Article Dans Une Revue Future Generation Computer Systems Année : 2026

MPI malleability validation under replayed real-world HPC conditions

Résumé

Dynamic Resource Management (DRM) techniques can be leveraged to maximize throughput and resource utilization in computational clusters. Although DRM has been extensively studied through analytical workloads and simulations, skepticism persists among end administrators and users regarding their feasibility under realworld conditions. To address this problem, we propose a novel methodology for validating DRM techniques, such as malleability, in realistic scenarios that reproduce actual cluster conditions of jobs and users by replaying workload logs on a High-performance Computing (HPC) infrastructure. Our methodology is capable of adapting the workload to the target cluster. We evaluate our methodology in a malleability-enabled 125-node partition of the Marenostrum 5 supercomputer. Our results validate the proposed method and assess the benefits of MPI malleability on a novel use case of a pioneer user of malleability (our "PhD Student"): parallel-efficiency-aware malleability reduced a malleable workload time by 27 % without delaying the baseline workload, although introducing queueing delays for individual jobs, but maintaining the resource utilization rate.

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hal-05428637 , version 1 (22-12-2025)

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Sergio Iserte, Maël Madon, Georges da Costa, Jean-Marc Pierson, Antonio J Peña. MPI malleability validation under replayed real-world HPC conditions. Future Generation Computer Systems, 2026, 178, pp.108305. ⟨10.1016/j.future.2025.108305⟩. ⟨hal-05428637⟩
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