Quantum-Dot Cellular Automata (QCA) circuit partitioning: problem modeling and solutions

  • Authors:
  • Dominic A. Antonelli;Danny Z. Chen;Timothy J. Dysart;Xiaobo S. Hu;Andrew B. Kahng;Peter M. Kogge;Richard C. Murphy;Michael T. Niemier

  • Affiliations:
  • University of Notre Dame, Notre Dame, IN;University of Notre Dame, Notre Dame, IN;University of Notre Dame, Notre Dame, IN;University of Notre Dame, Notre Dame, IN;University of California, San Diego, La Jolla, CA;University of Notre Dame, Notre Dame, IN;University of Notre Dame, Notre Dame, IN;University of Notre Dame, Notre Dame, IN

  • Venue:
  • Proceedings of the 41st annual Design Automation Conference
  • Year:
  • 2004

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Abstract

This paper presents the Quantum-Dot Cellular Automata (QCA) physical design problem, in the context of the VLSI physical design problem. The problem is divided into three subproblems: partitioning, placement, and routing of QCA circuits. This paper presents an ILP formulation and heuristic solution to the partitioning problem, and compares the two sets of results. Additionally, we compare a human-generated circuit to the ILP and Heuristic solutions. The results demonstrate that the heuristic is a practical method of reducing partitioning run time while providing a result that is close to the optimal for a given circuit.