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

Author(s): Angel Farguell, Ana Cortés, Tomàs Margalef, Josep R. Miró, J. Mercader
Year Published: 2019
Description:

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.

Citation: Farguell, Angel; Cortés, Ana; Margalef, Tomàs; Miró, Josep R.; Mercader, J. 2019. Scalability of a multi-physics system for forest fire spread prediction in multi-core platforms. The Journal of Supercomputing 75(3):1163-1174.
Topic(s): Fire Behavior, Simulation Modeling
Ecosystem(s): None
Document Type: Book or Chapter or Journal Article
NRFSN number: 19349
FRAMES RCS number: 56470
Record updated: Apr 16, 2019