Broadcast and Weight: An Integrated Network For Scalable Photonic Spike Processing
Broadcast and Weight: An Integrated Network For Scalable Photonic Spike Processing
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DOI：
10.1109/jlt.2014.2345652
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发表时间：
2014-11-01
影响因子：
4.7
通讯作者：
Prucnal, Paul R.
中科院分区：
文献类型：
--
作者：
Tait, Alexander N.;Nahmias, Mitchell A.;Prucnal, Paul R.
我们提出了一种片上光学架构，以支持高性能尖峰激光神经元之间的大规模并行通信。描述了网络协议、计算元件和波导介质的设计，并考虑了与光片上网络、神经网络和计算中的先前研究有关的新方法。广播和权重是一种结合神经形态处理和光电物理的新方法，这种配对被发现可以产生各种有利的特征。我们讨论的属性和可扩展的波长复用和生物相关的组织能力的架构的设计考虑，除了方面的实际可行性。鉴于最近的发展，商业光子系统集成和神经形态计算，我们建议，一种新的方法来光子尖峰处理代表了一个很有前途的机会，在非常规计算。
We propose an on-chip optical architecture to support massive parallel communication among high-performance spiking laser neurons. Designs for a network protocol, computational element, and waveguide medium are described, and novel methods are considered in relation to prior research in optical on-chip networking, neural networking, and computing. Broadcast-and-weight is a new approach for combining neuromorphic processing and optoelectronic physics, a pairing that is found to yield a variety of advantageous features. We discuss properties and design considerations for architectures for scalable wavelength reuse and biologically relevant organizational capabilities, in addition to aspects of practical feasibility. Given recent developments commercial photonic systems integration and neuromorphic computing, we suggest that a novel approach to photonic spike processing represents a promising opportunity in unconventional computing.