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Related European Activities

A number of projects and initiatives are related to HPC at European level and have been funded by Horizon 2020 in the past years. The full list is available here: Here below we have listed the most relevant for ESiWACE.


ESCAPE-2 will develop world-class, extreme-scale computing capabilities for European operational numerical weather and climate prediction, and provide the key components for weather and climate domain benchmarks to be deployed on extreme-scale demonstrators and beyond. This will be achieved by developing bespoke and novel mathematical and algorithmic concepts, combining them with proven methods, and thereby reassessing the mathematical foundations forming the basis of Earth system models. ESCAPE-2 also invests in significantly more productive programming models for the weather-climate community through which novel algorithm development will be accelerated and future-proofed. Eventually, the project aims at providing exascale-ready production benchmarks to be operated on extreme-scale demonstrators (EsD) and beyond. ESCAPE-2 combines cross-disciplinary uncertainty quantification tools (URANIE) for high-performance computing, originating from the energy sector, with ensemble based weather and climate models to quantify the effect of model and data related uncertainties on forecasting – a capability, which weather and climate prediction has pioneered since the 1960s.
The mathematics and algorithmic research in ESCAPE-2 will focus on implementing data structures and tools supporting parallel computation of dynamics and physics on multiple scales and multiple levels. Highly-scalable spatial discretization will be combined with proven large time-stepping techniques to optimize both time-to-solution and energy-to-solution. Connecting multi-grid tools, iterative solvers, and overlapping computations with flexible-order spatial discretization will strengthen algorithm resilience against soft or hard failure. In addition, machine learning techniques will be applied for accelerating complex sub-components. The sum of these efforts will aim at achieving at the same time: performance, resilience, accuracy and portability.


ESCAPE stands for Energy-efficient Scalable Algorithms for Weather Prediction at Exascale. The project will develop world-class, extreme-scale computing capabilities for European operational numerical weather prediction and future climate models. The biggest challenge for state-of-the art NWP arises from the need to simulate complex physical phenomena within tight production schedules.



PRIMAVERA stands for "Process-based climate simulation: Advances in high-resolution modelling and European climate risk assessment". It is a European Union Horizon 2020 project which aims to develop a new generation of advanced and well-evaluated high-resolution global climate models, capable of simulating and predicting regional climate with unprecedented fidelity, for the benefit of governments, business and society in general.


Centre of Excellence POP

The Performance Optimisation and Productivity (POP) Centre of Excellence in Computing Applications provides performance optimisation and productivity services for academic and industrial code(s) in all domains.


Centre of Excellence EoCoE

The Energy oriented Centre of Excellence in computing applications (EoCoE: read as "Echo") uses the tremendous potential offered by the ever-growing computing infrastructure to foster and accelerate the European transition to a reliable and low carbon energy supply using HPC.


Centre of Excellence CoeGSS

The CoeGSS project aims at empowering the community of analysts addressing global challenges through high-performance computing and data analysis. In particular, the project will develop an HPC-based framework to generate synthetic information systems for tackling global challenges.



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). It gathers together the European modelling community working on understanding and predicting climate variability and change. IS-ENES2 combines expertise in climate modelling, computational science, data management and climate impacts.



EuroEXA targets to provide the template for an upcoming exascale system by co-designing and implementing a petascale-level prototype with ground-breaking characteristics. To accomplish this, the project takes a holistic approach innovating both across the technology and the application/system software pillars. EuroEXA proposes a balanced architecture for compute and data-intensive applications, that builds on top of cost-efficient, modular-integration enabled by novel inter-die links, utilises a novel processing unit and embraces FPGA acceleration for computational, networking and storage operations.

EuroEXA hardware designers work together with system software experts optimising the entire stack from language runtimes to low-level kernel drivers, and application developers that bring in a rich mix of key HPC applications from across climate/weather, physical/energy and life-science/bioinformatics domains to enable efficient system co-design and maximise the impact of the project.



ETP4HPC is the European Technology Platform (ETP) in the area of High-Performance Computing (HPC). It is an industry-led think-tank comprising of European HPC technology stakeholders: technology vendors, research centres and end-users. The main objective of ETP4HPC is to define research priorities and action plans in the area of HPC technology provision (i.e. the provision of supercomputing systems). ETP4HPC issues and maintains a Strategic Research Agenda as a mechanism to help the European Commission define the contents of the HPC Technology Work Programmes.



The European Extreme Data & Computing Initiative (EXDCI) objective is to support the development and implementation of a common strategy for the European HPC Ecosystem. The two most significant HPC bodies in Europe, PRACE and ETP4HPC, join their expertise in this 30-month project. EXDCI aims to support the road-mapping, strategy-making and performance-monitoring activities of the ecosystem.

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