Topics: Supercomputing Computer Science
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.