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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)It's Time to Talk About HPC Storage: Perspectives on the Past and Future., , , , , and . Comput. Sci. Eng., 23 (6): 63-68 (2021)Modeling Large-Scale Slim Fly Networks Using Parallel Discrete-Event Simulation., , , , and . ACM Trans. Model. Comput. Simul., 28 (4): 29:1-29:25 (2018)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)Could Blobs Fuel Storage-Based Convergence Between HPC and Big Data?, , , , , and . CLUSTER, page 81-86. IEEE Computer Society, (2017)On the Performance of the POSIX I/O Interface to PVFS., , , , , and . PDP, page 332-339. IEEE Computer Society, (2004)Scalable I/O forwarding framework for high-performance computing systems., , , , , , , , and . CLUSTER, page 1-10. IEEE Computer Society, (2009)Modeling a Million-Node Slim Fly Network Using Parallel Discrete-Event Simulation., , , , and . SIGSIM-PADS, page 189-199. ACM, (2016)