Toward energy-aware balancing of mobile graphics

Stavrakis, Efstathios; Polychronis, Marios; Pelekanos, Nectarios; Artusi, Alessandro; Hadjichristodoulou, Panayiotis; Chrysanthou, Yiorgos

doi:10.1117/12.2079602

Cited by 4 publications

(2 citation statements)

References 6 publications

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“…Power limitations are specially relevant in GPUs for mobile devices, and power reduction techniques such as tiling architectures and data compression have been broadly explored [AMS08]. Stravrakis et al [SPP*15] employ dynamic voltage scaling based on framerate, and implement an energy‐aware balancing algorithm that dynamically selects the rendering parameters (geometrical complexity and texture resolution) to save power. Reducing the precision of arithmetic operations can also effectively reduce energy consumption in pixel shaders [PLS11].…”

Section: Related Workmentioning

confidence: 99%

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On‐the‐Fly Power‐Aware Rendering

Zhang

Ortín

Arellano

et al. 2018

Computer Graphics Forum

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Power saving is a prevailing concern in desktop computers and, especially, in battery‐powered devices such as mobile phones. This is generating a growing demand for power‐aware graphics applications that can extend battery life, while preserving good quality. In this paper, we address this issue by presenting a real‐time power‐efficient rendering framework, able to dynamically select the rendering configuration with the best quality within a given power budget. Different from the current state of the art, our method does not require precomputation of the whole camera‐view space, nor Pareto curves to explore the vast power‐error space; as such, it can also handle dynamic scenes. Our algorithm is based on two key components: our novel power prediction model, and our runtime quality error estimation mechanism. These components allow us to search for the optimal rendering configuration at runtime, being transparent to the user. We demonstrate the performance of our framework on two different platforms: a desktop computer, and a mobile device. In both cases, we produce results close to the maximum quality, while achieving significant power savings.

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Section: Related Workmentioning

confidence: 99%

“…To extend the limited battery life, energy saving becomes a primary goal [AMS08,JGDAM12]. A lot of research effort has recently been oriented towards characterising the power consumption of rendering algorithms and finding strategies to control the amount of expended energy [SPP*15,PLS11,APX14,WYM*16].…”

Section: Introductionmentioning

confidence: 99%