TRex Visualization is an integral part of scientific computation and simulation. Today's state of the art simulations can generate terabytes to petabytes of time-varying data where a single time step can contain more than a gigabyte of data per variable. They key to understanding this data is the ability to visualize the global and local relationships of the data elements. Direct volume rendering has proven to be an excellent method for examining these properties. It allows each data element to contribute to the final image and provides the ability to query not only the spatial relationship of data elements, but their quantitative relationships as well. In collaboration with the University of Utah, our goals for the TRex project are to provide near interactive display rates for time-varying, terabyte sized, uniformly sampled datasets and provide a low latency platform for volume rendering in immersive environments. More details on TRex can be seen in the upcoming special issue of IEEE Computer Graphics & Applications on large data visualization.
Parallel VTK Viz Clusters Flow Query ("Qviz") VIF POPTEX Wildfire LUX TERA Amer. Museum of Natural History
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