Projects
Además de la necesidad de ejecutar grandes simulaciones numéricas, el crecimiento exponencial de la cantidad de datos disponibles aporta al método científico un nuevo
paradigma basado en su análisis masivo; "Big Data" se refiere al conjunto de retos tecnológicos asociados con la obtención, gestión, análisis y...
Life Science research has become increasingly digital, and this development is accelerating rapidly. Biomolecular modelling techniques such as homology modelling, docking, and molecular simulation have advanced tremendouslydue to world-leading European research, resulting in extreme demands for better computational performance and throughput as these tools are used in applied...
The main target of the Mont-Blanc 3 project "European Scalable and power efficient HPC platform based on low-power embedded technology" is the creation of a new high-end HPC platform (SoC and node) that is able to deliver a new level of performance / energy ratio whilst executing real applications.
The technical objectives are:
The overall objective of the Next Generation I/O Project (NEXTGenIO) is to design and prototype a new, scalable, high-performance, energy efficient computing platform designed to address the challenge of delivering scalable I/O performance to applications at the Exascale. It will achieve this using highly innovative, non-volatile, dual in-line memory modules (NV-DIMMs). These...
CAMS is providing operational services, which requires a regular and guaranteed delivery of validation reports. In the current MACC-VAL project all partners are individually responsible for the download and processing of the model fields, the generation of the validation plots and maintenance of the verification websites. During CAMS-84 we will progressively migrate to a...
Europe has built momentum in becoming a leader in large parts of the HPC ecosystem. It has brought together technical and business stakeholders from application developers via system software to exascale systems. Despite such gains, excellence in high performance computing systems is often fragmented and opportunities for synergy missed. To compete internationally, Europe...
Materials are crucial for scientific and technological advances, industrial competitiveness and for tackling key societal challenges - from energy and environment to health care, information and communications, manufacturing, safety and transportation. The current accuracy and predictive power of materials' simulations allows a paradigm shift for computational design and...
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...
Theoretical Chemistry and Computational Modelling (TCCM) is emerging as a powerful tool to helpin the rational design of new products and materials for pharmaceutical, chemical, energy, computerand new-materials industries. To achieve this goal, it is necessary to go beyond the traditional electronic structure studies, and merge complementary techniques that are normally not...
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...