Advertisement

System Design for On-Line Distributed Computational Visualization and Steering

  • Qishi Wu
  • Mengxia Zhu
  • Nageswara S. V. Rao
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3942)

Abstract

We propose a distributed computing framework for network- optimized visualization and steering of real-time scientific simulations and computations executed on a remote host, such as workstation, cluster or supercomputer. Unlike the conventional “batch” simulations, this system enables: (i) monitoring of an on-going remote computation using visualization tools, and (ii) on-line specification of simulation parameters to interactively steer remote computations. Using performance models for transport channels and visualization modules, we develop a dynamic programming method to optimize the realization of the visualization pipeline over a wide-area network to maximize the frame rate. We present experimental results to illustrate the effectiveness of this system.

Keywords

Computing Service Client Node Upstream Node Downstream Node Visualization Module 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Terascale supernova initiative, http://www.phy.ornl.gov/tsi
  2. 2.
  3. 3.
  4. 4.
    Computational engineering international, http://www.ceintl.com/products/ensight.html
  5. 5.
    Brodlie, K., Duce, D., Gallop, J., Sagar, M., Walton, J., Wood, J.: Visualization in grid computing environments. In: Proc. of IEEE Visualization, pp. 155–162 (2004)Google Scholar
  6. 6.
    Stegmaier, S., Magallon, M., Ertl, T.: A generic solution for hardware-accelerated remote visualization. In: Proc. of Data Visualisation, pp. 87–95 (2002)Google Scholar
  7. 7.
    Bethel, W., Tierney, B., Lee, J., Gunter, D., Lau, S.: Using high-speed wans and network data caches to enable remote and distributed visualization. In: Proc. of Supercomputing (2000)Google Scholar
  8. 8.
    Luke, E.J., Hansen, C.D.: Semotus visum: a flexible remote visualization framework. In: Proc. of IEEE Visualization, pp. 61–68 (2002)Google Scholar
  9. 9.
    Bowman, I., Shalf, J., Ma, K., Bethel, W.: Performance modeling for 3d visualization in a heterogeneous computing environment. Technical Report No. 2005-3, Department of Computer Science, University of California at Davis (2005)Google Scholar
  10. 10.
    Kaufman, A.: Trends in visualization and volume graphics, Scientific Visualization Advances and Challenges. IEEE Computer Society Press, Los Alamitos (1994)Google Scholar
  11. 11.
    Common data format, http://nssdc.gsfc.nasa.gov/cdf
  12. 12.
    Hierarchical data format, http://hdf.ncsa.uiuc.edu
  13. 13.
  14. 14.
    Wu, Q., Rao, N.S.V., Iyengar, S.S.: On transport daemons for small collaborative applications over wide-area networks. In: Proc. of the 24th IEEE International Performance Computing and Communications Conference, Phoenix, Arizona, April 7-9 (2005)Google Scholar
  15. 15.
    Doe ultrasciencenet, http://www.csm.ornl.gov/ultranet

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Qishi Wu
    • 1
  • Mengxia Zhu
    • 1
  • Nageswara S. V. Rao
    • 1
  1. 1.Computer Science and Mathematics DivisionOak Ridge National LaboratoryOak Ridge

Personalised recommendations