HPC simulation enables us to study physical systems that cannot be directly examined. By converting internal digital representations of those physical systems to visual imagery, we leverage our vast capability to understand the world around us to glean knowledge from computation. Over the past few decades, a great deal of work has been done on the computational aspects of the problem, developing algorithms and systems for converting abstract data to forms amenable for rendering. In this talk we will discuss how the Sculpting Vis project, a collective of computer scientists and artists at the University of Minnesota and the University of Texas, are bringing artistic principles into the visualization process to make visualizations more effective in conveying information not only to the scientists behind the work but also to a broader public that needs to understand what it means about the world around us. This talk will be accompanied by a visit the TACC ACB Visualization Lab.
Greg Abram is a computer scientist with many years of experience in developing and applying visualization tools to large scientific datasets. During his 20 years at IBM Research he helped develop the IBM Visualization Data Explorer, the first visualization system designed specifically for the large-scale datasets produced in HPC systems. In his 15 years at TACC he has continued to develop visualization tools as well as apply them to a wide range of scientific endeavor. Greg earned his B.A., B.S., Mathematics from University of Florida and a M.S., Ph.D., Computer Science from University of North Carolina-Chapel Hill.
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