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High-performance dynamic graphics streaming for scalable adaptive graphics environment
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Source Conference on High Performance Networking and Computing archive
Proceedings of the 2006 ACM/IEEE conference on Supercomputing table of contents
Tampa, Florida
SESSION: Technical papers table of contents
Article No. 108  
Year of Publication: 2006
ISBN:0-7695-2700-0
Authors
Byungil Jeong  University of Illinois at Chicago
Luc Renambot  University of Illinois at Chicago
Ratko Jagodic  University of Illinois at Chicago
Rajvikram Singh  University of Illinois at Chicago
Julieta Aguilera  University of Illinois at Chicago
Andrew Johnson  University of Illinois at Chicago
Jason Leigh  University of Illinois at Chicago
Sponsors
IEEE : Institute of Electrical and Electronics Engineers
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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ABSTRACT

The Scalable Adaptive Graphics Environment (SAGE) is specialized middleware for enabling data, high-definition video and extremely high-resolution graphics to be streamed in real-time from remotely distributed rendering and storage clusters to scalable display walls over ultra-high-speed networks. In this paper, we present the SAGE architecture, focusing on its dynamic graphics streaming capability. In the SAGE framework, multiple visualization applications can be streamed to large tiled displays and viewed at the same time. The application windows can be moved, resized and overlapped like any standard desktop window manager. Every window movement or resize operation requires dynamic and non-trivial reconfiguration of the involved graphics streams. This approach has been successfully shown to scale to support streaming on the LambdaVision 100 Megapixel display wall. SAGE is now being extended to support distance collaboration with multiple endpoints by streaming visualization to all the participants.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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J. Leigh et al, "An experimental OptIPuter architecture for data-Intensive collaborative visualization," in Third Workshop on Advanced Collaborative Environments, 2003.
 
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L. Childers, T. Disz, R. Olson, M. E. Papka, R. Stevens, and T. Udeshi, "Access Grid: immersive group-to-group collaborative visualization," in Proceedings of Fourth International Immersive Projection Technology Workshop, 2000.
 
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C. Krumbholz, J. Leigh, A. Johnson, L. Renambot, and R. Kooima, "Lambda table: high resolution tiled display table for interacting with large visualizations," in Proceedings of Fifth Workshop on Advanced Collaborative Environments, 2005.
 
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J. T. Klosowski, P. Kirchner, J. Valuyeva, G. Abram, C. Morris, R. Wolfe, and T. Jackman, "Deep view: high-resolution reality," IEEE Computer Graphics and Applications, volume 22, issue 3, pp. 12--15, May/June 2002.
 
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D. Germans, H. J. W. Spoelder, L. Renambot, and H. E. Bal, "VIRPI: a high-level toolkit for interactive scientific visualization in virtual reality," in Proceedings of Immersive Projection Technology/Eurographics Virtual Environments Workshop, 2001.
 
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D. Svistula, J. Leigh, A. Johnson, and P. Morin, "MagicCarpet: a high-resolution image viewer for tiled displays," http://www.evl.uic.edu/cavern/mc.
 
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"Distributed multi-head X project," http://dmx.sourceforge.net/.

CITED BY  5

Collaborative Colleagues:
Byungil Jeong: colleagues
Luc Renambot: colleagues
Ratko Jagodic: colleagues
Rajvikram Singh: colleagues
Julieta Aguilera: colleagues
Andrew Johnson: colleagues
Jason Leigh: colleagues