• DocumentCode
    1891241
  • Title

    Monte-Carlo algorithms for layout density control

  • Author

    Chen, Yu ; Kahng, Andrew B. ; Robins, Gabriel ; Zelikovsky, Alexander

  • Author_Institution
    Dept. of Comput. Sci., California Univ., Los Angeles, CA, USA
  • fYear
    2000
  • fDate
    9-9 June 2000
  • Firstpage
    523
  • Lastpage
    528
  • Abstract
    Chemical-mechanical polishing (CMP) and other manufacturing steps in very deep submicron VLSI have varying effects on device and interconnect features, depending on local characteristics of the layout. To enhance manufacturability and performance predictability, we seek to make the layout uniform with respect to prescribed density criteria, by inserting "fill" geometries into the layout. We propose several new Monte-Carlo based filling methods with fast dynamic data structures and report the tradeoff between runtime and accuracy for the suggested methods. Compared to existing linear programming based approaches, our Monte-Carlo methods seem very promising as they produce nearly-optimal solutions within reasonable runtimes.
  • Keywords
    Monte Carlo methods; VLSI; circuit layout CAD; data structures; integrated circuit layout; Monte-Carlo algorithms; Monte-Carlo based filling methods; deep submicron VLSI; fast dynamic data structures; fill geometries insertion; layout density control; prescribed density criteria; uniform layout; Chemical technology; Computer science; Filling; Geometry; Manufacturing processes; Runtime; Size control; Slurries; Tiles; Very large scale integration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Design Automation Conference, 2000. Proceedings of the ASP-DAC 2000. Asia and South Pacific
  • Conference_Location
    Yokohama, Japan
  • Print_ISBN
    0-7803-5973-9
  • Type

    conf

  • DOI
    10.1109/ASPDAC.2000.835156
  • Filename
    835156