Large-scale simulations can easily produce data in excess of what can be efficiently
visualized using production visualization software, making it challenging for scientists to …

Modern supercomputers have thousands of nodes, each with CPUs and/or GPUs capable of
several teraflops. However, the network connecting these nodes is relatively slow, on the …

Leading-edge HPC systems have already been generating a vast amount of time-varying
complex data sets, and future-generation HPC systems are expected to produce much …

Algorithms for sort-last parallel volume rendering on large distributed memory machines
usually divide a dataset equally across all nodes for rendering. Depending on the features …

We present a system for interactive in situ visualization of large particle simulations, suitable
for general CPU-based HPC architectures. As simulations grow in scale, in situ methods are …

We present a novel partial reduction algorithm to aggregate sparsely distributed
intermediate results that are generated by data-parallel analysis and visualization …

Scientific ray tracing now can include realistic shading and material properties, but tracing
rays through partitioned data to calculate global illumination is inefficient because of the I/O …

With the increasing of computing ability, large-scale simulations have been generating
massive amounts of data in aerodynamics. Sort-last parallel rendering is the most classical …

The aim of direct volume rendering is to facilitate exploration and understanding of three-
dimensional scalar fields referred to as volume datasets. Improving understanding is done …