With increasing computing power, it is possible to process more complex fluid simulations.
However, a gap between increasing data size and our ability to visualize them still remains …

With ever increasing computing power, it is possible to process ever more complex fluid
simulations. However, a gap between data set sizes and our ability to visualize them …

Understanding vector fields resulting from large scientific simulations is an important and
often difficult task. Streamlines, curves that are tangential to a vector field at each point, are a …

Characteristic curves of vector fields include stream, path, and streak lines. Stream and path
lines can be obtained by a simple vector field integration of an autonomous ODE system, ie …

Integral surfaces are ideal tools to illustrate vector fields and fluid flow structures. However,
these surfaces can be visually complex and exhibit difficult geometric properties, owing to …

Time and streak surfaces are ideal tools to illustrate time-varying vector fields since they
directly appeal to the intuition about coherently moving particles. However, efficient …

Stream surfaces are an intuitive approach to represent 3D vector fields. In many cases,
however, they are challenging objects to visualize and to understand, due to a high degree …

Applying certain visualization techniques to datasets described on unstructured grids
requires the interpolation of variables of interest at arbitrary locations within the dataset's …

Particle tracing in time-varying flow fields is traditionally performed by numerical integration
of the underlying vector field. This procedure can become computationally expensive …

Particle advection is the fundamental kernel behind most vector field visualization methods.
Yet, the efficient parallel computation of large amounts of particle traces remains …