FT-CNN: Algorithm-based fault tolerance for convolutional neural networks
Convolutional neural networks (CNNs) are becoming more and more important for solving
challenging and critical problems in many fields. CNN inference applications have been …
challenging and critical problems in many fields. CNN inference applications have been …
FT-CNN: Algorithm-Based Fault Tolerance for Convolutional Neural Networks
K Zhao, S Di, S Li, X Liang, Y Zhai, J Chen… - arXiv preprint arXiv …, 2020 - arxiv.org
Convolutional neural networks (CNNs) are becoming more and more important for solving
challenging and critical problems in many fields. CNN inference applications have been …
challenging and critical problems in many fields. CNN inference applications have been …
[PDF][PDF] FT-CNN: Algorithm-Based Fault Tolerance for Convolutional Neural Networks
K Zhao, S Di, S Li, X Liang, Y Zhai, J Chen, K Ouyang… - ieeexplore.ieee.org
Convolutional neural networks (CNNs) are becoming more and more important for solving
challenging and critical problems in many fields. CNN inference applications have been …
challenging and critical problems in many fields. CNN inference applications have been …
Algorithm-Based Fault Tolerance for Convolutional Neural Networks
K Zhao, S Di, S Li, X Liang, Y Zhai, J Chen… - IEEE Transactions on …, 2020 - osti.gov
Convolutional neural networks (CNNs) are becoming more and more important for solving
challenging and critical problems in many fields. CNN inference applications have been …
challenging and critical problems in many fields. CNN inference applications have been …
FT-CNN: Algorithm-Based Fault Tolerance for Convolutional Neural Networks
K Zhao, S Di, S Li, X Liang, Y Zhai, J Chen… - arXiv e …, 2020 - ui.adsabs.harvard.edu
Convolutional neural networks (CNNs) are becoming more and more important for solving
challenging and critical problems in many fields. CNN inference applications have been …
challenging and critical problems in many fields. CNN inference applications have been …
FT-CNN: Algorithm-Based Fault Tolerance for Convolutional Neural Networks
K Zhao, S Di, S Li, X Liang, Y Zhai, J Chen… - IEEE Transactions on …, 2021 - computer.org
Convolutional neural networks (CNNs) are becoming more and more important for solving
challenging and critical problems in many fields. CNN inference applications have been …
challenging and critical problems in many fields. CNN inference applications have been …
FT-CNN: Algorithm-Based Fault Tolerance for Convolutional Neural Networks
K Zhao, S Di, S Li, X Liang - 2021 - scholarsmine.mst.edu
Convolutional neural networks (CNNs) are becoming more and more important for solving
challenging and critical problems in many fields. CNN inference applications have been …
challenging and critical problems in many fields. CNN inference applications have been …
FT-CNN: Algorithm-Based Fault Tolerance for Convolutional Neural Networks
K Zhao, S Di, S Li, X Liang, Y Zhai… - … on Parallel and …, 2021 - experts.illinois.edu
Convolutional neural networks (CNNs) are becoming more and more important for solving
challenging and critical problems in many fields. CNN inference applications have been …
challenging and critical problems in many fields. CNN inference applications have been …
FT-CNN: Algorithm-Based Fault Tolerance for Convolutional Neural Networks
K Zhao, S Di, S Li, X Liang, Y Zhai, J Chen - 2021 - scholarsmine.mst.edu
Convolutional neural networks (CNNs) are becoming more and more important for solving
challenging and critical problems in many fields. CNN inference applications have been …
challenging and critical problems in many fields. CNN inference applications have been …