金刚狼:工作站网络上的标准单元布局

S. Mohan, P. Mazumder
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引用次数: 18

摘要

今天,典型的计算机辅助设计环境由许多通过高速局域网连接的工作站组成。作者提出了一种利用这种分布式计算环境的放置程序,在不牺牲串行版本程序所获得的结果质量的情况下实现线性加速。遗传算法是一种受生物进化模型启发的启发式搜索方法。作者描述了安置程序的实现和算法行为的详细实验研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Wolverines: standard cell placement on a network of workstations
The typical computer-aided design environment today consists of a number of workstations connected by a high-speed local area network. The authors present a placement program that makes use of this distributed computing environment to achieve linear speedup without sacrificing the quality of the results obtained by the serial version of this program. The placement program is based on the genetic algorithm which is a heuristic search method inspired by biological evolution models. The authors describe the implementation of the placement program and detailed experimental studies of the behavior of the algorithm.<>
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