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Microarchitectural-level statistical timing models for near-threshold circuit design

机译:用于近阈值电路设计的微体系结构级统计时序模型

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Near-threshold computing has emerged as a promising solution for drastically improving the energy efficiency of microprocessors. This paper proposes architectural-level statistical static timing analysis (SSTA) models for the near-threshold voltage computing where the path delay distribution is approximated as a lognormal distribution. First, we prove several important theorems that help consider architectural design strategies for high performance and energy efficient near-threshold computing. After that, we show the numerical experiments with Monte Carlo simulations using a commercial 28-nm process technology model and demonstrate that the properties presented in the theorems hold for the practical near-threshold logic circuits.
机译:近阈值计算已成为一种有希望的解决方案,可以极大地提高微处理器的能效。本文提出了用于接近阈值电压计算的体系结构级统计静态时序分析(SSTA)模型,其中路径延迟分布近似为对数正态分布。首先,我们证明了几个重要的定理,这些定理有助于考虑用于高性能和高能效近阈值计算的体系结构设计策略。之后,我们展示了使用商用28纳米制程技术模型进行的蒙特卡洛模拟的数值实验,并证明了定理中给出的性质适用于实用的近阈值逻辑电路。

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