Successful presentation and from Dejan Babic from University of Donja Gorica at the EuroCC4SEE Seminar organized by NCC Turkiye. This was a part of the EuroCC4SEE project, five countries – Türkiye, Serbia, Montenegro, North Macedonia, and Bosnia and Herzegovina – have joined forces to present an engaging online seminar series titled: “5 Beats of Intelligence: AI Meets Diverse Domains”.
More details on schedule of seminar presentations and and registrations can be accessed at NCC Turkiye website at the foillowing link.
Successful presentation at the Seminar series, around 25 attendeesThe presentation covered use cases from the AI-AGE project implemented at UDG with NCC support
On May 27, 2025, the National Competence Center for HPC in Montenegro organized a one-day short course titled “Introduction to SLURM on Computing Cluster.” This training session was designed to introduce participants to the basics of SLURM, the most widely used workload manager for high-performance computing environments.
dr Luka Filipovic gave an introduction to UDG computiong cluster, SLURM comands
The course gathered 13 attendees, including postgraduate students, academic researchers, and a few representatives from industry. The participants had the opportunity to learn how to submit, manage, and monitor jobs on an HPC system using SLURM through a mix of theoretical overview and hands-on examples.
ms Enisa Trubljanin presented her research, activity of UDG AI Club
The short course started with a presentation from ms Enisa Trubljanin, where she discussed the use of AI and HPC in education. She was focused on developing prediction models for computer vision. Then, dr Luka Filipovic gave a presentation on SLURM with practical examples and demonstrations on UDG cluster. The course was wrapped up with presentation by mr Dejan Babic, who described Conda and demonstrated how it can be used for creation of virtual environments for different HPC experiments. Finally, Luka and Dejan discussed the Jupyter notbook setup on UDG cluster, its configuration and access.
mr Dejan Babic gave a presentation of Conda and its use on UDG cluster
With a focus on practical knowledge and real-world usage scenarios, the training aimed to support users in better utilizing HPC resources for data processing, simulations, and advanced research tasks.
The course gathered 13 attendees: students, academic researchers, and representatives from industry.
Together with NVIDIA and OpenACC organization, EuroCC2 will host a virtual Profiling AI Software Bootcamp on July 9-10, 2025.
The Profiling AI Software Bootcamp covers the process and tools needed to profile AI and machine learning applications to fully utilize high-performance systems. Attendees will learn to profile applications using NVIDIA Nsight™ Systems, a system-wide performance analysis tool; analyze and identify optimization opportunities; and improve performance of applications to scale efficiently across systems of any quantity or size of CPUs and GPUs. Additionally, this bootcamp will walk through the system topology to learn the dynamics of multi-GPU and multi-node connections and architecture.
People who complete the bootcamp are encouraged to apply to participate in the upcoming EuroCC AI Hackathon, which will be open for applications shortly.
Due to EuroCC2 regulations, generic or private email addresses cannot be accepted. Please use your official university or company email address to prove your affiliation when applying.
Application Deadline: 16th June 2025
Prerequisites: Basic experience with Python programming and PyTorch distributed training.
Event format: This bootcamp will be hosted online in Central European Summer Time (CEST). All communication will be through Zoom, Slack and email.
Compute Resources: Attendees will be given access to a GPU cluster for the duration of the bootcamp.
HPC Serbia organized a face-to-face regional EuroCC4SEE Workshop in Belgrade from 20 to 22 May 2025. NCC Montenegro team members participated in the event and give presentation about National Competence Center in HPC Montenegro.
EuroCC4SEE representatives
The EuroCC4SEE Workshop in Belgrade started today with welcome messages given by Dr. Nadja Schauffler from the High-Performance Computing Center Stuttgart, Dr. Antun Balaž from the Institute of Physics Belgrade, and Prof. Miloš Cvetanović from the University of Belgrade School of Electrical Engineering. The first day of the workshop focused on academic topics, showcasing a series of presentations that illustrate the application of HPC, HPDA, and AI in research.
prof. dr Enis Kocan (UCG) gave a presentation on NCC Montenegro and SME collaboration
The first day of the EuroCC4SEE workshop featured a series of engaging presentations highlighting the diverse applications of high-performance computing (HPC) across scientific disciplines.
dr Bojana Malisic giving a statement for the media
The second day of the EuroCC4SEE Workshop in Belgrade began with a session focused on SMEs, while the afternoon session included presentations on the use of HPC in public administration. During second day were discussed the emerging opportunities for SMEs within the HPC ecosystem. Team members introduced support structures aimed at making advanced computing more accessible to smaller businesses and highlighted case studies of SME innovation enabled by HPC services. The afternoon session of the workshop highlighted impactful applications of HPC/HPDA/AI in public administration, showcasing how advanced technologies are being integrated into public services, environmental monitoring, and digital governance.
Exchange of experiences and industry engagement
The EuroCC4SEE Workshop wrapped up on 22 May, showcasing the best practices shared by teams from the regional competence centers. NCC Montenegro team members participated in the event and give presentation – showcase examples of HPC applications in Montenegro with focus on eveloping SME and Startup Ecosystems; on the digitally mature IT sector, PoC prioritization using EuroHPC and national computing infrastructures, enhancing HPC engagement in academia etc.
The workshop aimed to enhance regional collaboration, coordinate training activities, and maximize the impact of NCC’s regional events to promote HPC/AI technologies and advancements across Southeast Europe.
We are pleased to announce that the Online Course on Prompt Engineering, which started on April 7, 2025, has been successfully completed!
Organized by NCC Montenegro within the EuroCC2 project, the course attracted participants from academia, industry, and the public sector, reflecting growing interest in large language models (LLMs) and the practical skills required to effectively interact with AI systems through prompt engineering.
Throughout the course, attendees explored the foundations of prompt engineering, best practices for writing effective prompts, and hands-on examples using state-of-the-art LLMs. The interactive format encouraged active learning and provided participants with the tools to apply AI more efficiently in their domains.
We thank all participants for their engagement and look forward to continuing to support skill development in AI, HPC, and digital transformation through future training opportunities.
This was the second time the course ran, bringing the toal number of participants to over 70
As part of the ongoing industry engagement efforts under the EUROCC2 project, the National Competence Center for High-Performance Computing (NCC Montenegro) visited the Center for Finance in Podgorica.
Ivana, Dejan, Ivan, Tomo, and Ilija at the meeting
We were welcomed by Mr. Ilija Mugoša, Executive Director, and Prof. Dr. Ivana Katnić, Head of Research and Education. The NCC Montenegro team—represented by prof. Tomo Popović, Mr. Ivan Jovović, and Mr. Dejan Babić—presented the objectives and services of the EUROCC2 project, highlighting the role of NCC in supporting the uptake of HPC technologies across sectors. The team shared insights on available HPC infrastructure, training opportunities, technical support, and assistance with applications for access to national and EuroHPC resources. The discussion focused on potential collaborations in applying HPC to the finance domain, including areas such as data-driven risk modeling, algorithmic trading simulations, and AI-enhanced financial forecasting.
Both parties recognized the importance of identifying the right use cases and relevant datasets that could benefit from the power of HPC. NCC Montenegro expressed readiness to support the Center for Finance in exploring these opportunities further—through technical guidance, co-development of pilot simulations, and assistance in transitioning from local development environments to HPC platforms. The possibility of applications for HPC resources and joint research and development project was emphasized as a key next step.
As part of a broader effort to analyze operational patterns in Montenegro’s healthcare sector, a predictive model was developed to estimate indicators related to the quality of healthcare services provided to citizens at the secondary and tertiary levels. The model was initially trained on a sample of 10,000 records and later expanded to over 40,000 records using the HPC cluster at UDG, which enabled the training process to complete in under one minute. All records were fully anonymized in accordance with ethical standards, and the dataset incorporated a wide range of temporal, demographic, and institutional variables relevant to healthcare access and service delivery patterns.
Using AI and HPC to analyze operational patterns in Montenegro’s healthcare sector
The model was implemented using the Random Forest Regressor algorithm, and additional experiments were conducted with alternative modeling techniques and target transformations. The baseline configuration achieved strong predictive performance (MAE ≈ 95 hours, R² = 0.87). While log-transformation and alternative algorithms such as XGBoost were evaluated, they did not yield improvements over the initial approach. Feature importance analysis revealed that factors such as month, weekday, and clinical unit had the highest impact on model outputs. Access to dedicated computing resources has been granted for further development, enabling continued model training and experimentation with advanced algorithms and optimization methods.
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