Predictive models for multimedia applications power consumption based on use-case and OS level analysis

Proceedings -Design, Automation and Test in Europe, DATE

Volumn , Issue , 2009, Pages 1446-1451

  Bellasi, Patrick ^a   Fornaciari, William ^a   Siorpaes, David ^b  

^a POLITECNICO DI MILANO   (Italy)

^b STMICROELECTRONICS   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

SYSTEM-ON-CHIP;

ABSTRACTION LEVEL; ACCURATE MODELING; DESIGN WORKFLOW; EMBEDDED APPLICATION; MOBILE MULTIMEDIA; MULTIMEDIA APPLICATIONS; POWER OPTIMIZATION; PREDICTIVE MODELS;

ELECTRIC POWER UTILIZATION;

EID: 70350066488     PISSN: 15301591     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/date.2009.5090891     Document Type: Conference Paper

References (28)

1. L. Benini, A. Bogliolo, and G. D. Micheli, "A survey of design techniques for system-level dynamic power management," IEEE Transactions on VLSI Systems, vol. 8, no. 3, pp. 299-316, Jun 2000.
2. K. Govil, E. Chan, and H. Wasserman, "Comparing algorithm for dynamic speed-setting of a low-power cpu," in MobiCom '95: Proceedings of the 1st annual international conference on Mobile computing and networking. New York, NY, USA: ACM, 1995, pp. 13-25. [Online]. Available: http://doi.acm.org/10.1145/215530.215546
3. T. Pering, T. Burd, and R. Brodersen, "The simulation and evaluation of dynamic voltage scaling algorithms," in ISLPED '98: Proceedings of the 1998 international symposium on Low power electronics and design. New York, NY, USA: ACM, 1998, pp. 76-81. [Online]. Available: http://doi.acm.org/10. 1145/280756.280790
4. Y. Lu, E. Chung, T. Simunic, L. Benini, and G. Micheli, "Quantitative comparison of power management algorithms," 2000. [Online]. Available: citeseer.ist.psu.edu/lu00quantitative.html
5. P. Pillai and K. G. Shin, "Real-time dynamic voltage scaling for low-power embedded operating systems," in SOSP '01: Proceedings of the eighteenth ACM symposium on Operating systems principles. New York, NY, USA: ACM, 2001, pp. 89-102. [Online]. Available: http://doi.acm.org/10.1145/502034. 502044
6. A. Manzak and C. Chakrabarti, "Variable voltage task scheduling algorithms for minimizing energy/power," IEEE Trans. Very Large Scale Integr. Syst., vol. 11, no. 2, pp. 270-276, 2003. [Online]. Available: http://dx.doi.org/10.1109/TVLSI.2003.810801
7. W. Yuan and K. Nahrstedt, "Energy-efficient soft real-time cpu scheduling for mobile multimedia systems," in SOSP '03: Proceedings of the nineteenth ACM symposium on Operating systems principles. New York, NY, USA: ACM, 2003, pp. 149-163. [Online]. Available: http://doi.acm.org/10.1145/ 945445.945460
8. J. Lorch and A. Smith, "Pace: A new approach to dynamic voltage scaling," IEEE Trans. Comput., vol. 53, no. 7, pp. 856-869, 2004. [Online]. Available: http://dx.doi.org/10.1109/TC.2004.35
9. Y. Cho, N. Chang, C. Chakrabarti, and S. Vrudhula, "High-level power management of embedded systems with application-specific energy cost functions," in DAC '06: Proceedings of the 43rd Annual Conference on Design Automation. New York, NY, USA: ACM Press, 2006, pp. 568-573. [Online]. Available: http://doi.acm.org/10.1145/1146909.1147057
10. Y. Cho and N. Chang, "Memory-aware energy-optimal frequency assignment for dynamic supply voltage scaling," in ISLPED '04: Proceedings of the 2004 international symposium on Low power electronics and design. New York, NY, USA: ACM, 2004, pp. 387-392. [Online]. Available: http://doi.acm.org/10.1145/1013235.1013327
11. Y. Choi, N. Chang, and T. Kim, "Dc-dc converter-aware power management for battery-operated embedded systems," in DAC '05: Proceedings of the 42nd annual conference on Design automation. New York, NY, USA: ACM, 2005, pp. 895-900. [Online]. Available: http://doi.acm.org/10. 1145/1065579.1065814
12. R. Jejurikar, C. Pereira, and R. Gupta, "Leakage aware dynamic voltage scaling for real-time embedded systems," in DAC '04: Proceedings of the 41st annual conference on Design automation. New York, NY, USA: ACM, 2004, pp. 275-280. [Online]. Available: http://doi.acm.org/10.1145/996566. 996650
13. L. Niu and G. Quan, "Reducing both dynamic and leakage energy consumption for hard real-time systems," in CASES '04: Proceedings of the 2004 international conference on Compilers, architecture, and synthesis for embedded systems. New York, NY, USA: ACM, 2004, pp. 140-148. [Online]. Available: http://doi.acm.org/10.1145/1023833.1023854
14. R. Jejurikar and R. Gupta, "Dynamic voltage scaling for systemwide energy minimization in real-time embedded systems," in ISLPED '04: Proceedings of the 2004 international symposium on Low power electronics and design. New York, NY, USA: ACM, 2004, pp. 78-81. [Online]. Available: http://doi.acm.org/10.1145/1013235.1013261
15. T. Pering, T. Burd, and R. Brodersen, "Voltage scheduling in the iparm microprocessor system," in ISLPED '00: Proceedings of the 2000 international symposium on Low power electronics and design. New York, NY, USA: ACM, 2000, pp. 96-101. [Online]. Available: http://doi.acm.org/10.1145/ 344166.344530
16. B. Brock and K. Rajamani, "Dynamic power management for embedded systems," Proceedings on IEEE International SoC Conference, pp. 416-419, Sept. 2003.
17. S. Gurumurthi, A. Sivasubramaniam, M. Irwin, N. Vijaykrishnan, and M. Kandemir, "Using complete machine simulation for software power estimation: the softwatt approach," Feb. 2002, pp. 141-150.
18. T. Tan, A. Raghunathan, and N. Jha, "Emsim: an energy simulation framework for an embedded operating system," IEEE International Symposium on Circuits and Systems, vol. 2, pp. II-464-II-467 vol.2, 2002.
19. K. Baynes, C. Collins, E. Fiterman, B. Ganesh, P. Kohout, C. Smit, T. Zhang, and B. Jacob, "The performance and energy consumption of embedded real-time operating systems," IEEE Transactions on Computers, vol. 52, no. 11, pp. 1454-1469, Nov. 2003.
20. R. Dick, G. Lakshminarayana, A. Raghunathan, and N. Jha, "Analysis of power dissipation in embedded systems using real-time operating systems," IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, vol. 22, no. 5, pp. 615-627, May 2003.
21. T. Tan, A. Raghunathan, and N. Jha, "Embedded operating system energy analysis and macro-modeling," 2002, pp. 515-522.
22. T. Li and L. K. John, "Run-time modeling and estimation of operating system power consumption," in SIGMETRICS '03: Proceedings of the 2003 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems. New York, NY, USA: ACM Press, 2003, pp. 160-171. [Online]. Available: http://doi.acm.org/10.1145/781027.781048
23. A. Acquaviva, L. Benini, and B. Riccó, "Energy characterization of embedded real-time operating systems," SIGARCH Comput. Archit. News, vol. 29, no. 5, pp. 13-18, 2001. [Online]. Available: http://portal.acm.org/citation.cfm?id=563647.563652
24. R. Oliver, P. Teller, and W. McGregor, "Accurate measurement of system call service times for trace-driven simulation of memory hierarchy designs," Feb 1998, pp. 239-244.
25. C. Brandolese and W. Fornaciari, "Measurement, analysis and modeling of rtos system calls timing," Sept. 2008, pp. 618-625.
26. P. Bellasi, "Dynamicpower for stlinux," STMicroelectronics, Tech. Rep. 76, 2007.
27. R. Mason, R. Gunst, and J. Hess, Statistical Design and Analysis of Experiments, 2nd Edition, Wiley, Ed., 2003.
28. IBM and M. Software, "Dynamic power management for embedded systems," Tech. Rep., 11 2002.