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HV/VH Trees: A New Spatial Data Structure for Fast Region Queries

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3 Author(s)
Lai, G.G. ; Department of Computer Sciences, University of Texas at Austin, Austin, TX ; Fussell, D. ; Wong, D.F.

Rosenberg compared linked lists, quad trees with bisector lists, and kD trees, and showed that kD trees significantly outperformed their two rivals on region queries. Quad trees with bisector lists performed poorly because of their need to search bisector lists at successive levels; therefore, later improvements to quad trees took the form of eliminating the bisector lists in one way or the other to achieve better region-query performance. In this paper, we explode the myth that bisector lists imply slow region queries by introducing a new data structure, HV/VH trees, which, even though it uses bisector lists, is as fast as or faster than kD trees and two improved forms of quad trees on region queries performed on data from real VLSI designs. Furthermore, we show that HV/VH trees achieve this superb perfomance while using the least amount of memory.

Published in:

Design Automation, 1993. 30th Conference on

Date of Conference:

14-18 June 1993