Fengshi Tian, Jinbo Chen, Kunming Shao, Zilu Liu, Jiakun Zheng, Hui Wu, Chaoming Fang, Xiaomeng Wang, Ziyang Shen, Pingcheng Dong, Yuan Yao, Xuliang Wang, Jie Yang, Mohamad Sawan
, Chi-Ying Tsui and Kwang-Ting Cheng
Paper (2025)
An external link is available for this item
| Department: | Department of Electrical Engineering |
|---|---|
| Funders: | InnoHK |
| PolyPublie URL: | https://publications.polymtl.ca/66068/ |
| Conference Title: | IEEE Custom Integrated Circuits Conference (CICC 2025) |
| Conference Location: | Boston, MA, USA |
| Conference Date(s): | 2025-04-13 - 2025-04-17 |
| Publisher: | Institute of Electrical and Electronics Engineers |
| DOI: | 10.1109/cicc63670.2025.10982760 |
| Official URL: | https://doi.org/10.1109/cicc63670.2025.10982760 |
| Date Deposited: | 10 Jun 2025 08:49 |
| Last Modified: | 10 Jun 2025 08:49 |
| Cite in APA 7: | Tian, F., Chen, J., Shao, K., Liu, Z., Zheng, J., Wu, H., Fang, C., Wang, X., Shen, Z., Dong, P., Yao, Y., Wang, X., Yang, J., Sawan, M., Tsui, C.-Y., & Cheng, K.-T. (2025, April). E-NPU: A 34~126nJ/Class Event-Driven Adaptive Neural SoC with Signal-Dynamics-Aware Feature Clustering and Multi-Model In-Memory Inference/Training for Personalized Medical Wearables [Paper]. IEEE Custom Integrated Circuits Conference (CICC 2025), Boston, MA, USA. https://doi.org/10.1109/cicc63670.2025.10982760 |
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