Forest Fire Simulation: Efficient Realization Based on Cellular Automata

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Author(s): Severin Staudinger (University of Vienna, Austria)
Copyright: 2021
Pages: 11
Source title: Handbook of Research on Methodologies and Applications of Supercomputing
Source Author(s)/Editor(s): Veljko Milutinović (Indiana University, Bloomington, USA)and Miloš Kotlar (University of Belgrade, Serbia)
DOI: 10.4018/978-1-7998-7156-9.ch009

Keywords: Computer Science & IT / Grid & High Performance Computing / High Performance Computing / Information Science Reference

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Abstract

In this chapter a heuristic forest fire model based on cellular automata is presented and realized for efficiency reasons with the DataFlow programming approach. Real-world images taken by satellites are analyzed and used as the basis for simulations. In the presented forest fire model, natural influences like wind strength and direction, burning behavior, as well as different levels of inflammability are considered. The DataFlow implementation on an FPGA-based Maxeler MAX3 Vectis card was compared to a sequential C version executed on an Intel Xeon E5-2650 2.0 GHz CPU. The author obtained speedups of up to 70 for a strong wind situation and 46 for a random wind setting while reducing energy consumption.

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Forest Fire Simulation: Efficient Realization Based on Cellular Automata

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