Theoretical Computer Science - Special issue: cellular automata
Future Generation Computer Systems - Special issue on cellular automata: promise in computational science
Fundamenta Informaticae - Membrane Computing
Efficient stream compaction on wide SIMD many-core architectures
Proceedings of the Conference on High Performance Graphics 2009
Integrated simulation and optimization for wildfire containment
ACM Transactions on Modeling and Computer Simulation (TOMACS)
A New Algorithm for Simulating Wildfire Spread through Cellular Automata
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Graphical simulation of bushfire spread
Mathematical and Computer Modelling: An International Journal
Cellular Automata and GPGPU: An Application to Lava Flow Modeling
International Journal of Grid and High Performance Computing
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In the field of wildfire risk management the so-called burn probability maps (BPMs) are increasingly used with the aim of estimating the probability of each point of a landscape to be burned under certain environmental conditions. Such BPMs are usually computed through the explicit simulation of thousands of fires using fast and accurate models. However, even adopting the most optimized algorithms, the building of simulation-based BPMs for large areas results in a highly intensive computational process that makes mandatory the use of high performance computing. In this paper, General-Purpose Computation with Graphics Processing Units (GPGPU) is applied, in conjunction with a wildfire simulation model based on the Cellular Automata approach, to the process of BPM building. Using three different GPGPU devices, the paper illustrates several implementation strategies to speedup the overall mapping process and discusses some numerical results obtained on a real landscape.