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The SpiNNaker Project

delete2014-05-01
delete953
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OA
AI
S
Steve Furber *
F
Francesco Galluppi
S
Steve Temple
L
Luis A. Plana
DOI:10.1109/JPROC.2014.2304638delete
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摘要

摘要

En 中文
The spiking neural network architecture (SpiNNaker) project aims to deliver a massively parallel million-core computer whose interconnect architecture is inspired by the connectivity characteristics of the mammalian brain, and which is suited to the modeling of large-scale spiking neural networks in biological real time. Specifically, the interconnect allows the transmission of a very large number of very small data packets, each conveying explicitly the source, and implicitly the time, of a single neural action potential or spike.'' In this paper, we review the current state of the project, which has already delivered systems with up to 2500 processors, and present the real-time event-driven programming model that supports flexible access to the resources of the machine and has enabled its use by a wide range of collaborators around the world.
Keyword:
Brain modeling
multicast algorithms
multiprocessor interconnection networks
neural network hardware
parallel programming

期刊

Proceedings of the IEEE 封面图
Proceedings of the IEEE
IF:
25.9
论文数:
9.9K
被引数:
4.5W

机构

U
University of Manchester
学者数:
5.7W
论文数: 5.3W
被引数: 7.4W
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