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Data Federation Challenges in Remote Near-Real-Time Fusion Experiment Data Processing.

, , , , , , , , , , , , and . SMC, volume 1315 of Communications in Computer and Information Science, page 285-299. Springer, (2020)

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TGE: Machine Learning Based Task Graph Embedding for Large-Scale Topology Mapping., , , , , , , , , and 3 other author(s). CLUSTER, page 587-591. IEEE Computer Society, (2017)Data Federation Challenges in Remote Near-Real-Time Fusion Experiment Data Processing., , , , , , , , , and 3 other author(s). SMC, volume 1315 of Communications in Computer and Information Science, page 285-299. Springer, (2020)Maintaining Trust in Reduction: Preserving the Accuracy of Quantities of Interest for Lossy Compression., , , , , , , , , and 6 other author(s). SMC, volume 1512 of Communications in Computer and Information Science, page 22-39. Springer, (2021)Unraveling Diffusion in Fusion Plasma: A Case Study of In Situ Processing and Particle Sorting., , , , , , , , and . CoRR, (2023)Preparing for In Situ Processing on Upcoming Leading-edge Supercomputers., , , , , and . Supercomput. Front. Innov., 3 (4): 49-65 (2016)Machine Learning for the Complex, Multi-scale Datasets in Fusion Energy., , , , and . SMC, volume 1315 of Communications in Computer and Information Science, page 269-284. Springer, (2020)Leading magnetic fusion energy science into the big-and-fast data lane., , , , , , , and . SciPy, page 140-147. scipy.org, (2020)Near real-time analysis of big fusion data on HPC systems., , , , , , and . UrgentHPC@SC, page 55-63. IEEE, (2020)