Please use this identifier to cite or link to this item: https://hdl.handle.net/11681/43042
Title: In situ visualization with temporal caching
Authors: DeMarle, David E.
Bauer, Andrew C.
Keywords: Computational modeling
Data visualization
Data models
Catalysis
Feature extraction
Numerical analysis
Analytical models
Cache storage
Publisher: Engineer Research and Development Center (U.S.)
Series/Report no.: Miscellaneous Paper (Engineer Research and Development Center (U.S.)) ; no. ERDC/ITL MP-22-1
Is Version Of: DeMarle, David E., and Andrew C. Bauer. "In Situ Visualization With Temporal Caching," in Computing in Science & Engineering, vol. 23, no. 3, pp. 25-33, 1 May-June 2021, 10.1109/MCSE.2021.3069439.
Abstract: In situ visualization is a technique in which plots and other visual analyses are performed in tandem with numerical simulation processes in order to better utilize HPC machine resources. Especially with unattended exploratory engineering simulation analyses, events may occur during the run, which justify supplemental processing. Sometimes though, when the events do occur, the phenomena of interest includes the physics that precipitated the events and this may be the key insight into understanding the phenomena that is being simulated. In situ temporal caching is the temporary storing of produced data in memory for possible later analysis including time varying visualization. The later analysis and visualization still occurs during the simulation run but not until after the significant events have been detected. In this article, we demonstrate how temporal caching can be used with in-line in situ visualization to reduce simulation run-time while still capturing essential simulation results.
Description: Miscellaneous Paper
Gov't Doc #: ERDC/ITL MP-22-1
Rights: Approved for Public Release; Distribution is Unlimited
URI: https://hdl.handle.net/11681/43042
http://dx.doi.org/10.21079/11681/43042
Appears in Collections:Miscellaneous Paper

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