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

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  • معلومة اضافية
    • الموضوع:
      2019
    • Collection:
      Universitat Autònoma de Barcelona: Dipòsit Digital de Documents de la UAB
    • نبذة مختصرة :
      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.
    • File Description:
      application/pdf
    • ISSN:
      15730484
    • Relation:
      Ministerio de Economía y Competitividad TIN/2014-53234-C2-1-R; Ministerio de Economía y Competitividad TIN/2016-81840-REDT; The journal of supercomputing; Vol. 75, Issue 3 (March 2019), p. 1163-1174; https://ddd.uab.cat/record/222925; urn:oai:ddd.uab.cat:222925; urn:scopus_id:85046011998; urn:articleid:15730484v75n3p1163; urn:wos_id:000463635700014
    • الدخول الالكتروني :
      https://ddd.uab.cat/record/222925
    • Rights:
      open access ; Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original. ; https://creativecommons.org/licenses/by/4.0/
    • الرقم المعرف:
      edsbas.5DF0EF90