Abstract
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.
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Wright, H., Brodlie, K., Brown, M. (1996). The Dataflow Visualization Pipeline as a Problem Solving Environment. In: Göbel, M., David, J., Slavik, P., van Wijk, J.J. (eds) Virtual Environments and Scientific Visualization ’96. Eurographics. Springer, Vienna. https://doi.org/10.1007/978-3-7091-7488-3_27
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DOI: https://doi.org/10.1007/978-3-7091-7488-3_27
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