• DocumentCode
    1370392
  • Title

    Network-flow-based multiway partitioning with area and pin constraints

  • Author

    Liu, Huiqun ; Wong, D.F.

  • Author_Institution
    Dept. of Comput. Sci., Texas Univ., Austin, TX, USA
  • Volume
    17
  • Issue
    1
  • fYear
    1998
  • fDate
    1/1/1998 12:00:00 AM
  • Firstpage
    50
  • Lastpage
    59
  • Abstract
    Network flow is an excellent approach to finding min-cuts because of the celebrated max-flow min-cut theorem. For a long time, however, it was perceived as computationally expensive and deemed impractical for circuit partitioning. Recently, the algorithm FBB successfully applied network flow to two-way balanced partitioning. It for the first time demonstrated that network flow was a viable approach to circuit partitioning. In this paper, we present FBB-MW, which is an extension of FBB, to solve the problem of multiway partitioning with area and pin constraints. Experimental results show that FBB-MW outperforms previous approaches for multiple field programmable gate array partitioning. In particular, although FBB-MW does not employ logic replication and logic resynthesis, it still outperforms some other algorithms, which allow replication and resynthesis for optimization
  • Keywords
    circuit layout CAD; circuit optimisation; field programmable gate arrays; integrated circuit layout; logic CAD; logic partitioning; FBB-MW algorithm; area constraints; circuit partitioning; field programmable gate array partitioning; min-cuts; multiple FPGA partitioning; network-flow-based multiway partitioning; pin constraints; two-way balanced partitioning; Clustering algorithms; Constraint theory; Design automation; Field programmable gate arrays; Integrated circuit interconnections; Integrated circuit synthesis; Logic devices; Partitioning algorithms; Pins; Programmable logic arrays;
  • fLanguage
    English
  • Journal_Title
    Computer-Aided Design of Integrated Circuits and Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0278-0070
  • Type

    jour

  • DOI
    10.1109/43.673632
  • Filename
    673632