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Harideep Nair
Harideep Nair
在 andrew.cmu.edu 的电子邮件经过验证
标题
引用次数
引用次数
年份
A microarchitecture implementation framework for online learning with temporal neural networks
H Nair, JP Shen, JE Smith
2021 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 266-271, 2021
17*2021
AttriNet: Learning mid-level features for human activity recognition with deep belief networks
H Nair, C Tan, M Zeng, OJ Mengshoel, JP Shen
Adjunct proceedings of the 2019 acm international joint conference on …, 2019
122019
Unsupervised clustering of time series signals using neuromorphic energy-efficient temporal neural networks
S Chaudhari, H Nair, JMF Moura, JP Shen
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
102021
Hardware aware neural network architectures using FbNet
SVK Srinivas, H Nair, V Vidyasagar
arXiv preprint arXiv:1906.07214, 2019
92019
Tnn7: A custom macro suite for implementing highly optimized designs of neuromorphic tnns
H Nair, P Vellaisamy, S Bhasuthkar, JP Shen
2022 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 152-157, 2022
72022
Cortical columns computing systems: Microarchitecture model, functional building blocks, and design tools
JP Shen, H Nair
Neuromorphic Computing, 2023
52023
SemNet: Learning semantic attributes for human activity recognition with deep belief networks
S Venkatachalam, H Nair, M Zeng, CS Tan, OJ Mengshoel, JP Shen
Frontiers in big Data 5, 879389, 2022
52022
Freeflow core: Enhancing performance of in-order cores with energy efficiency
RK Choudhary, N Singh, H Nair, R Rawat, V Singh
2019 IEEE 37th International Conference on Computer Design (ICCD), 702-705, 2019
42019
tuGEMM: Area-Power-Efficient Temporal Unary GEMM Architecture for Low-Precision Edge AI
H Nair, P Vellaisamy, A Chen, J Finn, A Li, M Trivedi, JP Shen
2023 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2023
32023
Realtime Person Identification via Gait Analysis
S Venkatachalam, H Nair, P Vellaisamy, Y Zhou, Z Youssfi, JP Shen
arXiv preprint arXiv:2404.15312, 2024
22024
tubGEMM: Energy-Efficient and Sparsity-Effective Temporal-Unary-Binary Based Matrix Multiply Unit
P Vellaisamy, H Nair, J Finn, M Trivedi, A Chen, A Li, TH Lin, P Wang, ...
2023 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 1-6, 2023
22023
Exploration of Unary Arithmetic-Based Matrix Multiply Units for Low Precision DL Accelerators
P Vellaisamy, H Nair, D Wu, S Blanton, JP Shen
2024 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 661-665, 2024
12024
NeRTCAM: CAM-Based CMOS Implementation of Reference Frames for Neuromorphic Processors
H Nair, W Leyman, A Sampath, Q Jacobson, JP Shen
2024 Neuro Inspired Computational Elements Conference (NICE), 1-9, 2024
12024
TNN-CIM: An In-SRAM CMOS Implementation of TNN-Based Synaptic Arrays with STDP Learning
H Nair, D Barajas-Jasso, Q Jacobson, JP Shen
2024 IEEE 6th International Conference on AI Circuits and Systems (AICAS …, 2024
12024
TNNGen: Automated Design of Neuromorphic Sensory Processing Units for Time-Series Clustering
P Vellaisamy, H Nair, V Ratnakaram, D Gupta, JP Shen
IEEE Transactions on Circuits and Systems II: Express Briefs, 2024
12024
Commercial Evaluation of Zero-Skipping MAC Design for Bit Sparsity Exploitation in DL Inference
H Nair, P Vellaisamy, TH Lin, P Wang, S Blanton, JP Shen
2024 IFIP/IEEE 32nd International Conference on Very Large Scale Integration …, 2024
2024
Realtime Person Identification via Gait Analysis Using IMU Sensors on Edge Devices
S Venkatachalam, H Nair, P Vellaisamy, Y Zhou, Z Youssfi, JP Shen
2024 International Conference on Neuromorphic Systems (ICONS), 371-375, 2024
2024
OzMAC: An Energy-Efficient Sparsity-Exploiting Multiply-Accumulate-Unit Design for DL Inference
H Nair, P Vellaisamy, TH Lin, P Wang, S Blanton, JP Shen
arXiv preprint arXiv:2402.19376, 2024
2024
Cortical Columns Computing Systems: Microarchitecture Model, Functional Building Blocks, and Design Framework
H Nair
Carnegie Mellon University, 2024
2024
Corrigendum: SemNet: Learning semantic attributes for human activity recognition with deep belief networks
S Venkatachalam, H Nair, M Zeng, CS Tan, OJ Mengshoel, JP Shen
Frontiers in Big Data 6, 1170820, 2023
2023
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