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

Learn more

Learn.TACC.UTexas.edu

TACC.UTexas.edu

Intel oneAPI Rendering Toolkit

oneAPI: Driving a New Era of Accelerated Computing

oneapi.com

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Tags: 3D, Anne Bowen, C++, data analytics, developers, Donna Nemshick, Embree, Frontera, graphics, Intel, large data sets, oneAPI, Open Source, OpenVKL, Optane, OSPray, ParaView, ray tracing, rendering, rendering tool, scientific visualization, scivis, TACC, Texas Advanced Computing Center, visualization, VMD
 
Posted in: Audio Podcast, Code Together, Intel