With the increasing fidelity and resolution enabled by high-performance computing systems,
simulation-based scientific discovery is able to model and understand microscopic physical …

In situ visualization is an increasingly important approach for computational science, as it
can address limitations on leading edge high-performance computers and also can provide …

Scientific simulations on high performance computing (HPC) platforms generate large
quantities of data. To bridge the widening gap between compute and I/O, and enable data to …

High-performance computing scientists are producing unprecedented volumes of data that
take a long time to load for analysis. However, many analyses only require loading in the …

Parallel and distributed computing enable the execution of large and complex simulations.
Yet, the usual separation of (headless) simulation execution and (subsequent, offline) output …

As a result of increasing data volume and velocity, Big Data science at exascale has shifted
towards the in-situ paradigm, where large scale simulations run concurrently alongside data …

We describe an application for interactive visualization of 5 petabytes of time-varying
multivariate data from a high-resolution global ocean circulation model. The input data are …

Tasks coupled in an in situ workflow may not process data at the same speed, potentially
causing overflows in the communication channel between them. To prevent this problem …

Data management is a critical component of high-performance computing, with storage as a
cornerstone. Yet the traditional model of parallel file systems fails to meet users' needs, in …

Large scale parallel applications have evolved beyond the tipping point where there are
compelling reasons to analyze, visualize and otherwise process output data from scientific …