A reanalysis is a physically consistent set of optimally merged simulated model states and
historical observational data, using data assimilation. High computational costs for modeled …

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 …

This paper introduces ALPINE, a flyweight in situ infrastructure. The infrastructure is
designed for leading-edge supercomputers, and has support for both distributed-memory …

Between the molecular and reactor scales, which are familiar to the chemical engineering
community, lies an intermediate regime, here termed the “mesoscale,” where transport …

In situ approaches can accelerate the pace of scientific discoveries by allowing scientists to
perform data analysis at simulation time. Current in situ workflow systems, however, face …

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

Abstract The Joint Laboratory for Extreme-Scale Computing (JLESC) focuses on software
challenges in high-performance computing systems to meet the needs of today's science …

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 …

Visualization has evolved into a mature scientific field and it has also become widely
accepted as a standard approach in diverse fields, including physics, life sciences, and …

High-Performance Computing (HPC) systems provide input/output (IO) performance growing
relatively slowly compared to peak computational performance and have limited storage …