VLSI cell placement techniques

Author:

Shahookar K.1,Mazumder P.1

Affiliation:

1. Univ. of Michigan, Ann Arbor

Abstract

VLSI cell placement problem is known to be NP complete. A wide repertoire of heuristic algorithms exists in the literature for efficiently arranging the logic cells on a VLSI chip. The objective of this paper is to present a comprehensive survey of the various cell placement techniques, with emphasis on standard cell and macro placement. Five major algorithms for placement are discussed: simulated annealing, force-directed placement, min-cut placement, placement by numerical optimization, and evolution-based placement. The first two classes of algorithms owe their origin to physical laws, the third and fourth are analytical techniques, and the fifth class of algorithms is derived from biological phenomena. In each category, the basic algorithm is explained with appropriate examples. Also discussed are the different implementations done by researchers.

Publisher

Association for Computing Machinery (ACM)

Subject

General Computer Science,Theoretical Computer Science

Reference117 articles.

1. Statistical cooling: A general approach to combinatorial optimization problems;AARTS E. H.;Philips J. Res.,1985

2. Parallel implementations of the statistical cooling algorithm

3. On the Use of the Linear Assignment Algorithm in Module Placement

Cited by 133 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Automated Usability Improvement of Two-Dimensional Graphical Interfaces through the Simulation of User’s Operations;International Journal of Human–Computer Interaction;2024-05-20

2. Floorplanning with Edge-aware Graph Attention Network and Hindsight Experience Replay;ACM Transactions on Design Automation of Electronic Systems;2024-05-03

3. A Deep Reinforcement Learning Floorplanning Algorithm Based on Sequence Pairs;Applied Sciences;2024-03-29

4. VLSI Floorplanning Algorithm Based on Reinforcement Learning with Obstacles;Studies in Computational Intelligence;2024

5. An Ising-based Model for Qubit Mapping;Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis;2023-11-12

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3