Exascale computing will place constraints on I/O, power, data movement, and
architecture. These constraints will likely force many changes in visualization software and its
approaches, including forcing in situ processing to become a dominant paradigm. This talk will
describe Exascale challenges, discuss why and how visualization will look different than it has
before, and describe recent two promising results for this environment, for portable performance
across many-core architectures and for increasing the ability to explore data in situ.
Hank Childs is an Associate Professor in the Department of Computer and Information Science
at the University of Oregon. He received his Ph.D. in computer science from the University of
California at Davis in 2006. Hank's research focuses on scientific visualization, high performance
computing, and the intersection of the two. In July of 2012, Hank received the Department of
Energy's Early Career Award to research visualization with exascale computers (i.e., computers that
can do 10^18 floating operations per second). Hank spent over a dozen years at Lawrence Berkeley
and Lawrence Livermore National Laboratories, directing research in big data visualization. Outside
of his research, Hank is best known as the architect of the
VisIt project, a visualization
application for very large data that is used around the world.