Behind the Scenes: Arming Researchers with Visualization Know-How
Scientific visualization (SciVis) is a process of representing raw scientific data as images, which helps scientists improve their interpretations of...
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Show Notes
Scientific visualization (SciVis) is a process of representing raw scientific data as images, which helps scientists improve their interpretations of large data sets. More and more, advanced visualization tools are becoming an integral part of a researcher’s analysis toolkit; and when in the hands of scientists and researchers, they can visualize, interact with, and get better insights from their data. In this podcast, Anne Bowen, a research engineering scientist at the Texas Advanced Computing Center (TACC) shares this process and exciting SciVis use cases with rhinoviruses, oceanography and hydrodynamics, plasma structures, and more.
Guests
- Anne Bowen, research engineering scientist, Texas Advanced Computing Center (TACC), University of Texas at Austin
- Donna Nemshick, performance validation lead, Advanced Rendering and Visualization group., Intel
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