Embedded program timing analysis based on path clustering and architecture classification
ICCAD '97 Proceedings of the 1997 IEEE/ACM international conference on Computer-aided design
Voltage scheduling problem for dynamically variable voltage processors
ISLPED '98 Proceedings of the 1998 international symposium on Low power electronics and design
On-line scheduling of hard real-time tasks on variable voltage processor
Proceedings of the 1998 IEEE/ACM international conference on Computer-aided design
Hard real-time scheduling for low-energy using stochastic data and DVS processors
ISLPED '01 Proceedings of the 2001 international symposium on Low power electronics and design
Proceedings of the 14th international symposium on Systems synthesis
Task scheduling and voltage selection for energy minimization
Proceedings of the 39th annual Design Automation Conference
Low Power Digital CMOS Design
Intra-Task Voltage Scheduling for Low-Energy, Hard Real-Time Applications
IEEE Design & Test
Proceedings of the 2002 IEEE/ACM international conference on Computer-aided design
A scheduling model for reduced CPU energy
FOCS '95 Proceedings of the 36th Annual Symposium on Foundations of Computer Science
Dynamic VTH Scaling Scheme for Active Leakage Power Reduction
Proceedings of the conference on Design, automation and test in Europe
Dynamic and Aggressive Scheduling Techniques for Power-Aware Real-Time Systems
RTSS '01 Proceedings of the 22nd IEEE Real-Time Systems Symposium
RTSS '01 Proceedings of the 22nd IEEE Real-Time Systems Symposium
Pareto-optimization-based run-time task scheduling for embedded systems
Proceedings of the 1st IEEE/ACM/IFIP international conference on Hardware/software codesign and system synthesis
Cycle-accurate power analysis for multiprocessor systems-on-a-chip
Proceedings of the 14th ACM Great Lakes symposium on VLSI
Profile-based optimal intra-task voltage scheduling for hard real-time applications
Proceedings of the 41st annual Design Automation Conference
PACE: A New Approach to Dynamic Voltage Scaling
IEEE Transactions on Computers
Feedback EDF Scheduling Exploiting Dynamic Voltage Scaling
RTAS '04 Proceedings of the 10th IEEE Real-Time and Embedded Technology and Applications Symposium
Proceedings of the 2003 IEEE/ACM international conference on Computer-aided design
Improving the Efficiency of Memory Partitioning by Address Clustering
DATE '03 Proceedings of the conference on Design, Automation and Test in Europe - Volume 1
Flexible and Formal Modeling of Microprocessors with Application to Retargetable Simulation
DATE '03 Proceedings of the conference on Design, Automation and Test in Europe - Volume 1
MicroLib: A Case for the Quantitative Comparison of Micro-Architecture Mechanisms
Proceedings of the 37th annual IEEE/ACM International Symposium on Microarchitecture
Quasi-Static Voltage Scaling for Energy Minimization with Time Constraints
Proceedings of the conference on Design, Automation and Test in Europe - Volume 1
Optimal procrastinating voltage scheduling for hard real-time systems
Proceedings of the 42nd annual Design Automation Conference
ICCAD '05 Proceedings of the 2005 IEEE/ACM International conference on Computer-aided design
Procrastinating voltage scheduling with discrete frequency sets
Proceedings of the conference on Design, automation and test in Europe: Proceedings
Energy optimization of multiprocessor systems on chip by voltage selection
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Optimal intratask dynamic voltage-scaling technique and its practical extensions
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Proceedings of the 17th IEEE/ACM international symposium on Low-power electronics and design
On the fundamentals of leakage aware real-time DVS scheduling for peak temperature minimization
Journal of Systems Architecture: the EUROMICRO Journal
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Supply voltage scaling and adaptive body biasing (ABB) are important techniques that help to reduce the energy dissipation of embedded systems. This is achieved by dynamically adjusting the voltage and performance settings according to the application needs. In order to take full advantage of slack that arises from variations in the execution time, it is important to recalculate the voltage (performance) settings during runtime, i.e., online. However, optimal voltage scaling algorithms are computationally expensive, and thus, if used online, significantly hamper the possible energy savings. To overcome the online complexity, we propose a quasi-static voltage scaling (QSVS) scheme, with a constant online time complexity O(1). This allows to increase the exploitable slack as well as to avoid the energy dissipated due to online recalculation of the voltage settings.