Massively parallel software rendering for visualizing large-scale data sets

Kwan-Liu Ma, Steven Parker

Research output: Contribution to journalArticle

19 Scopus citations

Abstract

Two different algorithms for rendering large-scale data sets on a parallel machine are described. The first algorithm is designed for distributed-memory parallel architectures to render unstructured-grid volume data. The second one is designed for shared-memory parallel architectures to directly render isosurfaces. For large data sets and smaller images, the ray-tracing method can outperform high-end graphics hardware.

Original languageEnglish (US)
Pages (from-to)72-83
Number of pages12
JournalIEEE Computer Graphics and Applications
Volume21
Issue number4
DOIs
StatePublished - Jul 1 2001

ASJC Scopus subject areas

  • Software
  • Computer Graphics and Computer-Aided Design

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