Spike(Event)-driven Scalable Homeostatic Neuromorphic System

Research Background†

Spiking neural networks (SNNs) are artificial neural network models that more closely mimic biological neural networks. In addition to neuronal and synaptic state, SNNs incorporate the variant time scale into their computational model. Since each neuron in these networks is connected to thousands of others, high bandwidth is required. Moreover, since the spike times are used to encode information in SNN, very low communication latency is also needed. The 2D-NoC was used as a solution to provide a scalable interconnection fabric in large-scale parallel SNN systems. The 3D-ICs have also attracted a lot of attention as a potential solution to resolve the interconnect bottleneck. The combination of these two emerging technologies provides a new horizon for IC designs to satisfy the high requirements of low power and small footprint in emerging AI applications...more

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Research Goal†

Research about an event-driven scalable neuromorphic system for edge computing.

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Research Schedule†

DateTask
☑️January 1st - March 31, 2020Running Demos and study of SW/HW tools
☑️April 1st - Jun 21, 2020SNN Learning Algorithms Survey
Jun 22 - September 11, 2020Complete and submit paper of Blockchain-related VPP
September 12 - September 31, 2020Understand K-means based Multicast Routing Algorithm and Architecture for 3D SNN NoC and conduct a survey about mapping
October 1 - October 31, 2020Propose a new 3D QoS CMR algorithm
November 1 - Mid of December, 2020Write and submit a paper of new 3D QoS CMR algorithm
Mid of December - January 31, 2021Evaluate with other biology (biomedical) applications
February 1 - March 20, 2021Write and submit a paper of AIRBiS system
March 21 - May 31, 2021Implement the new QoS CMR algorithm on hardware
June 1 - Mid of July, 2021Write and submit a paper of hardware version
Mid of July - August 31, 2021Study and propose a new fault-tolerant algorithm for multi-core 3D-NoC systems
September 1 - Mid of October, 2021Write and submit a paper for new fault-tolerant algorithm
Mid of October - November 30, 2021Implement an EV reservation prediction system using SNN (or CNN) on hardware implementation
December 1 - December 31, 2021Testing the system and prepare a paper
January 1 - Mid of March, 2022Investigate other bio-related topics and edge-computing system
Mid of March - June 31, 2022Prepare and submit a paper
Schedule last Updated on: 08/27/2020
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Research Progress ===> previous tasks†

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Task 2†

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My Shared Google Drive Folder†

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Site update†

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