• DocumentCode
    581044
  • Title

    A fast maze-free routing congestion estimator with hybrid unilateral monotonic routing

  • Author

    Liu, Wen-Hao ; Li, Yih-Lang ; Koh, Cheng-Kok

  • Author_Institution
    Dept. of Comput. Sci., Nat. Chiao-Tung Univ., Hsinchu, Taiwan
  • fYear
    2012
  • fDate
    5-8 Nov. 2012
  • Firstpage
    713
  • Lastpage
    719
  • Abstract
    Considering routability issue in the early stages of VLSI design flow can avoid generating an unroutable design. Several recent routablity-driven placers [8-11] adopt a built-in global router to estimate routing congestion. While the routability of the placement solution improves, the performance of these placers degrades. Many of these built-in global router and state-of-the-art academic global routers use maze routing to seek a detoured path. Although very effective, maze routing is relatively slower than other routing algorithms, such as pattern routing and monotonic routing algorithms. This work presents two efficient routing algorithms, called unilateral monotonic routing and hybrid unilateral monotonic routing, to replace maze routing and to realize a highly fast maze-free global router that is suited to act as a built-in routing congestion estimator for placers. Experimental results indicate that RCE achieves similar routing quality when compared with [20], as well as an over 20-fold runtime speedup in large benchmarks.
  • Keywords
    VLSI; integrated circuit design; network routing; 20-fold runtime speedup; VLSI design flow; academic global routers; built-in global router; built-in routing congestion estimator; fast maze-free routing congestion estimator; hybrid unilateral monotonic routing algorithms; routablity-driven placers; unroutable design; Algorithm design and analysis; Benchmark testing; Joining processes; Routing; Runtime; Wires;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer-Aided Design (ICCAD), 2012 IEEE/ACM International Conference on
  • Conference_Location
    San Jose, CA
  • ISSN
    1092-3152
  • Type

    conf

  • Filename
    6386752