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» Efficient parallel set-similarity joins using MapReduce
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ISPAN
2002
IEEE
14 years 2 months ago
Parallel Selection Query Processing Involving Index in Parallel Database Systems
Index is an important element in databases, and the existence of index is unavoidable. When an index has been built on a particular attribute, database operations (e.g. selection,...
J. Wenny Rahayu, David Taniar
PVLDB
2008
126views more  PVLDB 2008»
13 years 9 months ago
Parallelizing query optimization
Many commercial RDBMSs employ cost-based query optimization exploiting dynamic programming (DP) to efficiently generate the optimal query execution plan. However, optimization tim...
Wook-Shin Han, Wooseong Kwak, Jinsoo Lee, Guy M. L...
VLDB
2007
ACM
145views Database» more  VLDB 2007»
14 years 10 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
PVLDB
2008
182views more  PVLDB 2008»
13 years 9 months ago
SCOPE: easy and efficient parallel processing of massive data sets
Companies providing cloud-scale services have an increasing need to store and analyze massive data sets such as search logs and click streams. For cost and performance reasons, pr...
Ronnie Chaiken, Bob Jenkins, Per-Åke Larson,...
SIGMOD
2008
ACM
140views Database» more  SIGMOD 2008»
14 years 10 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. ...