An adaptive vulnerability-aware fault tolerance framework for neural networks that employs a GNN predictor to dynamically adjust protection policies, achieving over 95% prediction accuracy and 42.12% average overhead reduction.
Arithmetic-intensity-guided fault tol- erance for neural network inference on gpus
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Adaptive Soft Error Protection for Neural Network Processing
An adaptive vulnerability-aware fault tolerance framework for neural networks that employs a GNN predictor to dynamically adjust protection policies, achieving over 95% prediction accuracy and 42.12% average overhead reduction.