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An Ultra-Low Cost and Multicast-Enabled Asynchronous NoC for Neuromorphic Edge Computing
- Source :
- IEEE Journal of Emerging and Selected Topics in Circuits and Systems; September 2024, Vol. 14 Issue: 3 p409-424, 16p
- Publication Year :
- 2024
-
Abstract
- Biological brains are increasingly taken as a guide toward more efficient forms of computing. The latest frontier considers the use of spiking neural-network-based neuromorphic processors for near-sensor data processing, in order to fit the tight power and resource budgets of edge computing devices. However, a prevailing focus on brain-inspired computing and storage primitives in the design of neuromorphic systems is currently bringing a fundamental bottleneck to the forefront: chip-scale communications. While communication architectures (typically, a network-on-chip) are generally inspired by, or even borrowed from, general purpose computing, neuromorphic communications exhibit unique characteristics: they consist of the event-driven routing of small amounts of information to a large number of destinations within tight area and power budgets. This article aims at an inflection point in network-on-chip design for brain-inspired communications, revolving around the combination of cost-effective and robust asynchronous design, architecture specialization for short messaging and lightweight hardware support for tree-based multicast. When validated with functional spiking neural network traffic, the proposed NoC delivers energy savings ranging from 42% to 71% over a state-of-the-art NoC used in a real multi-core neuromorphic processor for edge computing applications.
Details
- Language :
- English
- ISSN :
- 21563357
- Volume :
- 14
- Issue :
- 3
- Database :
- Supplemental Index
- Journal :
- IEEE Journal of Emerging and Selected Topics in Circuits and Systems
- Publication Type :
- Periodical
- Accession number :
- ejs67445175
- Full Text :
- https://doi.org/10.1109/JETCAS.2024.3433427