Modern scientific collaborations have opened up the opportunity to solve complex problems
that require both multidisciplinary expertise and large-scale computational experiments …

This book is an introductory text to a range of numerical methods used today to simulate time-
dependent processes in Earth science, physics, engineering, and many other fields. The …

This paper presents dispel4py, a new Python framework for describing abstract stream-
based workflows for distributed data-intensive applications. These combine the familiarity of …

A growing number of" second generation" high-performance computing applications with
heterogeneous, dynamic and data-intensive properties have an extended set of …

We present dispel4py a versatile data-intensive kit presented as a standard Python library. It
empowers scientists to experiment and test ideas using their familiar rapid-prototyping …

This paper reports advances in seismic waveform description and discovery leading to a
new seismological service and presents the key steps in its design, implementation and …

The DARE platform has been designed to help research developers deliver user-facing
applications and solutions over diverse underlying e-infrastructures, data and computational …

We present a practical approach for provenance capturing in Data-Intensive workflow
systems. It provides contextualisation by recording injected domain metadata with the …

The DARE platform enables researchers and their developers to exploit more capabilities to
handle complexity and scale in data, computation and collaboration. Today's challenges …

We present here the first application of the fast reacting framework for 3D simulations of
seismic wave propagation generated by earthquakes in the Italian region with magnitude …