EUROCC
The main task of this Euro HPC project “National Competence Centres in the framework of EuroHPC (EuroCC)” is to set up a network of competence centers in Europe to promote the use of high-performance computing capabilities in higher education, research, public administration, and industry (especially SMEs). Competence centers will gather the competences, experience and computing resources available in all countries of the European Union.
Europe has set the goal of developing High Performance Computing (HPC). The EuroHPC Joint Undertaking has already been set up and the European Commission is financing projects. For the EuroCC project in Latvia, 50% of the funding comes from the H2020 programme and 50% from the Ministry of Education and Science (IZM).
Latvia is represented by Riga Technical University (RTU) and the University of Latvia (LU) in the project.
Coordinator: UNIVERSITAET STUTTGART
Partners: 33
Funding: 50% ES H2020 (EuroHPC Joint Undertaking); 50% national funding within partner countries
Funding for Latvia: 1 M €
Implementation period: 01.09.2020-31.08.2022
Latvia is represented by RTU and LU
Tasks of the Latvian Competence Center
The EuroCC project aims to create a European High Performance Computing (HPC) Competence Center Network. Latvia is also involved in the EuroHPC Joint Undertaking by the Ministry of Education and Science (IZM), and EuroCC is one of the projects approved by this Joint Undertaking. The competence centres set up during the project will be tasked with building a single support structure, which will gather the competences, experience, and computing resources available in all countries of the European Union.
The main activities of the project for the network as a whole and for each Competence Center are closely coordinated. The following events are planned for the Latvian Competence Center:
1. Governance. Establishment of the administrative structure of the Latvian Competence Centre, attraction of specialists and development of road maps.
2. Development of competences. To identify the necessary knowledge and skills, find experts, organise training activities, and build learning tools.
3. Technology transfer. To build a network of experts capable of demonstrating and supporting potential high-performance computing applications in different areas.
4. Cooperation with industry. To find the most effective ways to identify possible areas of efficient application of computing algorithms, and develop collaboration.
5. New competencies. Acquire the latest high-performance computing applications in process modelling, artificial intelligence, data analysis, etc. in current areas in Latvia.
6. Knowledge repository. To collect information about services, tools, and create a set of demo calculations accessible for everyone.
