The term “in situ processing” has evolved over the last decade to mean both a specific
strategy for visualizing and analyzing data and an umbrella term for a processing paradigm …

In this survey, we discuss the challenges of executing scientific workflows as well as existing
Machine Learning (ML) techniques to alleviate those challenges. We provide the context …

The SENSEI generic in situ interface is an API that promotes code portability and reusability.
From the simulation view, a developer can instrument their code with the SENSEI API and …

As one of the main technologies of flow visualization, shock detection plays a key role in
feature identification and has been intensively studied. However, existing methods take too …

Analysis of large-scale simulation output is a core element of scientific inquiry, but analysis
queries may experience significant I/O overhead when the data is not structured for efficient …

In the ever-evolving landscape of scientific computing, properly supporting the modularity
and complexity of modern scientific applications requires new approaches to workflow …

In an in-situ workflow, multiple components such as simulation and analysis applications are
coupled with streaming data transfers. The multiplicity of possible configurations …

This work compares the two major paradigms for doing in situ visualization: in-line, where
the simulation and visualization share the same resources, and in-transit, where simulation …

There are information needs involving costly decisions that cannot be efficiently satisfied
through conventional Web search engines. Alternately, community centric search can …

This application paper presents a novel framework based on topological data analysis for
the automatic evaluation and ranking of viscous finger simulation runs in an ensemble with …