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BUTTER Empirical Deep Learning Dataset

The BUTTER Empirical Deep Learning Dataset represents an empirical study of the deep learning phenomena on dense fully connected networks, scanning across thirteen datasets, eight network shapes, fourteen depths, twenty-three network sizes (number of trainable parameters), four le...
Tripp, C. et al National Renewable Energy Laboratory
May 20, 2022
4 Resources
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Super-Resolution for Renewable Energy Resource Data with Climate Change Impacts (Sup3rCC)

The Super-Resolution for Renewable Energy Resource Data with Climate Change Impacts (Sup3rCC) data is a collection of 4km hourly wind, solar, temperature, humidity, and pressure fields for the contiguous United States under various climate change scenarios. Sup3rCC is downscaled ...
Buster, G. et al National Renewable Energy Laboratory (NREL)
Apr 19, 2023
7 Resources
2 Stars
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NLR HPC Kestrel Jobs Data

Dataset DescriptionThis dataset contains anonymized job-level records from the Kestrel high-performance computing (HPC) system. Each record represents a Slurm batch job and includes scheduling metadata, resource requests, resource utilization, energy consumption estimates, and com...
Clark. . et al National Laboratory of the Rockies
Mar 17, 2026
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NLR HPC Eagle Jobs Data and Additional Energy Metrics

Dataset DescriptionThis dataset contains anonymized job-level records from the Eagle high-performance computing (HPC) system. Each record represents a Slurm batch job and includes scheduling metadata, resource requests, resource utilization, CPU and GPU energy consumption measurem...
Clark. . et al Computational Science
Mar 17, 2026
3 Resources
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