A Next Step: Visualizing Errors and Uncertainty
IEEE Computer Graphics and Applications
Visualization Handbook
Top Scientific Visualization Research Problems
IEEE Computer Graphics and Applications
Computing and Visualization in Science
Ensemble-Vis: A Framework for the Statistical Visualization of Ensemble Data
ICDMW '09 Proceedings of the 2009 IEEE International Conference on Data Mining Workshops
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Modern high performance computers have speeds measured in teraflops and petabytes and handle data set sizes measured in terabytes and petabytes. Although these machines offer enormous potential for solving very large-scale realistic computational problems, their effectiveness will hinge upon the ability of human experts to interact with their simulation results and extract useful information. One of the greatest scientific challenges of the 21st century is to effectively understand and make use of the vast amount of information being produced. Visual data analysis will be among our most important tools in helping to understand such large-scale information. Our research at the Scientific Computing and Imaging (SCI) Institute at the University of Utah has focused on innovative techniques for 3D visual data analysis. In this talk, I will present state- of-the-art visualization techniques and software, applied to problems in computational science, engineering, and medicine and discuss current challenges and future opportunities.