Parallel Implementation of a Simplified Semi-physical Wildland Fire Spread Model Using OpenMP

被引：2

作者：

Alvarez, D. ^{[1
]}

Prieto, D. ^{[1
]}

Asensio, M. I. ^{[1
,2
]}

Cascon, J. M. ^{[2
,3
]}

Ferragut, L. ^{[1
,2
]}

机构：

[1] Univ Salamanca, Dept Matemat Aplicada, Casas Parque 2, E-37008 Salamanca, Spain

[2] Univ Salamanca, IU Fis Fundamental & Matemat, Casas Parque 1, E-37008 Salamanca, Spain

[3] Univ Salamanca, Dept Econ & Hist Econ, Edificio FES,Campus Miguel Unamuno, Salamanca 37007, Spain

来源：

HYBRID ARTIFICIAL INTELLIGENT SYSTEMS, HAIS 2017 | 2017年 / 10334卷

关键词：

OpenMP; Parallel computing; Performance; Wildland fire model; ADJUSTMENT;

D O I：

10.1007/978-3-319-59650-1_22

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We present a parallel 2D version of a simplified semi-physical wildland fire spread model based on conservation equations, with convection and radiation as the main heat transfer mechanisms. This version includes some 3D effects. The OpenMP framework allows distributing the prediction operations among the available threads in a multicore architecture, thereby reducing the computational time and obtaining the prediction results much more quickly. The results from the experiments using data from a real fire in Galicia (Spain) confirm the benefits of using the parallel version.

引用

页码：256 / 267

页数：12

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