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https://hdl.handle.net/11681/43042
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DC Field | Value | Language |
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dc.contributor.author | DeMarle, David E. | en_US |
dc.contributor.author | Bauer, Andrew C. | en_US |
dc.creator | Intel Corporation | en_US |
dc.creator | Information Technology Laboratory (U.S.) | en_US |
dc.date.accessioned | 2022-01-26T14:34:01Z | en_US |
dc.date.available | 2022-01-26T14:34:01Z | en_US |
dc.date.issued | 2022-01 | en_US |
dc.identifier.govdoc | ERDC/ITL MP-22-1 | en_US |
dc.identifier.uri | https://hdl.handle.net/11681/43042 | en_US |
dc.identifier.uri | http://dx.doi.org/10.21079/11681/43042 | en_US |
dc.description | Miscellaneous Paper | en_US |
dc.description.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. | en_US |
dc.description.sponsorship | High Performance Computing Modernization Program (U.S.) | en_US |
dc.description.sponsorship | United States. Army. Corps of Engineers | en_US |
dc.format.extent | 14 pages / 916.52 kB | en_US |
dc.format.medium | PDF/A | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | Engineer Research and Development Center (U.S.) | en_US |
dc.relation.ispartofseries | Miscellaneous Paper (Engineer Research and Development Center (U.S.)) ; no. ERDC/ITL MP-22-1 | en_US |
dc.relation.isversionof | 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. | en_US |
dc.rights | Approved for Public Release; Distribution is Unlimited | en_US |
dc.source | This Digital Resource was created in Microsoft Word and Adobe Acrobat | en_US |
dc.subject | Computational modeling | en_US |
dc.subject | Data visualization | en_US |
dc.subject | Data models | en_US |
dc.subject | Catalysis | en_US |
dc.subject | Feature extraction | en_US |
dc.subject | Numerical analysis | en_US |
dc.subject | Analytical models | en_US |
dc.subject | Cache storage | en_US |
dc.title | In situ visualization with temporal caching | en_US |
dc.type | Report | en_US |
Appears in Collections: | Miscellaneous Paper |
Files in This Item:
File | Description | Size | Format | |
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ERDC-ITL MP-22-1 .pdf | ERDC/ITL MP-22-1 | 916.52 kB | Adobe PDF | ![]() View/Open |