Cart (Loading....) | Create Account
Close category search window
 

Fast evaluation of sequence pair in block placement by longest common subsequence computation

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Xiaoping Tang ; Dept. of Comput. Sci., Texas Univ., Austin, TX, USA ; Ruiqi Tian ; Wong, D.F.

Murata et al. (1996) introduced an elegant representation of block placement called sequence pair. All block-placement algorithms that are based on sequence pairs use simulated annealing where the generation and evaluation of a large number of sequence pairs is required. Therefore, a fast algorithm is needed to evaluate each generated sequence pair, i.e., to translate the sequence pair to its corresponding block placement. This paper presents a new approach to evaluate a sequence pair based on computing longest common subsequence in a pair of weighted sequences. We present a very simple and efficient O(n2) algorithm to solve the sequence pair evaluation problem. We also show that using a more sophisticated data structure, the algorithm can be implemented to run in O (n log log n) time. Both implementations of our algorithm are significantly faster than the previous O(n2) graph-based algorithm. For example, we achieve 60 × speedup over the previous algorithm when input size n = 128. As a result, we can examine a million sequence pairs within one minute for typical input size of placement problems. For all MCNC benchmark block-placement problems, we have obtained the best results ever reported in the literature (including those reported by algorithms based on O tree and B* tree) with significantly less runtime. For example, the best known result for ami49 (36.8 mm2) was obtained by a B*-tree-based algorithm using 4752 s and we obtained a better result (36.5 mm2) in 31 s

Published in:

Computer-Aided Design of Integrated Circuits and Systems, IEEE Transactions on  (Volume:20 ,  Issue: 12 )

Date of Publication:

Dec 2001

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.