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AMR-Net: Convolutional Neural Networks for Multi-resolution Steady Flow Prediction., , , , , и . CLUSTER, стр. 686-691. IEEE, (2021)GPU Acceleration of Multigrid Preconditioned Conjugate Gradient Solver on Block-Structured Cartesian Grid., , , , , и . HPC Asia, стр. 120-128. ACM, (2021)An 80-Fold Speedup, 15.0 TFlops Full GPU Acceleration of Non-Hydrostatic Weather Model ASUCA Production Code., , , , , , , , и . SC, стр. 1-11. IEEE, (2010)High-productivity Framework for Large-scale GPU/CPU Stencil Applications., , и . ICCS, том 80 из Procedia Computer Science, стр. 1646-1657. Elsevier, (2016)A High-Productivity Framework for Adaptive Mesh Refinement on Multiple GPUs., и . ICCS (1), том 11536 из Lecture Notes in Computer Science, стр. 281-294. Springer, (2019)145 TFlops Performance on 3990 GPUs of TSUBAME 2.0 Supercomputer for an Operational Weather Prediction., , , , и . ICCS, том 4 из Procedia Computer Science, стр. 1535-1544. Elsevier, (2011)A Stencil Framework to Realize Large-Scale Computations Beyond Device Memory Capacity on GPU Supercomputers., , , и . CLUSTER, стр. 525-529. IEEE Computer Society, (2017)High-Productivity Framework on GPU-Rich Supercomputers for Operational Weather Prediction Code ASUCA., , и . SC, стр. 251-261. IEEE Computer Society, (2014)Real-time Tracer Dispersion Simulations in Oklahoma City Using the Locally Mesh-Refined Lattice Boltzmann Method, , , , , и . Boundary-Layer Meteorology, (2021)Peta-scale phase-field simulation for dendritic solidification on the TSUBAME 2.0 supercomputer., , , , , , , и . SC, стр. 3:1-3:11. ACM, (2011)