Proceedings of the 2017 International Seminar on Artificial Intelligence, Networking and Information Technology (ANIT 2017)

A fast construction method for VLSI power and ground pin assignment

Authors
Shundao Xie, Yaogan Liang, Rongjun Chen, Mushui Zhang, Hongzhou Tan
Corresponding Author
Shundao Xie
Available Online December 2017.
DOI
https://doi.org/10.2991/anit-17.2018.4How to use a DOI?
Keywords
signal integrity, pin assignment, prior knowledge, construction method
Abstract
In this paper, a fast pin assignment optimization method is proposed for improving signal integrity performance of VLSI package. This performance is evaluated by two cost function. Some other methods based on heuristic algorithm can find a good solution for pin assignment problem. Since the solution space is of high dimension, those algorithms require a large time consumption. The proposed pin assignment construction method is guided by the prior knowledge about the optimal solution of pin assignment. It generates a solution by directed construction. Experimental results show that the quality of solution produced by proposed method is better than that by heuristic algorithm and the time consumption is practically negligible.
Open Access
This is an open access article distributed under the CC BY-NC license.

Download article (PDF)

Proceedings
2017 International Seminar on Artificial Intelligence, Networking and Information Technology (ANIT 2017)
Part of series
Advances in Intelligent Systems Research
Publication Date
December 2017
ISBN
978-94-6252-447-7
ISSN
1951-6851
DOI
https://doi.org/10.2991/anit-17.2018.4How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Shundao Xie
AU  - Yaogan Liang
AU  - Rongjun Chen
AU  - Mushui Zhang
AU  - Hongzhou Tan
PY  - 2017/12
DA  - 2017/12
TI  - A fast construction method for VLSI power and ground pin assignment
BT  - 2017 International Seminar on Artificial Intelligence, Networking and Information Technology (ANIT 2017)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/anit-17.2018.4
DO  - https://doi.org/10.2991/anit-17.2018.4
ID  - Xie2017/12
ER  -