DocumentCode
2034754
Title
Data-Parallel R-Tree Algorithms
Author
Hoel, Erik G. ; Samet, Banan
Author_Institution
Bureau of the Census, USA
Volume
3
fYear
1993
fDate
16-20 Aug. 1993
Firstpage
47
Lastpage
50
Abstract
Data-parallel algorithms for R-trees, a common spatial data structure are presented, in the domain of planar line segment data (e.g., Bureau of the Census TIGER/Line files). Parallel algorithms for both building the data-parallel R-tree, as well as determining the closed polygons formed by the line segments, are described and implemented using the SAM (Scan-And-Monotonic-mapping) model of parallel computation on the hypercube architecture of the Connection Machine.
Keywords
Automation; Buildings; Computer science; Concurrent computing; Data structures; Educational institutions; Geography; Hypercubes; Parallel processing; Shape;
fLanguage
English
Publisher
ieee
Conference_Titel
Parallel Processing, 1993. ICPP 1993. International Conference on
Conference_Location
Syracuse, NY, USA
ISSN
0190-3918
Print_ISBN
0-8493-8983-6
Type
conf
DOI
10.1109/ICPP.1993.65
Filename
4134244
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