WANDER: An Explainable Decision-Support Framework for HPC
Published in arXiv preprint arXiv:2506.04049, 2025
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An explainable decision-support framework for High Performance Computing (HPC) that uses graph-based and explainable AI methods to turn complex system logs into intuitive signals, enabling early detection and diagnosis of unusual performance behavior in large-scale HPC systems.
Authors: Ankur Lahiry, Banooqa Banday, Yugesh Bhattarai, and Tanzima Z Islam