• DocumentCode
    1745696
  • Title

    An implementation of parallel dynamic load balancing for adaptive computing in VLSI device simulation

  • Author

    Li, Yiming ; Chen, Cheng-Kai ; Shui-Sheng Lin ; Chao, Tien-Sheng ; Jinn-Liang Lin ; Sze, S.M.

  • Author_Institution
    Dept. of Electron. Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan
  • fYear
    2001
  • fDate
    36982
  • Abstract
    A new parallel semiconductor device simulation using the dynamic load balancing approach is presented. This semiconductor device simulation based on adaptive finite volume error estimation, and monotone iterative methods has been developed and implemented on a Linux-cluster with MPI library. Two different parallel versions of the algorithm to perform a complete device simulation are proposed. The first one is a dynamic parallel domain decomposition approach. The second version is a parallel current-voltage characteristic points simulation. The implementation shows that a well-designed load balancing simulation can reduce the execution time up to an order of magnitude. Compared with the measured data, numerical simulations on P-N diode, N-MOSFET, and DTMOS devices are presented to show the accuracy and efficiency of the method
  • Keywords
    VLSI; circuit simulation; finite volume methods; iterative methods; resource allocation; semiconductor device models; DTMOS devices; Linux-cluster; MPI library; N-MOSFET; P-N diode; VLSI device simulation; adaptive computing; adaptive finite volume error estimation; dynamic parallel domain decomposition; load balancing simulation; monotone iterative methods; numerical simulations; parallel current-voltage characteristic points simulation; parallel dynamic load balancing; parallel semiconductor device simulation; Current-voltage characteristics; Error analysis; Iterative algorithms; Iterative methods; Libraries; Load management; MOSFET circuits; Numerical simulation; Semiconductor devices; Semiconductor diodes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel and Distributed Processing Symposium., Proceedings 15th International
  • Conference_Location
    San Francisco, CA
  • ISSN
    1530-2075
  • Print_ISBN
    0-7695-0990-8
  • Type

    conf

  • DOI
    10.1109/IPDPS.2001.925022
  • Filename
    925022