The SimpleScalar tool set, version 2.0
ACM SIGARCH Computer Architecture News
The simulation and evaluation of dynamic voltage scaling algorithms
ISLPED '98 Proceedings of the 1998 international symposium on Low power electronics and design
Voltage scheduling problem for dynamically variable voltage processors
ISLPED '98 Proceedings of the 1998 international symposium on Low power electronics and design
Power conscious fixed priority scheduling for hard real-time systems
Proceedings of the 36th annual ACM/IEEE Design Automation Conference
Energy-aware adaptation for mobile applications
Proceedings of the seventeenth ACM symposium on Operating systems principles
Run-time voltage hopping for low-power real-time systems
Proceedings of the 37th Annual Design Automation Conference
Energy priority scheduling for variable voltage processors
ISLPED '01 Proceedings of the 2001 international symposium on Low power electronics and design
Dynamic voltage scheduling technique for low-power multimedia applications using buffers
ISLPED '01 Proceedings of the 2001 international symposium on Low power electronics and design
Variable voltage task scheduling algorithms for minimizing energy
ISLPED '01 Proceedings of the 2001 international symposium on Low power electronics and design
Intra-Task Voltage Scheduling for Low-Energy, Hard Real-Time Applications
IEEE Design & Test
A scheduling model for reduced CPU energy
FOCS '95 Proceedings of the 36th Annual Symposium on Foundations of Computer Science
Policies for dynamic clock scheduling
OSDI'00 Proceedings of the 4th conference on Symposium on Operating System Design & Implementation - Volume 4
Streaming video over the Internet: approaches and directions
IEEE Transactions on Circuits and Systems for Video Technology
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
A Novel Penalty Controllable Dynamic Voltage Scaling Scheme for Mobile Multimedia Applications
IEEE Transactions on Mobile Computing
Resource prediction for media stream decoding
Proceedings of the conference on Design, automation and test in Europe
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
Automated hardware-independent scenario identification
Proceedings of the 45th annual Design Automation Conference
System-scenario-based design of dynamic embedded systems
ACM Transactions on Design Automation of Electronic Systems (TODAES)
Extended MPEG Video Format for Efficient Dynamic Voltage Scaling
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
System-level power management using online learning
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Run-time adaptive workload estimation for dynamic voltage scaling
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Exploiting video stream similarity for energy-efficient decoding
MMM'07 Proceedings of the 13th International conference on Multimedia Modeling - Volume Part II
Embedded Systems Design
Exploiting media stream similarity for energy-efficient decoding and resource prediction
ACM Transactions on Embedded Computing Systems (TECS)
Intelligent on/off dynamic link management for on-chip networks
Journal of Electrical and Computer Engineering - Special issue on Networks-on-Chip: Architectures, Design Methodologies, and Case Studies
| Hi-index | 0.00 |
This paper presents a new concept of DVS (Dynamic Voltage Scaling) for multimedia applications. Many multimedia applications have a periodic property, but each period shows a large variation in terms of its execution time. Exact estimation of such variation is a crucial factor for low energy software execution with DVS technique. Previous DVS techniques focused only on end users (client sites) and their quality heavily depends on the accurateness of the worst case execution time estimation. This paper proposes that contents providers (server sites) supply the information of the execution time variations in addition to the content itself. This makes it possible to perform DVS independent to worst case execution time estimation. The extra work required to the contents provider for this purpose is fully compensated by the benefits for the end users because single content is often provided to many users. Experimental results show that our method greatly reduces the energy consumption of client systems compared to previous DVS techniques.