Computational science is paramount to the understanding of underlying processes in
internal combustion engines of the future that will utilize non-petroleum-based alternative …

Modern large-scale scientific simulations running on HPC systems generate data in the
order of terabytes during a single run. To lessen the I/O load during a simulation run …

As scientific supercomputing moves toward petascale and exascale levels, in situ
visualization stands out as a scalable way for scientists to view the data their simulations …

Exploding dataset sizes from extreme‐scale scientific simulations necessitates efficient data
management and reduction schemes to mitigate I/O costs. With the discrepancy between I/O …

The emerging high-performance computing Exascale supercomputing system, which is
anticipated to be available in 2020, will unravel many scientific mysteries. This extraordinary …

Close collaboration with other scientific fields is an important goal for the visualization
community. Yet engaging in a scientific collaboration can be challenging. The physical …

Performance isolation is emerging as a requirement for High Performance Computing (HPC)
applications, particularly as HPC architectures turn to in situ data processing and application …

With exascale computing on the horizon, reducing performance variability in data
management tasks (storage, visualization, analysis, etc.) is becoming a key challenge in …

In the coming era of exascale supercomputing, in-situ visualization will be a crucial
approach for reducing the output data size. A problem of in-situ visualization is that it loses …

It has become increasingly important to capture and understand the origins and derivation of
data (its provenance). A key issue in evaluating the feasibility of data provenance is its …