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dc.contributor.authorBauer, Andrew C.-
dc.creatorInformation Technology Laboratory (U.S.)-
dc.identifier.govdocERDC/ITL MP-22-6-
dc.descriptionMiscellaneous Paperen_US
dc.description.abstractLarge-scale HPC simulations with their inherent I/O bottleneck have made in situ visualization an essential approach for data analysis, although the idea of in situ visualization dates back to the era of coprocessing in the 1990s. In situ coupling of analysis and visualization to a live simulation circumvents writing raw data to disk for post-mortem analysis -- an approach that is already inefficient for today's very large simulation codes. Instead, with in situ visualization, data abstracts are generated that provide a much higher level of expressiveness per byte. Therefore, more details can be computed and stored for later analysis, providing more insight than traditional methods. This workshop encouraged talks on methods and workflows that have been used for large-scale parallel visualization, with a particular focus on the in situ case.en_US
dc.description.sponsorshipHigh Performance Computing Modernization Program (U.S.)en_US
dc.format.extent43 pages / 30.72 MB-
dc.publisherEngineer Research and Development Center (U.S.)en_US
dc.relation.ispartofseriesMiscellaneous Paper (Engineer Research and Development Center (U.S.)) ; no. ERDC/ITL MP-22-6-
dc.relation.isversionofThis material was originally presented at WOIV21: 5th Workshop on In Situ Visualization, held online on 2 July 2021.-
dc.rightsApproved for Public Release; Distribution is Unlimited-
dc.sourceThis Digital Resource was created in Microsoft Word and Adobe Acrobat-
dc.subjectHigh performance computingen_US
dc.subjectComputer simulationen_US
dc.subjectData setsen_US
dc.subjectInformation visualizationen_US
dc.titleIn situ and timeen_US
Appears in Collections:Miscellaneous Paper

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