Monday, April 8, 2013 - 4:00pm to 4:50pm
KEC 1001

Speaker Information

Hank Childs
Assistant Professor
Department of Computer and Information
University of Oregon

Abstract

Visualization and analysis are critical to the success of the simulation process; they help realize the value of computing by increasing the rate at which new science is discovered. Their techniques are used to confirm that simulations are running correctly, to communicate simulation results to an audience, and, most importantly, to explore data, which is often where new insights are obtained.

As supercomputers get ever larger, simulations are producing increasingly massive data sets. Visualization and analysis techniques must keep pace with these increasing data sizes. In this presentation, I will describe the most common approach for visualizing massive data: parallelization. I will describe the strategies and complexities for a data parallel approach, as well as discuss specifics for particle advection, one of the most challenging algorithms in our field to parallelize and the basis for techniques like streamlines, Poincare plots, and Finite-Time Lyapunov Exponents (FTLE). Finally, I will describe several upcoming challenges, including strategies for visualization and analysis in the context of power-constrained high performance computing.

Speaker Bio

Hank Childs is an Assistant Professor in the Department of Computer and Information 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 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.