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» Dynamic power management using machine learning
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ECTEL
2010
Springer
15 years 4 months ago
Knowledge Maturing Activities and Practices Fostering Organisational Learning: Results of an Empirical Study
Abstract. Knowledge work is performed in all occupations and across all industries. The level of similarity of knowledge work allows for designing supporting tools that can be wide...
Andreas Kaschig, Ronald Maier, Alexander Sandow, M...
149
Voted
CGO
2006
IEEE
15 years 9 months ago
A Self-Repairing Prefetcher in an Event-Driven Dynamic Optimization Framework
Software prefetching has been demonstrated as a powerful technique to tolerate long load latencies. However, to be effective, prefetching must target the most critical (frequently...
Weifeng Zhang, Brad Calder, Dean M. Tullsen
114
Voted
ECML
2006
Springer
15 years 7 months ago
PAC-Learning of Markov Models with Hidden State
The standard approach for learning Markov Models with Hidden State uses the Expectation-Maximization framework. While this approach had a significant impact on several practical ap...
Ricard Gavaldà, Philipp W. Keller, Joelle P...
100
Voted
CDC
2008
IEEE
119views Control Systems» more  CDC 2008»
15 years 10 months ago
Dissipativity properties of detailed models of synchronous generators
— This paper studies the dissipativity properties of full order dynamic models of synchronous generators. It is shown that, under widely accepted assumptions, these models satisf...
Alvaro Giusto, Alex M. Stankovic, Romeo Ortega
147
Voted
FPL
2006
Springer
140views Hardware» more  FPL 2006»
15 years 7 months ago
A Thermal Management and Profiling Method for Reconfigurable Hardware Applications
Given large circuit sizes, high clock frequencies, and possibly extreme operating environments, Field Programmable Gate Arrays (FPGAs) are capable of heating beyond their designed...
Phillip H. Jones, John W. Lockwood, Young H. Cho