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 - Oct 2, 2020Complete and submit paper of AEBIS
Oct 3 - Nov 15, 2020Investigate the optimization of AEBIS and extend the work
Nov 16 - December 31, 2020Complete and submit paper of extended version of AEBIS
January 1 - January 24, 2021Understand K-means based Multicast Routing Algorithm and Architecture for 3D SNN NoC. Conduct a short survey about SNN mapping. See this opensource mapping sim https://github.com/drexel-DISCO/SpineMap and the author's paper
Januray 25 - February 28, 2021Propose an efficient (Possible target: low-latency, High-accuracy-->QoS) 3D QoS CMR (Clustering-Mapping-Routing) algorithm
March 1 - Mid of April, 2020Write and submit a paper of new 3D QoS CMR algorithm
Mid of April - May 9, 2021Evaluate with other biology (biomedical) applications
May 10 - June 6, 2021Write and submit a paper of AIRBiS system
June 7 - July 31, 2021Implement the new QoS CMR algorithm on hardware
August 1 - Mid of September, 2021Write and submit a paper of hardware version
Mid of September - October 31, 2021Study and propose a new fault-tolerant algorithm for multi-core 3D-NoC systems
November 1 - Mid of December, 2021Write and submit a paper for new fault-tolerant algorithm
Mid of December - January 31, 2022Implement an EV reservation prediction system using SNN (or CNN) on hardware implementation
February 1 - February 28, 2022Testing the system and prepare a paper
March 1 - Mid of April, 2022Investigate other bio-related topics and edge-computing system
Mid of April - June 31, 2022Prepare and submit a paper
Schedule last Updated on: October/2/2020
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Research Progress ===> previous tasks†

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Task 2†

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Task 3†

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My Shared Google Drive Folder†

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Site update†

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