The Dataflow Visualization Pipeline as a Problem Solving Environment

  • Helen Wright
  • Ken Brodlie
  • Martin Brown
Part of the Eurographics book series (EUROGRAPH)


Visualization systems based on the dataflow paradigm are enjoying increasing popularity in the field of scientific computation. Not only do they permit rapid construction of a display application, but they also allow the simulation to be incorporated, giving the scientist the opportunity to interact with the calculation as well. However, if these systems are to realise their full potential for problem solving, additional support must be given for the iterative investigation which characterises this activity. This paper will review these systems, identify some of their shortcomings as problem solving environments and describe current work which addresses these deficiencies. An implementation of our ideas for the IRIS Explorer system will demonstrate their effectiveness in a study of gas turbine exhaust emissions.


Computer Graphic Visualization System Scientific Visualization Render Module IEEE Visualization 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Gordon Cameron. Modular visualization environments: Past, present and future. Computer Graphics, 29(2):3–4, 1995.CrossRefGoogle Scholar
  2. 2.
    Hambleton D. Lord. Improving the application development process with modular visualization environments. Computer Graphics, 29(2):10–12, 1995.CrossRefGoogle Scholar
  3. 3.
    David Foulser. IRIS explorer: A framework for investigation. Computer Graphics, 29(2):13–16, 1995.CrossRefGoogle Scholar
  4. 4.
    Greg Abram and Lloyd Treinish. An extended data-flow architecture for data analysis and visualization. Computer Graphics, 29(2):17–21, 1995.CrossRefGoogle Scholar
  5. 5.
    Mark Young, Danielle Argiro, and Steven Kubica. Cantata: Visual programming environment for the Khoros system. Computer Graphics, 29(2):22–24, 1995.CrossRefGoogle Scholar
  6. 6.
    R. Marshall, J. Kempf, S. Dyer, and C. Yen. Visualization methods and simulation steering for a 3D turbulence model for Lake Erie. ACM SIGGRAPH Computer Graphics, 24(2):89–97, 1990.CrossRefGoogle Scholar
  7. 7.
    G.D. Kerlick and E. Kirby. Towards interactive steering, visualization and animation of unsteady finite element simulations. In G.M. Nielson and D. Bergeron, editors, Proceedings of IEEE Visualization 1993 Conference, pages 374–377, Los Alamitos, CA, 1993. IEEE Computer Society Press.Google Scholar
  8. 8.
    C. Upson, T. Faulhaber, D. Kamins, D. Laidlaw, D. Schlegel, J. Vroom, R. Gurwitz, and A. van Dam. The Application Visualization System: A computational environment for scientific visualization. IEEE Computer Graphics and Applications, 9(4):30–42, 1989.CrossRefGoogle Scholar
  9. 9.
    R.B. Haber and D.A. McNabb. Visualization idioms: A conceptual model for scientific visualization systems. In B. Shriver G.M. Nielson and L.J. Rosenblum, editors, Visualization in Scientific Computing, pages 74–93. IEEE, 1990.Google Scholar
  10. 10.
    Ken Brodlie, Lesley Brankin, Greg Banecki, Alan Gay, Andrew Poon, and Helen Wright. GRASPARC: A problem solving environment integrating computation and visualization. In G.M. Nielson and D. Bergeron, editors, Proceedings of IEEE Visualization 1993 Conference, pages 102–109, Los Alamitos, CA, 1993. IEEE Computer Society Press.Google Scholar
  11. 11.
    H. Wright, G.A. Stead, and K. W. Brodlie. Interactive exploration of chemical reaction mechanisms using novel visualization and integration techniques. In M. Gobel, H. Muller, and B. Urban, editors, Visualization in Scientific Computing, Eurographics, pages 166–173. Springer-Verlag, 1995.Google Scholar
  12. 12.
    Ken Brodlie and Helen Wright. From a Modular Visualization Environment to an environment for computational problem solving. Computer Graphics, 29(2):29–32, 1995.CrossRefGoogle Scholar
  13. 13.
    H. Wright and J.P.R.B. Walton. HyperScribe: A data management facility for the dataflow visualization pipeline. IRIS Explorer Technical Report IETR/4, NAG Ltd, 1996.Google Scholar
  14. 14.
    M.J. Brown, D.P. Graham, B. Strugnell, and R.M. Davies. Environmental impact of gas turbine CHP systems. In Proceedings of 1995 International Gas Research Conference, pages 491–500. Vol. V Industrial Utilisation, 1995.Google Scholar
  15. 15.
    R.J. Kee and J.A. Miller. A structured approach to the computational modelling of chemical kinetics and molecular transport in flowing sustems. Technical Report SAND86-8841, Sandia National Laboratories, Livermore, California, Reprinted 1993.Google Scholar
  16. 16.
    Jason Wood, Helen Wright, and Ken Brodlie. CSCV — Computer Supported Collaborative Visualization. In Proceedings of BCS Displays Group International Conference on Visualization and Modelling, 1995.Google Scholar

Copyright information

© Springer-Verlag/Wien 1996

Authors and Affiliations

  • Helen Wright
    • 1
  • Ken Brodlie
    • 1
  • Martin Brown
    • 2
  1. 1.School of Computer StudiesUniversity of LeedsLeedsUK
  2. 2.British Gas plcGas Research CentreLoughboroughUK

Personalised recommendations