Ultra-Low-Power Processors

被引：0

作者：

Brooks, David ^{[1
]}

Sartori, John ^{[2
]}

机构：

[1] Harvard Univ, Comp Sci, Cambridge, MA 02138 USA

[2] Univ Minnesota, Minneapolis, MN 55455 USA

来源：

IEEE MICRO | 2017年 / 37卷 / 06期

关键词：

beyond-CMOS; cognitive computing; convolutional neural network; edge computing device; flying IoT; Internet of Things; security; stochastic computing; system on chip; ultra-low power; visual IoT;

D O I：

10.1109/MM.2017.4241352

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Society's increasing use of connected sensing and wearable computing has created robust demand for ultra-low-power (ULP) edge computing devices and associated system-on-chip (SoC) architectures. In fact, the ubiquity of ULP processing has already made such embedded devices the highest-volume processor part in production, with an even greater dominance expected in the near future. The Internet of Everything calls for an embedded processor in every object, necessitating billions or trillions of processors. At the same time, the explosion of data generated from these devices, in conjunction with the traditional model of using cloud-based services to process the data, will place tremendous demands on limited wireless spectrum and energy-hungry wireless networks. Smart, ULP edge devices are the only viable option that can meet these demands. © 1981-2012 IEEE.

引用

页码：16 / 19

页数：4

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