CBLO: a clustering based linear ordering for netlist partitioning

نویسندگان

  • Kwang-Su Seong
  • Chong-Min Kyung
چکیده

In this paper, we propose a clustering based linear ordering algorithm which consists of global ordering and local ordering. In the global ordering, the algorithm forms clusters from n given vertices and orders the clusters. In tlhe local ordering, the elements in each cluster are linearly ordered. The linear order, thus produced, is used to obtain optimal k-way partitioning based on scaded cost objective function. Experiment with 11 benchmark circuits for k-way (2 5 k 5 10) partitioning shows that the proposed algorithm yields an average of 10.6% improvement over MELO for the A-way scalled cost partitioning.

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تاریخ انتشار 1997