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Regional-scale calculation of the LS factor using parallel processing

delete2015-05-01
delete19
PRE
AI
K
Kai Liu
汤
汤国安 (Guoan Tang) *
L
Ling Jiang
A-Xing Zhu 封面图
A-Xing Zhu (A‐Xing Zhu)
J
Jianyi Yang
宋效东 封面图
宋效东 (Xiaodong Song)
DOI:10.1016/j.cageo.2015.02.001delete
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摘要

摘要

En 中文
With the increase of data resolution and the increasing application of USLE over large areas, the existing serial implementation of algorithms for computing the LS factor is becoming a bottleneck. In this paper, a parallel processing model based on message passing interface (MPI) is presented for the calculation of the LS factor, so that massive datasets at a regional scale can be processed efficiently. The parallel model contains algorithms for calculating flow direction, flow accumulation, drainage network, slope, slope length and the LS factor. According to the existence of data dependence, the algorithms are divided into local algorithms and global algorithms. Parallel strategy are designed according to the algorithm characters including the decomposition method for maintaining the integrity of the results, optimized workflow for reducing the time taken for exporting the unnecessary intermediate data and a buffer-communication-computation strategy for improving the communication efficiency. Experiments on a multi-node system show that the proposed parallel model allows efficient calculation of the LS factor at a regional scale with a massive dataset. (C) 2015 Elsevier Ltd. All rights reserved.
Keyword:
LS factor
Parallel computing
Soil erosion model
Regional scale
Digital terrain model
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期刊

C
Computers and Geosciences
IF:
4.4
论文数:
5.0K
被引数:
1.5W

机构

U
university of wisconsin madison
学者数:
3.8W
论文数: 2.9W
被引数: 53
University of Wisconsin System 封面图
University of Wisconsin System
学者数:
6.7W
论文数: 5.8W
被引数: 382
N
nanjing institute of soil science, cas
学者数:
1.9K
论文数: 1.8K
被引数: 5
N
Nanjing Normal University
学者数:
1.7W
论文数: 1.3W
被引数: 1.9W
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