Aug 16, 2023 · According to our experiments, winograd convolution can reduce the fault-tolerant design overhead by 55.77\% on average without any accuracy loss ...
Aug 16, 2023 · In this paper, we discover and evaluate the inherent fault tolerance of winograd convolution. With the fault tolerance of winograd convolu- ...
Jan 31, 2024 · In this work, we observe the great potential of winograd convolution in improving neural network (NN) fault tolerance. Based on the observation, ...
Exploring Winograd Convolution for Cost-Effective Neural Network Fault Tolerance. Winograd is generally utilized to optimize convolution performance and ...
Exploring Winograd convolution for cost-effective neural network fault tolerance. Xue, X., Liu, C., Liu, B., Huang, H., Wang, Y., Luo, T., Zhang, L., Li, ...
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What is Winograd convolution?
What is fault tolerance neural network?
According to these experiments, winograd convolution can be utilized to reduce fault-tolerant design overhead or energy consumption without any accuracy ...
Jan 13, 2024 · Many prior work explored the inherent fault tolerance of neural networks for the sake of higher energy efficiency, performance, and memory ...
In contrast, it is more flexible and cost-effective to take advantage of the inherent fault tolerance of the neural networks and alleviate the fault-tolerant.
In this work, we observe the great potential of winograd convolution in improving neural network (NN) fault tolerance. Based on the observation, we evaluate ...
In this work, we observe the great potential of winograd convolution in improving neural network (NN) fault tolerance. Based on the observation, we evaluate ...