Abstract
To meet the requirement of fast loading large scale point could data file, proposed a new method based on memory pre-allocation and multiple-point concurrency writing technologies which depend on thread pool and memory mapping file mechanism under Windows platform. Test result shows that the new method based on memory pre-allocation and multiple-point concurrency writing technologies improve the performance of loading large-scale point-could data file notably with 220%~300% in loading efficiency, and along with the file size increment, the extra loading time caused by the method is the least compared with the other three methods.
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Zhang, J. (2013). Research on Fast Loading Large Scale Point Cloud Data File. In: Yang, Y., Ma, M., Liu, B. (eds) Information Computing and Applications. ICICA 2013. Communications in Computer and Information Science, vol 391. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-53932-9_39
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DOI: https://doi.org/10.1007/978-3-642-53932-9_39
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