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Surrogate-data-enriched Physics-Aware Neural Networks., , , и . NLDL, Septentrio Academic Publishing, (2022)PLSSVM: A (multi-)GPGPU-accelerated Least Squares Support Vector Machine., , и . IPDPS Workshops, стр. 818-827. IEEE, (2022)Harnessing billions of tasks for a scalable portable hydrodynamic simulation of the merger of two stars., , , , , , , , , и 5 other автор(ы). Int. J. High Perform. Comput. Appl., (2019)Octo-Tiger's New Hydro Module and Performance Using HPX+CUDA on ORNL's Summit., , , , , , , и . CoRR, (2021)Surrogate-data-enriched Physics-Aware Neural Networks., , , и . CoRR, (2021)EXAHD: A Massively Parallel Fault Tolerant Sparse Grid Approach for High-Dimensional Turbulent Plasma Simulations., , , , , , , , и . Software for Exascale Computing, том 136 из Lecture Notes in Computational Science and Engineering, Springer, (2020)From piz daint to the stars: simulation of stellar mergers using high-level abstractions., , , , , , , , , и . SC, стр. 62:1-62:37. ACM, (2019)B-splines on sparse grids for surrogates in uncertainty quantification., , и . Reliab. Eng. Syst. Saf., (2021)Self-Learning Tuning for Post-Silicon Validation., , , и . CoRR, (2021)Leveraging the Compute Power of Two HPC Systems for Higher-Dimensional Grid-Based Simulations with the Widely-Distributed Sparse Grid Combination Technique., , , , и . SC, стр. 84:1-84:14. ACM, (2023)