Determining map partitioning to accelerate wind field calculation

Gemma Sanjuan*, Carlos Brun, Tomas Margalef, Ana Cortes

*Corresponding author for this work

Research output: Chapter in BookChapterResearchpeer-review

8 Citations (Scopus)

Abstract

Wind speed and direction are parameters that affect forest fire propagation dramatically. So, an accurate estimation of such parameters is crucial to predict the fire propagation precisely. WindNInja is a wind field simulator that can easily be coupled to a forest fire propagation simulator such as FARSITE. However, wind field simulators present to main drawbacks: They take too much time to compute the wind field and they require a lot of memory. So, a map partitioning strategy has been developed to compute partial wind field maps that can be aggregated afterwards. Each map part can be computed in parallel and the amount of memory required is available in a single node. In this work a methodology to determine the most adequate map partitioning is presented. The map part shape, map part size, amount of overlapping and number of parts have been studied considering execution time and effects on wind field estimation. The results are based on a wide experimentation and are validated with real case scenarios.

Original languageAmerican English
Title of host publicationProceedings of the 2014 International Conference on High Performance Computing and Simulation, HPCS 2014
EditorsWaleed Smari, Vesna Zeljkovic
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages96-103
Number of pages8
ISBN (Electronic)9781479953127
DOIs
Publication statusPublished - 18 Sep 2014

Publication series

NameProceedings of the 2014 International Conference on High Performance Computing and Simulation, HPCS 2014

Keywords

  • Data parallelism
  • forest fire
  • map partitioning
  • wind field

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