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From Cluster to Wall with VTK

Authors:

Kenneth Moreland,

David ThompsonAuthors Info & Claims

PVG '03: Proceedings of the 2003 IEEE Symposium on Parallel and Large-Data Visualization and Graphics

Page 5

https://doi.org/10.1109/PVGS.2003.1249039

Published: 20 October 2003 Publication History

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Abstract

This paper describes a new set of parallel rendering components for VTK, the Visualization Toolkit. The parallel rendering units allow for the rendering of vast quantities of geometry with a focus on cluster computers. Furthermore, the geometry may be displayed on tiled displays at full or reduced resolution. We demonstrate an interactive VTK application processing an isosurface consisting of nearly half a billion triangles and displaying on a power wall with a total resolution of 63 million pixels. We also demonstrate an interactive VTK application displaying the same geometry on a desktop connected to the cluster via a TCP/IP socket over 100BASE-T Ethernet.

References

[1]

AHRENS, J., LAW, C., SCHROEDER, W., MARTIN, K., AND PAPKA, M. 2000. A parallel approach for efficiently visualizing extremely large, time-varying datasets. Tech. Rep. LAUR-00-1620, Los Alamos National Laboratory.

Google Scholar

[2]

AHRENS, J., BRISLAWN, K., MARTIN, K., GEVECI, B., LAW, C. C., AND PAPKA, M. E. 2001. Large-scale data visualization using paralle data streaming. IEEE Computer Graphics and Applications 21, 4 (July/August), 34-41.

Digital Library

Google Scholar

[3]

HEERMANN, P. D. 1999. Production visualization for the ASCI one TeraFLOPS machine. In Proceedings of Visualization '99, 459-462.

Digital Library

Google Scholar

[4]

HUMPHREYS, G., HOUSTON, M., NG, R., FRANK, R., AHERN, S., KIRCHNER, P. D., AND KLOSOWSKI, J. T. 2002. Chromium: A stream-processing framework for interactive rendering on clusters. In Proceedings of ACM SIGGRAPH 2002, vol. 21 of acm Transactions on Graphics, 693-702.

Digital Library

Google Scholar

[5]

LAW, C. C., HENDERSON, A., AND AHRENS, J. 2001. An application architecture for large data visualization: A case study. In Proceedings of the IEEE 2001 Symposium on Parallel and Large-Data Visualization and Graphics, 125-128.

Digital Library

Google Scholar

[6]

MORELAND, K., WYLIE, B., AND PAVLAKOS, C. 2001. Sort-last parallel rendering for viewing extremely large data sets on tile displays. In Proceedings of the IEEE 2001 Symposium on Parallel and Large-Data Visualization and Graphics, 85-92.

Digital Library

Google Scholar

[7]

SAMANTA, R., ZHENG, J., FUNKHOUSER, T., LI, K., AND SINGH, J. P. 1999. Load balancing for multi-projector rendering systems. In SIGGRAPH/Eurographics Workshop on Graphics Hardware, 107-116.

Digital Library

Google Scholar

[8]

SCHROEDER, W., MARTIN, K., AND LORENSEN, B. 2002. The Visualization Toolkit, 3nd ed. Kitware, Inc. ISBN 1-930934-07-6.

Google Scholar

[9]

SMITH, P. H., AND VAN ROSENDALE, J. 1998. Data and visualization corridors, report on the 1998 DVC workshop series. Tech. Rep. CACR- 164, Center for Advanced Computing Research, September.

Google Scholar

[10]

STOLL, G., ELDRIDGE, M., PATTERSON, D., WEBB, A., BERMAN, S., LEVY, R., CAYWOOD, C., TAVERIA, M., HUNT, S., AND HANRAHAN, P. 2001. Lighting-2: A high-performance display subsystem for PC clusters. In Proceedings of ACMSIGGRAPH 2001, Computer Graphics, 141-148.

Digital Library

Google Scholar

Cited By

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Abidi FPolys NRajamohan SArsenault LMohammed AWatson LSosonkina MThacker WWeinbub J(2018)Remote high performance visualization of big data for immersive scienceProceedings of the High Performance Computing Symposium10.5555/3213069.3213074(1-12)Online publication date: 15-Apr-2018
https://dl.acm.org/doi/10.5555/3213069.3213074
Vazhenin DVazhenin AHerder JMiura K(2012)Cloud-based web-service for health 2.0Proceedings of the 2012 Joint International Conference on Human-Centered Computer Environments10.1145/2160749.2160800(240-243)Online publication date: 8-Mar-2012
https://dl.acm.org/doi/10.1145/2160749.2160800
Vo HCallahan SSmith NSilva CMartin WOwen DWeinstein D(2007)iRunProceedings of the 7th Eurographics conference on Parallel Graphics and Visualization10.5555/2386154.2386169(93-100)Online publication date: 20-May-2007
https://dl.acm.org/doi/10.5555/2386154.2386169
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From Cluster to Wall with VTK
1. Computing methodologies
  1. Computer graphics

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PVG '03: Proceedings of the 2003 IEEE Symposium on Parallel and Large-Data Visualization and Graphics

October 2003

116 pages

ISBN:076952091X

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IEEE Computer Society

United States

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Published: 20 October 2003

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Abidi FPolys NRajamohan SArsenault LMohammed AWatson LSosonkina MThacker WWeinbub J(2018)Remote high performance visualization of big data for immersive scienceProceedings of the High Performance Computing Symposium10.5555/3213069.3213074(1-12)Online publication date: 15-Apr-2018
https://dl.acm.org/doi/10.5555/3213069.3213074
Vazhenin DVazhenin AHerder JMiura K(2012)Cloud-based web-service for health 2.0Proceedings of the 2012 Joint International Conference on Human-Centered Computer Environments10.1145/2160749.2160800(240-243)Online publication date: 8-Mar-2012
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Vo HCallahan SSmith NSilva CMartin WOwen DWeinstein D(2007)iRunProceedings of the 7th Eurographics conference on Parallel Graphics and Visualization10.5555/2386154.2386169(93-100)Online publication date: 20-May-2007
https://dl.acm.org/doi/10.5555/2386154.2386169
Cedilnik AGeveci BMoreland KAhrens JFavre J(2006)Remote large data visualization in the paraview frameworkProceedings of the 6th Eurographics conference on Parallel Graphics and Visualization10.5555/2386124.2386152(163-170)Online publication date: 11-May-2006
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Manssour IFernandes LFreitas CSerra GNunes T(2005)High performance approach for inner structures visualisation in medical dataInternational Journal of Computer Applications in Technology10.1504/IJCAT.2005.00680022:1(23-33)Online publication date: 1-Apr-2005
https://dl.acm.org/doi/10.1504/IJCAT.2005.006800

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Sort-last parallel rendering for viewing extremely large data sets on tile displays

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