Related Activities
A set of linked research and innovation activities:
ACROSS aims at developing an innovative execution platform (HPC Big Data Artificial Intelligence cross-stack platform toward Exascale) for serving emerging workflows that mix large and complex numerical simulations along with Big Data analytics, machine learning and deep learning techniques.
Relevance for EXCELLERAT: Through early access to the cross-stack platform, participants benefit from knowledge exchange concerning complex simulations, High-Performance Data Analytics (HPDA), and Machine Learning (ML).
CASTIEL 2 facilitates collaboration among the EuroCC 2 National Competence Centers and the EuroHPC Joint Undertaking Centers of Excellence, promoting the development of HPC expertise and the adoption of leading codes across Europe.
Relevance for EXCELLERAT: Through joint activities and a commitment to continuous integration and development, we foster collaboration with other centers of excellence, facilitated by our engagement with CASTIEL 2.
CEEC’s ambition is to enable the use of exascale computers for key computational fluid dynamics (CFD) applications and demonstrate their capabilities through key light-house cases.
Relevance for EXCELLERAT: CEEC is part of EXCELLERAT’s activities plan that involves collaboration for pre and post-processing in areas such as Data Analytics, Machine Learning, Artificial Intelligence, and Visualization, as well as code development using the NEKO framework.
ChEESE-2P aims to prepare 11 community flagship codes to address 12 domain-specific Exascale Computational Challenges (ECCs) on, e.g., computational seismology, magnetohydrodynamics, physical volcanology.
Relevance for EXCELLERAT: ChEESE-2P is part of EXCELLERAT’s activities plan that involves collaboration for pre and post-processing in areas such as Data Analytics, Machine Learning, Artificial Intelligence, and Visualization.
DCoMEX aims to provide unprecedented advances to the field of Computational Mechanics by developing novel numerical methods enhanced by Artificial Intelligence, along with a scalable software framework that enables exascale computing.
Relevance for EXCELLERAT: There is potential for collaboration as the software and methods developed within this project can be tailored for specific applications, thus supporting advancements in vital European industrial sectors such as medicine, infrastructure, materials, automotive, and aeronautics design.
The DEEP, DEEP-ER and DEEP-EST projects are an innovative European response to the Exascale challenge. The consortium develops a novel, Exascale-enabling supercomputing architecture with a matching software stack and a set of optimized grand-challenge simulation applications.
Relevance for EXCELLERAT: The produced knowledge and results of DEEP(-ER) are of interest for the EXCELLERAT service portfolio. Knowledge and experiences gained will be the basis for collaboration, access to prototypes will be of interest. EXCELLERAT partners CINECA and BSC are within this project and can be the interface to speed up collaboration set up. As in the case of MONTBLANC, this collaboration will have a very strong component on co-design, aiming to propose efficient yet powerful hardware developments for the simulation of complex engineering problems.Ongoing Activity, New Architectures for Exascale, Data Analytics, Visualization. DEEP-ER advances the Cluster-Booster architecture developed in DEEP from a hardware point of view in terms of processor technology, network interconnect, and storage. On the software side, the project focuses on two central research topics: highly scalable parallel I/O and resiliency.
The eFlows4HPC project, funded by the European High-Performance Computing Joint Undertaking (EuroHPC JU) and participating states, will create a European workflow platform for the design of complex applications that integrate HPC processes, data analytics, and artificial intelligence.
Relevance for EXCELLERAT: The goal is to create a European workflow platform that integrates High-Performance Computing (HPC) processes, data analytics, and artificial intelligence, utilizing the available HPC resources, with specific use cases including Manufacturing, Climate studies, and Urgent computing.
The European Processor Initiative (EPI) is a project currently implemented under the first stage of the Framework Partnership Agreement signed by the Consortium with the European Commission (FPA: 800928), whose aim is to design and implement a roadmap for a new family of low-power European processors for extreme scale computing, high-performance Big-Data and a range of emerging applications.
The European Technology Platform for High Performance Computing (ETP4HPC) is an industry-led forum. It provides a framework for stakeholders to define European HPC technology research priorities and action plans in order to achieve EU growth, competitiveness and sustainability through major research and technological advances in the medium to long term. ETP recently published its Strategic Research Agenda (SRA), a document outlining a roadmap for the implementation of a research program for the development of European HPC technologies.
Relevance for EXCELLERAT: ETP4HPC is of utmost importance for EXCELLERAT. The European HPC Strategy and the according research agenda will act as a baseline for the EXCELLERAT knowledge base and the identification of future directions. BSC, CINECA, USTUTT, SICOS, KTH are members of ETP4HPC and thus will ensure a close link to the platform and quick knowledge transfer in both directions.
EUMaster4HPC is an HPC European consortium leading educational activities, funded by the EuroHPC Joint Undertaking to design and implement the first pan-European High Performance Computing (HPC) Master programme.
Relevance for EXCELLERAT: The objective is to acquire cutting-edge knowledge in High-Performance Computing (HPC) and HPC-related technologies.
EUPEX will pave the way for a self-reliant European HPC industry, capable of delivering exascale-class supercomputers designed in Europe.
Relevance for EXCELLERAT: By engaging in information exchange pertaining to hardware and co-design, EXCELLERAT partners gain the potential for test access to the hardware and platform.
The EuroCC 2 project will further support developing the activities of the National Competence Centres (NCCs) in the field of High Performance Computing (HPC) in EU countries.
Relevance for EXCELLERAT: EXCELLERAT will collaborate with the European National Competence Centres via EuroCC 2 and CASTIEL 2, in joint events, workshops, collaborative partnerships, Continuous Integration and Development efforts, code development, and dissemination activities.
The EuroHPC JU allows the European Union and the EuroHPC JU participating countries to coordinate their efforts and pool their resources to make Europe a world leader in supercomputing. This boosts Europe’s scientific excellence and industrial strength, support the digital transformation of its economy while ensuring its technological sovereignty.
The EVEREST project aims at developing a holistic approach for co-designing computation and communication in a heterogeneous, distributed, scalable and secure system for HPDA. This is achieved by simplifying the programmability of heterogeneous and distributed architectures through a “data-driven” design approach, the use of hardware-accelerated AI, and through an efficient monitoring of the execution with a unified hardware/software paradigm. EVEREST proposes a design environment that combines state-of-the-art, stable programming models, and emerging communication standards, with novel and dedicated domain-specific extensions.
The ambitious exaFOAM project aims at overcoming the current limitations of Computational Fluid Dynamics (CFD) technology, especially in what concerns the exploitation of massively parallel HPC architectures. This will be undertaken through the development and validation of a range of algorithmic improvements, across the entire CFD process chain (preprocessing, simulation, I/O, post-processing). Effectiveness will be demonstrated via a suite of HPC Grand Challenge and Industrial Application Challenge cases where engineering design through CFD has contributed strongly to industrial competitiveness and sustainability across a wide range of sectors (e.g. transportation, power generation, disaster prevention).
Relevance for EXCELLERAT: The focus lies on knowledge exchange regarding the Computational Fluid Dynamics (CFD) process chain, particularly in terms of its applicability for industrial end-users. Benchmarks and codes, available through the EXCELLERAT portal, are provided due to the exaFOAM project’s delivery in sectors relevant to the EXCELLERAT Center of Excellence. Joint events are going to be organised, in order to create synergies while working with the OpenFOAM code.
HiDALGO2 aims to explore synergies between modelling, data acquisition, simulation, data analysis and visualisation along with achieving better scalability on current and future HPC and AI infrastructures to deliver highly-scalable solutions that can effectively utilise pre-exascale systems. The project focuses on five use cases from the environmental area: improving air quality in urban agglomerations, energy efficiency of buildings, renewable energy sources, wildfires and meteo-hydrological forecasting. The common feature of the modelling of the above simulations is the use of numerical analysis of fluid flows by Computational Fluid Dynamics (CFD) method, which is typically very compute-intensive.
Relevance for EXCELLERAT: HiDALGO2 is part of EXCELLERAT’s activities plan that involves collaboration for pre and post-processing in areas such as Data Analytics, Machine Learning, Artificial Intelligence, Visualization, Uncertainty Quantification, and CFD simulations.
Inno4scale is a European initiative, which was started to support the development of innovative algorithms for exascale supercomputers, so their efficient use can be fully exploited. Used in public administration or industry these supercomputers will be able to solve previously unaffordable computational challenges.
Relevance for EXCELLERAT: Innovative alghoritms could be part of the EXCELLERAT services. Knowledge exchange is possible.
IO-SEA aims to provide a novel data management and storage platform for exascale computing based on hierarchical storage management (HSM) and on-demand provisioning of storage services.
Relevance for EXCELLERAT: Access to the platform is coupled with an examination of the platform’s business model and long-term sustainability, potentially encompassing services that could be integrated into the EXCELLERAT portal.
The mission of the MaX Centre of Excellence is to develop the technologies and make them available for large and growing base of researchers in the materials domain.
Relevance for EXCELLERAT: The aim is to exchange knowledge with MaX by engaging in collaborative hardware and software co-design with pertinent European stakeholders, while also undertaking joint dissemination through events and workshops focused on codes.
MultiXscale is a EuroHPC JU Centre of Excellence in multiscale modelling that will allow domain scientists to take advantage of the computational resources that will be offered by EuroHPC.
Relevance for EXCELLERAT: MultiXscale is part of EXCELLERAT’s activities plan that involves collaboration for pre and post-processing in areas such as scalability improvement.
NextSim will focus on the development of the numerical flow solver CODA (Finite Volume and high-order discontinuous Galerkin schemes), that will be the new reference solver for aerodynamic applications inside AIRBUS group, having a significant impact in the aeronautical market.
Relevance for EXCELLERAT: The primary aim is knowledge exchange, with a parallel focus on enhancing collaboration concerning the utilization of the CODA software, given its relevance to both projects. Additionally, extended collaboration is pursued in terms of dissemination activities or workshops, leveraging the participation of partners BSC, CERFACS, and DLR across both projects.
Plasma-PEPSC aims at reaching scientific breakthroughs in plasma science Grand Challenges through exascale computing and extreme-scale data analytics, by enabling unprecedented simulations on current pre-exascale and future exascale platforms to control plasma-material interfaces, optimize magnetically confined fusion plasmas, design next-generation plasma accelerators and predict space plasma dynamics in the Earth’s magnetosphere.
Relevance for EXCELLERAT: The focus lies on knowledge exchange encompassing simulation, data analytics, and code development.
The SCALEXA funding guideline supports HPC as a fundamental research method in various scientific disciplines such as astrophysics, biology, Earth system modelling, and nuclear and particle physics. Engineering and industry also have a growing need for computing power. At the same time, research and applications within the field of artificial intelligence (AI) offer new concepts and perspectives for simulation, modelling, and the analysis of large data volumes.
The Swedish e-Science Research Centre (SeRC) is an environment within the strategic research area (SRA) of e-Science, funded by the Swedish government Strategic Research Area Initiative and based on a collaboration between four universities: Kungliga Tekniska högskolan (KTH), Stockholms universitet (SU), Karolinska institutet (KI) and Linköpings universitet (LiU). It was founded in 2010 resulting from the Swedish Government Bill on Research Policy. In this bill, a total of 24 different strategic research areas were defined, of which e-Science is one.
Relevance for EXCELLERAT: Both projects have an Exascale program to improve e.g. Neko.
SPACE is a newly-funded EU Centre of Excellence focused on astrophysical and cosmological applications. SPACE brings together scientists, community code developers, HPC experts, hardware manufacturers and software developers, to evolve the existing state-of-the-art codes into new products able to efficiently exploit the forthcoming computing architectures.
Relevance for EXCELLERAT: The core objective involves knowledge exchange encompassing co-design, visualization, data analytics, and artificial intelligence within the exascale realm, complemented by collaborative dissemination efforts, as both Centres of Excellence address the aerospace sector. A robust information flow is ensured due to the active involvement of CINECA and BSC in both projects.