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Machine Learning for the Complex, Multi-scale Datasets in Fusion Energy.

, , , , и . SMC, том 1315 из Communications in Computer and Information Science, стр. 269-284. Springer, (2020)

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TGE: Machine Learning Based Task Graph Embedding for Large-Scale Topology Mapping., , , , , , , , , и 3 other автор(ы). CLUSTER, стр. 587-591. IEEE Computer Society, (2017)Data Federation Challenges in Remote Near-Real-Time Fusion Experiment Data Processing., , , , , , , , , и 3 other автор(ы). SMC, том 1315 из Communications in Computer and Information Science, стр. 285-299. Springer, (2020)Maintaining Trust in Reduction: Preserving the Accuracy of Quantities of Interest for Lossy Compression., , , , , , , , , и 6 other автор(ы). SMC, том 1512 из Communications in Computer and Information Science, стр. 22-39. Springer, (2021)Machine Learning for the Complex, Multi-scale Datasets in Fusion Energy., , , , и . SMC, том 1315 из Communications in Computer and Information Science, стр. 269-284. Springer, (2020)Leading magnetic fusion energy science into the big-and-fast data lane., , , , , , , и . SciPy, стр. 140-147. scipy.org, (2020)Near real-time analysis of big fusion data on HPC systems., , , , , , и . UrgentHPC@SC, стр. 55-63. IEEE, (2020)