Migrating heterogeneous high-performance computing (HPC) systems to resource-aware scheduling introduces both technical and behavioral challenges, particularly in production environments with established user workflows. This paper presents a case study of transitioning a production academic HPC cluster from node-exclusive to consumable resource scheduling mid-lifecycle, without disrupting active workloads. We describe an operational strategy combining a time-bounded compatibility layer, observability-driven feedback, and targeted user engagement to guide adoption of explicit resource declaration. This approach protected active research workflows throughout the transition, avoiding the disruption that a direct cut-over would have imposed on the user community. Following deployment, median queue wait times fell from 277 minutes to under 3 minutes for CPU workloads and from 81 minutes to 3.4 minutes for GPU workloads. Users who adopted TRES-based submission exhibited strong long-term retention. These results demonstrate that successful scheduling transitions depend not only on system configuration, but on aligning observability, user engagement, and operational design.
@article{arxiv.2603.27863,
title = {Operational Strategies for Non-Disruptive Scheduling Transitions in Production HPC Systems},
author = {Glen MacLachlan and Joseph Creech and Rubeel Muhammad Iqbal and Clark Gaylord and Jake Messick},
journal= {arXiv preprint arXiv:2603.27863},
year = {2026}
}
Comments
4 pages, 3 figures, 1 table, submitted to PEARC'26