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Magneton: Optimizing Energy Efficiency of ML Systems via Differential Energy Debugging
The training and deployment of machine learning (ML) models have become extremely energy-intensive. While existing optimization efforts focus primarily on hardware energy efficiency, a significant but overlooked source of inefficiency is software energy waste caused by poor software design. This oft
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