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» Dynamic power management using machine learning
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KDD
2006
ACM
180views Data Mining» more  KDD 2006»
16 years 7 days ago
Learning the unified kernel machines for classification
Kernel machines have been shown as the state-of-the-art learning techniques for classification. In this paper, we propose a novel general framework of learning the Unified Kernel ...
Steven C. H. Hoi, Michael R. Lyu, Edward Y. Chang
PACS
2000
Springer
99views Hardware» more  PACS 2000»
15 years 3 months ago
Dynamically Reconfiguring Processor Resources to Reduce Power Consumption in High-Performance Processors
Power dissipation is a major concern not only for portable systems, but also for high-performance systems. In the past, energy consumption and processor heating was reduced mainly...
Roberto Maro, Yu Bai, R. Iris Bahar
RTSS
2006
IEEE
15 years 5 months ago
System-Level Energy Management for Periodic Real-Time Tasks
In this paper, we consider the system-wide energy management problem for a set of periodic real-time tasks running on a DVS-enabled processor. Our solution uses a generalized powe...
Hakan Aydin, Vinay Devadas, Dakai Zhu
NOMS
2006
IEEE
15 years 5 months ago
Predicting Machine Availabilities in Desktop Pools
—This paper describes a study of predicting machine availabilities and user presence in a pool of desktop computers. The study is based on historical traces collected from 32 mac...
Artur Andrzejak, Patrício Domingues, Lu&iac...
ECML
2004
Springer
15 years 5 months ago
Analyzing Multi-agent Reinforcement Learning Using Evolutionary Dynamics
In this paper, we show how the dynamics of Q-learning can be visualized and analyzed from a perspective of Evolutionary Dynamics (ED). More specifically, we show how ED can be use...
Pieter Jan't Hoen, Karl Tuyls