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Volume 38 Issue 4
Apr.  2020
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Article Navigation >  ENVIRONMENTAL ENGINEERING  > 2020  >  38(4): 164-169,175
LI Geng, LI Haibo, LI Yinghua, CHEN Xi. SOLIDIFICATION/STABILIZATION OF As IN SOIL USING BIOCHAR LOADED WITH FERRIC MANGANESE BINARY OXIDES(FMBO)[J]. ENVIRONMENTAL ENGINEERING , 2022, 40(3): 118-125. doi: 10.13205/j.hjgc.202203018
Citation: GONG Jia-hui, HOU Jing-ming, XUE Yang, ZHANG Da-wei, ZHANG Zhao-an, YANG Shao-xiong, HAN Hao. COMPUTATIONAL EFFICIENCY OF GPU ACCELERATION IN NUMERICAL SIMULATION OF URBAN RAIN-FLOOD PROCESS[J]. ENVIRONMENTAL ENGINEERING , 2020, 38(4): 164-169,175. doi: 10.13205/j.hjgc.202004029
shu

COMPUTATIONAL EFFICIENCY OF GPU ACCELERATION IN NUMERICAL SIMULATION OF URBAN RAIN-FLOOD PROCESS

doi: 10.13205/j.hjgc.202004029

  • 1. State Key Laboratory Base of Eco-hydraulic Engineering in Arid Area, Xi'an University of Technology, Xi'an 710048, China;

  • 2. POWERCHINA Huadong Engineering Corporation Limited, Hangzhou 311122, China;

  • 3. China Institute of Water Resources and Hydropower Research, Beijing 100038, China

  • Received Date: 2020-01-17
    Abstract
  • In order to quantitatively analyze the computational efficiency of GPU technology for urban rain-flood process numerical simulation, the numerical model based on GPU technology was used to simulate the process of rain and flood in typical cities with different rainfall and grid resolution, and to compare and analyze the efficiency and law of GPU acceleration. The results showed that GPU technology had more advantages than CPU for the simulation of rain-flood process in cities, which could increase the computational efficiency by 23.88~158.72 times, compared with CPU in different situations. In the case of heavy rainstorms and high-resolution grids, the speed-up effect of the GPU model was more obvious, and it kept about 0.29%~8.43% higher than the short return period rainstorms and low-resolution grids conditions. And this technology was proved suitable for simulation of large-scale and high-resolution problems. The model was thus considered as a technical support for rapid simulation forecasting of floods processes.
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