Projects

ASGARD has a singular goal, contribute to Law Enforcement Agencies Technological Autonomy and effective use of technology. Technologies will be transferred to end users under an open source scheme focusing on Forensics, Intelligence and Foresight (Intelligence led prevention and anticipation). ASGARD will drive progress in the processing of seized data, availability of...

Essentially every new commercial product, be they smart phones, solar cells, batteries, transport technology, artificial hips, etc., depends on improved or even novel materials. Computational materials science is increasingly influential as a method to identify such critical materials for both R&D. Enormous amounts of data, precious but heterogeneous and difficult to...

The overall objective of the Next Generation I/O Project (NEXTGenIO) is to design and prototype a new, scalable, high-performance, energy efficient computing platform designed to address the challenge of delivering scalable I/O performance to applications at the Exascale. It will achieve this using highly innovative, non-volatile, dual in-line memory modules (NV-DIMMs). These...

The main objective is to create IOStack: a Software Defined Storage toolkit for Big Data on top of the OpenStack platform. IOStack will enableefficient execution of virtualized analytics applications over virtualized storage resources thanks to flexible, automated, and low cost datamanagement models based on software defined storage (SDS). Major challenges...

The consortium of this European Training Network (ETN) "BigStorage: Storage-based Convergence between HPC and Cloud to handle Big Data will train future data scientists in order to enable them and us to apply holistic and interdisciplinary approaches for taking advantage of a data overwhelmed world, which requires HPC and Cloud infrastructures with a redefinition of storage...

The objective of the RETHINK big project was to bring together the key European system architects and consumers of Big Data systems, to describe a coherent vision that will highlight the various business and technical challenges within the EU, and to achieve success by addressing the need of EU for processing and analysis of Big Data over the next 10 years. More...

The use of High Performance Computing (HPC) is commonly recognized a key strategic element both in research and industry for an improvement of the understanding of complex phenomena. The constant growth of generated data -Big Data- and computing capabilities of extreme systems lead to a new generation of computers composed of millions of heterogeneous cores which will provide...

The use of High Performance Computing (HPC) is commonly recognized as a key strategic element in improving understanding of complex phenomena, in both research and industry. The constant growth of generated data - Big Data - and the computing capabilities of extreme systems are leading to a new generation of computers composed of millions of heterogeneous cores which will...