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
- Author(s): Y. Chen ; F. Xia ; D. Shang ; A. Yakovlev
- DOI: 10.1049/iet-sen.2009.0003
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- Author(s): Y. Chen 1 ; F. Xia 1 ; D. Shang 1 ; A. Yakovlev 1
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View affiliations
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Affiliations:
1: Asynchronous Systems Laboratory, Newcastle University, Newcastle, UK
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Affiliations:
1: Asynchronous Systems Laboratory, Newcastle University, Newcastle, UK
- Source:
Volume 3, Issue 6,
December 2009,
p.
458 – 469
DOI: 10.1049/iet-sen.2009.0003 , Print ISSN 1751-8806, Online ISSN 1751-8814
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.
Inspec keywords: Markov processes; low-power electronics; microprocessor chips; power control
Other keywords:
Subjects: Microprocessors and microcomputers; Markov processes; Power electronics, supply and supervisory circuits
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