Intelligent hotspot prediction in networks-on-chip using spiking neural networks

Student thesis: Doctoral Thesis

Date of Award	May 2024
Original language	English
Supervisor	Jim Harkin (Supervisor), Liam Mc Daid (Supervisor) & Junxiu Liu (Supervisor)

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Research output
Exploring Spiking Neural Networks for Prediction of Traffic Congestion in Networks-on-Chip
Research output: Contribution to conference › Paper › peer-review
Case Study - Spiking Neural Network Hardware System for Structural Health Monitoring
Research output: Contribution to journal › Article › peer-review
Minimising Impact of Local Congestion in Networks-on-Chip Performance by Predicting Buffer Utilisation
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
LIPSFUS: A neuromorphic dataset for audio-visual sensory fusion of lip reading
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Spiking Neural Network-based Structural Health Monitoring Hardware System
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Predicting Networks-on-Chip traffic congestion with Spiking Neural Networks
Research output: Contribution to journal › Article › peer-review
Predicting Local Congestion at Fine-grain Levels in Networks-on-Chip Using Spiking Neural Networks
Research output: Contribution to conference › Paper › peer-review

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