Extreme scale scientific simulations are leading a charge to exascale computation, and data
analytics runs the risk of being a bottleneck to scientific discovery. Due to power and I/O …

We describe a simulation‐time random sampling of a large‐scale particle simulation, the
RoadRunner Universe MC3 cosmological simulation, for interactive post‐analysis and …

We present a framework for interfacing an arbitrary HPC simulation code with an interactive
ParaView session using the HDF5 parallel IO library as the API. The implementation allows …

Cosmological N-body simulation is an important tool for scientists to study the evolution of
the universe. With the increase of computing power, billions of particles of high space-time …

Trilinos I/O Support (Trios) is a new capability area in Trilinos that serves two important
roles:(1) it provides and supports I/O libraries used by in‐production scientific codes;(2) it …

As systems provide more resources and host an indefinitely growing number of cores, the
amount of data produced by simulation codes is steadily increasing, creating a bottleneck at …

Ray tracing presents an efficient rendering algorithm for scientific visualization using
common visualization tools and scales with increasingly large geometry counts while …

A visualization success, as a scientific endeavor, is measured not by the knowledge of the
system itself but rather by how visualization aids in the scientific inquiries of other …

For exceedingly large high performance computing runs, writing all data to disk is
unmanageably slow. It becomes necessary to have analysis and visualization communicate …