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Artificial Intelligence and Machine Learning for HPC Workload Analysis (Fifth Session)
DescriptionModern HPC systems generate massive amounts of monitoring and performance data daily, making manual analysis increasingly impractical. AI and machine learning are emerging as powerful tools to extract insights, detect anomalies, and optimize workload and resource behavior. This BoF brings together experts from HPC, AI, and data science to share current practices, challenges, and emerging solutions in the field. The session aims to foster collaboration and highlight real-world applications of AI/ML for improving system efficiency, reliability, and user understanding in large-scale computing environments.
