具有全局突触连通性的分层神经阵列体系结构中的可扩展事件路由

Siddharth Joshi, Steve Deiss, Mike Arnold, Jongkil Park, Theodore Yu, Gert Cauwenberghs
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引用次数: 37

摘要

提出了一种用于大规模神经形态硬件中峰值事件可扩展路由的异步通信方案。该路由方案将用于峰值事件通信的地址-事件表示(AER)协议扩展为模块化、分层架构,支持在不同空间尺度上跨消息解析轴突中继节点的细胞矩阵有效实现全局突触互连。本文提出了一个概率框架,用于分析突触通信的吞吐量和延迟作为负载和几何的函数的权衡,并通过仿真结果验证了跨架构的流量统计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Scalable event routing in hierarchical neural array architecture with global synaptic connectivity
An asynchronous communication scheme for scalable routing of spike events in large-scale neuromorphic hardware is presented. The routing scheme extends the Address-Event Representation (AER) protocol for spike event communication to a modular, hierarchical architecture supporting efficient implementation of global synaptic inter-connectivity across a cellular matrix of message parsing axonal relay nodes at varying spatial scales. This paper presents a probabilistic framework for analyzing trade-offs in throughput and latency of synaptic communication as a function of load and geometry, and simulation results verifying the statistics of traffic flow across the architecture.
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