In recent years, geosimulation models are becoming increasingly sophisticated and applied to real-world problems covering large geographical areas. As a result, they often require extended computing times. However, in spite of the improved availability of parallel computing facilities, the applications in the field of urban and regional dynamics modelling are almost always based on sequential algorithms. This paper makes a contribution towards a wider use of some high performance computing techniques, namely those based on General-Purpose computing on Graphics Processing Units (GPGPU), in the geosimulation applications. In particular, the relevant details of a parallel version of a typical Cellular Automata approach for simulating land-use dynamics are presented. Also, some computational results obtained on two typical GPU devices are discussed. © 2012 Springer-Verlag.
Parallel simulation of urban dynamics on the GPU
BLECIC, IVAN;
2012-01-01
Abstract
In recent years, geosimulation models are becoming increasingly sophisticated and applied to real-world problems covering large geographical areas. As a result, they often require extended computing times. However, in spite of the improved availability of parallel computing facilities, the applications in the field of urban and regional dynamics modelling are almost always based on sequential algorithms. This paper makes a contribution towards a wider use of some high performance computing techniques, namely those based on General-Purpose computing on Graphics Processing Units (GPGPU), in the geosimulation applications. In particular, the relevant details of a parallel version of a typical Cellular Automata approach for simulating land-use dynamics are presented. Also, some computational results obtained on two typical GPU devices are discussed. © 2012 Springer-Verlag.
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