Abstract
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.
This research was supported by National 863 project of China (No. 2003AA1Z2090) and National Science Foundation of China (No. 60203024).
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Kang, S., Wang, H., Chen, Y., Wang, X., Dai, Y. (2005). Skyeye: An Instruction Simulator with Energy Awareness. In: Wu, Z., Chen, C., Guo, M., Bu, J. (eds) Embedded Software and Systems. ICESS 2004. Lecture Notes in Computer Science, vol 3605. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11535409_66
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DOI: https://doi.org/10.1007/11535409_66
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28128-3
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