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Darwin: A neuromorphic hardware co-processor based on spiking neural networks.

Authors :
Ma, De
Shen, Juncheng
Gu, Zonghua
Zhang, Ming
Zhu, Xiaolei
Xu, Xiaoqiang
Xu, Qi
Shen, Yangjing
Pan, Gang
Source :
Journal of Systems Architecture. Jun2017, Vol. 77, p43-51. 9p.
Publication Year :
2017

Abstract

Spiking Neural Network (SNN) is a type of biologically-inspired neural networks that perform information processing based on discrete-time spikes, different from traditional Artificial Neural Network (ANN). Hardware implementation of SNNs is necessary for achieving high-performance and low-power. We present the Darwin Neural Processing Unit (NPU), a highly-configurable neuromorphic hardware co-processor based on SNN implemented with digital logic, supporting a configurable number of neurons, synapses and synaptic delays. The Darwin NPU was fabricated by standard 180 nm CMOS technology with area size of 5 × 5 mm 2 and 70 MHz clock frequency at the worst case. It consumes 0.84 mW/MHz with 1.8 V power supply for typical applications. Two prototype applications are used to demonstrate the performance and efficiency of the Darwin NPU. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
13837621
Volume :
77
Database :
Academic Search Index
Journal :
Journal of Systems Architecture
Publication Type :
Academic Journal
Accession number :
123504114
Full Text :
https://doi.org/10.1016/j.sysarc.2017.01.003