Massively parallel software rendering for visualizing large-scale data sets

Abstract

We describe two highly scalable, parallel software volume-rendering algorithms - one renders unstructured grid volume data and the other renders isosurfaces. We designed one algorithm for distributed-memory parallel architectures to render unstructured grid volume data. We designed the other for shared-memory parallel architectures to directly render isosurfaces. Through the discussion of these two algorithms, we address the most relevant issues when using massively parallel computers to render large-scale volumetric data. The focus of our discussion is direct rendering of volumetric data.