Operational Strategies for Non-Disruptive Scheduling Transitions in Production HPC Systems
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arXiv
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| Format: | Preprint |
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2026
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| _version_ | 1866912987736965120 |
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| author | MacLachlan, Glen Creech, Joseph Iqbal, Rubeel Muhammad Gaylord, Clark Messick, Jake |
| author_facet | MacLachlan, Glen Creech, Joseph Iqbal, Rubeel Muhammad Gaylord, Clark Messick, Jake |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2603_27863 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Operational Strategies for Non-Disruptive Scheduling Transitions in Production HPC Systems MacLachlan, Glen Creech, Joseph Iqbal, Rubeel Muhammad Gaylord, Clark Messick, Jake Distributed, Parallel, and Cluster Computing Performance 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. |
| title | Operational Strategies for Non-Disruptive Scheduling Transitions in Production HPC Systems |
| topic | Distributed, Parallel, and Cluster Computing Performance |
| url | https://arxiv.org/abs/2603.27863 |