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An energy-efficient nonvolatile microprocessor considering software-hardware interaction for energy harvesting applications

机译:一种考虑软件与硬件交互的节能型非易失性微处理器,用于能量收集应用

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Normally-off computing (NoC) systems have constantly-off and instantly-on characteristics, leading to considerably lower idle power consumption than other low-power systems. This paper proposes a software procedure and two system hardware design optimization methods, namely a programmable restore entry decision for increasing system recovery correctness and nonvolatile (NV) storage reduction with selective backup system states and selective store. Thus, NV microprocessors (NV-μPs) can reduce the energy and area overhead. The proposed NV-μP uses a 90-nm MSP430-compatible μP embedded with resistive random-access memory. The proposed NV-μP was compared with three state-of-the-art NV-μP methods: full replacement, parallel compare and compress codec, and NV logic array. Compared with the three methods, the proposed software procedure significantly increased the restore correctness to achieve 100% stability for realistic electrocardiography applications. Regarding hardware, the system store energy was reduced by at least 23.7%, compared with the three approaches. In contrast to the full replacement approach, the area overhead was reduced by 42%.
机译:常关节计算(NOC)系统具有持续的和瞬间的特性,导致比其他低功耗系统相当较低的空闲功耗。本文提出了一种软件程序和两个系统硬件设计优化方法,即可编程恢复入门决定,用于增加系统恢复正确性和非易失性(NV)存储减少与选择性备份系统状态和选择存储。因此,NV微处理器(NV-μPS)可以减小能量和面积开销。所提出的NV-μp使用具有电阻随机存取存储器的90-nm msp430兼容的μp。将所提出的NV-μp与三种最先进的NV-μp方法进行比较:完全更换,并行比较和压缩编解码器和NV逻辑阵列。与三种方法相比,所提出的软件程序显着提高了恢复正确性,以实现逼真的心电图应用100%稳定性。关于硬件,与三种方法相比,系统储存能量减少了至少23.7%。与完全替代方法相比,面积开销减少了42%。

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