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 …

This software paper gives an overview of the features supported by the Topology ToolKit
(TTK), which is an open-source library for topological data analysis (TDA). TTK implements …

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 …

We propose InSituNet, a deep learning based surrogate model to support parameter space
exploration for ensemble simulations that are visualized in situ. In situ visualization …

Computer simulations are growing in sophistication and producing results of ever greater
fidelity. This trend has been enabled by advances in numerical methods and increasing …

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

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 …

Visualization provides a powerful means for data analysis. But to be practical, visual
analytics tools must support smooth and flexible use of visualizations at a fast rate. This …

We present a technique to synthesize and analyze volume-rendered images using
generative models. We use the Generative Adversarial Network (GAN) framework to …

A key trend facing extreme-scale computational science is the widening gap between
computational and I/O rates, and the challenge that follows is how to best gain insight from …