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A Parallel Approach to Row-Based VLSI Layout Using Stochastic Hill-Climbing

  • Matthew Newton
  • Ondrej Sýkora
  • Mark Withall
  • Imrich Vrt’o
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2718)

Abstract

Parallel algorithms based on stochastic hill-climbing and parallel algorithms based on simple elements of a genetic algorithm for the one-sided bipartite crossing number problem, used in row-based VLSI layout, were investigated. These algorithms were run on a PVM cluster. The experiments show that the parallel approach does not bring faster computation but it does, however, much more importantly, bring a better quality solution to the problem, i.e. it generates drawings with lower numbers of pairwise edge crossings.

Keywords

Genetic Algorithms Distributed Problem Solving Heuristic Search 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Matthew Newton
    • 1
  • Ondrej Sýkora
    • 1
  • Mark Withall
    • 1
  • Imrich Vrt’o
    • 2
  1. 1.Department of Computer ScienceLoughborough UniversityLoughborough, LeicsUK
  2. 2.Department of Informatics, Institute of MathematicsSlovak Academy of SciencesBratislavaSlovak Republic

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