In situ visualization is clearly a promising solution for ultrascale simulations. We've seen
some success in realizing this solution and in ongoing efforts to add support for in situ …

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

As scientific supercomputing moves toward petascale and exascale levels, in situ
visualization stands out as a scalable way for scientists to view the data their simulations …

This survey gives an overview of the current state of the art in GPU techniques for interactive
large‐scale volume visualization. Modern techniques in this field have brought about a sea …

A turbulent lifted slot-jet flame is studied using direct numerical simulation (DNS). A one-step
chemistry model is employed with a mixture-fraction-dependent activation energy which can …

Collective communication operations can dominate the cost of large-scale parallel
algorithms. Image compositing in parallel scientific visualization is a reduction operation …

The only proven method for performing distributed-memory parallel rendering at large
scales, tens of thousands of nodes, is a class of algorithms called sort last. The fundamental …

High performance computing systems are today composed of tens of thousands of
processors and deep memory hierarchies. The next generation of machines will further …

In this paper, we present an effective and scalable system for multivariate volume data
visualization and analysis with a novel transfer function interface design that tightly couples …

Graphs represent general node‐link diagrams and have long been utilized in scientific
visualization for data organization and management. However, using graphs as a visual …