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Fiduccia–Mattheyses algorithm: Difference between revisions

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* A special data structure is used to select vertices to be moved across the cut to improve running time.
* A special data structure is used to select vertices to be moved across the cut to improve running time.
* Time complexity O(P), where P is the total # of terminals.
* Time complexity O(P), where P is the total # of terminals.

[[file:FM-Sample.png|right|frame| example of FM ]]


== F-M Heuristic: Notation ==
== F-M Heuristic: Notation ==

Revision as of 10:25, 18 April 2011

A classical approach to solve the Hypergraph bipartitioning problem is an iterative heuristic by Fiduccia and Mattheyses [Fiduccia 1982]. This heuristic is commonly called the FM algorithm.

Introduction

FM algorithm is a linear time heuristic for improving network partitions. New features to K-L heuristic:

  • Aims at reducing net-cut costs; the concept of cutsize is extended to hypergraphs.
  • Only a single vertex is moved across the cut in a single move.
  • Vertices are weighted.
  • Can handle "unbalanced" partitions; a balance factor is introduced.
  • A special data structure is used to select vertices to be moved across the cut to improve running time.
  • Time complexity O(P), where P is the total # of terminals.
example of FM

F-M Heuristic: Notation

Input: A hypergraph with a vertex set and a hyperedge set

  • n(i): # of cells in Net i; e.g., n(1) = 4
  • s(i): size of Cell i
  • p(i): # of pins of Cell i; e.g., p(1) = 4
  • C: total # of cells; e.g., C = 13
  • N: total # of nets; e.g., N= 4
  • P: total # of pins; P= p(1) + … + p(C) = n(1) + … + n(N)
  • Area ratio r, 0< r<1

Output: 2 partitions

  • Cutsetsize is minimized
  • |A|/(|A|+|B|) ≈ r

References

  • Category:Electronic design automation: Laung-Terng Wang, Yao-Wen Chang, Kwang-Ting[TIM] Cheng