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Prabhu Vellaisamy
Prabhu Vellaisamy
在 andrew.cmu.edu 的电子邮件经过验证 - 首页
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引用次数
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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
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
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
Towards a design framework for tnn-based neuromorphic sensory processing units
P Vellaisamy, JP Shen
arXiv preprint arXiv:2205.14248, 2022
12022
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
A Custom 7nm CMOS Standard Cell Library for Implementing TNN-based Neuromorphic Processors
H Nair, P Vellaisamy, S Bhasuthkar, JP Shen
arXiv preprint arXiv:2012.05419, 2020
2020
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
A Digital SRAM Computing-in-Memory Design Utilizing Activation Unstructured Sparsity for High-Efficient DNN Inference................................................ 1 Baiqing …
G Ammes, P Butzen, A Reis, R Ribas, MM Unit, P Vellaisamy, H Nair, ...
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