Projectes
The distribution of pollutants at urban level is not completely understood due to its spatial inhomogeneity. Bettair currently maps pollutant concentrations using a model that is mainly suitable for open areas, but this model can be further improved at the cost of using more computational power. The goal of this project is to develop and incorporate a new module into...
OXIPRO aims at contributing to the transition towards environment-friendly detergents, textiles, cosmetics and nutraceuticals by co-designing and co-developing an efficient oxidoreductases foundry under an interdisciplinary and systemic innovation approach, integrating high-performance computing and cuttingedge biotechnology for tailormade and greener oxidoreductases...
The increasing shift to eco-friendly production impacts the industry of consumer products. The EU-funded FuturEnzyme project will develop advanced innovative solutions to discover, design, optimise and formulate low-cost enzymes for economically viable products in the textile, detergent and cosmetics sectors. A textile containing Elasthane, a liquid detergent, and a...
DEEP-SEA (DEEP Software for Exascale Architectures) will deliver the programming environment for future Europeanexascale systems, adapting all levels of the software (SW) stack including low-level drivers, computation andcommunication libraries, resource management, and programming abstractions with associated runtime systems and tools to support highly heterogeneous compute...
EOSC Future responds to INFRAEOSC-03-2020 call in order to integrate, consolidate, and connect e-infrastructures, research communities, and initiatives in Open Science to further develop the EOSC Portal, EOSC-Core and EOSCExchangeof the European Open Science Cloud (EOSC).
EOSC Future is structured around six thematic pillars that strategically group...
To achieve high performance and high energy efficiency on near-future exascale computing systems, a technology gap needs to be bridged: increase efficiency of computation with extreme efficiency in HW and new arithmetics, as well as providing methods and tools for seamless integration of reconfigurable accelerators in heterogeneous HPC multi-nodeplatforms.
To achieve high performance and high energy efficiency on near-future exascale computing systems, a technology gap needs to be bridged: increase efficiency of computation with extreme efficiency in HW and new arithmetics, as well as providing methods and tools for seamless integration of reconfigurable accelerators in heterogeneous HPC multi-nodeplatforms.
One of the main drivers for building exascale HPC systems today is the growing need to process extremely large data sets. However, the flat storage hierarchies found in classic HPC architectures no longer satisfy the performance requirements of data-processing applications. Uncoordinated file access in combination with limited bandwidth make the centralised backend parallel...
DEEP-SEA (DEEP Software for Exascale Architectures) will deliver the programming environment for future Europeanexascale systems, adapting all levels of the software (SW) stack including low-level drivers, computation andcommunication libraries, resource management, and programming abstractions with associated runtime systems and tools to support highly heterogeneous compute...
The eProcessor ecosystem combines open source software (SW) and hardware (HW) to deliver the first completely open source European full stack ecosystem based on a new RISC-V CPU coupled to multiple diverse accelerators that target traditional HPC and extend into mixed precision workloads for High Performance Data Analytics (HPDA), (AI, ML, DL andBioinformatics). eProcessor...