Projects
In the next decade, EU industries developing Critical Real-Time Embedded Systems (CRTES) (safety, mission or business critical) will face a once-in-a-life-time disruptive challenge caused by the transition to multicore processors and the advent of manycores, tantamount to complex networked systems. This challenge brings the opportunity to integrate multiple applications onto...
The Mont-Blanc project aims to develop a European Exascale approach leveraging on commodity power-efficient embedded technologies. The project has developed a HPC system software stack on ARM, and will deploy the first integrated ARM-based HPC prototype by 2014, and is also working on a set of 11 scientific applications to be ported and tuned to the prototype system.
Adapting Service lifeCycle towards EfficienT (ASCETiC) was focused on providing novel methods and tools to support software developers aiming to optimise energy efficiency and minimise the carbon footprint resulting from designing, developing, deploying, and running software in Clouds. At the same time, quality of service, experience and perception was taken into account, so...
Data-centres form the central brains and store for the Information Society and are a key resource for innovation and leadership. The key challenge has recently moved from just delivering the required performance, to include consuming reduced energy and lowering cost of ownership. Together, these create an inflection point that provides a big opportunity for Europe, which...
The project involved the development of mathematical models and their implementation as software code for high performance computing clusters. The physical problem studied involves two related topics: particle deposition and solute absorption in respiratory airways, and tumour metastasis in arterioles and capillaries. The aim was to couple micro-scale phenomena to large 3D...
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...
AXLE focused on automatic scaling of complex analytics, while addressing the full requirements of real data sets. Real data sources have many difficult characteristics. Sources often start small and can grow extremely large as business/initiatives succeed, so the ability to grow seamlessly and automatically is at least as important as managing large data volumes once you know...
The increasing power and energy consumption of modern computing devices is perhaps the largest threat to technology minimization and associated gains in performance and productivity. On the one hand, we expect technology scaling to face the problem of “dark silicon” (only segments of a chip can function concurrently due to power restrictions) in the near future...
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...