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Access Patterns and Performance Behaviors of Multi-layer Supercomputer I/O Subsystems under Production Load.

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Analyzing File Access Patterns on Large-Scale HPC Systems: Opportunities for File Prefetching., , , , and . MASCOTS, page 1-4. IEEE, (2023)Machine Learning Assisted HPC Workload Trace Generation for Leadership Scale Storage Systems., , , and . HPDC, page 199-212. ACM, (2022)The Challenge of Disproportionate Importance of Temporal Features in Predicting HPC Power Consumption., , , , and . CLUSTER, page 632-636. IEEE, (2021)I/O performance analysis of machine learning workloads on leadership scale supercomputer., , and . Perform. Evaluation, (2022)Revealing power, energy and thermal dynamics of a 200PF pre-exascale supercomputer., , , , and . SC, page 12. ACM, (2021)Power Profile Monitoring and Tracking Evolution of System-Wide HPC Workloads., , , and . ICDCS, page 93-104. IEEE, (2024)Profiling and Modeling of Power Characteristics of Leadership-Scale HPC System Workloads., , , and . CoRR, (2024)Spatiotemporal Graph Neural Network for Performance Prediction of Photovoltaic Power Systems., , , and . AAAI, page 15323-15330. AAAI Press, (2021)Access Patterns and Performance Behaviors of Multi-layer Supercomputer I/O Subsystems under Production Load., , , , , , , , and . HPDC, page 43-55. ACM, (2022)Characterizing Machine Learning I/O Workloads on Leadership Scale HPC Systems., , and . MASCOTS, page 1-8. IEEE, (2021)