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.
During six lessons, you will learn to use the programming language MATLAB on the HPC cluster. We will look at parallel computing in order to divide the computing tasking different computing cores or computing processors both in terms of power and memory.
This course covers specific Matlab tools for the use of HPC or supercomputer.
The course “Introduction to SOLIDWORKS” is offered in collaboration with RTU HPC Center. The training course provides the basics of computer design using the SOLIDWORKS software that is used by the industry and higher education institutions and allows intuitive creation of product digital models that can be used in digital simulations, for visualization of new products, 3D prototypes, etc.
This course is a continuation for the “Introduction to MATLAB”, where information will be given on elementary math functions, linear algebra functions, as well as graphing questions and various optimization questions: minimization, in the case of one, multi-variable functions, substitution with an orthogonal function series and optimization problem formulation approach, etc.
Running MATLAB on HPC (Part 2)
This course is currently under development, and will supplement the course “MATLAB for the use of HPC”. The course is planned for Spring 2023. Further information will follow.
The training webinar covers theoretical and practical principles of creating Neural networks in MATLAB, and running training process on supercomputers or HPC. More information is available here. This webnar has been created in collaboration with CoE RAISE and RTU HPC Center.
Video recording from October 16, 2023 is available on our YouTube channel.
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.
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 951732. The JU receives support from the European Union’s Horizon 2020 research and innovation programme and Germany, Bulgaria, Austria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, Greece, Hungary, Ireland, Italy, Lithuania, Latvia, Poland, Portugal, Romania, Slovenia, Spain, Sweden, United Kingdom, France, Netherlands, Belgium, Luxembourg, Slovakia, Norway, Switzerland, Turkey, Republic of North Macedonia, Iceland, Montenegro.