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 …

Today's computational, experimental, and observational sciences rely on computations that
involve many related tasks. The success of a scientific mission often hinges on the computer …

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

High quality volume rendering of SPH data requires a complex order-dependent resampling
of particle quantities along the view rays. In this paper we present an efficient approach to …

Machine learning (ML) is being applied in a number of everyday contexts from image
recognition, to natural language processing, to autonomous vehicles, to product …

Experts agree that the exascale machine will comprise processors that contain many cores,
which in turn will necessitate a much higher degree of concurrency. Software will require a …

Parallel volume rendering is implemented and tested on an IBM Blue Gene distributed-
memory parallel architecture. The goal of studying the cost of parallel rendering on a new …

Understanding and tuning the performance of extreme-scale parallel computing systems
demands a streaming approach due to the computational cost of applying offline algorithms …

Extracting and visualizing temporal patterns in large scientific data is an open problem in
visualization research. First, there are few proven methods to flexibly and concisely define …

ParaView is an open-source application for visualizing two-and threedimensional data sets.
The size of the data sets ParaView can handle varies widely depending on the architecture …