Analysis of the performance of a hybrid CPU/GPU 1D2D coupled model for real flood cases

Coupled 1D2D models emerged as an efficient solution for a two-dimensional (2D) representation of the floodplain combined with a fast one-dimensional (1D) schematization of the main channel. At the same time, high-performance computing (HPC) has appeared as an efficient tool for model acceleration....

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Bibliographic Details
Published in:Journal of hydroinformatics 2020-09, Vol.22 (5), p.1198-1216
Main Authors: Echeverribar, Isabel, Morales-Hernández, Mario, Brufau, Pilar, García-Navarro, Pilar
Format: Article
Language:English
Subjects:
Acceleration
Algorithms
Central processing units
Computation
Coupled model
CPUs
Data transfer (computers)
Efficiency
Environmental impact
ENVIRONMENTAL SCIENCES
Finite element method
flood
Floodplains
Floods
Graphics
Graphics processing units
hybrid GPU
Rivers
shallow water
Simulation
Two dimensional models
Velocity
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Summary:Coupled 1D2D models emerged as an efficient solution for a two-dimensional (2D) representation of the floodplain combined with a fast one-dimensional (1D) schematization of the main channel. At the same time, high-performance computing (HPC) has appeared as an efficient tool for model acceleration. In this work, a previously validated 1D2D Central Processing Unit (CPU) model is combined with an HPC technique for fast and accurate flood simulation. Due to the speed of 1D schemes, a hybrid CPU/GPU model that runs the 1D main channel on CPU and accelerates the 2D floodplain with a Graphics Processing Unit (GPU) is presented. Since the data transfer between sub-domains and devices (CPU/GPU) may be the main potential drawback of this architecture, the test cases are selected to carry out a careful time analysis. The results reveal the speed-up dependency on the 2D mesh, the event to be solved and the 1D discretization of the main channel. Additionally, special attention must be paid to the time step size computation shared between sub-models. In spite of the use of a hybrid CPU/GPU implementation, high speed-ups are accomplished in some cases.
ISSN:1464-7141
1465-1734
DOI:10.2166/hydro.2020.032