MPI-hybrid Parallelism for Volume Rendering on Large, Multi-core Systems

Parallel volume rendering is one of the most efficient techniques to achieve real time visualization of large datasets by distributing the data and the rendering process over a

In ab- stract terms, a sampling algorithm takes a data set as input, as well as parameters describing the volume rendering re- quirements: the view frustum (i.e. camera location,

one node, as the memory footprint of the two processes exceeded 8 GB. We also performed a detailed evaluation of the different steps of the two main stages

We compared our algorithm with other recent hardware- based volume rendering algorithms, based on the ray casting paradigm, and on a hybrid version mixing ray casting and

This paper examines the second benefit, large numbers of tightly connected processor nodes, within the context of a parallel ray casting volume rendering algorithm implemented on

Figure 1: Different visualization algorithms like volume rendering, maximum intensity projection, isosurface rendering and diffusion tensor imaging techniques can be used to process

Ljung has published several papers in international conferences and journals including IEEE Visualization, Eurographics conferences, IEEE TVCG and others, on volume rendering of

• Development of a medical volume visualization tool based on a Light Field display.. Volumetric data