Dynamic power management using adaptive learning tree
ICCAD '99 Proceedings of the 1999 IEEE/ACM international conference on Computer-aided design
A survey of design techniques for system-level dynamic power management
IEEE Transactions on Very Large Scale Integration (VLSI) Systems - Special section on low-power electronics and design
Energy efficient fixed-priority scheduling for real-time systems on variable voltage processors
Proceedings of the 38th annual Design Automation Conference
Dynamic power management in a mobile multimedia system with guaranteed quality-of-service
Proceedings of the 38th annual Design Automation Conference
Proceedings of the 2000 IEEE/ACM international conference on Computer-aided design
Proceedings of the 40th annual Design Automation Conference
Adaptive Hard Disk Power Management on Personal Computers
GLS '99 Proceedings of the Ninth Great Lakes Symposium on VLSI
Dynamic Voltage Scaling with Links for Power Optimization of Interconnection Networks
HPCA '03 Proceedings of the 9th International Symposium on High-Performance Computer Architecture
Mode Selection and Mode-Dependency Modeling for Power-Aware Embedded Systems
ASP-DAC '02 Proceedings of the 2002 Asia and South Pacific Design Automation Conference
Exploring the limits of leakage power reduction in caches
ACM Transactions on Architecture and Code Optimization (TACO)
Power-aware scheduling and dynamic voltage setting for tasks running on a hard real-time system
ASP-DAC '06 Proceedings of the 2006 Asia and South Pacific Design Automation Conference
Leakage power reduction of embedded memories on FPGAs through location assignment
Proceedings of the 43rd annual Design Automation Conference
Improving energy efficiency for mobile platforms by exploiting low-power sleep states
Proceedings of the 9th conference on Computing Frontiers
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New embedded systems offer rich power management features in the form of multiple operational and nonoperational power modes. While they offer mechanisms for better energy efficiency, they also complicate power management decisions in the presence of realtime constraints. A traditional dynamic power management techniques based on localized break-even-time analysis with simple on/off power controls often yield suboptimal if not incorrect results globally. To address these problems, This work presents two core algorithms for reducing idle energy consumption at the component level and system level. The first algorithm discovers the optimal sequence for mode transition over multiple power modes under timing constraints. It assists the second algorithm that performs a sophisticated global search strategy to aggressively explore system-wide energy savings by correctly interpreting the constraints across all subsystems. Experimental results show that in an embedded radio system where idle energy cost matches or exceeds the active energy consumption, our technique can further reduce the idle energy by 50-70%, which translates into 30-50% of overall system energy compared to existing techniques.