A GPU Implementation for Two-Dimensional Shallow Water Modeling
Kerry A. Seitz Jr. (1), Alex Kennedy (1), Owen Ransom (2), Bassam A., Younis (2), and John D. Owens (3) ((1) Department of Computer Science,, University of California, Davis (2) Department of Civil, Environmental, Engineering, University of California, Davis
TL;DR
This paper introduces a GPU-based implementation of a 2D shallow water model, significantly enhancing simulation performance for flood and water system analysis, enabling more detailed and efficient studies.
Contribution
The paper presents a novel GPU implementation of a 2D shallow water model that outperforms traditional CPU-based Fortran versions in speed and efficiency.
Findings
GPU implementation achieves significant performance improvements
Enables more detailed and faster water system simulations
Facilitates better analysis of floods and dam scenarios
Abstract
In this paper, we present a GPU implementation of a two-dimensional shallow water model. Water simulations are useful for modeling floods, river/reservoir behavior, and dam break scenarios. Our GPU implementation shows vast performance improvements over the original Fortran implementation. By taking advantage of the GPU, researchers and engineers will be able to study water systems more efficiently and in greater detail.
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Taxonomy
TopicsHydrology and Watershed Management Studies · Hydrology and Sediment Transport Processes · Flood Risk Assessment and Management