瞬态计算系统中状态保持的节能内存跟踪

Theodoros D. Verykios, Domenico Balsamo, G. Merrett
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摘要

瞬态计算系统,也称为间歇计算系统,是由能量收集(EH)源供电的无电池系统,不需要为系统运行存储大量能量。相反,它们依赖于在停电时在非易失性存储器(NVM)中保留其状态,即快照,并在电源恢复时恢复它。在本文中,我们首先讨论了试图将保存到NVM的系统状态量最小化的最新技术的局限性。因此,我们提出了一种新的节能系统级方法,通过基于名为MeTra的自定义硬件模块的内存跟踪来保持状态,该模块可以跟踪断电期间主(易失性)内存的变化。MeTra允许根据每个快照的能量需求动态调整激活状态保持过程的电压阈值。因此,收获的能量的很大一部分可以用于有用的操作。实验结果表明,与保存整个系统状态相比,基于flash的系统活动时间可延长17倍,基于fram的系统活动时间可延长92.2%,而面积开销仅为2.48%。
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Energy-Efficient Memory Tracing for State Retention in Transient Computing Systems
Transient computing systems, also known as intermittent computing systems, are batteryless systems powered by energy harvesting (EH) sources that do not require large energy storage for system operations. Instead, they rely on retaining their state, i.e. a snapshot, in non-volatile memory (NVM) in the event of a power outage and restoring it when the power recovers. In this paper, we first discuss the limitations of state-of-the-art techniques that attempt to minimize the amount of system state saved to NVM. Therefore, we propose a novel energy-efficient system-level approach for state retention through memory tracing based on a custom hardware module named MeTra that traces changes in the main (volatile) memory between power outages. MeTra allows the voltage threshold that activates the state retention process to be dynamically adjusted according to the energy requirement of each snapshot. Thus, a great proportion of the energy harvested can be spent on useful operations. Experimental results show that the system’s active time can be extended up to 17x for Flash-based systems and 92.2% for FRAM-based systems, compared to saving the entire system state, with an area overhead of as little as 2.48%.
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