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» Power and performance optimization at the system level
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VLDB
1999
ACM
145views Database» more  VLDB 1999»
15 years 2 months ago
DBMSs on a Modern Processor: Where Does Time Go?
Recent high-performance processors employ sophisticated techniques to overlap and simultaneously execute multiple computation and memory operations. Intuitively, these techniques ...
Anastassia Ailamaki, David J. DeWitt, Mark D. Hill...
ESWS
2009
Springer
15 years 4 months ago
Improving Ontology Matching Using Meta-level Learning
Despite serious research efforts, automatic ontology matching still suffers from severe problems with respect to the quality of matching results. Existing matching systems trade-of...
Kai Eckert, Christian Meilicke, Heiner Stuckenschm...
GECCO
2008
Springer
186views Optimization» more  GECCO 2008»
14 years 10 months ago
A pareto following variation operator for fast-converging multiobjective evolutionary algorithms
One of the major difficulties when applying Multiobjective Evolutionary Algorithms (MOEA) to real world problems is the large number of objective function evaluations. Approximate...
A. K. M. Khaled Ahsan Talukder, Michael Kirley, Ra...
IC
2003
14 years 11 months ago
Remote Real Laboratory: Linux Installation and Configuration
: Remote real laboratories deal with performing real lab experiments remotely via Internet. Recent advances in Internet/web technologies and computer-controlled instrumentation all...
Alassane Diop, Amine Berqia, Jürgen Harms
ICDE
2009
IEEE
119views Database» more  ICDE 2009»
15 years 4 months ago
Deductive Framework for Programming Sensor Networks
—Developing powerful paradigms for programming sensor networks is critical to realize the full potential of sensor networks as collaborative data processing engines. In this arti...
Himanshu Gupta, Xianjin Zhu, Xiang Xu