Projects

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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...

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...

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...

In the midst of a climatic change scenario, the genetics of adaptive response in conifers becomes essential to ensure a sustainable management of genetic resources and an effective breeding. Conifers are the target of major tree breeding efforts worldwide. Advances in molecular technologies, such as next-generation DNA sequencing technologies, could have an enormous impact on...

Volcanic eruptions, and associated hazards, are a constant concern for many European countries and for Europe as a whole. During last decades, disciplines like thermodynamics, fluid dynamics, structural mechanics, and advanced experiments and computation, have been incorporated in volcano science, and formalized treatment of uncertainties has become a prominent means of...

Design complexity and power density implications stopped the trend towards faster single-core processors. The current trend is to double the core count every 18 months, leading to chips with 100+ cores in 10-15 years. Developing parallel applications to harness such multicores is the key challenge for scalable computing systems.

The ENCORE project...

Data storage technology today faces many challenges, including performance inefficiencies, inadequate dependability and integrity guarantees, limited scalability, loss of confidentiality, poor resource sharing, and increased ownership and management costs. Given the importance of both direct-attached and networked storage systems for modern applications, it becomes imperative...

DEISA2, funded under the European Commission's FP7 programme, continued to develop and support distributed high performance computing infrastructure by consolidating the existing infrastructure established during the first phase of the project, DEISA1, and extending the collaborative environment for capability computing and data management. The resulting infrastructure was unmatched in the...

The objective of the ELIXIR preparatory phase was to produce a memorandum or memoranda of understanding between organisations (government agencies, research councils, funding bodies and scientific organisations) within the member states, with the purpose of constructing a world class and globally positioned European infrastructure for the management and integration of...

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