Title :
Data-Parallel R-Tree Algorithms
Author :
Hoel, Erik G. ; Samet, Banan
Author_Institution :
Bureau of the Census, USA
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;
Conference_Titel :
Parallel Processing, 1993. ICPP 1993. International Conference on
Conference_Location :
Syracuse, NY, USA
Print_ISBN :
0-8493-8983-6
DOI :
10.1109/ICPP.1993.65