一种具有固有泄漏抑制功能的0.25V 460nW异步神经信号处理器

Tsung-Te Liu, J. Rabaey
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引用次数: 9

摘要

神经信号处理器利用异步定时策略来动态地减少泄漏,并自适应过程变化和不同的操作条件。基于内置泄漏抑制的逻辑拓扑,自定时处理器具有强大的亚阈值工作能力,低至0.25V,同时在0.03mm2的65nm CMOS技术中仅消耗460nW,与最先进的设计相比,功耗降低了4.4倍。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A 0.25V 460nW asynchronous neural signal processor with inherent leakage suppression
A neural signal processor exploits an asynchronous timing strategy to dynamically minimize leakage and to self-adapt to the process variations and different operating conditions. Based on a logic topology with built-in leakage suppression, the self-timed processor demonstrates robust sub-threshold operation down to 0.25V, while consuming only 460nW in 0.03mm2 in a 65nm CMOS technology, representing a 4.4X reduction in power compared to the state-of-the-art designs.
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