The NCC organises a number of training events, tailored for the general community, for industry and across various levels of difficulty.
Attending a training event will also include training user accounts on the national HPC system hosted by The Cyprus Insitute. This allows participants to get accustomed to using a top of the range system, and ideally apply for access upon which to run their projects.
Below is the list of training events that will take place, as well links to our previous events where full details and material can be found.
Upcoming Training Events
Previous Training Events
Introduction to High Performance Computing, High Performance Data Analytics and Large-Scale Machine Learning
Date: 9 Thursday November 2023
Check our beginner-level training event where you’ll learn the basics of High Performance Computing, Machine Learning, and Artificial Intelligence in a simple and engaging way. Through easy-to-follow lectures and hands-on activities, grasp the concepts behind deep learning and neural networks. Plus, get practical tips on using the Cyprus Institute’s High Performance Computing Facility and learn how to program in C++ using GPUs.
Emerging trends in generative artificial intelligence, data analytics, and high-performance computing
Date: 13 – 14 September 2023
A comprehensive two-day meeting that offers a deep dive into cutting-edge technologies like large language models and high-performance computing.
This event is part of the EuroCC2 project and the National Competence Center activities and is co-organised with the Limassol municipality.
Data analytics in the era of large-scale machine learning
Date: 23 – 24 May 2023
Our first EuroCC2 project training event titled “Data analytics in the era of large-scale machine learning”, in collaboration with the Greek NCC, will take place 23 – 24 May 2023 and will include the following topics:
- Large-scale generative models for language and vision (including LLMs): How they work – and what we still do not know about them
- PyTorch Neural Networks: Running on CPUs and GPUs
- Streamlined Data Analysis with NBML: Harnessing AI Algorithms for Predictive Modelling
- Efficient Data Cleaning and Preprocessing Techniques for Robust Machine Learning
- GPU CUDA Programming
The event will also feature a research seminar titled “Tensorization and uncertainty quantification in machine learning” by Dr Yinchong Yang, Siemens AG.