A Multicast Routing Scheme for a Universal Spiking Neural Network Architecture

被引：14
|
作者：
Wu, Jian [1 ]
Furber, Steve [1 ]
机构：
[1] Univ Manchester, Sch Comp Sci, Adv Processor Technol Grp, Manchester M13 9PL, Lancs, England
来源：
COMPUTER JOURNAL | 2010年 / 53卷 / 03期
基金：
英国工程与自然科学研究理事会;
关键词：
neural network; routing; event-driven; multicast; fault-tolerance; SIMULATION;
D O I：
10.1093/comjnl/bxp024
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
A multicast routing infrastructure is proposed as a core feature of SpiNNaker, a massively parallel computer for the real-time simulation of large-scale spiking neural networks. The infrastructure is implemented using a communications router, based on an event-driven routing scheme, on each multicore processing node in the system. The design considerations emphasize the difference between the requirements of neural network communications and those of conventional computer networks and on-chip networks. The focus of the design is on neural modelling flexibility, power-efficiency, fault-tolerance and the communication throughput of the router.
引用
收藏
页码：280 / 288
页数：9
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