SLURM-Managed HyperParameter Optimization
Published in DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) • Jan 1, 2026
Authors:,,
Anusha Chattopadhyay
Hendrik Borras
Bernhard Klein
Abstract
Hyperparameter optimization (HPO) is essential for achieving state-of-the-art performance in machine learning, yet it is computationally demanding, particularly on shared or resource-constrained clusters. We present a system that integrates the Asynchronous Successive Halving Algorithm (ASHA) with S...
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