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Topology-Based Machine-Learning for Modeling Power-System Responses to Contingencies

This is the companion dataset to the presentation NREL/PR-6A20-77485, which was presented at the 2020 Joint Statistical Meeting on August 3, 2020. Developed for the machine-learning predictive modeling of power-system responses to disruptions, it contains results of power-system c...

Bush, B. National Renewable Energy Laboratory

Aug 01, 2020
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NLR HPC Eagle GPU Node Metrics

Ganglia node metrics and iLO (Integrated Lights Out) power data captured from six representative Eagle GPU nodesThe Eagle HPC operated at NLR from 2019 through 2024. Eagle was a 2,000-node, 8-petaflop system. This dataset is a representative sample of metrics for 6 of the GPU node...

Clark, S. National Laboratory of the Rockies

Jan 29, 2026
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NREL HPC Eagle Jobs Data

Three months of Eagle jobs data including Slurm metadata and derived power use characterization.

Eash, M. and Egan, H. National Renewable Energy Laboratory

Nov 24, 2020
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NLR HPC Kestrel Jobs Data

Overview: Anonymized job-level records from the Kestrel HPC system at the National Laboratory of the Rockies (NLR). Each record represents a Slurm batch job with scheduling metadata, resource requests, utilization, energy estimates, and efficiency metrics. Sensitive fields (user, ...

Clark, S. et al National Laboratory of the Rockies

Mar 17, 2026
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NLR HPC Eagle Node Power Data

Power time series captured from all Eagle nodes using iLO (Integrated Lights Out)The Eagle HPC operated at NLR from 2019 through 2024. Eagle was a 2,000-node, 8-petaflop system. This dataset is a comprehensive time series of instantaneous snapshots of power usage at 1 minute inter...

Clark, S. National Laboratory of the Rockies

Jan 29, 2026
7 Resources
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