Lightweight graphics instrumentation for game state-specific power management in Android

Dietrich, Benedikt; Chakraborty, Samarjit

doi:10.1007/s00530-014-0377-x

Cited by 32 publications

(36 citation statements)

References 17 publications

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“…For example, there has been work on mobile games [11,13,34], navigation and media streaming [14,30]. All the works exploit the application-specific information provided by the respective application for power management.…”

Section: Related Workmentioning

confidence: 99%

“…For such devices, the battery lifetime is one of the most important usability factors to which users now pay a significant amount of attention [36]. While power management of mobile devices has been extensively studied for several years now, the focus has been on video decoding applications [24,38], and also on games [13,25]. Surprisingly, power management techniques specifically targeting the web browser have been less studied [35,45,48].…”

Section: Introductionmentioning

confidence: 99%

“…In addition, in many of the browsing activities, the web browser tries to maintain a target frame rate, e.g., 60 FPS. However, the Android governors are not aware of this, which can lead to slack times [9,12,13,28].…”

Section: Introductionmentioning

confidence: 99%

“…Applicationspecific characteristics, rather than the CPU utilization alone, can give a better insight into the current resource demands of the application. In games, for example, there are different game phases such as loading, menu, and playing with varying workload and performance requirements [13]. During the loading phase, frames need not be updated as frequently as during the playing phase and the computation is memory bound.…”

Section: Introductionmentioning

confidence: 99%

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Phase-Aware Web Browser Power Management on HMP Platforms

Peters

Park

Clifford

et al. 2018

Proceedings of the 2018 International Conference on Supercomputing

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Over the last years, web browsing has been steadily shifting from desktop computers to mobile devices like smartphones and tablets. However, mobile browsers available today have mainly focused on performance rather than power consumption, although the battery life of a mobile device is one of the most important usability metrics. This is because many of these browsers have originated in the desktop domain and have been ported to the mobile domain. Such browsers have multiple power hungry components such as the rendering engine, and the JavaScript engine, and generate high workload without considering the capabilities and the power consumption characteristics of the underlying hardware platform. Also, the lack of coordination between a browser application and the power manager in the operating system (such as Android) results in poor power savings. In this paper, we propose a power manager that takes into account the internal state of a browser -that we refer to as a phase -and show with Google's Chrome running on Android that up to 57.4% more energy can be saved over Android's default power managers. We implemented and evaluated our technique on a heterogeneous multi-processing (HMP) ARM big.LITTLE platform such as the ones found in most modern smartphones.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Phase-Aware Web Browser Power Management on HMP Platforms

Peters

Park

Clifford

et al. 2018

Proceedings of the 2018 International Conference on Supercomputing

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“…Second, the gaming workload depends on the game state. For example, recent work [5] has shown that players spend a significant amount of time not only on actually playing the game, but as well in menu states or in loading states during which game content is fetched. Third, computation workload of games is nondeterministic and depends significantly on the interaction with the user.…”

Section: Introductionmentioning

confidence: 99%

Estimating the Limits of CPU Power Management for Mobile Games

Dietich¹,

Peters²,

Park³

et al. 2017

2017 IEEE International Conference on Computer Design (ICCD)

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Abstract-Games are one of the most popular and at the same time most computation intensive and energy consuming class of applications on mobile devices like smartphones and tablets. Dynamic voltage and frequency scaling (DVFS) is a common technique for reducing the processing power. However, highly variable and non-deterministic workload characteristics of mobile games mandate sophisticated workload prediction models to predict low-utilization phases of games during which the processor's frequency can be decreased to save energy. While prior works exhibit significant improvements, one main question is left open: How large is the gap between the developed techniques and the theoretically optimal power manager, i.e., a power manager which exactly knows the future workload and, hence, can select the optimal sequence of frequencies that minimizes the power consumption under given timing constraints. In this paper, we discuss that estimating the savings from such an optimal power manager is non-trivial due to the non-deterministic nature of games and the underlying system. In order to address this, we suggest a statistical model of the optimal power manager using which we estimate the potential savings of popular closed-source games. The results of our work have several implications: We reveal a significant gap between savings obtained from recently proposed game power managers and the theoretically optimum savings (up to 54.4 % energy savings are possible). Our work strongly motivates future research endeavors to minimize the gap between the optimum and the existing power managers.

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