Quantum-dot cellular automata (QCA) circuit partitioning: problem modeling and solutions

Dominic A. Antonelli, D. Chen, T. J. Dysart, X. Hu, A. Kahng, P. Kogge, R. Murphy, M. Niemier
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引用次数: 68

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.
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量子点元胞自动机(QCA)电路划分:问题建模与解决方案
本文在超大规模集成电路物理设计问题的背景下,提出了量子点元胞自动机(QCA)物理设计问题。该问题分为三个子问题:QCA电路的划分、放置和路由。本文提出了一种ILP公式,并对划分问题进行了启发式求解,并对两组结果进行了比较。此外,我们将人工生成的电路与ILP和启发式解决方案进行了比较。结果表明,启发式方法是一种实用的方法,可以减少分区运行时间,同时提供接近给定电路的最优结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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