Distributed and parallel processing of noise information for 3D GIS in a U-city

To generate the 3D GIS urban noise map, we need a lot of computing power. To meet the requirement, this research used MPI with our own distributed and parallel processing model. MPI is known to have the advantage of portability and reduce the processing time of the map. The distributed and parallel model is used when the text file that has the noise values of a designated area is processed to make jpg files. We experimented the distributed and parallel model and found that the processing time was increased linearly when the size of the file was increased. Thus, we prove that the model works well in generating the 3D GIS urban noise map.