Fine-grain stochastic modelling of dynamic power management policies and analysis of their power–latency tradeoffs
Abstract
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.
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References
1.
Moore S., Taylor G., Mullins R., and Robinson P. Point to point GALS interconnect ASYNC02 2002 69-75
2.
Benini L. and de Micheli G. Dynamic power management: design techniques and CAD tools Kluwer Academic Publishers Norwell, USA 1998
3.
Jacobson H.M. Improved clock-gating through transparent pipelining ISLPED04 2004 26-31
4.
Calhoun B.H., Honore F.A., and Chandrakasan A. Design methodology for fine-grained leakage control in MTCMOS Int. Symp. Low Power Electronics and Design 2003 104-109
5.
Henzler S. Power management of digital circuits in deep sub-micron CMOS technologies Springer 2007
6.
Benini L., Bogliolo A., and De Micheli G. A survey of design techniques for system-level dynamic power management IEEE Trans. VLSI 8 299-316 2000
7.
Yuan L. and Qu G. Analysis of energy reduction on dynamic voltage scaling-enabled systems IEEE Trans. CAD 24 12 1827-1837 2005
8.
Beigne E., Clermidy F., Miermont S., and Vivet P. Dynamic voltage and frequency scaling architecture for units integration within a GALS NoC NOCS 2008 129-138
9.
Nowka K.J., Carpenter G.D., and MacDonald E.W. A 32-bit powerPC system-on-a-chip with support for dynamic voltage scaling and dynamic frequency scaling IEEE J. Solid-State Circuits 37 11 1441-1447 2002
10.
Irani S., Shukla S., and Gupta R. Online strategies for dynamic power management in systems with multiple power-saving states ACM Trans. Embedded Comput. Syst. 2 3 325-346 2003
11.
Benini L., Bogliolo A., Paleologo G.A., and De Micheli G. Policy optimization for dynamic power management IEEE Trans. Comput.-Aided Des. Integr. Circuits Syst. 18 813-833 1999
12.
Wang K. and Huang H. Optimal control of a removable server in an M/Ek/1 queuing system with finite capacity Microelectron. Reliab. 35 7 1023-1030 1995
13.
Pearn W.L. and Chang Y.C. Optimal management of the N-policy M/Ek/1 queuing system with a removable service station: a sensitivity investigation Comput. Oper. 31 7 1001-1015 2004
14.
Srivastava M., Chandrakasan A., and Brodersen R. Predictive system shutdown and other architectural techniques for energy efficient programmable computation IEEE Trans. VLSI Syst. 4 1 42-55 1996
15.
Hwang C.-H. and Wu A. A predictive system shutdown method for energy saving of event-driven computation ACM Transactions on Design Automation of Electronic Systems (TODAES) 5 2 226-241 2000
16.
Lu H., Lu Y., Tang Z., and Wang S. SOC dynamic power management using artificial neural network ISDA 2006 555-564
17.
Simunic T., Benini L., Glynn P., and de Micheli G. Dynamic power management for portable systems The Sixth Annual Int. Conf. Mobile Computing and Networking 2000 Boston 11-19
18.
Qiu Q. and 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 555-561
19.
Tan Y. and Qiu Q. A framework of stochastic power management using hidden Markov model 92-97 2008 Design Automation and Test in Europe (DATE)
20.
Ren Z., Krogh B.H., and Marculescu R. Hierarchical adaptive dynamic power management IEEE Trans. Comput. 54 4 409-420 2005
21.
Mihic K., Simunic T., and Micheli G.D. Reliability and Power management of Integrated Systems 5-11 2008 DSD 2004
22.
Chiasserini C.-F. and Ramesh R. Energy efficient battery management IEEE J. Sel. Areas Commun. 19 7 1235-1245 2001
23.
Lucia C. and Boudewijn H. Quantitative evaluation in embedded system design: predicting battery lifetime in mobile devices 90-91 2008 Design Automation and Test in Europe (DATE)
24.
Chen Y., Xia F., Shang D., and Yakolev A. Stochastic modeling of dynamic power management policies and analysis of their power–latency tradeoffs Fourth UKEF 2008 Southampton 8-16
25.
Kleinrock L. Queuing systems volume I: theory Wiley 1975
26.
Kargahi M. and Movaghar A. A stochastic DVS-based dynamic power management for soft real-time systems Int. Conf. Wireless Networks, Communication and Mobile Computing 2005
27.
Lu Y., Chung E., Simunic T., Benini L., and De Micheli G. Quantitative comparison of power management algorithms 20-26 2000 Design Automation and Test in Europe (DATE)
28.
Chen Y., Xia F., Shang D., and Yakovlev A. Fine grain stochastic modeling and analysis of low power portable devices with dynamic power management UKPEW Workshop 2008 226-236 Conf. No. 24th
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Published in print: 14 December 2009
Published online: 31 March 2024
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