期刊
COMPUTER JOURNAL
卷 53, 期 3, 页码 280-288出版社
OXFORD UNIV PRESS
DOI: 10.1093/comjnl/bxp024
关键词
neural network; routing; event-driven; multicast; fault-tolerance
类别
资金
- UK Engineering and Physical Sciences Research Council [GR/S61270/01, EP/D07908x/1]
- ARM
- Silistix
- Royal Society-Wolfson Research Merit Award
- EPSRC [EP/D07908X/1] Funding Source: UKRI
- Engineering and Physical Sciences Research Council [EP/D07908X/1] Funding Source: researchfish
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.
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