|
CMU-CS-03-174
Computer Science Department
School of Computer Science, Carnegie Mellon University
CMU-CS-03-174
The Etree Library:
A System for Manipulating Large Octrees on Disk
Tiankai Tu, David R. O'Hallaron, Julio C. López
July 2003
CMU-CS-03-174.ps
CMU-CS-03-174.pdf
Keywords: Octree, etree, locational code, linear octree,
spatial data structures, out-of-core computing
This report describes a library, called the etree library, that allows
C programmers to manipulate large octrees stored on disk. Octrees are
stored as a sequence of fixed sized octant records sorted by a locational
code order that is equivalent to a preorder traversal of the tree and a
Z-order traversal through the domain. The sorted records are indexed by
a conventional file-resident B-tree index and queried using fixed-length
locational code keys. A schema can be defined to make an etree portable
across different platforms. The etree library provides functions for
creating, modifying, and searching octrees, including efficient mechanisms
for appending octants and iterating over octants in Z-order. The library
is the foundation for a larger research effort aimed at enabling
scientists and engineers to solve large physical simulations on their
desktop systems by recasting the simulation process to work directly on
large etrees stored on disk.
13 pages
|