• DocumentCode
    2980639
  • Title

    Congestion minimization during placement without estimation

  • Author

    Bo Hu ; Marek-Sadowska, M.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., California Univ., Santa Barbara, CA, USA
  • fYear
    2002
  • fDate
    10-14 Nov. 2002
  • Firstpage
    739
  • Lastpage
    745
  • Abstract
    This paper presents a new congestion minimization technique for standard cell global placement. The most distinct feature of this approach is that it does not follow the traditional "estimate-then-eliminate" strategy. Instead, it avoids the excessive usage of routing resources by "local" nets, so that more routing resources are available for the uncertain "global" nets. The experimental results show that our new technique, SPARSE, achieves better routability than the traditional total wire length (bounding box) guided placers, which had been shown to deliver the best routability results among the placers optimizing different cost functions. Another feature of SPARSE is the capability of allocating white space implicitly. SPARSE exploits the well known empirical Rent\´s rule and is able to improve the routability even more in the presence of white space. Compared to the most recent academic routability-driven placer, Dragon, SPARSE is able to produce solutions with equal or better routability.
  • Keywords
    circuit layout CAD; circuit optimisation; integrated circuit layout; integrated circuit modelling; logic CAD; Dragon routability-driven placer; Rent rule; SPARSE routability; bounding box placers; congestion minimization techniques; cost function optimization; estimate-then-eliminate strategies; estimation-less placement; global nets; implicit white space allocation; local nets; routing resource usage; standard cell global placement; total wire length guided placers; Cost function; Logic design; Routing; Simulated annealing; Timing; Very large scale integration; White spaces; Wire; Wiring;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Aided Design, 2002. ICCAD 2002. IEEE/ACM International Conference on
  • Conference_Location
    San Jose, CA, USA
  • ISSN
    1092-3152
  • Print_ISBN
    0-7803-7607-2
  • Type

    conf

  • DOI
    10.1109/ICCAD.2002.1167614
  • Filename
    1167614