Fault-Tolerant Spiking Neural Network Mapping Algorithm and Architecture to 3D-NoC-Based Neuromorphic Systems
Neuromorphic computing uses spiking neuron network models to solve machine learning problems in a more energy-efficient way when compared to conventional artificial neural networks. However, mapping the various network components to the neuromorphic hardware is not trivial to realize the desired mod...
Main Authors: | Williams Yohanna Yerima, Ogbodo Mark Ikechukwu, Khanh N. Dang, Abderazek Ben Abdallah |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2023-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10130549/ |
Similar Items
-
Spike-Event X-ray Image Classification for 3D-NoC-Based Neuromorphic Pneumonia Detection
by: Jiangkun Wang, et al.
Published: (2022-12-01) -
R-MaS3N: Robust Mapping of Spiking Neural Networks to 3D-NoC-Based Neuromorphic Systems for Enhanced Reliability
by: Williams Yohanna Yerima, et al.
Published: (2023-01-01) -
HeterGenMap: An Evolutionary Mapping Framework for Heterogeneous NoC-Based Neuromorphic Systems
by: Khanh N. Dang, et al.
Published: (2023-01-01) -
Tolerating Permanent Faults in the Input Port of the Network on Chip Router
by: Hala J. Mohammed, et al.
Published: (2019-02-01) -
Internal stakeholders perspectives in a cultural event: The Case of Noc Noc, Guimarães - Portugal
by: Marisa R. Ferreira, et al.
Published: (2015-03-01)