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

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High Performance Computing (CARLA 2023)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1887))

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Abstract

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.

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Acknowledgment

This work was partially supported by ANID-Subdirección de Capital Humano/Doctorado Nacional/2019-21191017, ANID PIA/APOYO AFB220004 Centro Científico Tecnológico de Valparaíso - CCTVal, and Programa de Iniciación a la Investigación Científica (PIIC) from Dirección de Postgrado y Programas, Universidad Técnica Federico Santa María, Chile.

Powered@NLHPC: This research was partially supported by the supercomputing infrastructure of the NLHPC (ECM-02).

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Authors and Affiliations

  1. Departamento de Informática, Universidad Técnica Federico Santa María, Valparaíso, Chile

    Daniel San Martin & Claudio E. Torres

  2. Centro Científico Tecnológico de Valparaíso, Universidad Técnica Federico Santa María, Valparaíso, Chile

    Claudio E. Torres

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  1. Daniel San Martin
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Correspondence to Daniel San Martin .

Editor information

Editors and Affiliations

  1. Industrial University of Santander, Bucaramanga, Colombia

    Carlos J. Barrios H.

  2. Argonne National Laboratory, Lemont, IL, USA

    Silvio Rizzi

  3. Centro Nacional de Alta Tecnología, San José, Costa Rica

    Esteban Meneses

  4. University of Buenos Aires & Center for Computational Simulation Aplicaciones Tecnológicas, Buenos Aires, Argentina

    Esteban Mocskos

  5. Argonne National Laboratory, Lemont, IL, USA

    Jose M. Monsalve Diaz

  6. University of Cartagena, Cartagena, Colombia

    Javier Montoya

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San Martin, D., Torres, C.E. (2024). A GPU Numerical Implementation of a 2D Simplified Wildfire Spreading Model. In: Barrios H., C.J., Rizzi, S., Meneses, E., Mocskos, E., Monsalve Diaz, J.M., Montoya, J. (eds) High Performance Computing. CARLA 2023. Communications in Computer and Information Science, vol 1887. Springer, Cham. https://doi.org/10.1007/978-3-031-52186-7_9

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