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| Main Authors: | , , , , , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2408.07609 |
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| _version_ | 1866916619860574208 |
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| author | Takahashi, Keichi Abe, Takashi Musa, Akihiro Sato, Yoshihiko Shimomura, Yoichi Takizawa, Hiroyuki Koshimura, Shunichi |
| author_facet | Takahashi, Keichi Abe, Takashi Musa, Akihiro Sato, Yoshihiko Shimomura, Yoichi Takizawa, Hiroyuki Koshimura, Shunichi |
| contents | To issue early warnings and rapidly initiate disaster responses after tsunami damage, various tsunami inundation forecast systems have been deployed worldwide. Japan's Cabinet Office operates a forecast system that utilizes supercomputers to perform tsunami propagation and inundation simulation in real time. Although this real-time approach is able to produce significantly more accurate forecasts than the conventional database-driven approach, its wider adoption was hindered because it was specifically developed for vector supercomputers. In this paper, we migrate the simulation code to modern CPUs and GPUs in a minimally invasive manner to reduce the testing and maintenance costs. A directive-based approach is employed to retain the structure of the original code while achieving performance portability, and hardware-specific optimizations including load balance improvement for GPUs are applied. The migrated code runs efficiently on recent CPUs, GPUs and vector processors: a six-hour tsunami simulation using over 47 million cells completes in less than 2.5 minutes on 32 Intel Sapphire Rapids CPUs and 1.5 minutes on 32 NVIDIA H100 GPUs. These results demonstrate that the code enables broader access to accurate tsunami inundation forecasts. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2408_07609 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Modernizing an Operational Real-time Tsunami Simulator to Support Diverse Hardware Platforms Takahashi, Keichi Abe, Takashi Musa, Akihiro Sato, Yoshihiko Shimomura, Yoichi Takizawa, Hiroyuki Koshimura, Shunichi Distributed, Parallel, and Cluster Computing To issue early warnings and rapidly initiate disaster responses after tsunami damage, various tsunami inundation forecast systems have been deployed worldwide. Japan's Cabinet Office operates a forecast system that utilizes supercomputers to perform tsunami propagation and inundation simulation in real time. Although this real-time approach is able to produce significantly more accurate forecasts than the conventional database-driven approach, its wider adoption was hindered because it was specifically developed for vector supercomputers. In this paper, we migrate the simulation code to modern CPUs and GPUs in a minimally invasive manner to reduce the testing and maintenance costs. A directive-based approach is employed to retain the structure of the original code while achieving performance portability, and hardware-specific optimizations including load balance improvement for GPUs are applied. The migrated code runs efficiently on recent CPUs, GPUs and vector processors: a six-hour tsunami simulation using over 47 million cells completes in less than 2.5 minutes on 32 Intel Sapphire Rapids CPUs and 1.5 minutes on 32 NVIDIA H100 GPUs. These results demonstrate that the code enables broader access to accurate tsunami inundation forecasts. |
| title | Modernizing an Operational Real-time Tsunami Simulator to Support Diverse Hardware Platforms |
| topic | Distributed, Parallel, and Cluster Computing |
| url | https://arxiv.org/abs/2408.07609 |