Topological Analysis of Large Scale Simulations (TALASS)
Our goal is to define, extract, and analyze features in the increasingly large and complex datasets produced by state- of- […]
Research
Morse-Smale Complex Extraction, Exploration, and Reasoning (MSCEER)
MSCEER is a set of tools and libraries for feature extraction and exploration in scalar fields. MSCEER computes a gradient-based
The Natural Helmholtz-Hodge Decomposition
The natural Helmholtz-Hodge decomposition (nHHD) is a new variant of the well-known vector field decompositions called the Helmholtz-Hodge decomposition (HHD).
Representing and Operating on Uncertain Data Distributions
This work combines geometric data analysis and uncertainty by focusing on representing distributions of outputs, not just most likely or
NDDAV: N-Dimensional Data Analysis and Visualization
Problem At the core we need to analyze and visualize high dimensional functions to extract unknown interactions or relations Understanding
ViSOAR for Agriculture
ViSOAR solutions by ViSUS provides fast reading and writing of 2D, 3D, or multidimensional grid data for platform agnostic collaborative
Intel Parallel Computing Center for Data Analysis and Visualization
The IPCC at the University of Utah will focus on advancing the state-of-the-art in large-scale visualization through a combination of
Evolution of the Medical Classroom
Introducing ViSOAR As data acquisition advances, and data sizes increase, the need for tools to process and visualize the results
Generalized Voronoi Diagrams
Generalized Voronoi Diagrams (GVDs) have far-reaching applications in robotics, visualization, graphics, and simulation. However, while the ordinary Voronoi Diagram has
PIDX
Hierarchical, multiresolution data representations enable interactive analysis and visualization of large-scale simulations. One promising application of these techniques is to