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The client can be used to monitor a job in real time. The data and render servers can be run on every compute node via MPI. The user runs a client (ParaView GUI) on USERS' computer and use ssh tunnelling as described below to connect to server running on on separate remote HPC compute nodes. However, the pyhton interface pvpython is available for use on HPC login nodes. Note that using ParaView GUI is NOT recommended. The user runs the application just like any other application, with all data existing on the same node where all processing is done. On HPC, ParaView supports a few different operating modes. ParaView is installed on HPC using gnu-openmpi compiler and loading that module will enable you to use ParaView. There are three basic components to ParaView: data server for data processing, render server for data rendering, and client for user interaction. It is best suited for exploring very large data files that are too large to fit on a single node and generating visualizations and simulations. Data analysis and exploration in ParaView can be done either interactively in a 3D display or in program form by using the batch processing capability that ParaView has. The program is capable of rapidly building visualizations for data analysis using qualitative and quantitative techniques. ParaView is a tool for developing scalable parallel processing tools with an emphasis on distributed memory implementations.