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» Relational joins on graphics processors
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COMAD
1994
13 years 6 months ago
An Adaptive, Load Balancing Parallel Join Algorithm
Many parallel join algorithms have been proposed in the last several years. However, most of these algorithms require that the amount of data to be joined is known in advance in o...
Minesh B. Amin, Donovan A. Schneider, V. Singh
GVD
2003
151views Database» more  GVD 2003»
13 years 6 months ago
Bridging the GAP Between Relational and Native XML Storage with Staircase Join
Several mapping schemes have recently been proposed to store XML data in relational tables. Relational database systems are readily available and can handle vast amounts of data v...
Jens Teubner, Torsten Grust, Maurice van Keulen
SSD
1999
Springer
97views Database» more  SSD 1999»
13 years 9 months ago
A Performance Evaluation of Spatial Join Processing Strategies
We provide an evaluation of query execution plans (QEP) in the case of queries with one or two spatial joins. The QEPs assume R -tree indexed relations and use a common set of spat...
Apostolos Papadopoulos, Philippe Rigaux, Michel Sc...
CORR
2008
Springer
120views Education» more  CORR 2008»
13 years 4 months ago
XQuery Join Graph Isolation
A purely relational account of the true XQuery semantics can turn any relational database system into an XQuery processor. Compiling nested expressions of the fully compositional X...
Torsten Grust, Manuel Mayr, Jan Rittinger
INTENSIVE
2009
IEEE
13 years 11 months ago
Accelerating K-Means on the Graphics Processor via CUDA
In this paper an optimized k-means implementation on the graphics processing unit (GPU) is presented. NVIDIA’s Compute Unified Device Architecture (CUDA), available from the G8...
Mario Zechner, Michael Granitzer