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» Modeling GA Performance for Control Parameter Optimization
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EUROPAR
2003
Springer
15 years 6 months ago
Dynamic Load Balancing for I/O- and Memory-Intensive Workload in clusters Using a Feedback Control Mechanism
1 One common assumption of the existing models of load balancing is that the weights of resources and I/O buffer size are statically configured. Though the static configuration ...
Xiao Qin, Hong Jiang, Yifeng Zhu, David R. Swanson
JIRS
2008
100views more  JIRS 2008»
15 years 1 months ago
Model-based Predictive Control of Hybrid Systems: A Probabilistic Neural-network Approach to Real-time Control
Abstract This paper proposes an approach for reducing the computational complexity of a model-predictive-control strategy for discrete-time hybrid systems with discrete inputs only...
Bostjan Potocnik, Gasper Music, Igor Skrjanc, Boru...
IPPS
2002
IEEE
15 years 6 months ago
Model-Based Control of Adaptive Applications: An Overview
Model-based control utilizes performance models of applications to choose performant system configurations for execution of applications. The performance models used in this resea...
Vikram S. Adve, Afolami Akinsanmi, James C. Browne...
ICS
2005
Tsinghua U.
15 years 7 months ago
Think globally, search locally
A key step in program optimization is the determination of optimal values for code optimization parameters such as cache tile sizes and loop unrolling factors. One approach, which...
Kamen Yotov, Keshav Pingali, Paul Stodghill
KDD
2010
ACM
287views Data Mining» more  KDD 2010»
15 years 3 months ago
Designing efficient cascaded classifiers: tradeoff between accuracy and cost
We propose a method to train a cascade of classifiers by simultaneously optimizing all its stages. The approach relies on the idea of optimizing soft cascades. In particular, inst...
Vikas C. Raykar, Balaji Krishnapuram, Shipeng Yu