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Diagnosing Performance Variations in HPC Applications Using Machine Learning., , , , , , , and . ISC, volume 10266 of Lecture Notes in Computer Science, page 355-373. Springer, (2017)HPC System Data Pipeline to Enable Meaningful Insights through Analysis-Driven Visualizations., , , , and . CLUSTER, page 433-441. IEEE, (2020)Autonomy Loops for Monitoring, Operational Data Analytics, Feedback, and Response in HPC Operations., , , , , , , , , and 17 other author(s). CLUSTER Workshops, page 37-43. IEEE, (2023)Filtering log data: Finding the needles in the Haystack., , , , , and . DSN, page 1-12. IEEE Computer Society, (2012)Framework for Enabling System Understanding., , , , , , , , , and . Euro-Par Workshops (2), volume 7156 of Lecture Notes in Computer Science, page 231-240. Springer, (2011)OVIS: a tool for intelligent, real-time monitoring of computational clusters., , , and . IPDPS, IEEE, (2006)Driving HPC Operations With Holistic Monitoring and Operational Data Analytics (Dagstuhl Seminar 23171)., , , , and . Dagstuhl Reports, 13 (4): 98-120 (2023)Runtime Performance Anomaly Diagnosis in Production HPC Systems Using Active Learning., , , , , , , , and . IEEE Trans. Parallel Distributed Syst., 35 (4): 693-706 (April 2024)Proctor: A Semi-Supervised Performance Anomaly Diagnosis Framework for Production HPC Systems., , , , , , , , and . ISC, volume 12728 of Lecture Notes in Computer Science, page 195-214. Springer, (2021)Measuring Congestion in High-Performance Datacenter Interconnects., , , , , , , , , and 1 other author(s). NSDI, page 37-57. USENIX Association, (2020)