Research into data reduction techniques has gained popularity in recent years as storage
capacity and performance become a growing concern. This survey paper provides an …

The need to scale next-generation industrial engineering problems to the largest
computational platforms presents unique challenges. This paper focuses on data …

Data analysis and visualization are an essential part of the scientific discovery process. As
HPC simulations have grown, I/O has become a bottleneck, which has required scientists to …

A characteristic feature of the main phase of geomagnetic storms is the dawn‐dusk
asymmetric depression of low‐and mid‐latitude ground magnetic fields, with largest …

Recent advancements in multivariate data visualization have opened new research
opportunities for the visualization community. In this paper, we propose an uncertain …

Modern visualization software facilitates the creation of visualization pipelines combining a
plethora of algorithms to achieve high-fidelity visualization. When the complexity of the …

The trends in high performance computing, where far more data can be computed that can
ever be stored, have made in situ techniques an important area of research and …

Neuroscientists want to inspect the data their simulations are producing while these are still
running. This will on the one hand save them time waiting for results and therefore insight …

Current courses in parallel and distributed computing (PDC) often focus on programming
models and techniques. However, PDC is embedded in a scientific workflow that …

This thesis introduces the concept of autonomic visualisation, where principles of autonomic
systems are brought to the field of visualisation infrastructure. Problems in visualisation have …