More Web Proxy on the site http://driver.im/

Article

Parallel-SG: research of parallel graphics rendering system on PC-Cluster

Authors:

Jiaoying ShiAuthors Info & Claims

VRCIA '06: Proceedings of the 2006 ACM international conference on Virtual reality continuum and its applications

Pages 27 - 33

https://doi.org/10.1145/1128923.1128929

Published: 14 June 2006 Publication History

Abstract

This paper presents Parallel-SG, a novel high performance parallel graphics rendering system on PC-Cluster. Parallel-SG employs a hybrid sort-first and sort-last architecture based on retained-mode and aims at interactively rendering of large dataset on tiled display wall. Parallel-SG uses a new rendering and scheduling structure, called dynamic rendering team (DRT as abbreviation), which is composed of multiple PCs instead of single PC to act as a rendering node. DRT gives support to two new technologies: a load-balancing strategy based on slave-migration and an optimized parallel Rendering-Composing-Display(R-C-D) pipeline. The load-balancing strategy follows such principle that adaptively maintaining the computational powers of DRTs to achieve good load balance, i. e. to dynamically redistribute slaves in a DRT according to its workload. The optimized parallel R-C-D pipeline reconstructs the serial workflow in a DRT to parallel one, and along with the outer parallel rendering pipelines among DRTs there forms a special nested parallel pipeline architecture, which promotes the whole rendering performance of our system greatly. Experiments show that the proposed Parallel-SG can render over 13M triangles at an average speed of 12 frames per second without accelerating technologies on a tile-display wall of 5*3 projectors array.

References

[1]

Molnar, S., Cox, M., Ellsworth, D., and Fuchs, H. 1994. A Sorting Classification of Parallel Rendering. IEEE Computer Graphics and Applications, 14, 4, 23--31.

Digital Library

[2]

Samanta, R., Funkhouser, T., LI, K., and Singh, J. P. 2000. Hybrid Sort-First and Sort-Last Parallel Rendering with a Cluster of PCs. In Proceeding of 2000 SIGGRAPH/Eurographics Workshop on Graphics Hardware, 97--108

Digital Library

[3]

Jin, Z. F., Peng, H. Y. and Shi J. Y. 2004. A Data Distributed Sort-first Parallel Rendering System For VR Applications. In Proceeding of the 5th International Conference on Virtual Reality and its Application in Industry, ACM, 184--188

Digital Library

[4]

Peng, H. Y., Jin, Z. F., and Shi, J. Y. 2004. An In-the-Core Parallel Graphics Rendering System for Extreme Large Data Sets Based on Retained-mode. Journal of Software, 15, supplement, 222--229

[5]

Buck, I., Humphreys, G., and Hanrahan, P. 2000. Tracking Graphics State for Networked Rendering. In Proceedings of the 2000 Eurographics/SIGGRAPH Workshop on Graphics Hardware, 87--95

Digital Library

[6]

Humphreys, G., Eldridge, M., Buck, I., Stoll, G., Everett, M., and Hanrahan, L. 2001. WireGL: A Scalable Graphics System for Clusters. In Proceedings of SIGGRAPH 2001, 129--140

Digital Library

[7]

Humphryes, G., Houston, M., and NG, R. 2002. Chromium: A Stream-Processing Framework for Interactive Rendering on Clusters. ACM Transactions on Graphics, 693--702

Digital Library

[8]

Owens, J. D., Dally, W. J., Kapasi, U. J., Rimner, S., Mattson, P., and Mowery, B. 2000. Polygon Rendering on a Stream Architecture. In Proceedings of the 2000 Eurographics/SIGGRAPH Workshop on Graphics Hardware, 23--32

Digital Library

[9]

Bethel, E. W., Humphreys, G., Paul, B., and Brederson, J. D. 2003. Sort-First, Distributed Memory Parallel Visualization and Rendering. In Proceedings of the 2003 IEEE Symposium on Parallel and Large Data Visualization and Graphics PVG, 41--50

Digital Library

[10]

Moreland, K., Thompsont, D. 2003. From Cluster to Wall with VTK. In Proceeding of IEEE Symposium on Parallel and Large-Data Visualization and Graphics 2003, 25--31

Digital Library

[11]

Yang, J., Shi, J. Y., Jin, Z. F. and Zhang, H. 2002. Design and Implementation of A Large-scale Hybrid Distributed Graphics System. In proceeding of 2002 Eurographics Workshop on Parallel Graphics and Visualization, 39--49

Digital Library

[12]

LI, K., Chen, H., Chen, Y. Q., Clark, D. W., and Cook, P. 2002. Early Experiences and Challenges in Building and Using A Scalable Display Wall System. IEEE Computer Graphics and Applications, 20, 4, 671--680

Digital Library

[13]

LI, C., Jin, Z. F., Shi, J. Y., 2003. MSPR: A Retained-Mode Based Multi-Screen Parallel Rendering System. In Proceeding of the 4th International Conference on Virtual Reality and its Application in Industry, 5444, 173--180

[14]

Correa, W. T., Klosowski, J. T., and Silva, C. T. 2002. Out-Of-Core Sort-First Parallel Rendering for Cluster-Based Tiled Displays. In Proceeding of Fourth Eurographics Workshop on Parallel Graphics and Visualization, 89--96

Digital Library

[15]

Yoon, S. E., Salomon, B., Gayle, R., and Manocha, D. 2004. Quick-VDR: Interactive View-Dependent Rendering of Massive Models. IEEE Visualization 2004, 131--138

Digital Library

[16]

Guthe, M., Borodin, P., and Klein, R. 2003. Efficient view-dependent out-of-core visualization. In Proceeding of 4th International Conference on Virtual Reality and its Application in Industry, 5444, 428--438

[17]

Fan, Z., Qiu, F., Kaufman, A., and Stover, S. Y. 2004. GPU Cluster for High Performance Computing. In Proceeding of ACM/IEEE Supercomputing Conference 2004

Digital Library

[18]

Rajagopalan, R., Goswami, D., and Mudur, S. P. 2005. Functionality Distribution for Parallel Rendering. In Proceeding of the 19th IEEE International Parallel&Distributed Processing Symposium

Digital Library

[19]

Roth, M., Voss, G., and Reiners, D. 2004. Multi-Threading and Clustering for Scene Graph Systems. Computers & Graphics, 28, 1, 63--66

Cited By

Martínez VFernando SMolina-Solana MGuo Y(2020) TuorisFuture Generation Computer Systems10.1016/j.future.2020.01.015106:C(559-571)Online publication date: 1-May-2020
https://dl.acm.org/doi/10.1016/j.future.2020.01.015
Zhang YPeng HWang ZShi J(2010)Research and Implementation of Distributed Simulation and Parallel Rendering System Based on GridProceedings of the 2010 First International Conference on Networking and Distributed Computing10.1109/ICNDC.2010.9(3-7)Online publication date: 21-Oct-2010
https://dl.acm.org/doi/10.1109/ICNDC.2010.9
Beaudoin AGoswami DMudur S(2009)Two-phase load distribution for rendering large 3D models on a graphics cluster2009 IEEE International Conference on Cluster Computing and Workshops10.1109/CLUSTR.2009.5289203(1-10)Online publication date: Aug-2009
https://doi.org/10.1109/CLUSTR.2009.5289203
Show More Cited By

Index Terms

Parallel-SG: research of parallel graphics rendering system on PC-Cluster
1. Computer systems organization
  1. Architectures
    1. Other architectures
      1. Special purpose systems
2. Computing methodologies
  1. Computer graphics
    1. Graphics systems and interfaces
  2. Parallel computing methodologies

Recommendations

Sort-last parallel rendering for viewing extremely large data sets on tile displays
PVG '01: Proceedings of the IEEE 2001 symposium on parallel and large-data visualization and graphics

Due to the impressive price-performance of today's PC-based graphics accelerator cards, Sandia National Laboratories is attempting to use PC clusters to render extremely large data sets in interactive applications. This paper describes a sort-last ...
Using Open Source Tool for Developing 3D Graphic Simulations on PC-Clusters
SITIS '08: Proceedings of the 2008 IEEE International Conference on Signal Image Technology and Internet Based Systems

3D graphic simulation is one area of computergraphics field to representing geometry of objectsinto the scene. Scenegraph concept can be used as asolution for the management of geometry and scenesin graphical applications. OpenSceneGraph is oneopen ...
Understanding Parallelization Tradeoffs for Linear Pipelines
PMAM'18: Proceedings of the 9th International Workshop on Programming Models and Applications for Multicores and Manycores

Pipelining techniques execute some loops with cross-iteration dependences in parallel, by partitioning the loop body into a sequence of stages such that the data dependences are not violated. Obtaining good performance for all kinds of loops is ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM Conferences

VRCIA '06: Proceedings of the 2006 ACM international conference on Virtual reality continuum and its applications

June 2006

410 pages

ISBN:1595933247

DOI:10.1145/1128923

Conference Chair:
Hanqiu Sun
Hong Kong

Copyright © 2006 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 14 June 2006

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Article

Conference

VRCIA06

Sponsor:

SIGGRAPH

VRCIA06: ACM International Conference on Virtual Reality Continuum and Its Applications 2006

June 14 - April 17, 2006

Hong Kong, China

Acceptance Rates

Overall Acceptance Rate 51 of 107 submissions, 48%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

4
Total Citations
View Citations
345
Total Downloads

Downloads (Last 12 months)1
Downloads (Last 6 weeks)0

Reflects downloads up to 31 Dec 2024

Other Metrics

View Author Metrics

Citations

Cited By

Martínez VFernando SMolina-Solana MGuo Y(2020) TuorisFuture Generation Computer Systems10.1016/j.future.2020.01.015106:C(559-571)Online publication date: 1-May-2020
https://dl.acm.org/doi/10.1016/j.future.2020.01.015
Zhang YPeng HWang ZShi J(2010)Research and Implementation of Distributed Simulation and Parallel Rendering System Based on GridProceedings of the 2010 First International Conference on Networking and Distributed Computing10.1109/ICNDC.2010.9(3-7)Online publication date: 21-Oct-2010
https://dl.acm.org/doi/10.1109/ICNDC.2010.9
Beaudoin AGoswami DMudur S(2009)Two-phase load distribution for rendering large 3D models on a graphics cluster2009 IEEE International Conference on Cluster Computing and Workshops10.1109/CLUSTR.2009.5289203(1-10)Online publication date: Aug-2009
https://doi.org/10.1109/CLUSTR.2009.5289203
Wang ZXiong HJiang XShi J(2007)Research on Unified Object Model Supporting HLA-based Simulation and Parallel Rendering2007 10th IEEE International Conference on Computer-Aided Design and Computer Graphics10.1109/CADCG.2007.4407876(173-178)Online publication date: Oct-2007
https://doi.org/10.1109/CADCG.2007.4407876

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Media

Figures

Other

Tables

View Table of Contents