Abstract
Visualization is an important part of numerous simulation workflows. It helps users intuitively discover artifacts in their data, because it directly makes use of one of human’s fundamental sense: “vision”. Also, it does not require as much effort as raw data analysis. There are several usable workflows depending on current needs, each one using a different visualization approach. With the increasing power of computation machines, now easily reaching the teraflops barrier, the amount of data to handle might be a bottleneck for commodity rendering hardware. Visualization therefore needs specific tools in order to cope with this issue. This paper provides an overview on the different workflows with their strengths and weaknesses as well as their best usage. It will also focus on concrete examples of large-scale visualization and finally present one application suited for a particular workflow.
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Kleijer, P. (2007). Visualization: Insight on Your Work. In: Resch, M., Bönisch, T., Tiyyagura, S., Furui, T., Seo, Y., Bez, W. (eds) High Performance Computing on Vector Systems 2006. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-68743-6_5
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DOI: https://doi.org/10.1007/978-3-540-68743-6_5
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