Projects
The project DEEP-ER (DEEP-Extended Reach) addresses two significant Exascale challenges: the growing gap between I/O bandwidth and compute speed, and the need to significantly improve system resiliency.
DEEP-ER will extend the Cluster-Booster architecture of the Dynamical Exascale Entry...
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...
Este proyecto tiene como objetivo aplicar las nuevas técnicas de computación de alto rendimiento (HPC) exaescala a las simulaciones de la industria energética yendo más allá del estado de la técnica en las simulaciones requeridas para diferentes fuentes de energía: producción de energía eólica y...
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...
With top systems reaching the PFlop barrier, the next challenge is to understand how applications have to be implemented and be prepared for the ExaFlop target. Multicore chips are already here but will grow in the next decade to several hundreds of cores. Hundreds of thousands of nodes based on them will constitute the future exascale systems.
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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...