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» Hardware Acceleration for Spatial Selections and Joins
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SIGMOD
2003
ACM
190views Database» more  SIGMOD 2003»
14 years 4 months ago
Hardware Acceleration for Spatial Selections and Joins
Spatial database operations are typically performed in two steps. In the filtering step, indexes and the minimum bounding rectangles (MBRs) of the objects are used to quickly dete...
Chengyu Sun, Divyakant Agrawal, Amr El Abbadi
TKDE
1998
122views more  TKDE 1998»
13 years 4 months ago
The Design and Implementation of Seeded Trees: An Efficient Method for Spatial Joins
—Existing methods for spatial joins require pre-existing spatial indices or other precomputation, but such approaches are inefficient and limited in generality. Operand data sets...
Ming-Ling Lo, Chinya V. Ravishankar
DASFAA
2004
IEEE
169views Database» more  DASFAA 2004»
13 years 8 months ago
Statistic Driven Acceleration of Object-Relational Space-Partitioning Index Structures
Relational index structures, as for instance the Relational Interval Tree or the Linear Quadtree, support efficient processing of queries on top of existing object-relational datab...
Hans-Peter Kriegel, Peter Kunath, Martin Pfeifle, ...
VISUALIZATION
2005
IEEE
13 years 10 months ago
Exploiting Frame-to-Frame Coherence for Accelerating High-Quality Volume Raycasting on Graphics Hardware
GPU-based raycasting offers an interesting alternative to conventional slice-based volume rendering due to the inherent flexibility and the high quality of the generated images. ...
Thomas Klein, Magnus Strengert, Simon Stegmaier, T...
VLDB
1994
ACM
121views Database» more  VLDB 1994»
13 years 8 months ago
The Impact of Global Clustering on Spatial Database Systems
Global clustering has rarely been investigated in the area of spatial database systems although dramatic performance improvements can be achieved by using suitable techniques. In ...
Thomas Brinkhoff, Hans-Peter Kriegel