Energy trade-offs in the IBM wristwatch computer

Kamijoh, N.; Inoue, Takuya; Olsen, C.M.; Raghunath, M.; Narayanaswami, Chandra

doi:10.1109/iswc.2001.962115

Cited by 38 publications

(30 citation statements)

References 8 publications

(9 reference statements)

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“…As we will show, the relationship is indeed nonlinear. The IBM Linux Wrist Watch was one of the earliest users of OLED displays [11]. The work, however, did not employ or provide a power model for the OLED display.…”

Section: Second Given the Complete Bitmap Of The Display Content Homentioning

confidence: 99%

Power modeling of graphical user interfaces on OLED displays

Dong

Choi

Lin

2009

Proceedings of the 46th Annual Design Automation Conference

105

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Emerging organic light-emitting diode (OLED)-based displays obviate external lighting; and consume drastically different power when displaying different colors, due to their emissive nature. This creates a pressing need for OLED display power models for system energy management, optimization as well as energyefficient GUI design, given the display content or even the graphical user interface (GUI) code. In this work, we present a comprehensive treatment of power modeling of OLED displays, providing models that estimate power consumption based on pixel, image, and code, respectively. These models feature various tradeoffs between computation efficiency and accuracy so that they can be employed in different layers of a mobile system. We validate the proposed models using a commercial QVGA OLED module. For example, our statistical learning-based image-level model reduces computation by 1600 times while keeping the error below 10%, compared to the more accurate pixel-level model.

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Section: Second Given the Complete Bitmap Of The Display Content Homentioning

confidence: 99%

Power modeling of graphical user interfaces on OLED displays

Dong

Choi

Lin

2009

Proceedings of the 46th Annual Design Automation Conference

105

View full text Add to dashboard Cite

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“…They propose three optimizations that (1) vary the refresh rate to exploit the after-image caused by the time constant of the storage capacitors, (2) vary the color depth to be able to reduce the memory requirements and hence the memory power, and (3) vary the backlight luminance with a corresponding compensation of the brightness and contrast. Kamijoh et al [4] discuss the energy trade-offs in the IBM wristwatch computer. While they focus mainly on the hardware-level tradeoffs and kernel optimizations to use the various standby and idle configurations of hardware, they also discuss the implication of controlling the number of pixels turned on or off on the energy as well as reducing the duty factor of the display to control the brightness of the entire screen (e.g., at night).…”

Section: Related Workmentioning

confidence: 99%

Energy-Adaptive Display System Designs for Future Mobile Environments

Iyer¹,

Luo²,

Mayo³

et al. 2003

Proceedings of the 1st International Conference on Mobile Systems, Applications and Services

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power management, displays, energy, low-power, OLED, user-interface, mobilityThe utility of a mobile computer, such as a laptop, is largely constrained by battery life. The display stands out as a major consumer of battery energy, so reducing that consumption is desirable. In this paper, we motivate and study energy-adaptive display sub-systems that match display energy consumption to the functionality required by the workload/user. Through a detailed characterization of display usage patterns, we show that screen usage of a typical user is primarily associated with content that could be d isplayed in smaller and simpler displays with significantly lower energy use. We propose example energyadaptive designs that use emerging OLED displays and software optimizations that we call dark windows. Modeling the power benefits from this approach shows significant, though user-specific, energy benefits. Prototype implementations also show acceptability of the new user interfaces among users. AbstractThe utility of a mobile computer, such as a laptop, is largely constrained by battery life. The display stands out as a major consumer of battery energy, so reducing that consumption is desirable. In this paper, we motivate and study energy-adaptive display sub-systems that match display energy consumption to the functionality required by the workload/user. Through a detailed characterization of display usage patterns, we show that screen usage of a typical user is primarily associated with content that could be displayed in smaller and simpler displays with significantly lower energy use. We propose example energy-adaptive designs that use emerging OLED displays and software optimizations that we call dark windows. Modeling the power benefits from this approach shows significant, though user-specific, energy benefits. Prototype implementations also show acceptability of the new user interfaces among users.

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“…We chose four locations: the left wrist, left hip and both shoes. The left wrist is the place where most people wear their watches where an acceleration sensor can easily be embedded [7]. The shoes are an ideal place to place self-powered acceleration sensor nodes [10].…”

Section: Methodsmentioning

confidence: 99%