WESCO: Weight-encoded Reliability and Security Co-design for In-memory Computing Systems-Reference-Cited by-同舟云学术

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WESCO: Weight-encoded Reliability and Security Co-design for In-memory Computing Systems

Published:2022-07 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE Computer Society Annual Symposium on VLSI (ISVLSI)
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Author:

Zhang Jiangwei¹,Wang Chong¹,Cai Yi¹,Zhu Zhenhua¹,Kline Donald²,Yang Huazhong¹,Wang Yu¹

Affiliation:

1. Tsinghua University,Department of Electronic Engineering

2. Intel Corporation

Funder

National Natural Science Foundation of China

National Key RD Program of China

Beijing National Research Center for Information Science and Technology (BNRist)

Beijing Innovation Center for Future

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9911984/9911948/09912069.pdf?arnumber=9912069

Cited by 4 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

1. Evaluating single event upsets in deep neural networks for semantic segmentation: An embedded system perspective;Journal of Systems Architecture;2024-09

2. BNN-Flip: Enhancing the Fault Tolerance and Security of Compute-in-Memory Enabled Binary Neural Network Accelerators;2024 29th Asia and South Pacific Design Automation Conference (ASP-DAC);2024-01-22

3. Enabling Neuromorphic Computing for Artificial Intelligence with Hardware-Software Co-Design;Neuromorphic Computing;2023-11-15

4. TFix: Exploiting the Natural Redundancy of Ternary Neural Networks for Fault Tolerant In-Memory Vector Matrix Multiplication;2023 60th ACM/IEEE Design Automation Conference (DAC);2023-07-09

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