面向手机游戏的内存感知协同CPU-GPU DVFS调控器

Chen-Ying Hsieh, Jurn-Gyu Park, N. Dutt, Sung-Soo Lim
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引用次数: 18

摘要

现代移动异构平台拥有集成了多核处理器的gpu,能够执行高端图像密集型游戏。然而,由于大量使用CPU-GPU资源,这些游戏应用程序消耗了大量的功率,这会耗尽对移动设备至关重要的电池资源。虽然动态电压和频率缩放(DVFS)技术之前已经被用于动态电源管理,但现代技术并不能完全利用图形密集型游戏应用的内存访问足迹,从而错失了提高能源效率的机会。在本文中,我们首次提出了一种内存感知的CPU-GPU合作DVFS调控器,该调控器既考虑内存访问占用,又考虑CPU/GPU频率,以提高高端移动游戏工作负载的能效。我们的实验结果表明,与默认调控器和最先进的游戏调控器相比,我们提出的游戏调控器在性能略有下降的情况下,平均实现了13%和5%的能效提高。
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Memory-aware cooperative CPU-GPU DVFS governor for mobile games
Modern mobile heterogeneous platforms have GPUs integrated with multicore processors to enable execution of highend graphics-intensive games. However, these gaming applications consume significant power due to heavy utilization of CPU-GPU resources, which drains battery resources that are critical for mobile devices. While Dynamic Voltage and Frequency Scaling (DVFS) techniques have been exploited previously for dynamic power management, contemporary techniques do not fully exploit the memory access footprint for graphics-intensive gaming applications, missing opportunities for energy efficiency. In this paper, we for the first time propose a memory-aware cooperative CPU-GPU DVFS governor that considers both the memory access footprint as well as the CPU/GPU frequency to improve energy efficiency of high-end mobile game workloads. Our experimental results show that our proposed game governor achieves on average 13% and 5% improvement of energy efficiency with minor degradation of performance compared to default governors and state-of-the-art game governors.
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