Harideep Nair
Orcid: 0009-0008-8015-4339
According to our database1,
Harideep Nair
authored at least 20 papers
between 2019 and 2024.
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Bibliography
2024
TNNGen: Automated Design of Neuromorphic Sensory Processing Units for Time-Series Clustering.
IEEE Trans. Circuits Syst. II Express Briefs, May, 2024
Corrigendum: SemNet: Learning semantic attributes for human activity recognition with deep belief networks.
Frontiers Big Data, 2024
Tempus Core: Area-Power Efficient Temporal-Unary Convolution Core for Low-Precision Edge DLAs.
CoRR, 2024
OzMAC: An Energy-Efficient Sparsity-Exploiting Multiply-Accumulate-Unit Design for DL Inference.
CoRR, 2024
Commercial Evaluation of Zero-Skipping MAC Design for Bit Sparsity Exploitation in DL Inference.
Proceedings of the 32nd IFIP/IEEE International Conference on Very Large Scale Integration, 2024
NeRTCAM: CAM-Based CMOS Implementation of Reference Frames for Neuromorphic Processors.
Proceedings of the Neuro Inspired Computational Elements Conference, 2024
Exploration of Unary Arithmetic-Based Matrix Multiply Units for Low Precision DL Accelerators.
Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2024
Proceedings of the International Conference on Neuromorphic Systems, 2024
TNN-CIM: An In-SRAM CMOS Implementation of TNN-Based Synaptic Arrays with STDP Learning.
Proceedings of the 6th IEEE International Conference on AI Circuits and Systems, 2024
2023
tubGEMM: Energy-Efficient and Sparsity-Effective Temporal-Unary-Binary Based Matrix Multiply Unit.
Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2023
tuGEMM: Area-Power-Efficient Temporal Unary GEMM Architecture for Low-Precision Edge AI.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2023
2022
SemNet: Learning semantic attributes for human activity recognition with deep belief networks.
Frontiers Big Data, 2022
TNN7: A Custom Macro Suite for Implementing Highly Optimized Designs of Neuromorphic TNNs.
Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2022
2021
A Microarchitecture Implementation Framework for Online Learning with Temporal Neural Networks.
Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2021
Unsupervised Clustering of Time Series Signals Using Neuromorphic Energy-Efficient Temporal Neural Networks.
Proceedings of the IEEE International Conference on Acoustics, 2021
2020
Direct CMOS Implementation of Neuromorphic Temporal Neural Networks for Sensory Processing.
CoRR, 2020
2019
Proceedings of the 37th IEEE International Conference on Computer Design, 2019
AttriNet: learning mid-level features for human activity recognition with deep belief networks.
Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, 2019