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Using open source and commercial visualization packages for analysis and visualization of large simulation dataset

Scientists today are generating more data than ever. In any high performance computing center, analyzing and visualizing large amounts of simulation data are becoming more and more challenging. Therefore, high performance computing centers will not only need to manage their high performance computational resources, but also develop state of the art data analysis and visualization capabilities. Simulation data will also need to be generated and visualized on the same storage hardware because transferring the simulated data after the simulation for analysis and visualization is no longer feasible due to the size of the data generated. The scientific visualization community has been developing visualization software with the capability to read, analyze, and generate visualization from large simulation data. Numerous open source and commercial visualization software packages are available for use by the scientists for data analysis and visualization purposes. However, there is no single visualization package that can satisfy all the visualization requirements. Most visualization centers will utilize a combination of open source and commercial visualization packages in their visualization projects. In addition, visualization centers will also develop their own customized visualization module for their project specific visualization requirements that are not supported by the standard visualization packages.