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Best Practices and Lessons Learned from Deploying and Operating Large-Scale Data-Centric Parallel File Systems.

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HPC Software and Programming Environments for Big Data Applications., , , , and . Sci. Program., (2018)Aspects of adaptive reconfiguration in a scalable intrusion tolerant system., and . Complex., 9 (2): 74-83 (2003)Scaling Resolution of Gigapixel Whole Slide Images Using Spatial Decomposition on Convolutional Neural Networks., , , , , , , and . PASC, page 2:1-2:11. ACM, (2023)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)Best Practices and Lessons Learned from Deploying and Operating Large-Scale Data-Centric Parallel File Systems., , , , , , , , , and 7 other author(s). SC, page 217-228. IEEE Computer Society, (2014)Chameleon: An Adaptive Wear Balancer for Flash Clusters., , , , , , , , , and . IPDPS, page 1163-1172. IEEE Computer Society, (2018)Language models for the prediction of SARS-CoV-2 inhibitors., , , , , , , , , and . Int. J. High Perform. Comput. Appl., 36 (5-6): 587-602 (2022)DeepThermo: Deep Learning Accelerated Parallel Monte Carlo Sampling for Thermodynamics Evaluation of High Entropy Alloys., , and . IPDPS, page 333-343. IEEE, (2023)Learning from Five-year Resource-Utilization Data of Titan System., , , and . CLUSTER, page 1-6. IEEE, (2019)