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» Parallelizing query optimization
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DEBS
2011
ACM
14 years 10 months ago
Declarative data-driven coordination
Many data-driven social and Web applications involve collaboration and coordination. The vision of declarative data-driven coordination (D3C), proposed in [9], is to support coord...
Johannes Gehrke
VECPAR
2004
Springer
15 years 12 months ago
Message Strip-Mining Heuristics for High Speed Networks
In this work we investigate how the compiler technique of message strip mining performs in practice on contemporary high performance networks. Message strip mining attempts to redu...
Costin Iancu, Parry Husbands, Wei Chen
HPCC
2011
Springer
14 years 6 months ago
Heuristic-Based Techniques for Mapping Irregular Communication Graphs to Mesh Topologies
— Mapping of parallel applications on the network topology is becoming increasingly important on large supercomputers. Topology aware mapping can reduce the hops traveled by mess...
Abhinav Bhatele, Laxmikant V. Kalé
ICDE
2005
IEEE
107views Database» more  ICDE 2005»
16 years 8 months ago
Venn Sampling: A Novel Prediction Technique for Moving Objects
Given a region qR and a future timestamp qT, a "range aggregate" query estimates the number of objects expected to appear in qR at time qT. Currently the only methods fo...
Yufei Tao, Dimitris Papadias, Jian Zhai, Qing Li
ICDE
2000
IEEE
183views Database» more  ICDE 2000»
16 years 7 months ago
Accurate Estimation of the Cost of Spatial Selections
Optimizing queries that involve operations on spatial data requires estimating the selectivity and cost of these operations. In this paper, we focus on estimating the cost of spat...
Ashraf Aboulnaga, Jeffrey F. Naughton