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  • PUBLICATIONS [P]

    1. "Space-Time Algebra: A Model for Neocortical Computation,"
      James E. Smith, ISCA 2018. 

    2. "A Microarchitecture Implementation Framework for
      Online Learning with Temporal Neural Networks,      " Harideep Nair, John Paul Shen, & James E. Smith, ISVLSI 2021.

    3. "Unsupervised Clustering of Time Series Signals Using Neuromorphic Energy-Efficient Temporal Neural Networks," 
      Shreyas Chaudhari, Harideep Nair, Jose M.F. Moura, & John Paul Shen, ICASSP 2021.

    4. "TNN7: A Custom Macro Suite for Implementing Highly Optimized Designs of Neuromorphic TNNs," Harideep Nair, Prabhu Vellaisamy, Santha Bhasuthkar, & John Paul Shen, ISVLSI 2022.

    5. "tuGEMM: Area-Power-Efficient Temporal Unary GEMM Architecture for Low Resolution Edge AI," Harideep Nair, Prabhu Vellaisamy, Albert Chen, Joseph Finn, Anna Li, Manav Trivedi, and John Paul Shen, ISCAS 2023.

    6. "tubGEMM: Energy-Efficient and Sparsity-Effective Temporal-Unary-Binary Based Matrix Multiply Unit," Prabhu Vellaisamy, Harideep Nair, Joseph Finn, Manav Trivedi, Albert Chen, Anna Li, Tsung-Han Lin, Perry Wang, Shawn Blanton, and John Paul Shen, ISVLSI 2023.

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  • PRESENTATIONS [PR]

    1. "A Road Map for Reverse-Architecting the Brain's Neocortex," James E. Smith, FCRC Keynote 2019.     

    2. "Towards a Design Framework for TNN-Based Neuromorphic Sensory Processing Units," Prabhu Vellaisamy, & John Paul Shen, The 4th Young Architect Workshop (YArch'22), at ASPLOS 2022. https://web.mit.edu/yarch2022/

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  • RESEARCH NOTES [RN]

    1. "(Newtonian) Space-Time Algebra,"
      James E. Smith, 6/15/2019

    2. "A Macrocolumn Architecture Implemented with Spiking Neurons,"James E. Smith, 2/9/2023

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