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» Parallel Processing of Spatial Joins Using R-trees
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VLDB
2007
ACM
145views Database» more  VLDB 2007»
14 years 8 months ago
Executing Stream Joins on the Cell Processor
Low-latency and high-throughput processing are key requirements of data stream management systems (DSMSs). Hence, multi-core processors that provide high aggregate processing capa...
Bugra Gedik, Philip S. Yu, Rajesh Bordawekar
SIGMOD
2009
ACM
161views Database» more  SIGMOD 2009»
14 years 3 months ago
Dependency-aware reordering for parallelizing query optimization in multi-core CPUs
The state of the art commercial query optimizers employ cost-based optimization and exploit dynamic programming (DP) to find the optimal query execution plan (QEP) without evalua...
Wook-Shin Han, Jinsoo Lee
ISCA
2007
IEEE
217views Hardware» more  ISCA 2007»
13 years 8 months ago
Parallel Processing of High-Dimensional Remote Sensing Images Using Cluster Computer Architectures
Hyperspectral sensors represent the most advanced instruments currently available for remote sensing of the Earth. The high spatial and spectral resolution of the images supplied ...
David Valencia, Antonio Plaza, Pablo Martín...
SIGMOD
2008
ACM
140views Database» more  SIGMOD 2008»
14 years 8 months ago
Relational joins on graphics processors
We present a novel design and implementation of relational join algorithms for new-generation graphics processing units (GPUs). The most recent GPU features include support for wr...
Bingsheng He, Ke Yang, Rui Fang, Mian Lu, Naga K. ...
VLDB
1994
ACM
121views Database» more  VLDB 1994»
14 years 15 days 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