Intelligent Light and FieldView

AIAA AVIATION 2015 - Working with large data of today and tomorrow

 This turbine blade simulation result was awarded "Most Quantitatively Descriptive Flow Visualization Animation" in the Visualization Showcase at AIAA Aviation 2015. The achromatic colormap enhances the presentation of the numerical differences.
--click image for animation

I attended the AVIATION 2015 meeting in Dallas last month. I had a great time meeting with colleagues, listening in on great papers and presenting my own work. The week started with my presentation for the CFD Visualization Showcase session where I was awarded the "Most Quantitatively Descriptive Flow Visualization Animation" which highlighted the animations and images from my paper "EPIC – An Extract Plug-In Components Toolkit for In situ Data Extracts Architecture". The paper was presented at the "Post-Processing and Model Reduction" session.

In both the animations and the paper, I made use of FieldView's achromatic colormaps. I've found that the "Achromatic Vision 1" colormap, easily selected from the new colormap selector in the colormap tab (no more hunting around for user defined colormaps!!!) does a much better job at highlighting flow features that I didn't see using the default Spectrum colormaps. I use the Achromatic Vision 1 almost exclusively now for all my visualizations.

In addition, I took part in a panel discussion "The Path to CFD Visualization in 2030" where we discussed our ideas regarding "Facing the Knowledge Extraction and Visualization Challenges of the NASA CFD 2030 Vision".  During this panel, I described how CFD analysts require the ability to simultaneously compute both very large simulations and large numbers of simulations. Code verification/validation and uncertainty quantification studies also drive the need for unsteady solutions consisting of  billions of grid points and large ensembles of non-deterministic solutions. These types of studies are enabled by: In situ data processing where the solver directly outputs FieldView surface extracts,  FieldView XDB workflow and the use of XDBview.

In order to extract actionable knowledge and create visualizations of these extensive datasets, my Applied Research Group is developing new capabilities for CFDers through our DOE sponsored research with the VisIt code and the Air Force Research Lab EPISODE project (the paper I presented at AVIATION2015).  In the coming months, I will be working with the other panelists on a paper that we'll present at SciTech2016.

XDBs files and XDBview were critical to this work.

Learn more about in-situ post-processing with XDB workflows:

FieldView Patch Release 15.1 Now Available
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