A scaling law model derived from roofline analysis and a speedup-based efficiency factor predicts training energy for BERT models across GPU parallelism configurations.
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The Energy Consumption of Transformer Fine-Tuning: A Roofline-Inspired Scaling Model
A scaling law model derived from roofline analysis and a speedup-based efficiency factor predicts training energy for BERT models across GPU parallelism configurations.