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タイトル
和文: 
英文:Tree-based mesh-refinement GPU-accelerated tsunami simulator for real-time operation 
著者
和文: アルセ アクニヤ マルロン, 青木尊之.  
英文: Marlon Arce Acuna, TAKAYUKI AOKI.  
言語 English 
掲載誌/書名
和文:Volume 18, issue 9, P2561-2602 
英文:Natural Hazards and Earth System Sciences (NHESS) 
巻, 号, ページ Vol. 18    No. 9    p. 2561-2602
出版年月 2018年9月21日 
出版者
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英文: 
会議名称
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開催地
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DOI https://doi.org/10.5194/nhess-18-2561-2018
アブストラクト This paper presents a fast and accurate tsunami real-time operational model to compute across ocean-wide simulations completely on GPU (graphics processing unit). The spherical shallow water equations are solved using the method of characteristics and upwind cubic interpolation to provide high accuracy and stability. A customized, user interactive, tree-based mesh-refinement method is implemented based on distance from the coast and focal areas to generate a memory-efficient domain with resolutions of up to 50m. Three specialized and optimized GPU kernels (Wet, Wall and Inundation) are developed to compute the domain block mesh. Multi-GPU is used to further speed up the computation, and a weighted Hilbert space-filling curve is used to produce a balanced workload. Hindcasting of the 2004 Indonesian tsunami is presented to validate and compare the agreement of the arrival times and main peaks at several gauges. Inundation maps are also produced for Kamala and Hambantota to validate the accuracy of our model. Test runs on three Tesla P100 cards on Tsubame 3.0 could fully simulate 10h in just under 10min wall-clock time.

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