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» A Method for Dynamic Clustering of Data
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172
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SC
2003
ACM
15 years 10 months ago
Dyn-MPI: Supporting MPI on Non Dedicated Clusters
Distributing data is a fundamental problem in implementing efficient distributed-memory parallel programs. The problem becomes more difficult in environments where the participa...
D. Brent Weatherly, David K. Lowenthal, Mario Naka...
138
Voted
JPDC
2006
100views more  JPDC 2006»
15 years 5 months ago
Dyn-MPI: Supporting MPI on medium-scale, non-dedicated clusters
Distributing data is a fundamental problem in implementing efficient distributed-memory parallel programs. The problem becomes more difficult in environments where the participati...
D. Brent Weatherly, David K. Lowenthal, Mario Naka...
ICCCN
2007
IEEE
15 years 11 months ago
Large-Scale QoS-Aware Service-Oriented Networking with a Clustering-Based Approach
—Motivated by the fact that most of the existing QoS service composition solutions have limited scalability, we develop a hierarchical-based solution framework to achieve scalabi...
Jingwen Jin, Jin Liang, Jingyi Jin, Klara Nahrsted...
COMSWARE
2006
IEEE
15 years 11 months ago
Exploiting multi-channel clustering for power efficiency in sensor networks
Sensor networks typically comprise of a number of inexpensive small devices with processing, communication and sensing abilities that collaborate to perform a common task. Sensor d...
Ashima Gupta, Chao Gui, Prasant Mohapatra
KDD
2004
ACM
190views Data Mining» more  KDD 2004»
16 years 5 months ago
Kernel k-means: spectral clustering and normalized cuts
Kernel k-means and spectral clustering have both been used to identify clusters that are non-linearly separable in input space. Despite significant research, these methods have re...
Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis