Scientific workflows have become integral tools in broad scientific computing use cases.
Science discovery is increasingly dependent on workflows to orchestrate large and complex …

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 …

Distributed data storage services tailored to specific applications have grown popular in the
high-performance computing (HPC) community as a way to address I/O and storage …

Scientific visualization is a key approach to understanding the growing massive streams of
data from scientific simulations and experiments. In this article, I review technology trends …

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 …

A growing disparity between supercomputer computation speeds and I/O rates means that it
is rapidly becoming infeasible to analyze supercomputer application output only after that …

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

Interactively visualizing large finite element simulation data on High-Performance
Computing (HPC) systems poses several difficulties. Some of these relate to unstructured …

Scientific visualization software increasingly needs to support many-core architectures.
However, development time is a significant challenge due to the breadth and diversity of …

Recent years have seen many successful applications of machine learning (ML) to facilitate
fluid dynamic computations. As simulations grow, generating new training datasets for …