Several existing volume rendering algorithms operate by factoring the viewing
transformation into a 3D shear parallel to the data slices, a projection to form an intermediate …

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 …

The paper proposes a scheme to perform volume rendering from compressed scalar data.
Instead of decompressing the entire data set before rendering, blocks of data are …

An image processing apparatus for performing rendering processing of three-dimensional
objects is provided. An object storage unit stores the three-dimensional data of the object …

The ever-increasing amounts of simulation data produced by scientists demand high-end
parallel visualization capability. However, image compositing, which requires interprocessor …

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 …

Data sets of immense size are regularly generated on large scale computing resources.
Even among more traditional methods for acquisition of volume data, such as MRI and CT …

The computational expense of volume rendering motivates the development of parallel
implementations on multicomputers. Parallelism achieves higher frame rates, which provide …

With the computing industry trending toward multi-and many-core processors, we study how
a standard visualization algorithm, raycasting volume rendering, can benefit from a hybrid …