Projects

Showing 81 - 90 results of 102

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...

Over the 10 years prior to the initiation on this project, significant investments had been made in both the European Union and the USA for developing scientific data infrastructures to support the work of research communities, and in improving shared access to data. On both sides of the Atlantic, there is a shared understanding that solutions must be global and that the...

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 grand challenge of Exascale computing, a critical pillar for global scientific progress, requires co-designed architectures, system software and applications. Massive worldwide collaboration of leading centres, already underway, is crucial to achieve pragmatic, effective solutions. Existing funding programs do not support this complex multidisciplinary effort. Severo...

DEEP developed a novel, Exascale-enabling supercomputing platform along with the optimisation of a set of grand-challenge codes simulating applications highly relevant for Europe's science, industry and society.

The DEEP System realised a Cluster Booster Architecture that can cope with the limitations purported by Amdahl's Law. It served as...

The RISC project aimed to deepen strategic R&D cooperation between Europe (EU) and Latin America (LA) in the field of High Performance Computing (HPC) by building a multinational and multi-stakeholder community that involved a significant representation of the relevant HPC R&D EU and LA actors (researchers, policy makers, users). RISC identified common needs, research...

There is a continued need for higher compute performance: scientific grand challenges, engineering, geophysics, bioinformatics, etc. However, energy is increasingly becoming one of the most expensive resources and the dominant cost item for running a large supercomputing facility. In fact the total energy cost of a few years of operation can almost equal the cost of the...

PRACE 2IP supported the accelerated implementation of the pan-European HPC Research Infrastructure created in April 2010 as the result of the preparatory phase PRACE project. It complemented and extended the work of the PRACE 1IP project that started in July 2010.

PRACE 2IP addressed the computational and simulation needs of European scientific...

Life Science developed into one of the largest e-Infrastructure users in Europe, in part due to the ever-growing amount of biological data. At the time of the project, modern drug design typically included both sequence bioinformatics, in silico virtual screening, and free energy calculations, e.g. of drug binding. This development has accelerated tremendously, and has put...

Pages