A GPU Numerical Implementation of a 2D Simplified Wildfire Spreading Model

被引：0

作者：

San Martin, Daniel ^{[1
]}

Torres, Claudio E. ^{[1
,2
]}

机构：

[1] Univ Tecn Federico Santa Maria, Dept Informat, Valparaiso, Chile

[2] Univ Tecn Federico Santa Maria, Ctr Cient Tecnol Valparaiso, Valparaiso, Chile

来源：

HIGH PERFORMANCE COMPUTING, CARLA 2023 | 2024年 / 1887卷

关键词：

Wildfires; Numerical Methods; GPU; CUDA; Scientific Computing; CELLULAR-AUTOMATA MODEL; WILDLAND FIRE MODEL; SIMULATION;

D O I：

10.1007/978-3-031-52186-7_9

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Wildfires are a latent problem worldwide that every year burns thousands of hectares, negatively impacting the environment. To mitigate the damage, there is software to support wildfire analysis. Many of these computational tools are based on different mathematical models, each with its own advantages and disadvantages. Unfortunately, only a few of the software are open source. This work aims to develop an open-source GPU implementation of a mathematical model for the spread of wildfires using CUDA. The algorithm is based on the Method of Lines, allowing it to work with a system of partial differential equations as a dynamical system. We present the advantages of a GPU versus C and an OpenMP multi-threaded CPU implementation for computing the outcome of several scenarios.

引用

页码：131 / 145

页数：15

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