Acting optimally in partially observable stochastic domains
AAAI'94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 2)
Design issues for dynamic voltage scaling
ISLPED '00 Proceedings of the 2000 international symposium on Low power electronics and design
Electrothermal analysis of VLSI systems
Electrothermal analysis of VLSI systems
Markov Decision Processes: Discrete Stochastic Dynamic Programming
Markov Decision Processes: Discrete Stochastic Dynamic Programming
Dynamic Power Management: Design Techniques and CAD Tools
Dynamic Power Management: Design Techniques and CAD Tools
Parameter variations and impact on circuits and microarchitecture
Proceedings of the 40th annual Design Automation Conference
Temperature-aware microarchitecture
Proceedings of the 30th annual international symposium on Computer architecture
Full chip leakage estimation considering power supply and temperature variations
Proceedings of the 2003 international symposium on Low power electronics and design
Proceedings of the 2003 international symposium on Low power electronics and design
Simulation-Based Optimization: Parametric Optimization Techniques and Reinforcement Learning
Simulation-Based Optimization: Parametric Optimization Techniques and Reinforcement Learning
Proceedings of the 41st annual Design Automation Conference
Leakage power reduction by dual-vth designs under probabilistic analysis of vth variation
Proceedings of the 2004 international symposium on Low power electronics and design
Dynamic voltage scaling for systemwide energy minimization in real-time embedded systems
Proceedings of the 2004 international symposium on Low power electronics and design
Influence of Leakage Reduction Techniques on Delay/Leakage Uncertainty
VLSID '05 Proceedings of the 18th International Conference on VLSI Design held jointly with 4th International Conference on Embedded Systems Design
Hierarchical Adaptive Dynamic Power Management
IEEE Transactions on Computers
Variability and energy awareness: a microarchitecture-level perspective
Proceedings of the 42nd annual Design Automation Conference
Variations-aware low-power design with voltage scaling
Proceedings of the 42nd annual Design Automation Conference
Hierarchical power management with application to scheduling
ISLPED '05 Proceedings of the 2005 international symposium on Low power electronics and design
ICCAD '05 Proceedings of the 2005 IEEE/ACM International conference on Computer-aided design
Proceedings of the 2006 IEEE/ACM international conference on Computer-aided design
Dynamic power management under uncertain information
Proceedings of the conference on Design, automation and test in Europe
Point-based value iteration: an anytime algorithm for POMDPs
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Policy optimization for dynamic power management
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Stochastic modeling of a power-managed system-construction and optimization
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Parameterized Non-Gaussian Variational Gate Timing Analysis
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
SPECO: Stochastic Perturbation based Clock tree Optimization considering temperature uncertainty
Integration, the VLSI Journal
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This paper tackles the problem of dynamic power management (DPM) in nanoscale CMOS design technologies that are typically affected by increasing levels of process and temperature variations and fluctuations due to the randomness in the behavior of silicon structure. This uncertainty undermines the accuracy and effectiveness of traditional DPM approaches. This paper presents a stochastic framework to improve the accuracy of decision making during dynamic power management, while considering manufacturing process and/or environment induced uncertainties. More precisely, variability and uncertainty at the system level are captured by a partially observable semi-Markov decision process with interval-based definition of states while the policy optimization problem is formulated as a mathematical program based on this model. Experimental results with a RISC processor in 65-nm technology demonstrate the effectiveness of the technique and show that the proposed uncertainty-aware power management technique ensures system-wide energy savings under statistical circuit parameter variations.