Scientific visualization with Vis It Brad Whitlock Lawrence
Scientific visualization with Vis. It Brad Whitlock, Lawrence Livermore National Laboratory Vis. It is a free interactive parallel visualization and graphical analysis tool for viewing scientific data. You can quickly generate visualizations from your data, animate them through time, manipulate them, and save the resulting images for presentations. Vis. It contains a rich set of visualization features so you can view your data in a variety of ways and extract quantitative information. Vis. It was designed to run on a variety of platforms and employs a client server model to allow you to visualize your largest data sets from your desktop workstation by using your workstation’s fast graphics hardware and by processing the data set in parallel on a more powerful remote computer. Vis. It empowers end users • Explore and analyze data • Create images for presentations • Debug simulation codes Vis. It runs where you want to work • Microsoft Windows 2000/XP • Linux • Mac. OS X • AIX (IBM) • IRIX (SGI) • Tru 64 (Compac) Vis. It is freely available • http: //www. llnl. gov/visit • Binary distributions • Source code • Documentation Vis. It has a robust architecture • Client/server • 4 main software components • Parallel compute engine • Plug-in support Desktop computer GUI Viewer Vis. It handles a wide variety of data • Over 2 dozen plug-in file format readers import data from various popular file formats including: Silo, Exodus, Ensight, VTK, Plot 3 D • Plots and operates on scalar, vector, tensor, material, species, and X, Y pair data • Mesh types Curve Curvilinear Points Rectilinear Unstructured AMR Vis. It’s data analysis features • Create derived fields using expressions • Pick on individual cells and nodes to obtain data set information • Extract data and plot curves to compare against expected results • Calculate complex queries for individual cells, entire data set Database server Data files Parallel compute engine compute engine Remote computer • Extract information over time Vis. It has a rich set of plots and operators • Boundary • Box • Contour • Clip • Label • Iso. Surface • Mesh • Iso. Volume • Pseudocolor • Lineout • Streamline • Reflect • Surface • Slice • Tensor • Threshold • Vector • And many more! • Volume Vis. It is routinely used to visualize very large data sets • Vis. It recently visualized PF 3 D laser simulation results consisting of a 12. 7 billion cell structured grid data set using 400 processors of LLNL’s thunder machine. • Time to first image: 30 seconds • Subsequent images drawn in 2 -3 seconds • Vis. It ran well up to and including 1600 processors
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