FPGA-based neuromorphic computing system with a scalable routing network

被引：0
|
作者：
Wang, Dong [1 ]
Deng, Lei [1 ]
Tang, Pei [1 ]
Ma, Cheng [1 ]
Pei, Jing [1 ]
机构：
[1] Tsinghua Univ, Dept Precis Instrument, CBICR, Beijing, Peoples R China
来源：
2015 15TH NON-VOLATILE MEMORY TECHNOLOGY SYMPOSIUM (NVMTS) | 2015年
关键词：
Neuromorphic; FPGA; Multi-core; Neural network; Routing network;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper, the design and FPGA implementation of a multi-core neuromorphic computing system is presented. This system consists of several computing cores that are connected through an on-chip routing network. Each core is capable of the computation of a 2-layer neural network with a variable number of axon inputs and neurons. This system was built on an Altera FPGA and then examined with a 3-layer RBM and a 5-layer DBN for handwritten digits recognition. Compared to an Intel Core i3 CPU, the multi-core system achieves higher computing speed despite of tiny loss of accuracy.
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页数：4
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