Mapping Spiking Neural Networks to Neuromorphic Hardware

Adarsha Balaji,Anup Das,Yuefeng Wu,Khanh Huynh, Francesco G. Dell’Anna,Giacomo Indiveri,Jeffrey L. Krichmar,Nikil D. Dutt,Siebren Schaafsma,Francky Catthoor

IEEE Transactions on Very Large Scale Integration (VLSI) Systems（2020）

引用 113|浏览2

暂无评分

摘要

Neuromorphic hardware implements biological neurons and synapses to execute a spiking neural network (SNN)-based machine learning. We present SpiNeMap, a design methodology to map SNNs to crossbar-based neuromorphic hardware, minimizing spike latency and energy consumption. SpiNeMap operates in two steps: SpiNeCluster and SpiNePlacer. SpiNeCluster is a heuristic-based clustering technique to parti...

查看译文

关键词

Synapses,Hardware,Neurons,Neuromorphics,Energy consumption,Distortion,Design methodology

AI 理解论文

溯源树

样例

生成溯源树，研究论文发展脉络

Chat Paper

正在生成论文摘要