C4.5: programs for machine learning
C4.5: programs for machine learning
The nature of statistical learning theory
The nature of statistical learning theory
Machine Learning
Dynamic power management based on continuous-time Markov decision processes
Proceedings of the 36th annual ACM/IEEE Design Automation Conference
Dynamic power management using adaptive learning tree
ICCAD '99 Proceedings of the 1999 IEEE/ACM international conference on Computer-aided design
Design issues for dynamic voltage scaling
ISLPED '00 Proceedings of the 2000 international symposium on Low power electronics and design
Machine Learning
Comparing System-Level Power Management Policies
IEEE Design & Test
An Efficient Cost-Driven Index Selection Tool for Microsoft SQL Server
VLDB '97 Proceedings of the 23rd International Conference on Very Large Data Bases
Power efficiency of voltage scaling in multiple clock, multiple voltage cores
Proceedings of the 2002 IEEE/ACM international conference on Computer-aided design
Optimizing pipelines for power and performance
Proceedings of the 35th annual ACM/IEEE international symposium on Microarchitecture
Proceedings of the 40th annual Design Automation Conference
Dynamic Programming
Simulation-Based Optimization: Parametric Optimization Techniques and Reinforcement Learning
Simulation-Based Optimization: Parametric Optimization Techniques and Reinforcement Learning
Single-ISA Heterogeneous Multi-Core Architectures: The Potential for Processor Power Reduction
Proceedings of the 36th annual IEEE/ACM International Symposium on Microarchitecture
Voltage and Frequency Control With Adaptive Reaction Time in Multiple-Clock-Domain Processors
HPCA '05 Proceedings of the 11th International Symposium on High-Performance Computer Architecture
Proceedings of the 39th Annual IEEE/ACM International Symposium on Microarchitecture
Dynamic power management using machine learning
Proceedings of the 2006 IEEE/ACM international conference on Computer-aided design
ISQED '07 Proceedings of the 8th International Symposium on Quality Electronic Design
Network-Aware Dynamic Voltage and Frequency Scaling
RTAS '07 Proceedings of the 13th IEEE Real Time and Embedded Technology and Applications Symposium
Dynamic voltage frequency scaling for multi-tasking systems using online learning
ISLPED '07 Proceedings of the 2007 international symposium on Low power electronics and design
CacheScouts: Fine-Grain Monitoring of Shared Caches in CMP Platforms
PACT '07 Proceedings of the 16th International Conference on Parallel Architecture and Compilation Techniques
Extending Multicore Architectures to Exploit Hybrid Parallelism in Single-thread Applications
HPCA '07 Proceedings of the 2007 IEEE 13th International Symposium on High Performance Computer Architecture
Continuous Frequency Adjustment Technique Based on Dynamic Workload Prediction
VLSID '08 Proceedings of the 21st International Conference on VLSI Design
Easy and Efficient Disk I/O Workload Characterization in VMware ESX Server
IISWC '07 Proceedings of the 2007 IEEE 10th International Symposium on Workload Characterization
Bayesian Network Technologies: Applications and Graphical Models
Bayesian Network Technologies: Applications and Graphical Models
Semi-Supervised Learning
Profile-based optimization of power performance by using dynamic voltage scaling on a PC cluster
IPDPS'06 Proceedings of the 20th international conference on Parallel and distributed processing
Incorporating confidence in a naive bayesian classifier
UM'05 Proceedings of the 10th international conference on User Modeling
Power-aware performance increase via core/uncore reinforcement control for chip-multiprocessors
Proceedings of the 2012 ACM/IEEE international symposium on Low power electronics and design
Advanced power and thermal management for low-power, high-performance smartphones
Proceedings of the 2012 ACM/IEEE international symposium on Low power electronics and design
DATE '12 Proceedings of the Conference on Design, Automation and Test in Europe
Dynamic power management for multidomain system-on-chip platforms: An optimal control approach
ACM Transactions on Design Automation of Electronic Systems (TODAES) - Special Section on Networks on Chip: Architecture, Tools, and Methodologies
In-network monitoring and control policy for DVFS of CMP networks-on-chip and last level caches
ACM Transactions on Design Automation of Electronic Systems (TODAES) - Special Section on Networks on Chip: Architecture, Tools, and Methodologies
Online learning of timeout policies for dynamic power management
ACM Transactions on Embedded Computing Systems (TECS)
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This paper presents a supervised learning based power management framework for a multi-processor system, where a power manager (PM) learns to predict the system performance state from some readily available input features (such as the occupancy state of a global service queue) and then uses this predicted state to look up the optimal power management action (e.g., voltage-frequency setting) from a precomputed policy table. The motivation for utilizing supervised learning in the form of a Bayesian classifier is to reduce the overhead of the PM which has to repetitively determine and assign voltage-frequency settings for each processor core in the system. Experimental results demonstrate that the proposed supervised learning based power management technique ensures system-wide energy savings under rapidly and widely varying workloads.