Parallel volume-rendering algorithm performance on mesh-connected multicomputers

@inproceedings{Neumann1993ParallelVA,
  title={Parallel volume-rendering algorithm performance on mesh-connected multicomputers},
  author={Ulrich Neumann},
  booktitle={PRS '93},
  year={1993}
}
This work examines the network performance of meshconnected multicomputers applied to parallel volume rendering algorithms. This issue has not been addressed in papers describing particular parallel implementations, but is pertinent to anyone dcsigning or implementing parallel rendering algorithms. Parallel volume rendering algorithms fall into two main classes image and object partitions. Communication requirements for algorithms in these classes are analyzed. Network performance for these… CONTINUE READING
Highly Cited
This paper has 94 citations. REVIEW CITATIONS

Citations

Publications citing this paper.
Showing 1-10 of 59 extracted citations

A configurable algorithm for parallel image-compositing applications

Proceedings of the Conference on High Performance Computing Networking, Storage and Analysis • 2009
View 4 Excerpts
Highly Influenced

RenderingUsing Binary-Swap

ImageCompositionKwan, - Liu, MaICASE
1994
View 9 Excerpts
Highly Influenced

Extensions to Permutation Warping for Parallel Volume Rendering

Parallel Computing • 1998
View 4 Excerpts
Highly Influenced

Performance Modeling of In Situ Rendering

SC16: International Conference for High Performance Computing, Networking, Storage and Analysis • 2016
View 1 Excerpt

Pipelining image compositing in heterogeneous networking environments

Journal of Visualization and Computer Animation • 2016
View 2 Excerpts

Multi-step image compositing for massively parallel rendering

2014 International Conference on High Performance Computing & Simulation (HPCS) • 2014
View 2 Excerpts

94 Citations

0510'94'99'05'11'17
Citations per Year
Semantic Scholar estimates that this publication has 94 citations based on the available data.

See our FAQ for additional information.

Similar Papers

Loading similar papers…