The term “in situ processing” has evolved over the last decade to mean both a specific
strategy for visualizing and analyzing data and an umbrella term for a processing paradigm …

Today's computational, experimental, and observational sciences rely on computations that
involve many related tasks. The success of a scientific mission often hinges on the computer …

Retrieving images from large and varied collections using image content as a key is a
challenging and important problem. In this paper we present a new image representation …

The SENSEI generic in situ interface is an API that promotes code portability and reusability.
From the simulation view, a developer can instrument their code with the SENSEI API and …

A key trend facing extreme-scale computational science is the widening gap between
computational and I/O rates, and the challenge that follows is how to best gain insight from …

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

Blind people need to become as independent as possible in their daily life in order to
guarantee a fully social inclusion. Mobility means the possibility of freely moving, without …

In situ approaches can accelerate the pace of scientific discoveries by allowing scientists to
perform data analysis at simulation time. Current in situ workflow systems, however, face …

Decaf is a dataflow system for the parallel communication of coupled tasks in an HPC
workflow. The dataflow can perform arbitrary data transformations ranging from simply …

As the power consumption of modern high-performance microprocessors increases beyond
100 W, power becomes an increasingly important design consideration. This paper presents …