• DocumentCode
    2679214
  • Title

    A SimPLR method for routability-driven placement

  • Author

    Kim, Myung-Chul ; Hu, Jin ; Lee, Dong-Jin ; Markov, Igor L.

  • Author_Institution
    Dept. of EECS, Univ. of Michigan, Ann Arbor, MI, USA
  • fYear
    2011
  • fDate
    7-10 Nov. 2011
  • Firstpage
    67
  • Lastpage
    73
  • Abstract
    Highly-optimized placements may lead to irreparable routing congestion due to inadequate models of modern interconnect stacks and the impact of partial routing obstacles. Additional challenges in routability-driven placement include scalability to large netlists and limiting the complexity of software integration. Addressing these challenges, we develop lookahead routing to give the placer advance, firsthand knowledge of trouble spots, not distorted by crude congestion models. We also extend global placement to (i) spread cells apart in congested areas, and (ii) move cells together in less-congested areas to ensure short, routable interconnects and moderate runtime. While previous work adds isolated steps to global placement, our SIMultaneous PLace-and-Route tool SimPLR integrates a layer- and via-aware global router into a leading-edge, force-directed placer. The complexity of integration is mitigated by careful design of simple yet effective optimizations. On the ISPD 2011 Contest Benchmark Suite, with the official evaluation protocol, SimPLR outperforms every contestant on every benchmark.
  • Keywords
    integrated software; telecommunication computing; telecommunication network routing; SimPLR method; interconnect stack; layer-aware global router; look-ahead routing; partial routing obstacle; routability-driven placement; routing congestion; simultaneous place-and-route tool; software integration; via-aware global router; Benchmark testing; Estimation; Layout; Metals; Optimization; Routing; Runtime;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer-Aided Design (ICCAD), 2011 IEEE/ACM International Conference on
  • Conference_Location
    San Jose, CA
  • ISSN
    1092-3152
  • Print_ISBN
    978-1-4577-1399-6
  • Electronic_ISBN
    1092-3152
  • Type

    conf

  • DOI
    10.1109/ICCAD.2011.6105307
  • Filename
    6105307