The International Conference for High Performance Computing, Networking, Storage, and Analysis
The International Conference for High Performance Computing, Networking, Storage, and Analysis
Authors: Takemasa Miyoshi, Arata Amemiya, Shigenori Otsuka, Yasumitsu Maejima, and James Taylor (RIKEN); Takumi Honda (Hokkaido University, Japan; RIKEN); Hirofumi Tomita Tomita and Seiya Nishizawa (RIKEN); Kenta Sueki (RIKEN, Meteorological Research Institute); Tsuyoshi Yamaura (RIKEN); Yutaka Ishikawa (National Institute of Informatics); Shinsuke Satoh (National Institute for Information and Communications Technology); Tomoo Ushio (Osaka University); Kana Koike (MTI Ltd.); and Atsuya Uno (RIKEN, National Research Institute for Earth Science and Disaster Resilience)
Abstract: Real-time 30-second-refresh numerical weather prediction (NWP) was performed with exclusive use of 11,580 nodes (~7%) of supercomputer Fugaku during Tokyo Olympics and Paralympics in 2021. Total 75,248 forecasts were disseminated in the 1-month period mostly stably with time-to-solution less than 3 minutes for 30-minute forecast. Japan’s Big Data Assimilation (BDA) project developed the novel NWP system for precise prediction of hazardous rains toward solving the global climate crisis. Compared with typical 1-hour-refresh systems, the BDA system offered two orders of magnitude increase in problem size and revealed the effectiveness of 30-second refresh for highly nonlinear, rapidly evolving convective rains. To achieve the required time-to-solution for real-time 30-second refresh with high accuracy, the core BDA software incorporated single precision and enhanced parallel I/O with properly selected configurations of 1000 ensemble members and 500-m-mesh weather model. The massively parallel, I/O intensive real-time BDA computation demonstrated a promising future direction.
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