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author:

Liu, Geng-Geng (Liu, Geng-Geng.) [1] (Scholars:刘耿耿) | Li, Ze-Peng (Li, Ze-Peng.) [2] | Guo, Wen-Zhong (Guo, Wen-Zhong.) [3] (Scholars:郭文忠) | Chen, Guo-Long (Chen, Guo-Long.) [4] (Scholars:陈国龙) | Xu, Ning (Xu, Ning.) [5]

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EI PKU CSCD

Abstract:

As the scale of integrated circuits grows, the number of nets greatly increases, which makes the runtime of layer assignment algorithm increase and becomes an important limiting factor of efficient routing algorithm. Besides, in the manufacture, vias always take high cost. Accordingly, this paper presents two strategies to reduce runtime and the number of vias: (1) an efficient region-division based parallel strategy, which realizes load balancing of parallel routing to improve the efficiency of routing algorithm; (2) an equivalent routing solution aware via optimization strategy, which determines the priority of each net in using routing resource to reduce the number of vias of layer assignment. Furthermore, combining the above two strategies, this paper proposes a via-aware parallel layer assignment algorithm for very large scale integration (VLSI) physical design. The experimental results show that the proposed algorithm is able to optimize the number of vias significantly and reduce runtime simultaneously. © 2022 Chinese Institute of Electronics. All rights reserved.

Keyword:

VLSI circuits

Community:

  • [ 1 ] [Liu, Geng-Geng]College of Computer and Data Science, Fuzhou University, Fujian, Fuzhou; 350116, China
  • [ 2 ] [Li, Ze-Peng]College of Computer and Data Science, Fuzhou University, Fujian, Fuzhou; 350116, China
  • [ 3 ] [Guo, Wen-Zhong]College of Computer and Data Science, Fuzhou University, Fujian, Fuzhou; 350116, China
  • [ 4 ] [Chen, Guo-Long]College of Computer and Data Science, Fuzhou University, Fujian, Fuzhou; 350116, China
  • [ 5 ] [Xu, Ning]School of Information Engineering, Wuhan University of Technology, Hubei, Wuhan; 430070, China

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Source :

Acta Electronica Sinica

ISSN: 0372-2112

CN: 11-2087/TN

Year: 2022

Issue: 11

Volume: 50

Page: 2575-2583

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 3

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

Online/Total:11/10106810
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