Projects

Showing 11 - 20 results of 65

CloudStars is an Open Source Research Mobility network in the field of Cloud Computing technology. The proposal combines twelve academic institutions in seven European countries (Spain, Germany, Netherlands, Italy, Austria, Poland, Switzerland), two academic institutions in third-party countries (Ecuador, Argentina), and three industrial laboratories from IBM (USA,...

A key target of ecological transition towards the zero-pollution vision for 2050 is the prevention and control of pollutants. Transportation is a key source of urban air pollution, being the main responsible of NO2 and PM emissions, with a heavy toll on public health and wellbeing. This pressing need to monitor and reduce traffic-related emissions in urban areas calls for...

The overall aim of the EDITH project is to foster an inclusive ecosystem for Digital Twins in healthcare in Europe and to prompt the convergence of such an ecosystem towards a common strategy conducive to its further development. This is achieved by mapping and analysing the status of the fields which are crucial for the growth, uptake and use of digital twins in healthcare,...

The radical transformation of transport systems so they provide sustainable, clean, safe and integrated mobility is a major policy goal at nationaland European level. A major part of this effort aims to provide enhanced mobility experience to all users and improve the efficiency and safety of the transport network. Furthermore, the transport sector has a significant...

The unstoppable proliferation of novel computing and sensing device technologies, and the ever-growing demand for data-intensive applications in the edge and cloud, are driving a paradigm shift in computing around the dynamic, intelligent and yet seamless interconnection of IoT, edge and cloud resources in one single computing system to form a continuum. Many research...

In the past decade, many scientific domains have been transformed into data-driven disciplines relying on the exchange and integration of internationally distributed data. Exploiting this data is still a laborious and largely manual task, prone to losses and errors, and increasingly specialised beyond most users technical capabilities. FAIR practices are encouraged but their...

With present computational capabilities and data volumes entering the Exascale Era, digital twins of the Earth system will be able to mimic the different system components (atmosphere, ocean, land, lithosphere) with unrivalled precision, providing analyses, forecasts, and what-if scenarios for natural hazards and resources from their genesis phases and across their temporal...

Our team explores the programming approaches for homogeneous and heterogeneous architectures, including the use of accelerators and distributed clusters. We propose the OmpSs programming model, a task-based approach. OmpSs seeks to improve programmability of applications in such environments, without sacrificing performance. We actively participate in the OpenMP standard...

The aim of HPCQS is to prepare European research, industry and society for the use and federal operation of quantum computers and simulators. These are future computing technologies that are promising to overcome the most difficult computational challenges. HPCQS is developing the programming platform for the quantum simulator, which is based on the European ATOS Quantum...

Beyond-COVID (BY-COVID) aims to provide comprehensive open data on SARS-CoV-2, and other infectious diseases across scientific, medical, public health and policy domains. The project will have a strong emphasis on mobilising raw viral sequences, helping to identify and monitor the spread of SARS-CoV-2 variants. It will further accelerate access to and linking of data and...

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