the improvement of the computing efficiency for numerical simulations carried out on the parallel computing platform.
  • Keywords
    furnaces; numerical analysis; parallel processing; production engineering computing; smelting; CPU cores; copper flash smelting furnace; grid; high performance parallel computing; numerical simulations; parallel computation efficiency analysis; parallel computing platform; performance computing; Ash; Combustion; Computational modeling; Equations; Furnaces; Mathematical model; Smelting; Computing efficiency; Parallel computing; copper flash smelting furnace; numerical simulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    High Performance Computing and Communications & 2013 IEEE International Conference on Embedded and Ubiquitous Computing (HPCC_EUC), 2013 IEEE 10th International Conference on
  • Conference_Location
    Zhangjiajie
  • Type

    conf

  • DOI
    10.1109/HPCC.and.EUC.2013.281
  • Filename
    6832164