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 …

The considerable interest in the high performance computing (HPC) community regarding
analyzing and visualization data without first writing to disk, ie, in situ processing, is due to …

Data reduction is increasingly being applied to scientific data for numerical simulations,
scientific visualizations and data analyses. It is most often used to lower I/O and storage …

This chapter describes Ascent, a production library for in situ visualization and analysis on
exascale architectures. It begins by describing the library's focal points: minimizing …

Time-varying vector fields produced by computational fluid dynamics simulations are often
prohibitively large and pose challenges for accurate interactive analysis and exploration. To …

Micro-scale positioning techniques have become essential in numerous engineering
systems. In the field of fluid mechanics, particle tracking velocimetry (PTV) stands out as a …

Streamlines are an extensively utilized flow visualization technique for understanding,
verifying, and exploring computational fluid dynamics simulations. One of the major …

We propose a data reduction technique for scattered data based on statistical sampling. Our
void-and-cluster sampling technique finds a representative subset that is optimally …

Modern cosmological simulations have reached the trillion-element scale, rendering data
storage and subsequent analysis formidable tasks. To address this circumstance, we …

In this paper we present a reconstruction technique for the reduction of unsteady flow data
based on neural representations of time‐varying vector fields. Our approach is motivated by …