scholarly journals Fault-Tolerant Spike Routing Algorithm and Architecture for Three Dimensional NoC-Based Neuromorphic Systems

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 90436-90452 ◽  
Author(s):  
The H. Vu ◽  
Ogbodo Mark Ikechukwu ◽  
Abderazek Ben Abdallah
Keyword(s):  
Fault Tolerant ◽  
Routing Algorithm ◽  
Three Dimensional ◽  
Neuromorphic Systems

scholarly journals Architecture and Design of a Spiking Neuron Processor Core Towards the Design of a Large-scale Event-Driven 3D-NoC-based Neuromorphic Processor

2020 ◽  
Vol 77 ◽  
pp. 04003
Author(s):  
Mark Ogbodo ◽  
Khanh Dang ◽  
Fukuchi Tomohide ◽  
Abderazek Abdallah
Keyword(s):  
Low Power ◽  
Large Scale ◽  
Fault Tolerant ◽  
Three Dimensional ◽  
Spiking Neuron ◽  
Chip Area ◽  
Processor Core ◽  
Neuromorphic Systems ◽  
Event Driven ◽  
On Chip

Neuromorphic computing tries to model in hardware the biological brain which is adept at operating in a rapid, real-time, parallel, low power, adaptive and fault-tolerant manner within a volume of 2 liters. Leveraging the event driven nature of Spiking Neural Network (SNN), neuromorphic systems have been able to demonstrate low power consumption by power gating sections of the network not driven by an event at any point in time. However, further exploration in this field towards the building of edge application friendly agents and efficient scalable neuromorphic systems with large number of synapses necessitates the building of small-sized low power spiking neuron processor core with efficient neuro-coding scheme and fault tolerance. This paper presents a spiking neuron processor core suitable for an event-driven Three-Dimensional Network on Chip (3D-NoC) SNN based neuromorphic systems. The spiking neuron Processor core houses an array of leaky integrate and fire (LIF) neurons, and utilizes a crossbar memory in modelling the synapses, all within a chip area of 0.12mm2 and was able to achieves an accuracy of 95.15% on MNIST dataset inference.

An efficient fault-tolerant routing algorithm in NoCs to tolerate permanent faults

2016 ◽  
Vol 72 (12) ◽  
pp. 4629-4650 ◽  
Author(s):  
Reza Akbar ◽  
Ali Asghar Etedalpour ◽  
Farshad Safaei
Keyword(s):  
Fault Tolerant ◽  
Routing Algorithm ◽  
Permanent Faults

scholarly journals Three-Dimensional Indoor Fire Evacuation Routing

2020 ◽  
Vol 9 (10) ◽  
pp. 558
Author(s):  
Yan Zhou ◽  
Yuling Pang ◽  
Fen Chen ◽  
Yeting Zhang
Keyword(s):  
Routing Algorithm ◽  
Three Dimensional ◽  
Indoor Navigation ◽  
A Algorithm ◽  
Indoor Space ◽  
Navigation Algorithms ◽  
Fire Evacuation ◽  
Fire Scene ◽  
Evacuation Routing ◽  
Evacuation Route

Traditional indoor navigation algorithms generally only consider the geometrical information of indoor space. However, the environmental information and semantic parameters of a fire are also important for evacuation routing in the case of a fire. It is difficult for traditional indoor navigation algorithms to dynamically find an indoor path when a fire develops. To address this problem, we developed a multi-semantic constrained three-dimensional (3D) indoor fire evacuation routing method that considers multi-dimensional indoor fire scene-related semantics, such as path accessibility, path recognition degree, and fire parameters. Our method enhances the navigation semantics of indoor space by extending the fire-related components of indoor model based on IndoorGML and integrating location semantics of IndoorLocationGML. We also propose quantifiable indoor fire-oriented routing semantics and establish a navigation cost function that evaluates semantic changes during a fire. We designed an indoor routing algorithm with multiple semantic constraints based on the A* algorithm. The indoor routing results were analyzed and compared in simulation experiments. The experimental results showed that the proposed model can remove unusable nodes and edges from the obtained navigation path and provides a safer and more effective evacuation route than traditional algorithms.

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