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Analysis of the performance of a hybrid CPU/GPU 1D2D coupled model for real flood cases
- Source :
- Zaguán. Repositorio Digital de la Universidad de Zaragoza, instname
- Publication Year :
- 2020
- Publisher :
- IWA Publishing, 2020.
-
Abstract
- 15 figures, 1 table.<br />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.<br />This work is part of the PGC2018-094341-B-I00 research project funded by the Ministry of Science and Innovation/FEDER. Additionally, Mario Morales-Hernández was partially supported by the U.S. Air Force Numerical Weather Modeling Program.
- Subjects :
- Atmospheric Science
Hybrid GPU
010504 meteorology & atmospheric sciences
Flood myth
Shallow water
0208 environmental biotechnology
02 engineering and technology
Parallel computing
Geotechnical Engineering and Engineering Geology
01 natural sciences
Coupled model
Flood
020801 environmental engineering
Simulation
Geology
0105 earth and related environmental sciences
Civil and Structural Engineering
Water Science and Technology
Subjects
Details
- ISSN :
- 14651734 and 14647141
- Volume :
- 22
- Database :
- OpenAIRE
- Journal :
- Journal of Hydroinformatics
- Accession number :
- edsair.doi.dedup.....d6a21b65fcc8ce56fcc28a6bd9db5424