PreNeT predicts per-epoch training time for deep learning layers, including attention and embedding, using computational operations, memory, and GPU peak FLOPs features, and reports up to 72% improvement over a 2018 baseline.
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PreNeT: Leveraging Computational Features to Predict Deep Neural Network Training Time
PreNeT predicts per-epoch training time for deep learning layers, including attention and embedding, using computational operations, memory, and GPU peak FLOPs features, and reports up to 72% improvement over a 2018 baseline.