• DocumentCode
    3163331
  • Title

    Multichip module placement with heat consideration

  • Author

    Tang, Man Chak ; Carothers, Jo Dale

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Arizona Univ., Tucson, AZ, USA
  • fYear
    1996
  • fDate
    23-27 Sep 1996
  • Firstpage
    175
  • Lastpage
    178
  • Abstract
    A new algorithm for multichip module placement, MPH, using a combined quad-partitioning, genetic search and simulated annealing approach is presented here. In addition to minimizing wire length and vias, the algorithm places chips so that heat is evenly distributed over the substrate. The proposed algorithm obtains better solutions in less time than the simulated annealing and min-cut algorithms on the MCC industrial multichip module (MCM) benchmarks. In addition to the MCC benchmarks, industrial benchmarks for macrocell placement are used for testing the general placement power of the MPH algorithm. Results of these test cases are also presented
  • Keywords
    circuit optimisation; genetic algorithms; integrated circuit layout; multichip modules; simulated annealing; MCC industrial benchmark; MPH algorithm; chip placement; genetic search; heat distribution; macrocell placement; multichip module; quad-partitioning; simulated annealing; via minimization; Benchmark testing; Computational modeling; Convergence; Genetics; Iterative algorithms; Iterative methods; Multichip modules; Partitioning algorithms; Simulated annealing; Wire;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    ASIC Conference and Exhibit, 1996. Proceedings., Ninth Annual IEEE International
  • Conference_Location
    Rochester, NY
  • ISSN
    1063-0988
  • Print_ISBN
    0-7803-3302-0
  • Type

    conf

  • DOI
    10.1109/ASIC.1996.551988
  • Filename
    551988