Noise-Resilient DNN: Tolerating Noise in PCM-Based AI Accelerators via Noise-Aware Training
Author:
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Electronic, Optical and Magnetic Materials
Link
http://xplorestaging.ieee.org/ielx7/16/9520090/09472868.pdf?arnumber=9472868
Cited by 26 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
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2. A Readout Scheme for PCM-Based Analog In-Memory Computing With Drift Compensation Through Reference Conductance Tracking;IEEE Open Journal of the Solid-State Circuits Society;2024
3. Using the IBM analog in-memory hardware acceleration kit for neural network training and inference;APL Machine Learning;2023-11-28
4. SupeRBNN: Randomized Binary Neural Network Using Adiabatic Superconductor Josephson Devices;56th Annual IEEE/ACM International Symposium on Microarchitecture;2023-10-28
5. Investigating the Impact of Non-Volatile Memories on Energy-Efficiency of Coarse-Grained Reconfigurable Architectures;2023 26th Euromicro Conference on Digital System Design (DSD);2023-09-06
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