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Renato Quispe-Vargas

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Open access Sep 2026

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

Accurate runtime prediction is essential for efficient HPC job scheduling, yet users chronically overesti- mate their jobs’ requirements. We analyze 7.3 million completed jobs from the NREL Eagle supercomputer and find that the problem is far worse than previously reported: median time-limit utilization is just 6.7%, w...

Renato Quispe-Vargas, Dina Maribel Yana-Yucra, Richar Andre Vilca-Solorzano et al. · 0 citations

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