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Continuous whole-system monitoring toward rapid understanding of production HPC applications and systems.

, , , , , , , , and . Parallel Comput., (2016)

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HPC System Data Pipeline to Enable Meaningful Insights through Analysis-Driven Visualizations., , , , and . CLUSTER, page 433-441. IEEE, (2020)Diagnosing Performance Variations in HPC Applications Using Machine Learning., , , , , , , and . ISC, volume 10266 of Lecture Notes in Computer Science, page 355-373. Springer, (2017)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)Framework for Enabling System Understanding., , , , , , , , , and . Euro-Par Workshops (2), volume 7156 of Lecture Notes in Computer Science, page 231-240. Springer, (2011)Filtering log data: Finding the needles in the Haystack., , , , , and . DSN, page 1-12. IEEE Computer Society, (2012)OVIS: a tool for intelligent, real-time monitoring of computational clusters., , , and . IPDPS, IEEE, (2006)Online Diagnosis of Performance Variation in HPC Systems Using Machine Learning., , , , , , , and . IEEE Trans. Parallel Distributed Syst., 30 (4): 883-896 (2019)Production Application Performance Data Streaming for System Monitoring., , , and . ACM Trans. Model. Perform. Evaluation Comput. Syst., 4 (2): 8:1-8:25 (2019)Continuous whole-system monitoring toward rapid understanding of production HPC applications and systems., , , , , , , , and . Parallel Comput., (2016)ALAMO: Autonomous Lightweight Allocation, Management, and Optimization., , , , , , , , , and . SMC, volume 1315 of Communications in Computer and Information Science, page 408-422. Springer, (2020)