IT4Innovations is currently also acting as the coordinator of the H2020 LEXIS project as well as a member of the H2020 POP2 Centre of Excellence and the FETHPC ExaQUte project. Moreover, IT4Innovations is involved in development of the European Space Agency (ESA) funded Urban Thematic Exploitation Platform, and in the past it participated in a number of projects supported by the FP7 and H2020 programs such as PRACE, EXA2CT, HARPA, ExCAPE, ANTAREX, READEX, SESAME NET, and many others.
Partnership for Advanced Computing in Europe
PRACE is a Research Infrastructure that allows researchers from across Europe to apply for time on high-performance computers of different member states via a central peer review process. Curently the 6th phase of the project of the same name is running.
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.
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.
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.
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.
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.
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).
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.