Enabling Explorative Visualization with Full Temporal Resolution via In Situ Calculation of Temporal Intervals
| Autor: | Hank Childs, Shaomeng Li, Nicole Marsaglia |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
In situ
Computer science 020207 software engineering 02 engineering and technology 01 natural sciences 010305 fluids & plasmas Visualization Reduction (complexity) Temporal resolution 0103 physical sciences 0202 electrical engineering electronic engineering information engineering Piecewise Coherence (signal processing) Algorithm |
| Zdroj: | Lecture Notes in Computer Science ISBN: 9783030024642 ISC Workshops |
| Popis: | We explore a technique for saving full spatiotemporal simulation data for visualization and analysis. While such data is typically prohibitively large to store, we consider an in situ reduction approach that takes advantage of temporal coherence to make storage sizes tractable in some cases. Rather than limiting our data reduction to individual time slices or time windows, our algorithms act on individual locations and save data to disk as temporal intervals. Our results show that the efficacy of piecewise approximations varies based on the desired error bound guarantee and tumultuousness of the time-varying data. We ran our in situ algorithms for one simulation and experienced promising results compared to the traditional paradigm. We also compared the results to two data reduction operators: wavelets and SZ. |
| Databáze: | OpenAIRE |
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