We have gathered information about training events in HPC, big data, and artificial intelligence offered in Latvia and Europe. Here you can find training events according to your HPC knowledge level, scientific domain, technical domain, teaching format, and training language.
Here you can choose the most suitable education in HPC, big data or artificial intelligence. HPC competence center in Latvia is one of overall 33 HPC competence centers in Europe. One of the competence center’s task is to identify current competences in the country regarding HPC use, as well as improving your current skills via different training events.
Courses offered by HPC competence center in Latvia

The course “Introduction to high-performance computing technology CUDA” is offered in collaboration with RTU HPC center. The training covers the theoretical and practical principles of high-performance computing hardware and software architecture, computing algorithms, application libraries and tools, as well as applied interdisciplinary use of GPU-based parallel computing platform CUDA.

The course “Applied use of the high-performance computing technology CUDA” is offered in collaboration with RTU HPC center. The training covers the theoretical and practical principles of CUDA implementation on multiprocessor graphical systems and CUDA cloud computing possibilities in a remote server environment, in particular.

“MATLAB introductory course” is offered in collaboration with RTU HPC center. MATLAB is a high-level language and interactive environment for numerical computation, visualisation, and programming. The course covers basic language constructions, functions, scripts, data filtering and cross-section design, as well as shows relational operations, symbolic math, as well as data import and export.




Running MATLAB on HPC (Part 2)

NVIDIA Deep Learning Institute course presented by NVIDIA Ambassador in Latvia Asoc. professor Dr. sc. ing. Arnis Lektauers. The course will cover CUDA basics. Next course will be on November 21 and 28 (8h in total). This course will be provided in Latvian with presentation slides from NVIDIA in English. In order to take part in the course, please register first. Number of participants is limited.

Simulink is a block diagram environment used to design systems with multidomain models, simulate before moving to hardware, and deploy without writing code.
Webinar was created in collaboration with RTU HPC Center. Recording from the webinar on 28.06.2024. is available on our YouTube channel.

MATLAB organizes seminars and practical workshops between September 9 and 25, 2025 on using MATLAB on HPC. Workshop on RTU HPC will be on September 23, 15:00-18:00 EEST.
- September 9 – parallel computing on HPC with MATLAB;
- September 16 – creating end-to-end AI systems with MATLAB;
- September 23 – hands-on practice to use MATLAB on RTU HPC.

A course on introduction to CUDA in English, primarily for participants from Latvia and Poland. Time and date: March 25 and April 1, 15:00-18:00 CET.
Courses available in Latvia in HPC, Big data or artificial intelligence
Here you will find information about training events offered in Latvia in HPC, big data, and artificial intelligence offered by:
- Riga Technical University (RTU);
- University of Latvia (LU);
- Latvia University of Life Sciences and Technologies (LLU);
- RTU Liepaja (LiepU);
- Riga Stradins University (RSU);
- Rezekne Academy of Technologies (RTA).
If you offer training in HPC, big data or artificial intelligence, however it is not seen here, please contact [email protected], to include your course in the list.
Training offered by HPC competence centers in Europe
You can find training events according to your HPC knowledge level, scientific domain, technical domain, teaching format, and training language at Portal for European HPC services. Here you will find the training offered by all 33 competence centers in Europe within EuroCC.
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This project has received funding from the European High-Performance Computing Joint Undertaking (JU) under grant agreement No 101101903. The JU receives support from the Digital Europe Programme and Germany, Bulgaria, Austria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, Greece, Hungary, Ireland, Italy, Lithuania, Latvia, Poland, Portugal, Romania, Slovenia, Spain, Sweden, France, Netherlands, Belgium, Luxembourg, Slovakia, Norway, Turkiye, Republic of North Macedonia, Iceland, Montenegro, Serbia.