WattLayer is a layer-wise energy estimation model achieving 19.6% median error on over 100k layers from 295 architectures across 3 tasks and 3 platforms, with generalization to new tasks via shared layers.
Part-time Power Mea- surements: nvidia-smi's Lack of Attention
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The paper calls for life cycle assessment to capture embodied hardware costs and full pipeline operational costs in AI development and deployment.
A self-calibrating testbed using Vessim and Kepler with real-node calibration achieves R² of 0.95 for computing node power approximation in microgrid simulations.
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WattLayer: Get Layers Right to Estimate Inference Energy of Neural Networks
WattLayer is a layer-wise energy estimation model achieving 19.6% median error on over 100k layers from 295 architectures across 3 tasks and 3 platforms, with generalization to new tasks via shared layers.
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Evaluation of ML Resource Utilization Requires Model Life Cycle Assessment
The paper calls for life cycle assessment to capture embodied hardware costs and full pipeline operational costs in AI development and deployment.
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Calibrating Microgrid Simulations for Energy-Aware Computing Systems
A self-calibrating testbed using Vessim and Kepler with real-node calibration achieves R² of 0.95 for computing node power approximation in microgrid simulations.
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