Reconfigurable Dataflow Optimization for Spatiotemporal Spiking Neural Computation on Systolic Array Accelerators

Spiking neural networks (SNNs) offer a promising biologically-plausible computing model and lend themselves to ultra-low-power event-driven processing on neuromorphic processors. Compared with the conventional artificial neural networks, SNNs are well-suited for processing complex spatiotemporal dat...

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Bibliographic Details

Published in:	Proceedings - IEEE International Conference on Computer Design pp. 57 - 64
Main Authors:	Lee, Jeong-Jun, Li, Peng
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.10.2020
Subjects:	dataflow hardware accelerator neuromorphic computing spiking neural networks systolic array
ISSN:	2576-6996
Online Access:	Get full text
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