Scalability of a multi-physics system for forest fire spread prediction in multi-core platforms

Angel Farguell, Ana Cortés, Tomàs Margalef, Josep R. Miró, J. Mercader

Research output: Contribution to journalArticleResearch

1 Citation (Scopus)

Abstract

© 2018, The Author(s). Advances in high-performance computing have led to an improvement in modeling multi-physics systems because of the capacity to solve complex numerical systems in a reasonable time. WRF–SFIRE is a multi-physics system that couples the atmospheric model WRF and the forest fire spread model called SFIRE with the objective of considering the atmosphere–fire interactions. In systems like WRF–SFIRE, the trade-off between result accuracy and time required to deliver that result is crucial. So, in this work, we analyze the influence of WRF–SFIRE settings (grid resolutions) into the forecasts accuracy and into the execution times on multi-core platforms using OpenMP and MPI parallel programming paradigms.
Original languageEnglish
Pages (from-to)1163-1174
JournalJournal of Supercomputing
Volume75
Issue number3
DOIs
Publication statusPublished - 1 Mar 2019

Keywords

  • Forest fire simulation
  • Multi-core
  • Multi-physics model
  • Scalability

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