A Neural Network Approach to Cell Placement

Shen Tao; Gan Junren; Yao Linsheng

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A Neural Network Approach to Cell Placement

更新时间：2025-12-08

- A Neural Network Approach to Cell Placement
- Acta Electronica Sinica Issue 10, Pages: 100-105(1992)
- 作者机构：
  
  1. 中国科学院上海冶金研究所
  2. 中国科学院上海冶金研究所上海200050
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：1992
- 稿件说明：
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[1]沈涛,甘骏人,姚林声.一种可用于布局的人工神经网络[J].电子学报,1992(10):100-105.

Shen Tao, Gan Junren, Yao Linsheng. A Neural Network Approach to Cell Placement[J]. Acta Electronica Sinica, 1992, (10): 100-105.
[1]沈涛,甘骏人,姚林声.一种可用于布局的人工神经网络[J].电子学报,1992(10):100-105. DOI：

Shen Tao, Gan Junren, Yao Linsheng. A Neural Network Approach to Cell Placement[J]. Acta Electronica Sinica, 1992, (10): 100-105. DOI：

摘要

本文把Kohonen的自组织特征映射人工神经网络用于解决集成电路设计中两端线网的布局问题——二次分配问题.与最小割算法相比

对于规模较小的电路

神经网络方法能以较快的速度得到最优布局.但当电路规模增大时

得到好的布局需要较长的计算时间.

Abstract

Kohonen’s self-organizing feature maps neural network was applied to solve the quadratic assignment problem

a special case of VLSI placement when all nets have two terminals

Compared with the Min-Cut algorithm

neural placement algorithm can obtain optimal results in less time for small problems. Computing time for good placement was lengthened as problem size grew.

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