Dynamic Power Optimization of Interactive Systems

  • Authors:
  • Lin Zhong;Niraj K. Jha

  • Affiliations:
  • -;-

  • Venue:
  • VLSID '04 Proceedings of the 17th International Conference on VLSI Design
  • Year:
  • 2004

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Abstract

Abstract| Power has become a major concern for mobile computing systems such as laptops and handhelds, onwhich a significant fraction of software usage is interactiveinstead of computation-intensive. An analysis shows thatover 90% of system energy and time is spent waiting foruser input. Such idle periods provide vast opportunitiesfor dynamic power management (DPM) and voltage scaling(DVS) techniques to reduce system energy. The user interface is in charge of system-user interaction. It often has apriori knowledge about how the user and system interact ata given moment. In this work, we propose to utilize such apriori knowledge and theories from the field of Psychologyto predict user delays. We show that such delay predictionscan be combined with DPM/DVS for aggressive power optimization. We verify the effectiveness of our methodologiesusing usage traces collected on a personal digital assistant(PDA) and a system power model based on accurate measurements. Experiments show that using predicted user delays for DPM/DVS achieves an average of 21.9% systemenergy reduction with little sacrifice in user productivity orsatisfaction.