Interactive visualization platform based on MapReduce
Wang Galiang, Cimbe, Liu Jianjian, Liu Ni
In this paper, an interactive visualization platform architecture based on cloud environment is proposed for the interactive visualization of marine environment information in long time series. Based on Hadoop, the visualization platform introduces GPU and MPI parallel computing into mapreduce processing mechanism, realizes the parallel processing of large-scale data set in marine environment spatial data field, such as retrieval, extraction, interpolation calculation and feature visualization analysis, and achieves the goal of remote interactive visualization of mass data.
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