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ICPP
2007
IEEE
14 years 1 months ago
COBRA: An Adaptive Runtime Binary Optimization Framework for Multithreaded Applications
This paper presents COBRA (Continuous Binary ReAdaptation), a runtime binary optimization framework, for multithreaded applications. It is currently implemented on Itanium 2 based...
Jinpyo Kim, Wei-Chung Hsu, Pen-Chung Yew
JDWM
2006
178views more  JDWM 2006»
13 years 7 months ago
Improved Data Partitioning for Building Large ROLAP Data Cubes in Parallel
The pre-computation of data cubes is critical to improving the response time of On-Line Analytical Processing (OLAP) systems and can be instrumental in accelerating data mining ta...
Ying Chen, Frank K. H. A. Dehne, Todd Eavis, Andre...
PPOPP
2003
ACM
14 years 23 days ago
Optimizing data aggregation for cluster-based internet services
Large-scale cluster-based Internet services often host partitioned datasets to provide incremental scalability. The aggregation of results produced from multiple partitions is a f...
Lingkun Chu, Hong Tang, Tao Yang, Kai Shen
OTM
2007
Springer
14 years 1 months ago
Parallelizing Tableaux-Based Description Logic Reasoning
Practical scalability of Description Logic (DL) reasoning is an important premise for the adoption of OWL in a real-world setting. Many highly efficient optimizations for the DL ta...
Thorsten Liebig, Felix Müller
IJCNN
2007
IEEE
14 years 1 months ago
Parallel Learning of Large Fuzzy Cognitive Maps
— Fuzzy Cognitive Maps (FCMs) are a class of discrete-time Artificial Neural Networks that are used to model dynamic systems. A recently introduced supervised learning method, wh...
Wojciech Stach, Lukasz A. Kurgan, Witold Pedrycz