HPC Montenegro - Page 7 of 72 - National Competence Centre for High-Performance Computing

05.05.2026.04.05.2026.

Gray Scott school 2026

The Gray Scott School is an advanced training program dedicated to High-Performance Computing (HPC), led by experts from IJCLab, CNRS, Inria, LUPM, LPNHE & LISN. This summer school, in a unique format and entirely free of charge, is dedicated to programming and optimization on Heterogeneous Architectures.

The school covers the optimization of computations on different types of hardware (CPU, GPU), presenting their respective characteristics, architectures and bottlenecks. It covers generic optimization methods applicable to all types of hardware, as well as the various libraries, technologies and languages available to achieve the best possible performance. Ideally, the peak performance of the machine.

Through hands-on sessions, lectures, and regular technical webinars, the school equips participants with the skills needed to design, optimize, and scale high-performance applications.

All optimization techniques taught during the school are illustrated using a single reference problem: the simulation of a Gray Scott reaction.

Dates: 2 weeks between June 22 and July 3, 2026
Location: Online or onsite, or from Satellite Sites
More info & Registration: https://cc-fr.eu/gray-scott-school-2026/
Price : Free of charge.

Open to students, researchers, and professionals with basic programming experience who wish to develop HPC competencies.

Gray Scott Thursdays

What sets this program apart is its in-depth summer sessions combined with a preparatory series of 18 live webinars, from January to June, known as Gray Scott Thursdays. These webinars, held weekly and presented by the school’s professors, provide an early insight into the key concepts and technologies that will be explored more intensively during the school. More info

04.05.2026.05.05.2026.

AIHeal: Using the LUMI Supercomputer to Develop Personalized AI Models for Every Patient

The Montenegrin company ONEAI has successfully carried out a project on the EuroHPC infrastructure, utilizing the LUMI-G supercomputer to develop advanced AI models in the field of ECG signal analysis. Following the successful completion of the previous cycle, the AIHeal project has been granted renewed access to computational resources for the upcoming period.

During the previous project, the team developed a dynamic HPC pipeline that enables training personalized models for each individual patient, with the capability for continuous retraining based on new data. The key innovation lies in establishing an integrated system that connects the existing infrastructure with the supercomputer:

data is automatically collected from the AIHeal system,
sent to the LUMI supercomputer for training,
after processing, the models are returned to the production environment and registered in the MLflow system.

This approach enables the creation of “digital twin” patient models, where each model is tailored to the specific characteristics of the individual, significantly improving anomaly detection accuracy compared to generic models.

By leveraging the LUMI infrastructure, the AIHeal team achieved significant acceleration in the model training process, particularly through parallelization across multiple GPU units and the execution of a large number of experiments simultaneously. This enabled faster identification of optimal models and improved the overall quality of the solution.

The project results confirm that HPC resources play a crucial role in the development of scalable and personalized AI systems in healthcare, especially in the context of real-time biomedical data analysis.

The newly approved access to EuroHPC resources will be used for further model improvement, performance optimization, and expansion of the system to cover a broader range of cardiovascular and other health-related indications.

30.04.2026.30.04.2026.

EuroHPC Access Calls Webinar – Evaluation Process, Technical Assessment and Best Practices

EuroHPC Joint Undertaking has announced an upcoming online event, the EuroHPC Access Calls Webinar – Evaluation Process, Technical Assessment and Best Practices, scheduled for 13 May 2026 from 10:00 to 12:30 (CEST).

The webinar is aimed at researchers and users from both the public and private sectors who are interested in applying for access to EuroHPC supercomputing resources. It will cover key topics such as proposal preparation, evaluation procedures, benchmarking, and successful project implementation. Sessions will be delivered by experts from leading European HPC organizations, offering practical guidance and insights based on real application experiences.

More information and registration are available at:
https://www.eurohpc-ju.europa.eu/media-events/events/eurohpc-access-calls-webinar-evaluation-process-technical-assessment-and-best-practices-2026-05-13_en

26.04.2026.26.04.2026.

EuroCC4SEE Featured at CANU Round Table on AI in Healthcare

The AI-AGE project was presented at the round table “Artificial Intelligence in Healthcare – Challenges and Opportunities”, held on 24 April 2026 at the Montenegrin Academy of Sciences and Arts (CANU) in Podgorica. The event gathered experts from Montenegro and Bosnia and Herzegovina to discuss the role of AI in healthcare, including clinical applications, digital transformation, ethics, medical imaging, NLP, and AI assistants. We used this opportunity to promote the EuroCC4SEE and NCC Monteengro activity.

The round table was an opportunity to promote EuroCC 2 & EuroCC4SEE and NCC Montenegro support

AI-AGE was presented by Prof. Dr Nataša Popović, Faculty of Medicine, University of Montenegro, in the session dedicated to AI in clinical practice. The presentation highlighted key findings of the project and demonstrated how AI can support early detection and screening of chronic diseases, including examples related to colorectal cancer detection and the use of biomarkers.

The main presentation was focused on AI-AGE goals and results (cross-project collaboration)

The event was also an opportunity to promote EuroCC activities and the role of NCC Montenegro in strengthening national capacities in HPC, HPDA, and AI. Participation in this round table further positioned AI-AGE within the broader regional discussion on responsible and clinically relevant use of artificial intelligence in medicine.

22.04.2026.23.04.2026.

IoT Day 2026: IoT, AI and HPC Shaping the Future of Digital Infrastructure

On the occasion of IoT Day 2026, an online seminar titled “IoT, AI, HPC: Shaping the Future” will bring together technologies that are redefining modern digital infrastructure. The event will focus on the practical application of Internet of Things (IoT), Artificial Intelligence (AI) and High-Performance Computing (HPC) in the development of modern digital systems.

During the seminar, experts from DunavNET, DigitalSmart Montenegro, the University of Donja Gorica, and Recrewty will present the projects and solutions they are currently working on, with a special emphasis on real-world applications of these technologies and their importance for digital transformation.

The speakers include: Nebojša Stojanović, Petar Knežević, Dejan Drajić, Anja Jakovljević, Stevan Čakić, Igor Ćulafić, and Mitar Perović.

📅 April 24, 2026
🕙 10:00–11:30 AM
📍 Online seminar
Organized by: EuroCC 2 & EuroCC4SEE, University of Donja Gorica, and DunavNET

The event is open to researchers, engineers, developers, and everyone interested in current trends and practical applications of IoT, AI, and HPC.

Join via Microsoft Teams (open for everyone):
https://events.teams.microsoft.com/event/da701818-2b37-4111-97d8-dc277e81d88a@a3a630ac-fa20-4e00-baab-ceeede9da950

08.04.2026.27.10.2026.

HPC Use Case: Large-Scale Text Analysis of Industrial Policy

Within the EuroCC initiative, this project demonstrates how High Performance Computing (HPC) enables a new approach to analysing industrial policy through large-scale text data.

Modern innovation policies are increasingly embedded in strategies, reports, and policy documents. This project treats those documents as data, transforming them into measurable indicators that can be linked to national innovation performance.

From Raw Data to Analytical Insights -The study started with over 50,000 policy documents and processed more than 36,000 clean texts, resulting in a structured dataset of 825 country-year observations across 55 countries (2007–2021).

Using Natural Language Processing (NLP), the project extracts key policy signals, including:

policy attention (how much a topic is discussed)
policy orientation (whether it is framed positively or negatively)

These signals allow policy discourse to be analyzed quantitatively and linked to innovation outcomes.

HPC infrastructure was essential for executing the full pipeline.

The complete workflow was finished in approximately 16 hours, while the same process on a standard laptop would take several weeks.

This enabled large-scale data processing, rapid iteration of models, and robust cross-country analysis.

The results show that industrial policy does not have a uniform effect on innovation. Instead, its impact depends on both the type of policy and how it is communicated.

Key insights include:

different policy categories influence innovation outcomes differently
scientific publications respond faster than patents or R&D investment
text-based policy signals can serve as early indicators of changes in innovation environments

Impact – This project highlights how HPC enables:

transformation of unstructured text into analytical datasets
integration of policy analysis with economic outcomes
development of new tools for monitoring innovation systems

It also demonstrates the value of policy documents as a strategic data source for researchers, firms, and policymakers.

31.03.2026.06.04.2026.

Successfully Implemented Training on 3D Printing, Generative AI, and HPC

The training on 3D Printing, Generative AI, and High-Performance Computing (HPC) was successfully implemented as planned, bringing together participants interested in emerging digital technologies and their practical application in design and production. Through the training, attendees had the opportunity to explore the fundamentals of 3D printing, digital modelling, and the growing role of generative AI tools in creating and improving 3D models.

There was around 40 people attending the 2-day course

A key message of the training was that generative AI is becoming an important driver of innovation, enabling faster idea generation, automated design support, and new creative workflows. At the same time, such models often require significant computing power for training, fine-tuning, and large-scale inference. This is where HPC plays a crucial role, providing the infrastructure needed to efficiently run advanced AI models and support more complex, data-intensive tasks. By connecting 3D printing, generative AI, and HPC, the training highlighted how these technologies can work together to accelerate innovation in education, research, and industry.