论文标题
部分可观测时空混沌系统的无模型预测
An Efficient NVM based Architecture for Intermittent Computing under Energy Constraints
论文作者
论文摘要
无电池技术进化以取代电池技术。探索了基于非挥发性内存（NVM）的处理器，以在功率故障期间存储程序状态。电容器中存储的能量在电源故障期间用于备份。由于电容器的尺寸是固定且有限的，因此电容器中的可用能量也受到限制和固定。因此，电容器能量不足以在频繁的功率故障期间存储整个程序状态。本文提出了一种体系结构，该体系结构可确保在能量限制下的电力故障期间安全替代挥发性内容。使用建议的脏块表（DBT）和写入队列（WBQ），此工作限制了在任何给定时间的L1缓存中的脏块数量。我们通过改变参数大小来进一步进行了一组实验，以帮助用户做出有关其能源需求的适当设计决策。拟议的结构将能源消耗降低了17.56％，与基线体系结构相比，LLC的写入数量在LLC时的写入数量为18.97％，在主要记忆水平上的撰写数量为10.66％。
Battery-less technology evolved to replace battery technology. Non-volatile memory (NVM) based processors were explored to store the program state during a power failure. The energy stored in a capacitor is used for a backup during a power failure. Since the size of a capacitor is fixed and limited, the available energy in a capacitor is also limited and fixed. Thus, the capacitor energy is insufficient to store the entire program state during frequent power failures. This paper proposes an architecture that assures safe backup of volatile contents during a power failure under energy constraints. Using a proposed dirty block table (DBT) and writeback queue (WBQ), this work limits the number of dirty blocks in the L1 cache at any given time. We further conducted a set of experiments by varying the parameter sizes to help the user make appropriate design decisions concerning their energy requirements. The proposed architecture decreases energy consumption by 17.56%, the number of writes to NVM by 18.97% at LLC, and 10.66% at a main-memory level compared to baseline architecture.
