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 life of a multi-physics code user is complicated. Simulation crashes, efficient resource
utilization, and simulation parameter choices are time consuming workflow issues that …

Multi-step scientific workflows have become prominent and powerful tools of data-driven
scientific discovery. Run-time analytic techniques are now commonly used to mitigate the …

How the cloud paradigm can support the solution of High Performance Computing (HPC)
problems has not been fully answered yet. This raises a number of questions and, among …

Existing approaches for in situ analysis and visualization (ISAV) assume that scientific
simulations are written in a bulk synchronous parallel (BSP) execution model. However …

A framework for accelerating modern long-running astrophysical simulations is presented,
which is based on a hierarchical architecture where computational steering in the high …

HPC analytics has become increasingly vital to analyze the large volumes of data produced
by sophisticated computing instruments. Meanwhile, with the successful development of …

The arrangement of atoms at the surface of a solid accounts for many of its properties:
Hardness, chemical activity, corrosion, etc. are dictated by the precise surface structure …

This paper presents the infrastructure challenges inherent to the full development of
eScience applications. This paper outlines how cloud computing can collaborate to improve …

HPC analytics has become increasingly vital to analyze the large volumes of data produced
by sophisticated computing instruments. Meanwhile, with the successful development of …