Relieving Uncertainty in Forest Fire Spread Prediction by Exploiting Multicore Architectures

Andrés Cencerrado, Tomàs Artés, Ana Cortés, Tomàs Margalef. Relieving Uncertainty in Forest Fire Spread Prediction by Exploiting Multicore Architectures. In Slawomir Koziel, Leifur Þ. Leifsson, Michael Lees, Valeria V. Krzhizhanovskaya, Jack Dongarra, Peter M. A. Sloot, editors, Proceedings of the International Conference on Computational Science, ICCS 2015, Computational Science at the Gates of Nature, Reykjavík, Iceland, 1-3 June, 2015, 2014. Volume 51 of Procedia Computer Science, pages 1752-1761, Elsevier, 2015. [doi]

@inproceedings{CencerradoACM15,
  title = {Relieving Uncertainty in Forest Fire Spread Prediction by Exploiting Multicore Architectures},
  author = {Andrés Cencerrado and Tomàs Artés and Ana Cortés and Tomàs Margalef},
  year = {2015},
  doi = {10.1016/j.procs.2015.05.380},
  url = {http://dx.doi.org/10.1016/j.procs.2015.05.380},
  researchr = {https://researchr.org/publication/CencerradoACM15},
  cites = {0},
  citedby = {0},
  pages = {1752-1761},
  booktitle = {Proceedings of the International Conference on Computational Science, ICCS 2015, Computational Science at the Gates of Nature, Reykjavík, Iceland, 1-3 June, 2015, 2014},
  editor = {Slawomir Koziel and Leifur Þ. Leifsson and Michael Lees and Valeria V. Krzhizhanovskaya and Jack Dongarra and Peter M. A. Sloot},
  volume = {51},
  series = {Procedia Computer Science},
  publisher = {Elsevier},
}