IT4Innovations is currently the National Competence Centre in HPC, a member of the MaX and SPACE Center of Excellence, and a partner of more than ten other international, primarily Horizon Europe projects, coordinating the EXA4MIND project. Moreover, IT4Innovations is involved in the development of the European Space Agency (ESA) funded Urban Thematic Exploitation Platform and participates in the ESA BLENDED (Blockchain-Enabled Deep Learning for Space Data) project. In the past, it participated in an array of projects supported by the FP7 and H2020 programmes, such as LEXIS (IT4Innovations was the project coordinator), PRACE, EXA2CT, HARPA, ExCAPE, ANTAREX, READEX, SESAME NET, and many others.
EXtreme Analytics for MINing Data spaces
EXA4MIND project will build an Extreme Data platform which brings together data storage systems and powerful computing infrastructures by implementing novel automated data management and effective data staging. The project is driven by four application cases from molecular dynamics, advanced driver assistance systems, smart agri-viticulture and health and social Big Data. The EXA4MIND proposes innovative solutions to complex everyday data-processing problems and addresses critical challenges like data analytics, Machine Learning and Artificial Intelligence at scale; effectively democratising access to and enabling connectivity across EU supercomputing centres.
National Competence Centres in the framework of EuroHPC
The mission of EuroCC 2 is to continue the establishment of a network of National Competence Centres (NCC) in the most efficient way while continuing to address the differences in the maturity of HPC deployment in Europe. The main task of the overall activity is to support national centres in setting up their operational frameworks while accessing and making the most of the experience and expertise currently available at national and European levels. The main goal is to drive collaboration, and exchange of best practices and knowledge at the European level and to accelerate the improvement of national and thus European capabilities.
Scalable Parallel and distributed Astrophysical Codes for Exascale
In Astrophysics and Cosmology, High-Performance Computing-based numerical simulations are outstanding instruments for scientific discovery. They represent essential tools and theoretical laboratories able to understand physical processes behind the observed sky for which the effective exploitation of exascale computing capabilities is essential. Exascale systems have an unprecedented architectural complexity with a significant impact on simulation codes. The SPACE Centre of Excellence aims to extensively re-engineer target codes to engage with new computational solutions and adopt innovative programming paradigms, software solutions, and HPC libraries.
dEsign enVironmEnt foR Extreme-Scale big data analyTics
The EVEREST project is developing a holistic approach for co-designing computation and communication in the high-tech and especially secure system for HPDA. This will be 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. The project will validate its approach by applying it in real-life business scenarios such as a weather analysis-based prediction model, an application for air-quality monitoring and a smart city traffic modelling framework.
Quantum Key Distribution
The project aims to establish a testbed of a highly-secure network using principles of quantum mechanics for the key distribution. The overall budget of the three years-long project is 18 mil. EUR, and it is the largest implementation of QKD (Quantum Key Distribution) in Europe so far. The role of IT4Innovations lies in three areas especially. The first one is a real use-case of HPC via QKD between IT4Innovations and PSNC. The second domain is participation in the development and implementation of key management. The last one is a simulation of QKD use-cases of all partners in the project and also an improvement of QKD simulator, which is being developed as an open-source in Ostrava. In simulations, we use the resources of the IT4Innovations National Supercomputing Center.
Supercomputing knowledge partnership
The mission of this project is a methodological approach towards complementing the gaps in current higher education courses and taking up HPC knowledge for future science, technology, engineering and mathematics (STEM) professionals.
HPC big dAta artifiCial intelligence cross stack platfoRm tOwardS exaScale
The ACROSS project will co-design and develop an HPC, BD, and Artificial Intelligence (AI) convergent platform, supporting applications in the Aeronautics, Climate and Weather, and Energy domains. To this end, ACROSS will leverage on next generation of pre-exascale infrastructures, still being ready for exascale systems, and on effective mechanisms to easily describe and manage complex workflows in mentioned three domains. ACROSS will combine traditional HPC techniques with AI (specifically machine learning/deep learning) and BD analytic techniques to enhance the application test case outcomes.
LIgand Generator and portable drug discovery platform AT Exascale
The project LIGATE aims to integrate and co-design best in class European open-source components together with proprietary IPs to keep worldwide leadership on Computer-Aided Drug Design (CADD) solutions exploiting today high-end supercomputer and tomorrow Exascale resources, fostering the European competitiveness in this field. The proposed LIGATE solution, in a fully integrated workflow, enables to deliver the result of a drug design campaign with the highest speed along with the highest accuracy; further implementing the auto-tuning the parameters of the solutions to meet the time and resource constraints.
SCAlable LAttice Boltzmann Leaps to Exascale
In SCALABLE project eminent industrials and academic partners team up to improve the performance, scalability, and energy efficiency of an industrial Lattice Boltzmann methods-based computational fluid dynamics (CFD) software. Lattice Boltzmann methods (LBM) have already evolved to become trustworthy alternatives to conventional CFD. LBM is especially well suited to exploit advanced supercomputer architectures through vectorization, accelerators, and massive parallelization. The project will directly benefit the European industry, while contributing to fundamental research.
Data Infrastructure Capacity for EOSC
The DICE consortium brings together a network of computing and data centres, research infrastructures, and data repositories for the purpose to enable a European storage and data management infrastructure for EOSC, providing generic services and building blocks to store, find, access and process data in a consistent and persistent way.
Novel Spin-Based Building Blocks for Advanced TeraHertz Applications
s-NEBULA explores and develops a revolutionary approach to TeraHertz (THz) technology, both for generation and detection of THz radiation, initiating the new field of spin-based TeraHertz technology, a game changer for the future of THz field. The ambition of the project is to provide a platform of room-temperature innovative spin-based THz building blocks, arising from novel combinations of magnetism and optics. s-NEBULA will provide cutting-edge solutions to solve bottleneck scientific issues in the THz field motivated by clear needs in judiciously chosen target applications.
IO Software for Exascale Architecture
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. The platform will efficiently make use of storage tiers spanning NVMe and NVRAM at the top all the way down to tape-based technologies. Advanced IO instrumentation and monitoring features will be developed in the IO-SEA project leveraging the latest advancements in AI and machine learning to systematically analyze the telemetry records to make smart decisions on data placement.
European Pilot for Exascale
The EUPEX consortium aims to design, build, and validate the first EU platform for HPC, covering end-to-end the spectrum of required technologies with European assets: from the architecture, processor, system software, development tools to the applications. The EUPEX prototype will be designed to be open, scalable and flexible, including the modular OpenSequana-compliant platform and the corresponding HPC software ecosystem for the Modular Supercomputing Architecture. Scientifically, EUPEX is a vehicle to prepare HPC, AI, and Big Data processing communities for upcoming European Exascale systems and technologies.
European Master For High Performance Computing
The consortium consists of universities, research and supercomputing centres, industrial partners, and other collaborating institutions led by the University of Luxembourg. The aim of the consortium is to launch master's degree programmes at eight European universities: the University of Luxembourg, Universitat Politècnica de Catalunya, Politecnico di Milano, Friedrich-Alexander-Universität Erlangen-Nürnberg, Sorbonne Université, Sofia University St. Kliment Ohridski, Università della Svizzera Italiana and Kungliga Tekniska Hoegskolan. It is envisaged that the list of participating universities and institutions will be expanded in the future. This activity is part of the broader strategy of the EuroHPC Joint Undertaking to support the development of key skills and education and training in HPC for the needs of European science and industry.
Biodiversity Digital Twin for Advanced Modelling, Simulation and Prediction Capabilities
BioDT's goal is to push the current boundaries of a predictive understanding of biodiversity dynamics by developing a Digital Twin providing advanced modelling, simulation, and prediction capabilities. By exploiting in new ways existing technologies and data available across relevant research infrastructures, the BioDT project will be able to more accurately model the interaction between species and their environment. Scientists at Research Infrastructures will be able to use the BioDT to 1) better observe changes in biodiversity, 2) relate these changes to possible causes, and 3) better predict the effects of changes based on influences on these causes by either climate or human intervention. The consortium brings together a dynamic team of experts in biodiversity, high-performance computing, artificial intelligence, and FAIR data to realise the first biodiversity Digital Twin prototype.
Piloting a Cooperative Open Web Search Infrastructure to Support Europe's Digital Sovereignty
In the OpenWebSearch.EU project, 14 renowned European research and supercomputing centres have joined forces to develop an open European infrastructure for web search. This project will be contributing to Europe's digital sovereignty as well as promoting an open human-centered search engine market. Within three years the researchers will develop the core of a European Open Web Index as a basis for a new Internet Search in Europe. In addition, the project will set the foundation for an open and extensible European open Web Search and Analysis Infrastructure, based on Europe’s values, principles, legislation and standards.
MAterials design at the eXascale
Materials simulations have become one of the most intensive and fast-growing domains for high-performance computing worldwide, with a recognized European leadership in developing and innovating the ecosystem of quantum simulation codes. MAX project will target these lighthouse codes to address the challenges and leverage the opportunities arising from future exascale and post-exascale architectures, and to offer powerful paths to discovery and innovation serving both scientific and industrial applications.
The evaluation of information to support decision-making within crisis management processes, namely floods. The development of a system to monitor, model, predict and support solutions to crisis situations, with a special focus on the Moravian - Silesian Region.
Evaluating information on carriers' performance in public transport and population mobility using location and operational data of mobile networks. Thanks to new findings on population behaviour from the time-spacial perspective, we support public administration and business decision-making to increase the efficiency of public transport, the quality of life for citizens and the environment.
Doctoral School for Education in Mathematical Methods and Tools in HPC
Project number: CZ.02.2.69/0.0/0.0/16_018/0002713
The main objective of the project is the establishment of a Doctoral School for Education in Mathematical Methods and Tools in HPC, integrating doctoral studies at Charles University, the Czech Academy of Sciences, and VSB-TUO. Part of the project is the modernization and internationalization of one of the doctoral programs of the Doctoral School (Computational Sciences, VSB-TUO) and the creation of new double degree program (planned in collaboration with Université Toulouse III Paul Sabatier, France).
Research and development of application SW tool for effective evaluation of catalytic processes
Project number: CZ.01.1.02/0.0/0.0/21_374/0026707
The goal of the project is to create SW both for effective evaluation of catalytic processes and for comprehensive support in the design of SCR technologies for industrial applications. SW will be based on machine learning algorithms and flow calculations. The project is supported by a subsidy based on the decision to provide a subsidy and is solved in cooperation with the VSB – Technical university of Ostrava. The project is being solved in the period 8/2021 to 5/2023.
SmartFleet – AI based software for a full utilization of electric cars in companies and maximization of their share in the car fleet
Project number: CZ.01.1.02/0.0/0.0/20_321/0024896
The project goal is to create a SmartFleet platform which should enable optimization of company car fleet in terms of its composition and utilization with the aim to maximize the share of cars with alternative fuel (especially electric cars). The solution will be developed as interdisciplinary and open which means flexibility in terms of new inputs (e.g. location of hydrogen stations in the future) enabling iteration when considering modification of the car fleet and solving complete car fleet lifecycle – from purchase planning, daily planning to online monitoring and response to everyday changes.
Holograms with active security elements
Project number: CZ.01.1.02/0.0/0.0/20_321/0024953
The goal of the project is to develop new products in the field of security holography that will be highly competitive in the world markets. It is based on joint industrial research of Optaglio company and research institution VSB-Technical University of Ostrava. The products are new and original security element protecting falsification. The project is focused on original approaches of security holography combining high technological production and advanced methods of nanostructure design.
Digital twin of product within Siemens plants
Project number: CZ.01.1.02/0.0/0.0/17_176/0015651
The aim of the project is research and development of a digital twin of a product in Siemens, s.r.o. The research and development of the digital twin of the product, an asynchronous electric motor, will take place in the spin-off plant Siemens, s.r.o. Electric motors Frenstat. The project partners are VŠB - Technical University of Ostrava and SVS FEM s.r.o. The output of the project is a functional sample.
Development, security and scalability of cloud services in the area of digital transformation
Project number: CZ.01.1.02/0.0/0.0/20_321/0024591
The project goal is to conduct research and development activities in the area of solutions for digital transformation using cloud technologies. The goal will be achieved thanks to effective collaboration of Y Soft Print Management Solutions, a.s. with VSB – Technical University of Ostrava and Czech Technical University in Prague. New functionalities of software solution SafeQ Cloud will be the output of the project which will contribute to faster, safer and more effective company digitalization.
National Competence Centres in the framework of EuroHPC
The EuroCC project will bring together the expertise to create a European network of national competence centers for HPC in 31 European states to provide a service portfolio for industry, academia, and public administrations. It aims to increase the competences and capabilities of High Performance Computing, High Performance Data Analytics and Artificial Intelligence and to close existing gaps to increase usability of these technologies in the different states.
IT4Innovations National Supercomputing Center –
Path to Exascale
Project number: CZ.02.1.01/0.0/0.0/16_013/0001791
The objective of this project is to upgrade and modernize the research infrastructure of IT4Innovations so as to minimally maintain the existing technological level of HPC in the Czech Republic in comparison with developed, particularly European, countries.
The activities of this project are aimed at modernizing the current Anselm cluster as well as the Salomon supercomputer. Additional objectives of the project also include the support of high-quality research across the wider academic community in the Czech Republic and the expansion of existing research activities at IT4Innovations in the field of modeling photonic and spin-photonic structures, design of progressive materials based on electronic structure calculations, and analysis of bioimages using HPC.
Large-scale Execution for Industry & Society
The target of the project is to build an advanced engineering platform leveraging modern technologies from High Performance Computing, Big Data and Cloud Computing. The benefits of the LEXIS project will be demonstrated in the context of three industrial large-scale pilots which are aeronautics, weather and climate, and earthquake and tsunami.
Performance Optimisation and Productivity 2
POP2 extends and expands the activities successfully carried out by the POP Centre of Excellence since 2015. The POP2 project is primarily focused on providing assistance with analysis of parallel applications, identification of bugs in codes, and recommendation of optimization methods, leading to higher performance and better scalability of a given application.
Exascale Quantifications of Uncertainties for Technology and Science Simulation
The aim of the three-year long project ExaQUte is to develop new methods for solving complex engineering problems using computational simulations on exascale systems. Within the project new computational methods and software tools for solving aerodynamic simulations to optimize geometrically complex structures will be developed.
The work of IT4Innovations in the project involves collaborating in the deployment of Hyperloom and COMPss tools on high performance computing systems, and their configuration and optimization. IT4Innovations will also be involved in testing robust algorithms for shape optimization of structures under wind loads.
Technology transfer via multinational application experiments
The objective of this project is to implement the European "Smart Anything Everywhere" initiative in the field of Customized Low Energy Computing for cyberphysical systems and the Internet of Things. The key purpose of this initiative is to accelerate innovations in European industry. The initiative connects technical and application know-how, which helps small and medium-sized enterprises adopt advanced digital technologies more effectively and efficiently.
Cloudification of Production Engineering for Predictive Digital Manufacturing
The mission of the project is to contribute to efficient use of high performance computing by European small and medium-sized production companies and thus increase their competitiveness. This project aims at optimization of production processes and productivity of companies using HPC-based modeling and simulation, as well as cloud services.
EXperiments and high PERformance computing for Turbine mechanical Integrity and Structural dynamics in Europe
The objective of this project is to educate researchers able to participate in interdisciplinary cooperation in the areas of supercomputing and mechanics. The colaboration between industrial partners and research organizations will speed up development of the key technologies in turbomachinery and their rapid commissioning in practice. The project is supported by Marie Skłodowska-Curie Innovative Training Networks grant within Horizon 2020.
High-Performance Computing for effective Innovation in the Danube region
The main objective of InnoHPC is to create transnational HPC laboratory for co-designing knowledge-intensive innovative products with high value-added in transnational value-chains. InnoHPC targets small and medium sized enterprises and clusters, providing the opportunity to increase efficiency of innovations and join transnational value-chains in the Danube region. Higher education and research institutions with HPC will get access to exciting real-life cases and opportunities to exploit their entrepreneurial potential.
Runtime Exploitation of Application Dynamism for Energy-efficient eXascale computing
The supercomputers energy consumption increases with approaching to exascale. The main goal of the participating institutions is to develop autotunning tool which makes the computations and simulations more energy efficient employing new scenarios and techniques changing software and hardware parameters as e.g. frequency of computational cores. The task of IT4I consists in evaluation of dynamism in HPC applications, manual tunning especially of FETI solvers based on domain decomposition combining direct and iterative methods, and evaluation and validation of developed tools taking results of manual tunning as the baseline.
AutoTuning and Adaptivity appRoach for Energy efficient eXascale HPC systems
The main goal of the ANTAREX project is to provide a breakthrough approach to express by a Domain Specific Language the application self-adaptivity and to runtime manage and autotune applications for green and heterogeneous High Performance Computing systems up to the Exascale level.
Exascale Compound Activity Prediction Engine
The main goal of the ExCAPE project is to develop Exascale compound activity prediction engine by producing the state-of-the-art scalable algorithms and implementations suitable for running on future Exascale machines. Designed methods will enable processing and analysis of the industry scale complex pharmaceutical analysis workloads.
Transport Systems Development Centre
A comprehensive solution for the issue of modeling, management, and transportation optimization.
Harnessing Performance Variability
The aim of the project is to design and develop methods for effectively solving problems relating to load distribution on heterogeneous multi-core systems in order to ensure the proper functioning and availability of these systems.
EXascale Algorithms and Advanced Computational Techniques
The objective of this FP7 project is to create an open modular software prototype, which will introduce new algorithms and programming techniques developed in the framework of the project. The prototype will be a demonstration of creation of new codes focused on exascale computing.
Supercomputing Expertise for Small and Medium Enterprises
The aim of this project is to establish a network of centers mutually cooperating and supporting small and medium-sized enterprises in exploitation of HPC for their development. Within the scope of this project, educational materials, manuals, and educational events portfolio, which will be freely available in all European countries, will be prepared.