RAVEN: Perception-aware Optimization of Power Consumption for Mobile Games
RAVEN: Perception-aware Optimization of Power Consumption for Mobile Games
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DOI：
10.1145/3117811.3117841
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发表时间：
2017-10
期刊：
影响因子：
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通讯作者：
Chanyou Hwang;Saumay Pushp;C. Koh;Jungpil Yoon;Yunxin Liu;Seungpyo Choi;Junehwa Song
中科院分区：
文献类型：
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作者：
Chanyou Hwang;Saumay Pushp;C. Koh;Jungpil Yoon;Yunxin Liu;Seungpyo Choi;Junehwa Song
高端移动GPU现在已成为移动设备不可或缺的一部分。但是，移动GPU构成了设备上功耗的主要部分，而手机游戏则是最受欢迎的图形应用程序类别。本文介绍了Raven的设计和实施，Raven是一种用于移动游戏应用程序的新颖的，即时的帧速率扩展系统。 Raven利用人类对图形变化的视觉感知，可以在不降低用户体验的情况下机会省力。该系统开发了一种轻量级的框架比较技术，以测量和预测感知感知的框架相似性。它还构建了一个低分辨率虚拟显示屏，该显示器以低功率成本执行相似性测量的设备屏幕。它能够在现有的商业智能手机上工作，并支持应用商店的应用程序，而无需进行任何修改。它已在Nexus 5X上实施，其性能已通过13场比赛进行了测量。该系统有效地降低了移动设备的整体功耗，同时保持了令人满意的用户体验。平均年龄的功耗降低了21.78％，最高34.74％。
High-end mobile GPUs are now becoming an integral part of mobile devices. However, a mobile GPU constitutes a major portion of power consumption on the devices, and mobile games top as the most popular class of graphics applications. This paper presents the design and implementation of RAVEN, a novel, on-the-fly frame rate scaling system for mobile gaming applications. RAVEN utilizes human visual perception of graphics change to opportunistically achieve power saving without degrading user experiences. The system develops a light-weight frame comparison technique to measure and predict perception-aware frame similarity. It also builds a low resolution virtual display which clones the device screen for performing similarity measurement at a low-power cost. It is able to work on an existing commercial smartphone and support applications from app stores without any modifications. It has been implemented on Nexus 5X, and its performance has been measured with 13 games. The system effectively reduces the overall power consumption of mobile devices while maintaining satisfactory user experiences. The power consumption is reduced by 21.78% on aver-age and up to 34.74%.