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ICCAD
2006
IEEE
119views Hardware» more  ICCAD 2006»
14 years 4 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
LCTRTS
2007
Springer
14 years 5 months ago
Integrated CPU and l2 cache voltage scaling using machine learning
Embedded systems serve an emerging and diverse set of applications. As a result, more computational and storage capabilities are added to accommodate ever more demanding applicati...
Nevine AbouGhazaleh, Alexandre Ferreira, Cosmin Ru...
ICCAD
1999
IEEE
95views Hardware» more  ICCAD 1999»
14 years 3 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
CDC
2009
IEEE
172views Control Systems» more  CDC 2009»
14 years 3 months ago
Approximate dynamic programming using fluid and diffusion approximations with applications to power management
—TD learning and its refinements are powerful tools for approximating the solution to dynamic programming problems. However, the techniques provide the approximate solution only...
Wei Chen, Dayu Huang, Ankur A. Kulkarni, Jayakrish...
NIPS
2007
14 years 8 days ago
Managing Power Consumption and Performance of Computing Systems Using Reinforcement Learning
Electrical power management in large-scale IT systems such as commercial datacenters is an application area of rapidly growing interest from both an economic and ecological perspe...
Gerald Tesauro, Rajarshi Das, Hoi Chan, Jeffrey O....