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Center for Nonlinear Studies |
In situ processing is likely to play a prominent role in visualizing and analyzing data on exascale platforms. In this presentation, I will cover three major themes. First, I will discuss the diversity of approaches that all fall within the in situ theme, with respect to axes such as data access, proximity, division of resources, etc. Second, I will discuss some of the challenges with in situ processing, and efforts underway to solve these challenges. Third, I will discuss the opportunities inherent to in situ processing, and why this paradigm may allow us to do better science than we could previously. Biography: Hank Childs is an Associate Professor in the Computer and Information Science Department 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. Outside of his research, Hank is best known for his role in the VisIt project, a visualization application for very large data that is used around the world. Before joining UO, Hank spent over a dozen years at Lawrence Berkeley and Lawrence Livermore National Laboratories working in big data visualization.
Host: Lo, Li-Ta (Ollie)