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

Echeverribar, I. ; Morales-Hernandez, M. (Universidad de Zaragoza) ; Brufau, P. (Universidad de Zaragoza) ; Garcia-Navarro, P. (Universidad de Zaragoza)

Resumen: 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.

Idioma: Inglés

DOI: 10.2166/hydro.2020.032

Año: 2020

Publicado en: JOURNAL OF HYDROINFORMATICS 22, 5 (2020), 1198-1216
ISSN: 1464-7141

Factor impacto JCR: 2.376 (2020)

Categ. JCR: COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS rank: 68 / 112 = 0.607 (2020) - Q3 - T2
Categ. JCR: WATER RESOURCES rank: 59 / 97 = 0.608 (2020) - Q3 - T2
Categ. JCR: ENVIRONMENTAL SCIENCES rank: 181 / 272 = 0.665 (2020) - Q3 - T3
Categ. JCR: ENGINEERING, CIVIL rank: 72 / 136 = 0.529 (2020) - Q3 - T2

Factor impacto SCIMAGO: 0.654 - Atmospheric Science (Q2) - Water Science and Technology (Q2) - Geotechnical Engineering and Engineering Geology (Q2) - Civil and Structural Engineering (Q2)

Financiación: info:eu-repo/grantAgreement/ES/MICINN-FEDER/PGC2018-094341-B-I00

Tipo y forma: Artículo (PostPrint)

Área (Departamento): Área Mecánica de Fluidos (Dpto. Ciencia Tecnol.Mater.Fl.)