• DocumentCode
    2955730
  • Title

    Accelerating 3-D capacitance extraction in deep sub-micron VLSI design using vector/parallel computing

  • Author

    Shahbazi, Nima ; Sarbazi-Azad, Hamid

  • Author_Institution
    IPM Sch. of Comput. Sci., Sharif Univ. of Technol., Tehran
  • Volume
    2
  • fYear
    2007
  • fDate
    5-7 Dec. 2007
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    The widespread application of deep sub-micron and multilayer routing techniques makes the interconnection parasitic influence become the main factor to limit the performance of VLSI circuits. Therefore, fast and accurate 3D capacitance extraction is essential for ultra deep sub-micron design (UDSM) of integrated circuits. Parallel processing provides an approach to reducing the simulation turn-around time. In this paper, we present parallel formulations for 3D capacitance extraction based on P-FFT algorithm, on a personal computer (PC) or on a network of PCs. We implement both vector and parallel versions of 3D capacitance extraction algorithm simultaneously and evaluate our implementation quality in terms of speed up achieved.
  • Keywords
    VLSI; capacitance; circuit CAD; fast Fourier transforms; integrated circuit design; integrated circuit interconnections; parallel processing; 3D capacitance extraction; P-FFT algorithm; deep submicron VLSI design; integrated circuits; interconnection parasitic influence; multilayer routing techniques; parallel processing; vector computing; Acceleration; Circuit simulation; Computational modeling; Integrated circuit interconnections; Microcomputers; Nonhomogeneous media; Parallel processing; Parasitic capacitance; Routing; Very large scale integration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel and Distributed Systems, 2007 International Conference on
  • Conference_Location
    Hsinchu
  • ISSN
    1521-9097
  • Print_ISBN
    978-1-4244-1889-3
  • Electronic_ISBN
    1521-9097
  • Type

    conf

  • DOI
    10.1109/ICPADS.2007.4447827
  • Filename
    4447827