超摩尔计算体系结构的形态原子交换网络

2015 IEEE International Interconnect Technology Conference and 2015 IEEE Materials for Advanced Metallization Conference (IITC/MAM) Pub Date : 2015-05-18 DOI:10.1109/IITC-MAM.2015.7325611

Renato Aguilera, Eleanor Demis, Kelsey S. Scharnhorst, A. Stieg, M. Aono, J. Gimzewski

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引用次数: 1

摘要

我们讨论了自动神经网络作为一个独特的可扩展的物理平台的效用，能够混合cmos架构和新颖的计算。通过控制设计与自发自组织的结合，原子交换网络(ASN)作为一种专门构建的复杂系统得以产生。ASN是一个高度互连的Ag2S电阻开关系统，已被证明可以产生容错开关和一组类似于生物神经网络的复杂动态。

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Morphic atomic switch networks for beyond-Moore computing architectures

We discuss the utility of ASNs as a uniquely scalable physical platform capable of hybrid-CMOS architectures and novel computation. Through a combination of controlled design with spontaneous self-organization, an atomic switch network (ASN) has been produce as a purpose-built complex system. A highly interconnected system of Ag2S resistive switches, the ASN has been shown to produce fault-tolerant switching and a set of complex dynamics similar to biological neural networks.

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来源期刊

2015 IEEE International Interconnect Technology Conference and 2015 IEEE Materials for Advanced Metallization Conference (IITC/MAM)

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