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GraphMeta: A Graph-Based Engine for Managing Large-Scale HPC Rich Metadata.

, , , , , and . CLUSTER, page 298-307. IEEE Computer Society, (2016)

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It's Time to Talk About HPC Storage: Perspectives on the Past and Future., , , , , and . Comput. Sci. Eng., 23 (6): 63-68 (2021)I/O performance challenges at leadership scale., , , , , and . SC, ACM, (2009)Characterization and modeling of PIDX parallel I/O for performance optimization., , , , , , , , , and 3 other author(s). SC, page 67:1-67:12. ACM, (2013)Enabling Agile Analysis of I/O Performance Data with PyDarshan., , , , , , , , and . SC Workshops, page 1380-1391. ACM, (2023)Understanding Data Motion in the Modern HPC Data Center., , , , and . PDSW@SC, page 74-83. IEEE, (2019)Modeling a Million-Node Slim Fly Network Using Parallel Discrete-Event Simulation., , , , and . SIGSIM-PADS, page 189-199. ACM, (2016)A Zoom-in Analysis of I/O Logs to Detect Root Causes of I/O Performance Bottlenecks., , , , , , and . CCGRID, page 102-111. IEEE, (2019)Modular HPC I/O Characterization with Darshan., , , , , and . ESPT@SC, page 9-17. IEEE, (2016)Adaptive Learning for Concept Drift in Application Performance Modeling., , , , , , , and . ICPP, page 79:1-79:11. ACM, (2019)Characterization and identification of HPC applications at leadership computing facility., , , , , , , and . ICS, page 29:1-29:12. ACM, (2020)