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JSSPP
2005
Springer
15 years 3 months ago
ScoPred-Scalable User-Directed Performance Prediction Using Complexity Modeling and Historical Data
Using historical information to predict future runs of parallel jobs has shown to be valuable in job scheduling. Trends toward more flexible jobscheduling techniques such as adapt...
Benjamin J. Lafreniere, Angela C. Sodan
HPDC
1996
IEEE
15 years 1 months ago
Modeling the Effects of Contention on the Performance of Heterogeneous Applications
Fast networks have made it possible to coordinate distributed heterogeneous CPU, memory, and storage resources to provide a powerful platform for executing high-performance applic...
Silvia M. Figueira, Francine Berman
IPPS
2005
IEEE
15 years 3 months ago
Predictive Performance Modelling of Parallel Component Composition
Large-scale scientific computing applications frequently make use of closely-coupled distributed parallel components. The performance of such scientific applications is therefore ...
Lei Zhao, Stephen A. Jarvis, Daniel P. Spooner, Gr...
CLUSTER
2007
IEEE
14 years 9 months ago
Predictive performance modelling of parallel component compositions
Large-scale scientific computing applications frequently make use of closely-coupled distributed parallel components. The performance of such applications is therefore dependent o...
Lei Zhao, Stephen A. Jarvis
IPPS
2008
IEEE
15 years 3 months ago
Adaptive Locality-Effective Kernel Machine for protein phosphorylation site prediction
In this study, we propose a new machine learning model namely, Adaptive Locality-Effective Kernel Machine (Adaptive-LEKM) for protein phosphorylation site prediction. Adaptive-LEK...
Paul D. Yoo, Yung Shwen Ho, Bing Bing Zhou, Albert...