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HPDC
2002
IEEE
14 years 10 days ago
Using Kernel Couplings to Predict Parallel Application Performance
Performance models provide significant insight into the performance relationships between an application and the system used for execution. The major obstacle to developing perfor...
Valerie E. Taylor, Xingfu Wu, Jonathan Geisler, Ri...
IPPS
2003
IEEE
14 years 20 days ago
An Executable Analytical Performance Evaluation Approach for Early Performance Prediction
Percolation has recently been proposed as a key component of an advanced program execution model for future generation high-end machines featuring adaptive data/code transformatio...
Adeline Jacquet, Vincent Janot, Clement Leung, Gua...
CASCON
1997
135views Education» more  CASCON 1997»
13 years 8 months ago
Automatic generation of performance models using the distributed management framework (DMF)
The purpose of the Distributed Management Framework (DMF) is to provide a layer of ion at a level convenient for management application developers. Specifically, it liberates the ...
Asham El Rayess, Jerome A. Rolia
DIS
2009
Springer
14 years 2 months ago
MICCLLR: Multiple-Instance Learning Using Class Conditional Log Likelihood Ratio
Multiple-instance learning (MIL) is a generalization of the supervised learning problem where each training observation is a labeled bag of unlabeled instances. Several supervised ...
Yasser El-Manzalawy, Vasant Honavar
BMCBI
2010
147views more  BMCBI 2010»
13 years 7 months ago
Learning biological network using mutual information and conditional independence
Background: Biological networks offer us a new way to investigate the interactions among different components and address the biological system as a whole. In this paper, a revers...
Dong-Chul Kim, Xiaoyu Wang, Chin-Rang Yang, Jean G...