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DATE
2010
IEEE
163views Hardware» more  DATE 2010»
13 years 11 months ago
Enhanced Q-learning algorithm for dynamic power management with performance constraint
- This paper presents a novel power management techniques based on enhanced Q-learning algorithms. By exploiting the submodularity and monotonic structure in the cost function of a...
Wei Liu, Ying Tan, Qinru Qiu
DAC
2000
ACM
14 years 8 months ago
Dynamic power management of complex systems using generalized stochastic Petri nets
In this paper, we introduce a new technique for modeling and solving the dynamic power management (DPM) problem for systems with complex behavioral characteristics such as concurr...
Qinru Qiu, Qing Wu, Massoud Pedram
RTAS
2003
IEEE
14 years 19 days ago
Collaborative Operating System and Compiler Power Management for Real-Time Applications
Managing energy consumption has become vitally important to battery operated portable and embedded systems. A dynamic voltage scaling (DVS) technique reduces the processor’s dyn...
Nevine AbouGhazaleh, Daniel Mossé, Bruce R....
ICCAD
2003
IEEE
111views Hardware» more  ICCAD 2003»
14 years 4 months ago
Formal Methods for Dynamic Power Management
Dynamic Power Management or DPM refers to the problem of judicious application of various low power techniques based on runtime conditions in an embedded system to minimize the to...
Rajesh K. Gupta, Sandy Irani, Sandeep K. Shukla
LCTRTS
2007
Springer
14 years 1 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...