The most common abstraction used by visualization libraries and applications today is what
is known as the visualization pipeline. The visualization pipeline provides a mechanism to …

VisIt is a popular open source tool for visualizing and analyzing data. It owes its success to
its foci of increasing data understanding, large data support, and providing a robust and …

Visualization and analysis tools, techniques, and algorithms have undergone a rapid
evolution in recent decades to accommodate explosive growth in data size and complexity …

Severe I/O bottlenecks on High End Computing platforms call for running data analytics in
situ. Demonstrating that there exist considerable resources in compute nodes un-used by …

Particle tracing for streamline and path line generation is a common method of visualizing
vector fields in scientific data, but it is difficult to parallelize efficiently because of demanding …

Streamline computation in a very large vector field data set represents a significant
challenge due to the nonlocal and data-dependent nature of streamline integration. In this …

Because of the ever increasing size of output data from scientific simulations,
supercomputers are increasingly relied upon to generate visualizations. One use of …

We present a set of building blocks that provide scalable data movement capability to
computational scientists and visualization researchers for writing their own parallel analysis …

Ensemble run simulations are becoming increasingly widespread. In this work, we couple
particle advection with pathline analysis to visualize and reveal the differences among the …

Many data-intensive scientific analysis techniques require global domain traversal, which
over the years has been a bottleneck for efficient parallelization across distributed-memory …