ComPLx: A Competitive Primal-dual Lagrange Optimization for Global Placement

  • Authors:
  • Myung-Chul Kim;Igor L. Markov

  • Affiliations:
  • University of Michigan, EECS Department, Ann Arbor, MI;University of Michigan, EECS Department, Ann Arbor, MI

  • Venue:
  • Proceedings of the 49th Annual Design Automation Conference
  • Year:
  • 2012

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Abstract

We develop a projected-subgradient primal-dual Lagrange optimization for global placement, that can be instantiated with a variety of interconnect models. It decomposes the original non-convex problem into\more convex"sub-problems. It generalizes the recent SimPL, SimPLR and Ripple algo- rithms and extends them. Empirically, ComPLx outper- forms all published placers in runtime and performance on ISPD 2005 and 2006 benchmarks.