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OPODIS
2008
15 years 1 months ago
Power-Aware Real-Time Scheduling upon Dual CPU Type Multiprocessor Platforms
Abstract Nowadays, most of the energy-aware real-time scheduling algorithms belong to the DVFS (Dynamic Voltage and Frequency Scaling) framework. These DVFS algorithms are usually ...
Joël Goossens, Dragomir Milojevic, Vincent N&...
ISCAS
2006
IEEE
70views Hardware» more  ISCAS 2006»
15 years 5 months ago
Power aware learning for class AB analogue VLSI neural network
—Recent research into artificial neural networks (ANN) has highlighted the potential of using compact analogue ANN hardware cores in embedded mobile devices, where power consumpt...
S. S. Modi, P. R. Wilson, A. D. Brown
TON
2008
139views more  TON 2008»
14 years 11 months ago
Stochastic learning solution for distributed discrete power control game in wireless data networks
Distributed power control is an important issue in wireless networks. Recently, noncooperative game theory has been applied to investigate interesting solutions to this problem. Th...
Yiping Xing, Rajarathnam Chandramouli
ICCAD
2006
IEEE
119views Hardware» more  ICCAD 2006»
15 years 5 months ago
Dynamic power management using machine learning
Dynamic power management (DPM) work proposed to date places inactive components into low power states using a single DPM policy. In contrast, we instead dynamically select among a...
Gaurav Dhiman, Tajana Simunic Rosing
ICCAD
1999
IEEE
95views Hardware» more  ICCAD 1999»
15 years 4 months ago
Dynamic power management using adaptive learning tree
Dynamic Power Management (DPM) is a technique to reduce power consumption of electronic systems by selectively shutting down idle components. The quality of the shutdown control a...
Eui-Young Chung, Luca Benini, Giovanni De Micheli