By Topic

Hinted quad trees for VLSI geometry DRC based on efficient searching for neighbors

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)
Lai, G.G. ; Avant Corp., Sunnyvale, CA, USA ; Fussell, D.S. ; Wong, D.F.

Design-rule checking, whose efficiency depends greatly on the speed in finding an object's neighbors, is an indispensable component of any VLSI design process. Given a design, the objects it contains are usually represented by their smallest enclosing rectangles, and neighbor search is defined as the operation to find, among the collection of rectangles, the ones that are within the specified distance of a rectangle. Commonly, the rectangles are stored in a tree structure, and a region query that searches the tree starting at its root is used to find a rectangle's neighbors. In this paper, we introduce the hinted quad tree, or HQT, that supports neighbor searches directly without always starting a search at the root of the tree. We show that HQT achieves the highest neighbor-search performance among the data structures compared and uses a reasonable amount of storage

Published in:

Computer-Aided Design of Integrated Circuits and Systems, IEEE Transactions on  (Volume:15 ,  Issue: 3 )