Special Session: Fault-Tolerant Deep Learning: A Hierarchical Perspective-Reference-Cited by-同舟云学术

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Special Session: Fault-Tolerant Deep Learning: A Hierarchical Perspective

Published:2022-04-25 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 40th VLSI Test Symposium (VTS)
language:
Short-container-title:

Author:

Liu Cheng¹,Gao Zhen²,Liu Siting³,Ning Xuefei⁴,Li Huawei¹,Li Xiaowei¹

Affiliation:

1. Chinese Academy of Sciences,Institute of Computing Technology,SKLCA

2. Tianjin University,School of Electrical and Information Engineering

3. Shanghai Tech University,School of Information Science and Technology

4. Tsinghua University,Department of Electronic Engineering

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9793839/9794139/09794239.pdf?arnumber=9794239

Reference86 articles.

1. Energy-Efficient Digital Signal Processing via Voltage-Overscaling-Based Residue Number System

2. Hardware implementation of a fault-tolerant Hopfield Neural Network on FPGAs

3. Bit Error Tolerance of a CIFAR-10 Binarized Convolutional Neural Network Processor

4. Minerva: Enabling Low-Power, Highly-Accurate Deep Neural Network Accelerators

5. A 22nm, 10.8 μ W/15.1 μ W Dual Computing Modes High Power-Performance-Area Efficiency Domained Background Noise Aware Keyword- Spotting Processor

Cited by 8 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. Can Stochastic Computing Truly Tolerate Bit Flips?;Proceedings of the Great Lakes Symposium on VLSI 2024;2024-06-12

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

4. Statistical Modeling of Soft Error Influence on Neural Networks;IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems;2023-11

5. Exploring Winograd Convolution for Cost-Effective Neural Network Fault Tolerance;IEEE Transactions on Very Large Scale Integration (VLSI) Systems;2023-11

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