间歇计算的动态电压和频率缩放

Andrea Maioli, Kevin A. Quinones, Saad Ahmed, Muhammad H. Alizai, Luca Mottola
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引用次数: 0

摘要

我们介绍了智能调节间歇式计算设备的电源电压和时钟频率的硬件/软件技术。这些设备依靠环境能量收集为其运行提供动力,并使用小型电容器作为能量缓冲器。静态设置其时钟频率无法捕捉到这些设备在电容器电压、给定工作频率下的能效以及相应工作范围之间的独特关系。现有的动态电压和频率缩放技术也因能量极度匮乏和特殊的硬件特性而大多不适用。我们介绍了两种硬件/软件协同设计,它们能适应不同的硬件特性,并在受限的能量包络线内运行,提供不同的权衡和功能。我们的实验评估包括定制硬件测试和详细的模拟实验。收集到的数据表明,与所考虑的基线相比,我们的方法最多可将能耗降低 3.75 倍,执行时间缩短 12 倍,同时利用更小的电容器完成相同的工作负载。
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Dynamic Voltage and Frequency Scaling for Intermittent Computing
We present hardware/software techniques to intelligently regulate supply voltage and clock frequency of intermittently-computing devices. These devices rely on ambient energy harvesting to power their operation and small capacitors as energy buffers. Statically setting their clock frequency fails to capture the unique relations these devices expose between capacitor voltage, energy efficiency at a given operating frequency, and the corresponding operating range. Existing dynamic voltage and frequency scaling techniques are also largely inapplicable due to extreme energy scarcity and peculiar hardware features. We introduce two hardware/software co-designs that accommodate the distinct hardware features and function within a constrained energy envelope, offering varied trade-offs and functionalities. Our experimental evaluation combines tests on custom-manufactured hardware and detailed emulation experiments. The data gathered indicate that our approaches result in up to 3.75x reduced energy consumption and 12x swifter execution times compared to the considered baselines, all while utilizing smaller capacitors to accomplish identical workloads.
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