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Discussion papers | Copyright
https://doi.org/10.5194/nhess-2017-379
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 10 Nov 2017

Research article | 10 Nov 2017

Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Natural Hazards and Earth System Sciences (NHESS).

Tree-based mesh-refinement GPU accelerated tsunami simulator for real time operation

Marlon Arce Acuña1 and Takayuki Aoki2 Marlon Arce Acuña and Takayuki Aoki
  • 1Department of Nuclear Engineering, Tokyo Institute of Technology, 2-12-1-i7-3, Ookayama, Meguro, Tokyo, Japan
  • 2Global Scientific Information and Computing Center, Tokyo Institute of Technology, 2-12-1-i7-3, Ookayama, Meguro, Tokyo, Japan

Abstract. This paper presents a fast and accurate tsunami real time operational model to compute across-ocean wide-simulations completely on GPU. 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 GPU kernels, specialized and optimized (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 balanced work load. Hindcasting of the 2004 Indonesia 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 10 hours in just under 10 minutes wall clock time.

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Marlon Arce Acuña and Takayuki Aoki
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Marlon Arce Acuña and Takayuki Aoki
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Latest update: 15 Jul 2018
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Short summary
Tsunami events like Indonesia in 2004 and Japan in 2011 have shown us like never before the destructive power of this natural disaster. This highlighted the importance of fast and accurate simulations for forecasting. We present a fully GPU-accelerated tsunami model for large domains which delivers results within minutes with high accuracy and efficient resources use. By using just three GPUs results for the Indian Ocean were obtained in 15 min. This allows fast evacuation and risk decisions.
Tsunami events like Indonesia in 2004 and Japan in 2011 have shown us like never before the...
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