An Image-Based Approach to Scientific Visualization
Sponsor: Department of Energy (DOE)
Effective analysis requires continuous thought and rapid feedback to queries (visual queries for scientific visualization). This method requires a substantial paradigm shift from the current method of storing all of the data for later analysis. This work offers such a shift in paradigms. It is built upon the premise that many precomputed "animations" can be constructed to satisfy more than 90% of a user's queries about the simulation. With training, experience, and the right tools, we can approach 100%. Compare this to current visualization tools, which can be applied to answer most (but not all) queries on a single data set, but offer little support for multiple data sets. The latency involved in using these tools with very large data sets, tries even the most patient scientist. As a result, many questions are left unanswered for even a single data set, because of this formidable bottleneck.
The long term objective of this research is to develop a more synchronous compute and investigate procedure that will not require the user to manipulate cumbersome and prodigious computational data.
Funding for this project is made possible through a grant from the U.S. Department of Energy
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