Please use this identifier to cite or link to this item:
https://hdl.handle.net/11681/46162| Title: | In situ and time |
| Authors: | Bauer, Andrew C. |
| Keywords: | High performance computing Computer simulation Data sets Information visualization Workflow |
| Publisher: | Engineer Research and Development Center (U.S.) |
| Series/Report no.: | Miscellaneous Paper (Engineer Research and Development Center (U.S.)) ; no. ERDC/ITL MP-22-6 |
| Is Version Of: | This material was originally presented at WOIV21: 5th Workshop on In Situ Visualization, held online on 2 July 2021. |
| Abstract: | Large-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. |
| Description: | Miscellaneous Paper |
| Gov't Doc #: | ERDC/ITL MP-22-6 |
| Rights: | Approved for Public Release; Distribution is Unlimited |
| URI: | https://hdl.handle.net/11681/46162 http://dx.doi.org/10.21079/11681/46162 |
| Size: | 43 pages / 30.72 MB |
| Types of Materials: | |
| Appears in Collections: | Miscellaneous Paper |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| ERDC-ITL MP-22-6.pdf | 30.72 MB | Adobe PDF |  View/Open |