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» Using Machine Learning to Guide Architecture Simulation
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ICS
2000
Tsinghua U.
13 years 11 months ago
A simulation-based study of scheduling mechanisms for a dynamic cluster environment
Scheduling of processes onto processors of a parallel machine has always been an important and challenging area of research. The issue becomes even more crucial and di cult as we ...
Yanyong Zhang, Anand Sivasubramaniam, José ...
IPPS
2003
IEEE
14 years 1 months 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...
WWW
2009
ACM
14 years 8 months ago
A dynamic bayesian network click model for web search ranking
As with any application of machine learning, web search ranking requires labeled data. The labels usually come in the form of relevance assessments made by editors. Click logs can...
Olivier Chapelle, Ya Zhang
ICDCS
2009
IEEE
14 years 5 months ago
CLIQUE: Role-Free Clustering with Q-Learning for Wireless Sensor Networks
Clustering and aggregation inherently increase wireless sensor network (WSN) lifetime by collecting information within a cluster at a cluster head, reducing the amount of data thr...
Anna Förster, Amy L. Murphy
JSSPP
2007
Springer
14 years 2 months ago
A Self-optimized Job Scheduler for Heterogeneous Server Clusters
Heterogeneous clusters and grid infrastructures are becoming increasingly popular. In these computing infrastructures, machines have different resources, including memory sizes, d...
Elad Yom-Tov, Yariv Aridor