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Automatic frame rate-based DVFS of game

机译:基于自动帧速率的游戏DVFS

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The rapid development of mobile games highlights the power consumption problem in the mobile platform. Most of the power saving techniques use the prediction-based dynamic voltage frequency scaling (DVFS) scheme. However, the prediction could be inaccurate resulting from the frequent interactions of user when playing games. We have observed that frame rate is near-linear to CPU frequency, but there is a bottleneck, frame rate will not increase as CPU frequency increases when CPU frequency reaches this threshold. Moreover, previous research has shown that utilizing the information of game state can reduce the influence of game interactive characterization to DVFS policy. We explore a method to automatically detect the game state. We propose the Automatic Frame Rate-Based DVFS policy, which can learn the threshold of frame rate online and utilize the information of game state and frame rate to scale the frequency without prediction. Our evaluation result shows that, compared with the prediction-based Android default Interactive DVFS policy, our policy saves more power in all the testing games. Up to 15.2% more power can be saved by Automatic Frame Rate-Based DVFS policy.
机译:移动游戏的快速发展突出了移动平台的功耗问题。大多数省电技术都使用了基于预测的动态电压频率缩放(DVFS)方案。然而,由于用户在玩游戏时频繁的互动,预测可能是不准确的。我们观察到帧速率与CPU频率接近线性,但有一个瓶颈,当CPU频率达到该阈值时CPU频率增加,帧速率不会增加。此外,以前的研究表明,利用游戏状态的信息可以减少游戏交互式表征对DVFS策略的影响。我们探索自动检测游戏状态的方法。我们提出了基于自动帧速率的DVFS策略,它可以在线学习帧速率的阈值,并利用游戏状态和帧速率的信息来缩放频率而无需预测。我们的评估结果表明,与基于预测的Android默认交互式DVFS策略相比,我们的策略在所有测试游戏中节省了更多的电力。最高可通过基于自动帧速率的DVFS策略保存高达15.2%的电源。

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