Abstract
Data models are required to provide the semantics of the underlying data stream for in situ visualization. In this paper we describe a set of metrics for such a data model that are useful in meeting the needs of the scientific community for visualization. We then present Fides, a library that provides a schema for the VTK-m data model, and uses the ADIOS middleware library for access to streaming data. We present four use cases of Fides in different scientific workflows, and provide an evaluation of each use case against our metrics.
| Original language | English |
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| Title of host publication | High Performance Computing - ISC High Performance Digital 2021 International Workshops, 2021, Revised Selected Papers |
| Editors | Heike Jagode, Hartwig Anzt, Hatem Ltaief, Piotr Luszczek |
| Publisher | Springer Science and Business Media Deutschland GmbH |
| Pages | 495-507 |
| Number of pages | 13 |
| ISBN (Print) | 9783030905385 |
| DOIs | |
| State | Published - 2021 |
| Event | International Conference on High Performance Computing, ISC High Performance 2021 - Virtual, Online Duration: Jun 24 2021 → Jul 2 2021 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 12761 LNCS |
| ISSN (Print) | 0302-9743 |
| ISSN (Electronic) | 1611-3349 |
Conference
| Conference | International Conference on High Performance Computing, ISC High Performance 2021 |
|---|---|
| City | Virtual, Online |
| Period | 06/24/21 → 07/2/21 |
Funding
Acknowledgements. This work was supported by the U.S. Department of Energy, Office of Science, Office of Fusion Energy Sciences under Award Number DE-SC0018054 and the Scientific Discovery through Advanced Computing (SciDAC) program in U.S. Department of Energy. This work also used resources of the Oak Ridge Leadership Computing Facility, which is a U.S. Department of Energy, Office of Science User Facility.