Energy efficient hybrid display and predictive models for embedded and mobile systems

  • Authors:
  • Yuanfeng Wen;Ziyi Liu;Weidong Shi;Yifei Jiang;Albert M.K. Cheng;Khoa Le;Yuanfeng Wen

  • Affiliations:
  • University of Houston, Houston, USA;University of Houston, Houston, USA;University of Houston, Houston, USA;University of Colorado at Boulder, Boulder, USA;University of Houston, Houston, USA;University of Houston, Houston, USA;University of Houston, Houston, USA

  • Venue:
  • Proceedings of the 2012 international conference on Compilers, architectures and synthesis for embedded systems
  • Year:
  • 2012

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Abstract

Electrophoretic displays (EPDs) and organic light emitting diode (OLEDs) are two key technologies used in mobile de-vices. In this paper, we propose the design of an integrated hybrid display combining a transparent OLED (TOLED) and a low power EPD, which is adaptive to show contents of a frame partially on either the TOLED or the EPD. A windows-based predictive model and a calibration algorithm on TOLED are introduced to decide how frame contents can be split between the two displays for achieving the best tradeoff between power reduction and user experiences. A simulation environment that can estimate both the energy consumption and optical properties of the proposed hybrid display is set up based on actual physical measurements. Simulation results show that the predictive model can make right decisions on choosing proper displays in over 90% of the test cases, and this new display design can save over 70% power under many mobile application contexts and still sup-port contents that require fast update rates.