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ICPP
2007
IEEE
15 years 3 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»
14 years 9 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
15 years 2 months 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
15 years 3 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
15 years 3 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