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Prototyping Energy Harvesting Powered Systems with Nonvolatile Processor (Invited Paper)

机译:利用非易失性处理器对能量收集供电系统进行原型设计(邀请论文)

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Energy harvesting is a promising solution to power ubiquitous Internet-of-Things (IoT) devices. But the frequent and inevitable power failure incurs significant backup overhead, greatly degrading performance and energy efficiency. Nonvolatile processor (NVP), which can checkpoint processor states, is designed to tackle this problem. The conventional system-level design method involves repeated system modification and verification on hardware, in which measurement on hardware consumes the majority time. To expedite the NVP-based system design process, we propose a rapid system prototyping flow to eliminate repeated hardware measurement in the design flow. This method involves an NVP system-level simulator, which takes the harvester power trace, system characteristics extracted from hardware, and user design as the input, and analyzes system energy and time profile under this power trace. Iterative system optimization and verification are conducted on the simulator, with only the final verification on hardware. We demonstrate the advantages of this method by two design cases, in which time, energy efficiency and the impact of different capacitor size are optimized.
机译:能量收集是为无处不在的物联网(IoT)设备供电的有前途的解决方案。但是频繁且不可避免的电源故障会导致大量的备用开销,从而大大降低性能和能效。可以检查点处理器状态的非易失性处理器(NVP)旨在解决此问题。常规的系统级设计方法涉及到反复的系统修改和硬件验证,其中硬件测量花费了大部分时间。为了加快基于NVP的系统设计过程,我们提出了一种快速的系统原型制作流程,以消除设计流程中重复的硬件测量。此方法涉及NVP系统级模拟器,该模拟器以收割机的功率跟踪,从硬件中提取的系统特性以及用户设计为输入,并在此功率跟踪下分析系统能量和时间曲线。迭代系统优化和验证是在模拟器上进行的,而最终验证仅在硬件上进行。我们通过两个设计案例证明了该方法的优势,其中时间,能效和不同电容器尺寸的影响都得到了优化。

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