Visualization research often seeks designs that first establish an overview of the data, in
accordance to the information seeking mantra:“Overview first, zoom and filter, then details on …

The growing power and capacity of supercomputers enable scientific simulations at extreme
scale, leading to not only more accurate modeling and greater predictive ability but also …

The development of usable visualization solutions is essential for ensuring both their
adoption and effectiveness. User-centered design principles, which involve users …

Spatial statistical analysis of multivariate volumetric data can be challenging due to scale,
complexity, and occlusion. Advances in topological segmentation, feature extraction, and …

With this work, we explore the feasibility of using in situ data binning techniques to achieve
significant data reductions for particle data, and study the associated errors for several post …

Visualizing distributions from data samples as well as spatial and temporal trends of multiple
variables is fundamental to analyzing the output of today's scientific simulations. However …

Scientists visualize their data and interact with them on computers in order to thoroughly
understand them. Nowadays, data become so large and complex that it is impossible to …

Scientific computing is no longer be purely about how fast computations can be performed.
Energy constraints, processor changes, and I/O limitations necessitate significant changes in …

The development and design of visualization solutions that are truly usable is essential for
ensuring both their adoption and effectiveness. User-centered design principles, which …