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» Dynamic power management using machine learning
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ALGORITHMICA
2011
14 years 7 months ago
Average Rate Speed Scaling
Speed scaling is a power management technique that involves dynamically changing the speed of a processor. This gives rise to dual-objective scheduling problems, where the operati...
Nikhil Bansal, David P. Bunde, Ho-Leung Chan, Kirk...
NECO
2007
150views more  NECO 2007»
15 years 3 months ago
Reinforcement Learning, Spike-Time-Dependent Plasticity, and the BCM Rule
Learning agents, whether natural or artificial, must update their internal parameters in order to improve their behavior over time. In reinforcement learning, this plasticity is ...
Dorit Baras, Ron Meir
HPCA
2012
IEEE
13 years 11 months ago
Booster: Reactive core acceleration for mitigating the effects of process variation and application imbalance in low-voltage chi
Lowering supply voltage is one of the most effective techniques for reducing microprocessor power consumption. Unfortunately, at low voltages, chips are very sensitive to process ...
Timothy N. Miller, Xiang Pan, Renji Thomas, Naser ...
APN
1997
Springer
15 years 8 months ago
Life-Cycle Inheritance: A Petri-Net-Based Approach
Abstract. Inheritance is one of the key issues of object-orientation. The inheritance mechanism allows for the definition of a subclass which inherits the features of a specific ...
Wil M. P. van der Aalst, Twan Basten
EMNLP
2010
15 years 1 months ago
Learning Recurrent Event Queries for Web Search
Recurrent event queries (REQ) constitute a special class of search queries occurring at regular, predictable time intervals. The freshness of documents ranked for such queries is ...
Ruiqiang Zhang, Yuki Konda, Anlei Dong, Pranam Kol...