• DocumentCode
    2847041
  • Title

    Fast graph partitioning algorithms

  • Author

    Khan, M.S. ; Li, K.F.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Victoria Univ., BC, Canada
  • fYear
    1995
  • fDate
    17-19 May 1995
  • Firstpage
    337
  • Lastpage
    342
  • Abstract
    The following k-way graph partitioning (GP) problem is considered: given an undirected weighted graph G(V,E), partition the nodes of G into k parts of almost equal size such that the partition-cost (sum of the weights on edges with nodes in different parts) is minimized. Two simple and fast algorithms are proposed, namely, direct algorithm AUCTION and iterative algorithm GREEDYCYCLE. In algorithm AUCTION, the idea of using auction and biddings is introduced using the master-workers paradigm. Algorithm GREEDYCYCLE is a greedy algorithm where the idea of cyclic node passing among parts during the iterative improvement stage is introduced. Cyclic node passing is a k-way generalization of the 2-way node exchange found in the Kernighan-Lin (1970) approach. Experimental results show that, as compared to the existing algorithms, these algorithms are extremely fast, and they produce solutions of reasonable quality
  • Keywords
    algorithm theory; graph theory; iterative methods; 2-way node exchange; AUCTION; GREEDYCYCLE; cyclic node passing; direct algorithm; experimental results; fast graph partitioning algorithms; greedy algorithm; iterative algorithm; master-workers paradigm; nodes; partition cost; undirected weighted graph; Annealing; Broadcasting; Circuits; Costs; Greedy algorithms; Iterative algorithms; Iterative methods; Partitioning algorithms; Scholarships; Very large scale integration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, Computers, and Signal Processing, 1995. Proceedings., IEEE Pacific Rim Conference on
  • Conference_Location
    Victoria, BC
  • Print_ISBN
    0-7803-2553-2
  • Type

    conf

  • DOI
    10.1109/PACRIM.1995.519538
  • Filename
    519538