Exploring Winograd Convolution for Cost-Effective Neural Network Fault Tolerance

Author:

Xue Xinghua1ORCID,Liu Cheng1ORCID,Liu Bo2,Huang Haitong1ORCID,Wang Ying1ORCID,Luo Tao3ORCID,Zhang Lei1,Li Huawei1ORCID,Li Xiaowei1ORCID

Affiliation:

1. State Key Laboratory of Processors, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China

2. Beijing Institute of Control Engineering, Beijing, China

3. Institute of High Performance Computing, A*STAR, Fusionopolis, Singapore

Funder

National Natural Science Foundation of China

Space Trusted Computing and Electronic Information Technology Laboratory of Beijing Institute of Control Engineering

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Hardware and Architecture,Software

Cited by 5 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. MRFI: An Open-Source Multiresolution Fault Injection Framework for Neural Network Processing;IEEE Transactions on Very Large Scale Integration (VLSI) Systems;2024-07

2. Exploring the Behavior of Soft-Error Rate Reduction Algorithms in Digital Circuits;2024 International Conference on Optimization Computing and Wireless Communication (ICOCWC);2024-01-29

3. Microarchitecturally Exploring Fault-Tolerance and Timing on Silicon on Chip;2024 International Conference on Optimization Computing and Wireless Communication (ICOCWC);2024-01-29

4. Reliable Fault Tolerance and Recovery for VLSI Systems;2024 International Conference on Optimization Computing and Wireless Communication (ICOCWC);2024-01-29

5. Soft Error Reliability Analysis of Vision Transformers;IEEE Transactions on Very Large Scale Integration (VLSI) Systems;2023-12

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