Data-driven science and technology offer transformative tools and methods to science. This
review article highlights the latest development and progress in the interdisciplinary field of …

In situ analysis and visualization have grown increasingly popular for enabling direct access
to data from high-performance computing (HPC) simulations. As a simulation progresses …

Inline and in transit visualization are popular in situ visualization models for high
performance computing (HPC) applications. Inline visualization is invoked through a library …

The growing availability of large scale computing power and facilities has caused a potential
for increased accuracy in CFD simulations, allowing scientists and engineers to look beyond …

In situ analysis and visualization have grown increasingly popular for enabling direct access
to data from high-performance computing (HPC) simulations. As a simulation progresses …

The visualization of results while the simulation is running is increasingly common in
extreme scale computing environments. We present a novel approach for in situ generation …

The rapid advancement in scientific simulations and experimental facilities has resulted in
the generation of vast amounts of data at unprecedented scales. The analysis and …

In situ processing aims to alleviate the growing gap between computation and I/O
capabilities by performing data processing close to the data source. In situ processing is …

Triggers are an emerging strategy for optimizing execution time for in situ analysis. However,
their performance characteristics are complex, making it difficult to decide if a particular …

One of the primary challenges facing scientists is extracting understanding from the large
amounts of data produced by simulations, experiments, and observational facilities. The use …