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 …

Large-scale analysis and visualization is becoming increasingly important as
supercomputers and their simulations produce larger and larger data. These large data …

CPU Ray tracing in scientific visualization has been shown to be an efficient rendering
algorithm for large-scale polygonal data on distributed-memory systems by using custom …

Ray tracing in scientific visualization allows for substantial gains in performance and
rendering quality with large scale polygonal datasets compared to brute-force rasterization …

Realistic rendering that relies on physically correct laws of propagation and accumulation of
light energy, is used for solving a wide range of applied problems, including virtual …

Nowadays, optical designers often use multiprocessor workstations for the virtual
prototy** of complex optical systems. Modern workstations may have several CPUs with …

The SciDAC Institute for Ultrascale Visualization brought together leading experts from
visualization, high-performance computing, and science application areas to make …

We present a parallel visualization algorithm for the illustrative rendering of depth-
dependent stylized dense tube data at interactive frame rates. While this computation could …

Ray tracing presents an efficient rendering algorithm for scientific visualization using
common visualization tools and scales with increasingly large geometry counts while …

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 …