Parallel volume ray-casting for unstructured-grid data on distributed-memory architectures

Research output: Contribution to conferencePaperpeer-review

48 Scopus citations


As computing technology continues to advance, computational modeling of scientific and engineering problems produces data of increasing complexity: large in size and unstructural in shape. Volume visualization of such data is a challenging problem. This paper proposes a distributed parallel solution that makes ray-casting volume rendering of unstructured-grid data practical. Both the data and the rendering process are distributed among processors. At each processor, ray-casting of local data is performed independent of the other processors. The global image compositing processes, which require inter-processor communication, are overlapped with the local ray-casting processes to achieve maximum parallel efficiency. This algorithm differs from previous ones in four ways: it is completely distributed, less view-dependent, reasonably scalable, and flexible. Without dynamic load balancing, test results on the Intel Paragon using from two to 128 processors show, on average, about 60% parallel efficiency.

Original languageEnglish (US)
Number of pages8
StatePublished - Dec 1 1995
Externally publishedYes
EventProceedings of the 1995 Parallel Rendering Symposium - Atlanta, GA, USA
Duration: Oct 30 1995Oct 31 1995


OtherProceedings of the 1995 Parallel Rendering Symposium
CityAtlanta, GA, USA

ASJC Scopus subject areas

  • Engineering(all)


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