research-article

Adaptive display power management for mobile games

Authors:

Karthik Thirugnanam,

Jeena Sebastian,

Pravein G. Kannan,

Akhihebbal L. Ananda,

Mun Choon Chan,

Rajesh Krishna BalanAuthors Info & Claims

MobiSys '11: Proceedings of the 9th international conference on Mobile systems, applications, and services

Pages 57 - 70

https://doi.org/10.1145/1999995.2000002

Published: 28 June 2011 Publication History

Abstract

In this paper, we show how tone mapping techniques can be used to dynamically increase the image brightness, thus allowing the LCD backlight levels to be reduced. This saves significant power as the majority of the LCD's display power is consumed by its backlight. The Gamma function (or equivalent) can be efficiently implemented in smartphones with minimal resource cost. We describe how we overcame the Gamma function's non-linear nature by using adaptive thresholds to apply different Gamma values to images with differing brightness levels. These adaptive thresholds allow us to save significant amounts of power while preserving the image quality. We implemented our solution on a laptop and two Android smartphones. Finally, we present measured analytical results for two different games (Quake III and Planeshift), and user study results (using Quake III and 60 participants) that shows that we can save up to 68% of the display power without significantly affecting the perceived gameplay quality.

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Cited By

Chen KWan TMatsuda NNinan AChapiro ASun Q(2024)PEA-PODs: Perceptual Evaluation of Algorithms for Power Optimization in XR DisplaysACM Transactions on Graphics10.1145/365812643:4(1-17)Online publication date: 19-Jul-2024
https://dl.acm.org/doi/10.1145/3658126
Li XChen JLiu YWu KGallagher J(2023)Combatting Energy Issues for Mobile ApplicationsACM Transactions on Software Engineering and Methodology10.1145/352785132:1(1-44)Online publication date: 13-Feb-2023
https://dl.acm.org/doi/10.1145/3527851
Wang XWang X(2023)GraphPowerNet: Graph-based power consumption profiling for mobile phone applicationsComputer Networks10.1016/j.comnet.2023.110056237(110056)Online publication date: Dec-2023
https://doi.org/10.1016/j.comnet.2023.110056
Show More Cited By

Index Terms

Adaptive display power management for mobile games
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
  2. Computer graphics
    1. Image manipulation
    2. Rendering
2. Social and professional topics

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Published In

cover image ACM Conferences

MobiSys '11: Proceedings of the 9th international conference on Mobile systems, applications, and services

June 2011

430 pages

ISBN:9781450306430

DOI:10.1145/1999995

General Chair:
Ashok Agrawala
University of Maryland, USA
,
Program Chairs:
Mark D. Corner
UMass Amherst, USA
,
David Wetherall
University of Wash. & Intel Labs, USA

Copyright © 2011 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing

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New York, NY, United States

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Published: 28 June 2011

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MobiSys'11: The 9th International Conference on Mobile Systems, Applications, and Services

June 28 - July 1, 2011

Maryland, Bethesda, USA

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Overall Acceptance Rate 274 of 1,679 submissions, 16%

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Cited By

Chen KWan TMatsuda NNinan AChapiro ASun Q(2024)PEA-PODs: Perceptual Evaluation of Algorithms for Power Optimization in XR DisplaysACM Transactions on Graphics10.1145/365812643:4(1-17)Online publication date: 19-Jul-2024
https://dl.acm.org/doi/10.1145/3658126
Li XChen JLiu YWu KGallagher J(2023)Combatting Energy Issues for Mobile ApplicationsACM Transactions on Software Engineering and Methodology10.1145/352785132:1(1-44)Online publication date: 13-Feb-2023
https://dl.acm.org/doi/10.1145/3527851
Wang XWang X(2023)GraphPowerNet: Graph-based power consumption profiling for mobile phone applicationsComputer Networks10.1016/j.comnet.2023.110056237(110056)Online publication date: Dec-2023
https://doi.org/10.1016/j.comnet.2023.110056
Chen ZShang SWu QXue JShen ZShao ZGrosser TLee K(2022)An old friend is better than two new ones: dual-screen AndroidProceedings of the 23rd ACM SIGPLAN/SIGBED International Conference on Languages, Compilers, and Tools for Embedded Systems10.1145/3519941.3535071(86-98)Online publication date: 14-Jun-2022
https://dl.acm.org/doi/10.1145/3519941.3535071
Hort MKechagia MSarro FHarman M(2022)A Survey of Performance Optimization for Mobile ApplicationsIEEE Transactions on Software Engineering10.1109/TSE.2021.307119348:8(2879-2904)Online publication date: 1-Aug-2022
https://doi.org/10.1109/TSE.2021.3071193
Li XShi ZChen JLiu YHardavellas NCampanoni SGrot BKarpuzcu U(2022)Realizing Emotional Interactions to Learn User Experience and Guide Energy Optimization for Mobile ArchitecturesProceedings of the 55th Annual IEEE/ACM International Symposium on Microarchitecture10.1109/MICRO56248.2022.00064(868-884)Online publication date: 1-Oct-2022
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Bharti SKumar A(2022)Low Power-Area based Composite 6T-8T SRAM for soft computing applications2022 Second International Conference on Power, Control and Computing Technologies (ICPC2T)10.1109/ICPC2T53885.2022.9777036(1-6)Online publication date: 1-Mar-2022
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Li XHong SChen JYan GWu K(2022)Using Psychophysics to Guide Power Adaptation for Input Methods on Mobile Architectures2022 IEEE International Symposium on High-Performance Computer Architecture (HPCA)10.1109/HPCA53966.2022.00045(514-527)Online publication date: Apr-2022
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Bharti SKumar AGupta P(2022)Review of Approximate Computing in Image Processing Applications2022 4th International Conference on Artificial Intelligence and Speech Technology (AIST)10.1109/AIST55798.2022.10065214(1-6)Online publication date: 9-Dec-2022
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Dash PHu YBanerjee SMottola LZhou X(2021)How much battery does dark mode save?Proceedings of the 19th Annual International Conference on Mobile Systems, Applications, and Services10.1145/3458864.3467682(323-335)Online publication date: 24-Jun-2021
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