Power analysis of embedded software: a first step towards software power minimization
IEEE Transactions on Very Large Scale Integration (VLSI) Systems - Special issue on low-power design
Efficient power co-estimation techniques for system-on-chip design
DATE '00 Proceedings of the conference on Design, automation and test in Europe
Energy estimation tools for the Palm
Proceedings of the 3rd ACM international workshop on Modeling, analysis and simulation of wireless and mobile systems
Dynamic voltage scaling and power management for portable systems
Proceedings of the 38th annual Design Automation Conference
High-level software energy macro-modeling
Proceedings of the 38th annual Design Automation Conference
Low-Power CMOS Design
Software Power Estimation and Optimization for High Performance, 32-bit Embedded Processors
ICCD '98 Proceedings of the International Conference on Computer Design
Instruction level and operating system profiling for energy exposed software
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Power/energy estimator for designing WSN nodes with ambient energy harvesting feature
EURASIP Journal on Embedded Systems - Special issue on networked embedded systems for energy management and buildings
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This paper presents a novel strategy aimed at modeling the instruction energy consumption of ARM microprocessors with dynamic voltage scaling (DVS) support. A novel energy estimation algorithm is designed, which can record the function calls, and generate a detailed energy profile for each function in a specific program. Some of the optimization policies for implementation are also discussed. These optimization policies reduce the workload of the energy estimators for the individual SOC systems. The prototype system, SKYEYE, can automatically detect the voltage/frequency variation activated by DVS system, and adjust the energy estimation model accordingly. The experiment results further prove the effectiveness of the algorithm.