Projects

ESiWACE will substantially improve efficiency and productivity of numerical weather and climate simulation on high-performance computing platforms by supporting the end-to-end workflow of global Earth system modelling in HPC environment. This will be obtained by improving and supporting the: (1) scalability of models, tools and data management on state-of-the-art...

Hi-EST aims to address a new class of placement problem, a challenge for computational sciences that consists in mapping workloads on top of hardware resources with the goal to maximise the performance of workloads and the utilization of resources. The objective of the placement problem is to perform a more efficient management of the computing infrastructure by continuously...

EUDAT2020 brings together a unique consortium of e-infrastructure providers, research infrastructure operators, and researchers from a wide range of scientific disciplines under several of the ESFRI themes, working together to address the new data challenge. In most research communities, there is a growing awareness that the rising tide of data will require new approaches to...

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...

Energy efficiency is a generic term which refers to the ratio between the useful energy output of a process and the energy input to this process. The interest on building more energy-efficient DC has increased along with the outburst of Cloud computing, the use of Internet and of Data Centres (DC) to enable this paradigm. Whereas energy efficiency is necessary to reduce...

Understanding the human brain is one of the greatest challenges facing 21st century science. If we can rise to the challenge, we can gain profound insights into what makes us human, develop new treatments for brain diseases and build revolutionary new computing technologies. Today, for the first time, modern ICT has brought these goals within sight. The goal of the Human...

The most common interpretation of Moore's Law is that the number of components on a chip and accordingly the computer performance doubles every two years. This experimental law has been holding from its first statement in 1965 until today. At the end of the 20th century, when clock frequencies stagnated at ~3 GHz, and instruction level parallelism reached the phase of...

IS-ENES2 is the second phase project of the distributed e-infrastructure of models, model data and metadata of the European Network for Earth System Modelling (ENES). This network gathers together the European modelling community working on understanding and predicting climate variability and change. ENES organizes and supports European contributions to international...

The main objective of the LIGHTNESS project was the design, implementation and experimental evaluation of high performance data centre interconnects through the introduction of innovative photonic switching and transmission inside data centres. Harnessing the power of optics enabled data centres to effectively cope with the unprecedented demand growth to be faced in the near...