An 80-Fold Speedup, 15.0 TFlops Full GPU Acceleration of Non-Hydrostatic Weather Model ASUCA Production Code

Author:

Shimokawabe Takashi,Aoki Takayuki,Muroi Chiashi,Ishida Junichi,Kawano Kohei,Endo Toshio,Nukada Akira,Maruyama Naoya,Matsuoka Satoshi

Publisher

IEEE

Cited by 52 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Towards Optimized Hydrological Forecast Prediction of WRF-Hydro on GPU;2023 IEEE International Conference on High Performance Computing & Communications, Data Science & Systems, Smart City & Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys);2023-12-17

2. An efficient cloud-based elastic RDMA protocol for HPC applications;CCF Transactions on High Performance Computing;2023-09-15

3. Optimization of the parallel semi-Lagrangian scheme to overlap computation with communication based on grouping levels in YHGSM;CCF Transactions on High Performance Computing;2023-09-10

4. Heterogeneous acceleration algorithms for shallow cumulus convection scheme over GPU clusters;Future Generation Computer Systems;2023-09

5. Porting the WAVEWATCH III (v6.07) wave action source terms to GPU;Geoscientific Model Development;2023-03-03

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