Multiprocessor Online Scheduling of Hard-Real-Time Tasks
IEEE Transactions on Software Engineering
Improvement in feasibility testing for real-time tasks
Real-Time Systems
ASP-DAC '00 Proceedings of the 2000 Asia and South Pacific Design Automation Conference
LEneS: task scheduling for low-energy systems using variable supply voltage processors
Proceedings of the 2001 Asia and South Pacific Design Automation Conference
Route packets, not wires: on-chip inteconnection networks
Proceedings of the 38th annual Design Automation Conference
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
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Proceedings of the 2000 IEEE/ACM international conference on Computer-aided design
Energy-Efficient Mapping and Scheduling for DVS Enabled Distributed Embedded Systems
Proceedings of the conference on Design, automation and test in Europe
Single-ISA Heterogeneous Multi-Core Architectures: The Potential for Processor Power Reduction
Proceedings of the 36th annual IEEE/ACM International Symposium on Microarchitecture
Multiprocessor EDF and Deadline Monotonic Schedulability Analysis
RTSS '03 Proceedings of the 24th IEEE International Real-Time Systems Symposium
Mode Change Protocols for Real-Time Systems: A Survey and a New Proposal
Real-Time Systems
Power-Aware Scheduling for Periodic Real-Time Tasks
IEEE Transactions on Computers
Single-ISA Heterogeneous Multi-Core Architectures for Multithreaded Workload Performance
Proceedings of the 31st annual international symposium on Computer architecture
An efficient voltage scaling algorithm for complex SoCs with few number of voltage modes
Proceedings of the 2004 international symposium on Low power electronics and design
Proceedings of the 2004 Asia and South Pacific Design Automation Conference
Fast and efficient voltage scheduling by evolutionary slack distribution
Proceedings of the 2004 Asia and South Pacific Design Automation Conference
Cost considerations in network on chip
Integration, the VLSI Journal - Special issue: Networks on chip and reconfigurable fabrics
Mitigating Amdahl's Law through EPI Throttling
Proceedings of the 32nd annual international symposium on Computer Architecture
Improved Schedulability Analysis of EDF on Multiprocessor Platforms
ECRTS '05 Proceedings of the 17th Euromicro Conference on Real-Time Systems
The Partitioned Scheduling of Sporadic Tasks According to Static-Priorities
ECRTS '06 Proceedings of the 18th Euromicro Conference on Real-Time Systems
Algorithms for Determining the Demand-Based Load of a Sporadic Task System
RTCSA '06 Proceedings of the 12th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications
An Optimal Real-Time Scheduling Algorithm for Multiprocessors
RTSS '06 Proceedings of the 27th IEEE International Real-Time Systems Symposium
ACM Transactions on Design Automation of Electronic Systems (TODAES)
Schedulability analysis of global EDF
Real-Time Systems
ICPADS '07 Proceedings of the 13th International Conference on Parallel and Distributed Systems - Volume 01
IEEE Transactions on Parallel and Distributed Systems
Hi-index | 0.00 |
Nowadays, most of the energy-aware real-time scheduling algorithms belong to the DVFS (Dynamic Voltage and Frequency Scaling) framework. These DVFS algorithms are usually efficient but, in addition to often consider unrealistic assumptions: they do not take into account the current evolution of the processor energy consumption profiles. In this paper, we propose an alternative to the DVFS framework which preserves energy, while considering the emerging technologies. We introduce a dual CPU type multiprocessor platform model (compatible with any general-purpose processor) and a non-DVFS associated methodology which considerably simplifies the energy-aware real-time scheduling problem, while providing significant energy savings.