• DocumentCode
    1588137
  • Title

    An optimal ILP formulation for minimizing the number of feedthrough cells in standard cell placement

  • Author

    Yan, Jin-Tai

  • Author_Institution
    Dept. of Comput. Sci. & Inf. Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan
  • fYear
    1996
  • Firstpage
    100
  • Lastpage
    105
  • Abstract
    Standard cell design style has been widely applied for the design automation of VLSI circuits because of the easy implementation of the layout design. Since the aim of most of standard cell design systems is to minimize the utilization of chip area, the number of feedthrough cells in a standard cell layout will be further minimized to reduce the layout site. In this paper, first, we model a row assignment problem to minimize the number of feedthrough cells in a standard cell placement. Furthermore, an integer linear programming (ILP) optimal approach is proposed to minimize the number of feedthrough cells for the row assignment in a standard cell placement. Finally, two standard cell benchmarks, Primary1 and Primary2, have been tested on the proposed ILP approach for the assignment of different number of rows, and the experimental results show that the ILP approach is efficient for the assignment of cell rows
  • Keywords
    VLSI; cellular arrays; circuit layout CAD; integer programming; integrated circuit layout; linear programming; logic CAD; logic partitioning; network routing; Primary1; Primary2; VLSI circuits; cell rows; chip area; design automation; design style; feedthrough cells; integer linear programming; layout design; layout site; optimal ILP formulation; row assignment; row assignment problem; standard cell placement; Benchmark testing; Circuits; Design automation; Heuristic algorithms; Information science; Integer linear programming; Partitioning algorithms; Pins; Very large scale integration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    VLSI, 1996. Proceedings., Sixth Great Lakes Symposium on
  • Conference_Location
    Ames, IA
  • ISSN
    1066-1395
  • Print_ISBN
    0-8186-7502-0
  • Type

    conf

  • DOI
    10.1109/GLSV.1996.497602
  • Filename
    497602