Moreover, IT4Innovations is a research and development centre with strong international links and as such it actively participates in a number of prestigious international organizations (PRACE, ETP4HPC, EuroHPC, I4MS, BDVA, EUDAT CDI, HiPEAC, and Eurolab4HPC) and in more than a dozen of international projects funded primarily by the Horizon 2020 program.
Supercomputers help all experts understand complex systems and allow their further development to be foreseen. They can find their areas of application wherever it would otherwise be impossible, expensive, or too long in case of applying traditional methods. At IT4Innovations, the supercomputers are mainly used in the design of new materials and drugs, development of new products, big data analysis, and optimization of production processes using all too often artificial intelligence algorithms.
Every 3 years, IT4I chooses research activities with highest possible scientific impact and social and economic contribution. The evaluation committee consisting of members of the international Research Council of the IT4Innovations Centre of Excellence has currently chosen the following 3 research flagships:
Researcher: Dr Tomáš Brzobohatý
The latest technological advances in computing have brought a significant change in the concept of new product design, production control, or autonomous systems. In the last few years, we have been witnessing the considerable transition to virtual prototyping and gradual pressure on integrating large part of the industrial sector in the fourth industrial revolution. The main objective of the flagship is to create a robust open-source package ESPRESO applicable for a wide range of complex engineering simulations in areas such as mechanical engineering, civil engineering, biomechanics, and energy industry. The open-source approach allows automatized simulation chains, based on HPC-as-a-service, such as automatized systems for shape or topological optimization which will be created on the top of the ESPRESO framework. For all the framework components, development of highly scalable methods allowing full utilization of the computational capacity of state-of-the-art supercomputers will be strictly enforced. This work enables to enlarge the IT4Innovations portfolio of services offered to industry and extend the IT4Innovations HPC demonstrators based on real applications.
Researcher: Dr Dominik Legut
Since the advances in HPC the simulation of material behavior has played a key role in our lives. This fact was even more pronounced once there was a way to perform quantum mechanical calculations to obtain electronic structure of materials and its behavior to link to many physical and chemical properties. First-principles (ab initio) calculations at present are the parameter free approach for i) verification of the experiments ii) to simulate conditions or calculate material properties that are not directly accessible or measurable iii) to design novel materials. Within the flagship we address fundamental and state-of-the-art topics like to design nuclear fuels materials from radioactive compounds for IVth generation nuclear reactors, ultrafast magnetization dynamics for novel data storage, complex spintronic devices exploiting multiferroicity, and engineering applicable materials at finite temperatures and pressures, e.g. novel permanent magnets.
Researchers: Dr Jan Martinovič, Dr Stanislav Böhm, Dr Václav Svatoň
The main goal of the most supercomputing centres is to lower the entry barriers to the world of HPC computing for all users from research institutes, industry, hospitals, state administration, etc. while not sacrificing execution performance. The flagship team is focused on the development of the HPC-as-a-Service concept (HaaS) which is an integral solution for HPC centres to make their HPC services available to a much broader user base. Particularly, the High-End Application Execution Platform (HEAppE Platform) is developed at IT4Innovations. This platform is not targeting one particular type of hardware for current HPC and future exascale systems but aims to provide a solution which could be deployed to different systems and computing centres. Through this platform all users can take advantage of the technology without an upfront investment in the hardware. Simultaneously, large portion of HPC workloads are scientific pipelines composed by domain specialists who do not have a deep knowledge of HPC technologies.
Therefore the aim is also to continue in the development of programing models capable of user-friendly workload description as well as runtime layers capable of their efficient execution in large scale distributed environments (e.g. in-house software HyperLoom) and open-source the results as much as possible to increase their potential impact.
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.
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.
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.