publication . Article . Other literature type . 2018

Fast Simulation of Large-Scale Floods Based on GPU Parallel Computing

Liu, Qiang; Qin, Yi; Li, Guodong;
Open Access English
  • Published: 02 May 2018 Journal: Water (issn: 2073-4441, Copyright policy)
  • Publisher: MDPI AG
Abstract
Computing speed is a significant issue of large-scale flood simulations for real-time response to disaster prevention and mitigation. Even today, most of the large-scale flood simulations are generally run on supercomputers due to the massive amounts of data and computations necessary. In this work, a two-dimensional shallow water model based on an unstructured Godunov-type finite volume scheme was proposed for flood simulation. To realize a fast simulation of large-scale floods on a personal computer, a Graphics Processing Unit (GPU)-based, high-performance computing method using the OpenACC application was adopted to parallelize the shallow water model. An uns...
Subjects
free text keywords: flood modeling, shallow water equations, finite volume scheme, GPU parallel computing, numerical simulation, Hydraulic engineering, TC1-978, Water supply for domestic and industrial purposes, TD201-500, Geography, Planning and Development, Aquatic Science, Biochemistry, Water Science and Technology, Finite volume method, Computer simulation, Computation, Graphics processing unit, Personal computer, Parallel computing, Unstructured data, Central processing unit, Geology, Flood myth
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publication . Article . Other literature type . 2018

Fast Simulation of Large-Scale Floods Based on GPU Parallel Computing

Liu, Qiang; Qin, Yi; Li, Guodong;