纳米时代从摩尔到人工智能的低功耗设计:特邀论文

R. Joshi, M. Ziegler
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引用次数: 0

摘要

本文回顾了从摩尔时代到人工智能时代所需的低功耗技术的关键发展和延续。SRAM具有更广泛的工作范围,从极低电压到高电压,使用新颖的电路技术实现,并用于边缘或数据中心加速器。这些技术利用互连以及电感和电容耦合来按需增压。一些采用14nm SOI技术制造的芯片显示功能8T SRAM降至0.24V-0.30V。这些新技术可以为物联网和数据中心应用带来认知和神经网络的更低电压运行。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Low Power Design From Moore to AI for nm Era : Invited Paper
This paper reviews key developments and the continuation of low power techniques needed from the Moore to AI eras. SRAM with a wider range of operation, from extreme low to high voltages, is enabled using novel circuit techniques and demonstrated for edge or data centric accelerators. These techniques exploit interconnect as well as inductor and capacitor coupling for boosting on demand. Several chips fabricated in 14nm SOI technology show functional 8T SRAM down to 0.24V–0.30V These new techniques can lead to lower voltage operation of cognitive and neural network for IoT and data centric applications.
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