• DocumentCode
    1105684
  • Title

    A wire length estimation technique utilizing neighborhood density equations

  • Author

    Hamada, Takeo ; Cheng, Chung-Kuan ; Chau, Paul M.

  • Author_Institution
    Fujitsu Labs. Ltd., Kawasaki, Japan
  • Volume
    15
  • Issue
    8
  • fYear
    1996
  • fDate
    8/1/1996 12:00:00 AM
  • Firstpage
    912
  • Lastpage
    922
  • Abstract
    This paper presents a new wire length estimation technique for row-based design. Noting that the local topological structure of the network is often reflected in the local structure of the placement, we present a technique of topological analysis of the network, in which the local structure of the network is characterized by a growing sequence of multilevel neighborhoods. By assuming a pointwise independent branching process, we derive equations for the probability density of multilevel neighborhoods. The wire length distribution is found by solving these equations. For thirteen industrial circuits tested, this technique gives an average of 15.1% estimation accuracy
  • Keywords
    circuit layout CAD; logic CAD; multivalued logic circuits; network routing; network topology; wiring; estimation accuracy; industrial circuits; local structure; local topological structure; logic CAD; multilevel neighborhoods; neighborhood density equations; placement; pointwise independent branching process; probability density; row-based design; topological analysis; wire length estimation technique; Circuit testing; Computer science; Equations; Error correction; Integrated circuit interconnections; Laboratories; Pins; Timing; Two dimensional displays; Wire;
  • fLanguage
    English
  • Journal_Title
    Computer-Aided Design of Integrated Circuits and Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0278-0070
  • Type

    jour

  • DOI
    10.1109/43.511571
  • Filename
    511571