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Fine-grain stochastic modelling of dynamic power management policies and analysis of their power–latency tradeoffs

Fine-grain stochastic modelling of dynamic power management policies and analysis of their power–latency tradeoffs

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Dynamic power management (DPM) is one of the main system-level low-power techniques for portable devices. This study presents a fine-grain Markov modelling approach that enables accurate analysis of system power and latency characteristics with full consideration of mode switching overheads in both processor and power controller. The new approach also makes it possible to incorporate latency analysis in terms of deadline satisfaction.

References

    1. 1)
      • K. Mihic , T. Simunic , G.D. Micheli . (2008) Reliability and Power management of Integrated Systems.
    2. 2)
      • K. Wang , H. Huang . Optimal control of a removable server in an M/Ek/1 queuing system with finite capacity. Microelectron. Reliab. , 7 , 1023 - 1030
    3. 3)
      • Chen, Y., Xia, F., Shang, D., Yakovlev, A.: `Fine grain stochastic modeling and analysis of low power portable devices with dynamic power management', 24thUKPEW Workshop, 2008, p. 226–236.
    4. 4)
      • Simunic, T., Benini, L., Glynn, P., de Micheli, G.: `Dynamic power management for portable systems', The Sixth Annual Int. Conf. Mobile Computing and Networking, 2000, Boston, p. 11–19.
    5. 5)
      • Chen, Y., Xia, F., Shang, D., Yakolev, A.: `Stochastic modeling of dynamic power management policies and analysis of their power–latency tradeoffs', Fourth UKEF, 2008, Southampton, p. 8–16.
    6. 6)
      • Z. Ren , B.H. Krogh , R. Marculescu . Hierarchical adaptive dynamic power management. IEEE Trans. Comput. , 4 , 409 - 420
    7. 7)
      • C.-F. Chiasserini , R. Ramesh . Energy efficient battery management. IEEE J. Sel. Areas Commun. , 7 , 1235 - 1245
    8. 8)
      • Lu, H., Lu, Y., Tang, Z., Wang, S.: `SOC dynamic power management using artificial neural network', ISDA, 2006, p. 555–564.
    9. 9)
      • K.J. Nowka , G.D. Carpenter , E.W. MacDonald . A 32-bit powerPC system-on-a-chip with support for dynamic voltage scaling and dynamic frequency scaling. IEEE J. Solid-State Circuits , 11 , 1441 - 1447
    10. 10)
      • L. Kleinrock . (1975) Queuing systems volume I: theory.
    11. 11)
      • C. Lucia , H. Boudewijn . (2008) Quantitative evaluation in embedded system design: predicting battery lifetime in mobile devices.
    12. 12)
      • Qiu, Q., Pedram, M.: `Dynamic power management based on continuous-time Markov decision processes', Proc. 36th ACM/IEEE Conf. Design Automation, June 1999, New Orleans, LA, USA, p. 555–561.
    13. 13)
      • L. Yuan , G. Qu . Analysis of energy reduction on dynamic voltage scaling-enabled systems. IEEE Trans. CAD , 12 , 1827 - 1837
    14. 14)
      • L. Benini , G. de Micheli . (1998) Dynamic power management: design techniques and CAD tools.
    15. 15)
      • S. Henzler . (2007) Power management of digital circuits in deep sub-micron CMOS technologies.
    16. 16)
      • S. Irani , S. Shukla , R. Gupta . Online strategies for dynamic power management in systems with multiple power-saving states. ACM Trans. Embedded Comput. Syst. , 3 , 325 - 346
    17. 17)
      • W.L. Pearn , Y.C. Chang . Optimal management of the N-policy M/Ek/1 queuing system with a removable service station: a sensitivity investigation. Comput. Oper. , 7 , 1001 - 1015
    18. 18)
      • Y. Tan , Q. Qiu . (2008) A framework of stochastic power management using hidden Markov model.
    19. 19)
      • M. Srivastava , A. Chandrakasan , R. Brodersen . Predictive system shutdown and other architectural techniques for energy efficient programmable computation. IEEE Trans. VLSI Syst. , 1 , 42 - 55
    20. 20)
      • Y. Lu , E. Chung , T. Simunic , L. Benini , G. De Micheli . (2000) Quantitative comparison of power management algorithms.
    21. 21)
      • Beigne, E., Clermidy, F., Miermont, S., Vivet, P.: `Dynamic voltage and frequency scaling architecture for units integration within a GALS NoC', NOCS, 2008, p. 129–138.
    22. 22)
      • L. Benini , A. Bogliolo , G.A. Paleologo , G. De Micheli . Policy optimization for dynamic power management. IEEE Trans. Comput.-Aided Des. Integr. Circuits Syst. , 813 - 833
    23. 23)
      • L. Benini , A. Bogliolo , G. De Micheli . A survey of design techniques for system-level dynamic power management. IEEE Trans. VLSI , 299 - 316
    24. 24)
      • Jacobson, H.M.: `Improved clock-gating through transparent pipelining', ISLPED04, 2004, p. 26–31.
    25. 25)
      • Calhoun, B.H., Honore, F.A., Chandrakasan, A.: `Design methodology for fine-grained leakage control in MTCMOS', Int. Symp. Low Power Electronics and Design, 2003, p. 104–109.
    26. 26)
      • Moore, S., Taylor, G., Mullins, R., Robinson, P.: `Point to point GALS interconnect', ASYNC02, 2002, p. 69–75.
    27. 27)
      • Kargahi, M., Movaghar, A.: `A stochastic DVS-based dynamic power management for soft real-time systems', Int. Conf. Wireless Networks, Communication and Mobile Computing, 2005.
    28. 28)
      • C.-H. Hwang , A. Wu . A predictive system shutdown method for energy saving of event-driven computation. ACM Transactions on Design Automation of Electronic Systems (TODAES) , 2 , 226 - 241
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