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Managing Rich Metadata in High-Performance Computing Systems Using a Graph Model.

, , , , , and . IEEE Trans. Parallel Distributed Syst., 30 (7): 1613-1627 (2019)

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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)Modeling Large-Scale Slim Fly Networks Using Parallel Discrete-Event Simulation., , , , and . ACM Trans. Model. Comput. Simul., 28 (4): 29:1-29:25 (2018)It's Time to Talk About HPC Storage: Perspectives on the Past and Future., , , , , and . Comput. Sci. Eng., 23 (6): 63-68 (2021)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)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)Could Blobs Fuel Storage-Based Convergence Between HPC and Big Data?, , , , , and . CLUSTER, page 81-86. IEEE Computer Society, (2017)Scalable I/O forwarding framework for high-performance computing systems., , , , , , , , and . CLUSTER, page 1-10. IEEE Computer Society, (2009)