Bridging the gap between HPC and IA/ML user communities and HPC Resources is key to unleash Europe’s innovation potential. A lot of effort is done to build the European technologies able to deliver centralised, petascale/exascale HPC & ML. It is equally important to make such resources easily and responsibly consumable. The project is aiming at developing in a 2 years time frame an innovative european software solution allowing industrial and scientific user communities to submit easily complex Simulation and ML workflows to HPC Data Centres and Cloud Infrastructures as well as being able to take informed decisions for selecting the best platform to achieve their goals in time, within budget and with the best energy efficiency. Although the project will be able, in the future, to provide value creation across multiple industrial sectors, the demonstrator and the initial focus will address workflows of strategic importance in the field of “Renewable Energy” and in “Manufacturing” applications where HPC is involved for the design of more Energy efficient products (for example in the design of energy efficient vehicles). HEROES is supported by Meteosim, UL Renewables, EDF and Dallara which will advise on workflows relevant to such use cases. HEROES major innovations reside in its platform selection decision module and its application of marketplace concepts to HPC. The consortium involves 4 European SMEs which bring HPC to their clients and are facing everyday this market demand. A major SuperComputing Research Centre complements the project with its specific expertise in energy management and resource optimisation. At the end of the project, its outcomes will be commercialised.

This project federates efforts from 3 pan-European ESFRI infrastructures (HL-LHC, SKAO and SLICES-RI) in physical sciences, Big Data, and in the computing continuum supporting flagship instruments that will maintain and strengthen European leadership in high-energy physics and astronomy. The main goal is to enable key science projects, with the search for Dark Matter serving as a pilot program, combining the complementary capabilities of these three unique research infrastructures. ODISSEE will deliver evolutionary and revolutionary hardware and software platforms to address the corresponding digital challenges in a highly competitive international context. Developed through a joint and comprehensive R&D program with industry partners, as well as access to cutting edge experimental facilities from SLICES-RI, so as to enable HL-LHC and SKA to process and analyze the vast volumes of raw data they produce. Targeting such dataflow driven applications opens the way to a new range of technologies and services, feeding SLICES-RI with a unique yet representative set of specifications to progress their operational & experimental capacities at an unprecedented scale, increasing the dissemination potential. Bringing these 3 infrastructures to their full capacity, as well as operating and maintaining them, pose similar grand challenges across the digital continuum and require addressing the 3 dimensions of sustainability. Co-design and close partnership of academia with European companies will foster competitiveness of European industry and promote digital sovereignty. The project is deeply embedded into both regional and international R&I ecosystems, with strong connections to several major European initiatives and associated partnerships with main technology providers. Strong and lasting impact is built-in the two-fold exploitation strategy including the development of unique in-depth training for R.I. staff and extensive trans-sectoral dissemination.

Earth and environmental sciences require a large panel and volume of data from satellite, in-situ observations, models, omics experiments... Earth system domains are interconnected and even if interfaces between domains appear of primary importance for several studies with large societal impacts, such as climate change, agriculture and food, human safety and health, the present digital architecture is based essentially on distributed and domain-dependent data repositories inducing real difficulties for integrated uses of all the environmental data. To go beyond this state-of-the-art, the overall objective of FAIR-EASE is to customize and operate distributed and integrated services for observation and modelling of the Earth system, environment and biodiversity by improving the TRL of their different components implemented in close cooperation with user-communities, the European Open Science Cloud and research infrastructures in their design and sustainable availability. The project will: (1) Improve a FAIR-EASE data discovery and data access service, relying on pre-operational existing services, in order to provide users with an easy and FAIR tool for discovery and access to environmental multidisciplinary and aggregated data-sets as managed and provided by a range of European data infrastructures; (2) Set up a FAIR-EASE Earth Analytical Lab, with EOSC connectivity supporting, through web-based interfaces, predefined processing tools and on-demand data visualization services for remote analysis and processing of heterogeneous data facilitating the cross-disciplinary collaboration, reducing the time to results and increasing productivity; and (3) Develop a number of multidisciplinary Use Cases (UCs) to contribute requirements for the FAIR-EASE system components and to validate and demonstrate the capabilities of the FAIR-EASE service for supporting open science.

Bridging the gap between HPC and IA/ML user communities and HPC Resources is key to unleash Europe’s innovation potential. A lot of effort is done to build the European technologies able to deliver centralised, petascale/exascale HPC & ML. It is equally important to make such resources easily and responsibly consumable. The project is aiming at developing in a 2 years time frame an innovative european software solution allowing industrial and scientific user communities to submit easily complex Simulation and ML workflows to HPC Data Centres and Cloud Infrastructures as well as being able to take informed decisions for selecting the best platform to achieve their goals in time, within budget and with the best energy efficiency. Although the project will be able, in the future, to provide value creation across multiple industrial sectors, the demonstrator and the initial focus will address workflows of strategic importance in the field of “Renewable Energy” and in “Manufacturing” applications where HPC is involved for the design of more Energy efficient products (for example in the design of energy efficient vehicles). HEROES is supported by Meteosim, UL Renewables, EDF and Dallara which will advise on workflows relevant to such use cases. HEROES major innovations reside in its platform selection decision module and its application of marketplace concepts to HPC. The consortium involves 4 European SMEs which bring HPC to their clients and are facing everyday this market demand. A major SuperComputing Research Centre complements the project with its specific expertise in energy management and resource optimisation. At the end of the project, its outcomes will be commercialised.

The amount of data gathered, shared and processed in frontier research is set to increase steeply in the coming decade, leading to unprecedented data processing, simulation and analysis needs. In particular, the research communities in High Energy Physics and Radio Astronomy are preparing to launch new instruments that require data and compute infrastructures several orders of magnitude larger than what is currently available and entering in the Exascale era. To meet these requirements, new data-intensive architectures, heterogeneous resource federation models, and IT frameworks will be needed, including large-scale compute and storage capacity to be procured and made accessible at the pan-European level. Additionally, the emergence of high-end Exascale HPC and Quantum computing systems provides new opportunities for accelerating discoveries and complementing the capabilities of existing research HTC and Cloud facilities. Addressing key questions around scalability, performance, energy efficiency, portability, interoperability and cybersecurity is crucial to ensuring the successful integration of these heterogeneous systems. In this context, the SPECTRUM project aims to deliver a Strategic Research, Innovation and Deployment Agenda (SRIDA) and a Technical Blueprint for a European compute and data continuum. With a consortium composed of leading European science organisations in High Energy Physics and Radio Astronomy, and leading e-Infrastructure providers covering HTC, HPC, Cloud and Quantum technologies, the project will work with a Community of Practice composed of external experts. The ultimate goal is to pave the way towards data-intensive scientific collaborations with access to a federated European Exabyte-scale research data federation and compute continuum.