Extreme Scale Visual Analytics

Visual analytics is defined as "the science of analytical reasoning facilitated by interactive visual interfaces" in the literature. Extreme scale visual analytics is about applying visual analytics to extreme-scale datasets of sizes ranging from petabyte today to exabyte in the next five years. This talk presents the U.S. Department of Energy (DOE)'s vision and missions on scientific data analytics, discusses a climate analytics research project currently being investigated at the Pacific Northwest National Laboratory, and describes the top-ten interaction challenges in extreme scale visual analytics. The talk also evaluates the likelihood of success in meeting these challenges in the near future.
Pak Chung Wong is a chief scientist in information analytics at the Pacific Northwest National Laboratory in Richland, Washington. His research background is in visualization and visual analytics with focuses on extreme scale data analytics, graph analytics, multimedia analytics, and national security analytics. Currently, he serves on the editorial boards of IEEE Computer Graphics and Applications (CG&A) and Information Visualization (IVS). In 2012, he will co-chair the IEEE VisWeek Conference in Seattle, Washington and the SPIE Visual Data Analysis (VDA) Conference in San Francisco, California. In the past, he has served as a conference chair, program chair, and papers chair at visualization conferences from IEEE Visualization (Vis), IEEE Information Visualization Conference (InfoVis), and IEEE Symposium on Visual Analytics Science and Technology (VAST). He received a PhD in computer science from the University of New Hampshire.