Proceedings of the 6th international workshop on Hardware/software codesign
LEneS: task scheduling for low-energy systems using variable supply voltage processors
Proceedings of the 2001 Asia and South Pacific Design Automation Conference
Task scheduling and voltage selection for energy minimization
Proceedings of the 39th annual Design Automation Conference
Low power system scheduling and synthesis
Proceedings of the 2001 IEEE/ACM international conference on Computer-aided design
Proceedings of the 2002 IEEE/ACM international conference on Computer-aided design
Task Graph Extraction for Embedded System Synthesis
VLSID '03 Proceedings of the 16th International Conference on VLSI Design
Leakage aware dynamic voltage scaling for real-time embedded systems
Proceedings of the 41st annual Design Automation Conference
Multiprocessor Energy-Efficient Scheduling for Real-Time Tasks with Different Power Characteristics
ICPP '05 Proceedings of the 2005 International Conference on Parallel Processing
MiBench: A free, commercially representative embedded benchmark suite
WWC '01 Proceedings of the Workload Characterization, 2001. WWC-4. 2001 IEEE International Workshop
Online energy-aware I/O device scheduling for hard real-time systems
Proceedings of the conference on Design, automation and test in Europe: Proceedings
Energy-Efficient Real-Time Task Scheduling for a DVS System with a Non-DVS Processing Element
RTSS '06 Proceedings of the 27th IEEE International Real-Time Systems Symposium
System-wide energy minimization for real-time tasks: Lower bound and approximation
ACM Transactions on Embedded Computing Systems (TECS)
Hybrid Super/Subthreshold Design of a Low Power Scalable-Throughput FFT Architecture
HiPEAC '09 Proceedings of the 4th International Conference on High Performance Embedded Architectures and Compilers
VLSID '10 Proceedings of the 2010 23rd International Conference on VLSI Design
ACM Transactions on Design Automation of Electronic Systems (TODAES)
RTSS '10 Proceedings of the 2010 31st IEEE Real-Time Systems Symposium
IEEE Transactions on Computers
Certification-Cognizant Time-Triggered Scheduling of Mixed-Criticality Systems
RTSS '11 Proceedings of the 2011 IEEE 32nd Real-Time Systems Symposium
Energy Minimizing for Parallel Real-Time Tasks Based on Level-Packing
RTCSA '12 Proceedings of the 2012 IEEE International Conference on Embedded and Real-Time Computing Systems and Applications
Optimal DPM and DVFS for frame-based real-time systems
ACM Transactions on Architecture and Code Optimization (TACO) - Special Issue on High-Performance Embedded Architectures and Compilers
Energy-Aware Scheduling for Frame-Based Tasks on Heterogeneous Multiprocessor Platforms
ICPP '12 Proceedings of the 2012 41st International Conference on Parallel Processing
Cyber-Physical Systems Design for Electric Vehicles
DSD '12 Proceedings of the 2012 15th Euromicro Conference on Digital System Design
DSD '12 Proceedings of the 2012 15th Euromicro Conference on Digital System Design
Energy optimization with worst-case deadline guarantee for pipelined multiprocessor systems
Proceedings of the Conference on Design, Automation and Test in Europe
Proceedings of the 50th Annual Design Automation Conference
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Energy optimization is a critical design concern for embedded systems. Combining DVFS+DPM is considered as one preferable technique to reduce energy consumption. There have been optimal DVFS+DPM algorithms for periodic independent tasks running on uniprocessor in the literature. Optimal combination of DVFS and DPM for periodic dependent tasks on multicore systems is however not yet reported. The challenge of this problem is that the idle intervals of cores are not easy to model. In this article, a novel technique is proposed to directly model the idle intervals of individual cores such that both DVFS and DPM can be optimized at the same time. Based on this technique, the energy optimization problem is formulated by means of mixed integrated linear programming. We also present techniques to prune the exploration space of the formulation. Experimental results using real-world benchmarks demonstrate the effectiveness of our approach compared to existing approaches.