Titolo:  GPU-accelerated optimization of fuel treatments for mitigating wildfire hazard
Data di pubblicazione:  2013
Autori:  Arca, B.; Ghisu, T.; Spataro, W.; Trunfio, G.A.
Numero degli autori:  4
Lingua:  Inglese
Presenza coautori internazionali:  no
Volume:  18
Pagina iniziale:  966
Pagina finale:  975
Numero di pagine:  10
Digital Object Identifier (DOI):  http://dx.doi.org/10.1016/j.procs.2013.05.262
Codice identificativo Scopus:  2-s2.0-84896953404
Codice identificativo ISI:  WOS:000321051200099
Abstract:  Fuel treatment is considered a suitable way to mitigate the hazard related to potential wildfires on a landscape. However, designing an optimal spatial layout of treatment units represents a difficult optimization problem. In fact, budget constraints, the probabilistic nature of fire spread and interactions among the different area units composing the whole treatment, give rise to challenging search spaces on typical landscapes. In this paper we formulate such optimization problem with the objective of minimizing the extension of land characterized by high fire hazard. Then, we propose a computational approach that leads to a spatially-optimized treatment layout exploiting Tabu Search and General-Purpose computing on Graphics Processing Units (GPGPU). Using an application example, we also show that the proposed methodology can provide high-quality design solutions in low computing time.
Parole Chiave:  Fuel Treatment; GPGPU; Simulation; Optimization; Cellular Automata
Tipologia: 1.1 Articolo in rivista

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