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Analysis of dynamic voltage scaling for system level energy management

Published: 07 December 2008 Publication History

Abstract

In this paper we show that in modern computing systems, DVFS gives much more limited energy savings with relatively high performance overhead as compared to running workloads at high speed and then transitioning into low power state. The primary reasons for this are recent advancements in platform and CPU architectures such as sophisticated memory subsystem design, and more efficient low power state support. We justify our analysis with measurements on a state of the art system using benchmarks ranging from very CPU intensive to memory intensive workloads.

References

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A. Varma, B. Ganesh, M. Sen, S. R. Choudhury, L. Srinivasan, and J. Bruce, "A control-theoretic approach to dynamic voltage scheduling," in CASES, 2003, pp. 255- 266.
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G. Quan and X. Hu, "Minimum energy fixed-priority scheduling for variable voltage processor," in DATE '02, 2002, p. 782.
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Y. Zhu and F. Mueller, "Feedback edf scheduling of realtime tasks exploiting dynamic voltage scaling," Real-Time Syst., vol. 31, no. 1-3, pp. 33-63, 2005.
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D. Shin, J. Kim, and S. Lee, "Low-energy intra-task voltage scheduling using static timing analysis," in DAC '01, 2001, pp. 438-443.
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A. Azevedo, I. Issenin, R. Cornea, R. Gupta, N. Dutt, A. Veidenbaum, and A. Nicolau, "Profile-based dynamic voltage scheduling using program checkpoints," in DATE '02, 2002, p. 168.
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C. Isci, G. Contreras, and M. Martonosi, "Live, runtime phase monitoring and prediction on real systems with application to dynamic power management," in MICRO, 2006, pp. 359-370.
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G. Dhiman and T. S. Rosing, "Dynamic voltage frequency scaling for multi-tasking systems using online learning," in ISLPED, 2007, pp. 207-212.
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http://www.intel.com/technology/architecturesilicon/ intel64/45nm core2 whitepaper.pdf

Cited By

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  • (2016)Selecting Heterogeneous Cores for DiversityACM Transactions on Architecture and Code Optimization10.1145/301416513:4(1-25)Online publication date: 16-Dec-2016
  • (2016)Invited - Optimizing device reliability effects at the intersection of physics, circuits, and architectureProceedings of the 53rd Annual Design Automation Conference10.1145/2897937.2905016(1-6)Online publication date: 5-Jun-2016
  • (2012)Improving energy efficiency for mobile platforms by exploiting low-power sleep statesProceedings of the 9th conference on Computing Frontiers10.1145/2212908.2212928(133-142)Online publication date: 15-May-2012
  • Show More Cited By

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Published In

cover image Guide Proceedings
HotPower'08: Proceedings of the 2008 conference on Power aware computing and systems
December 2008
17 pages

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USENIX Association

United States

Publication History

Published: 07 December 2008

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Cited By

View all
  • (2016)Selecting Heterogeneous Cores for DiversityACM Transactions on Architecture and Code Optimization10.1145/301416513:4(1-25)Online publication date: 16-Dec-2016
  • (2016)Invited - Optimizing device reliability effects at the intersection of physics, circuits, and architectureProceedings of the 53rd Annual Design Automation Conference10.1145/2897937.2905016(1-6)Online publication date: 5-Jun-2016
  • (2012)Improving energy efficiency for mobile platforms by exploiting low-power sleep statesProceedings of the 9th conference on Computing Frontiers10.1145/2212908.2212928(133-142)Online publication date: 15-May-2012
  • (2010)vGreenACM Transactions on Design Automation of Electronic Systems10.1145/1870109.187011516:1(1-27)Online publication date: 1-Nov-2010
  • (2010)Dynamic workload characterization for power efficient scheduling on CMP systemsProceedings of the 16th ACM/IEEE international symposium on Low power electronics and design10.1145/1840845.1840941(437-442)Online publication date: 18-Aug-2010

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