Keynote Speaker: Kelly Gaither

The science community faces two extraordinary and relatively sudden transitions in technology with transformative potential for computational research and education. First is the widespread adoption of high performance computing (HPC). HPC clusters are present in essentially every research campus and institution in the US. The application of this computational power allows for increasingly more accurate answers to scientific problems of global interest. Researchers now benefit from computing at much larger scales, finer resolutions, and longer time horizons. Concurrently, advances in digital technologies (networking, instruments, etc.) have facilitated the generation and capture of observed data at an explosive rate. One of the most notable recent undertakings is the CERN Large Hadron Collider (LHC) which is poised to generate 15 petabytes of raw data per year.

The potential benefits of both large-scale simulation and data collection are only achievable with integrated visualization and data analysis tools. As computational power increases from gigaflops to petaflops, data volume grows from gigabytes to petabytes. Visualization started with the use of illustrations and drawings and is evolving to interactive real-time digital imagery. The human visual system is the work horse that drives the understanding of society's most complex problems. In this talk, I will illustrate the impact that visualization has had in transforming science in both the past and the present, and the promise it holds for impact in our future's most challenging problems.

More information about Kelly Gaither.