S3D is the Sandia 3D Direct Numerical Solver, which presently is capable of generating tens of terabytes of raw data per run in a parametric study of several runs, presenting a significant challenge for subsequent analysis and interpretation. The current approach is to store the raw data at prescribed time intervals, and then either analyze it on a supercomputer or access it via a local analysis and visualization cluster at Sandia. The raw data is archived so that various modeling groups in the combustion community can interrogate it to test model assumptions. To understand the correlation of scalar fields such as temperature, mixing rates, and species concentrations in turbulent flames, scientists must be able to visualize two or more scalars simultaneously. Conventional visualization tools do not directly support such a capability. Scientists often must make side-by-side comparisons of images of different variables by hand, which is tedious and time-consuming. Furthermore, the information that scientists can derive by looking at separate images is quite limited. Thus, they need effective methods for simultaneously visualizing multiple time-varying variables from large data sets in an interactive fashion.
Web: http://vis.cs.ucdavis.edu/VisFiles/pages/combustion.php
Accelerating S3D: A GPGPU Case Study, http://ft.ornl.gov/pubs-archive/Spaff-s3d.pdf
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