LaCimaFINESI · UNAP

Publications

Scientific output

Papers in indexed journals signed by members of the laboratory. Each one comes with open code and data.

Editorial process

0 Submitted · under review0 Accepted · in press5 Published
Machine Learning-Based Runtime Prediction and Energy Optimization for HPC Job Scheduling Using the NREL Eagle Supercomputer Dataset
2026·Slovenian Society InformatikaL2

Machine Learning-Based Runtime Prediction and Energy Optimization for HPC Job Scheduling Using the NREL Eagle Supercomputer Dataset

7.3 million jobs from NREL's Eagle supercomputer: users need a median of only 6.7% of the time they request, and machine-learning-adjusted limits save 64.8% of energy, about 7.25 million kWh a year.

Renato Quispe-Vargas, Dina Maribel Yana-Yucra, Richar Andre Vilca-Solorzano, Vladimiro Ibañez-Quispe, Fred Torres-Cruz

Scopus
DOI