PRACE Summer of HPC
Since 2013, PRACE has been enabling students from Europe to take part in summer internships at European HPCs through the Summer of HPC program. SoHPC will be held online this year, but students will be able to come to some HPC centers and attend the program in person.
PRACE - Partnership for Advanced Computing in Europe aims to inspire and encourage a new generation of software engineers, system administrators and HPC users from a variety of disciplines, support new talent and keep Europe at the forefront of supercomputing. During the summer internship, master's degree students participate in work on specific projects under the guidance of experts from HPC centers.
The program begins with a several-day introductory online training, where participants learn more about HPC and get to know the entire team. In the coming weeks, they are working on individual projects, the results of which will be summarized in a short report and at the same time shown in the form of a video or presentation during the final mini-conference. The organizers also appreciate if students share their experiences on the Summer of HPC blog or through social media during the program. In the end, the best projects are awarded in the Best Visualization or Best Project categories.
Registration is open until April 12, 2022. All interesting project topics prepared by HPC experts this year can be found HERE.
Participants who will eventually participate in the program will be selected by a committee, which will also allocate a project based on their interest. One participant can choose 3 projects he would like to work on. Applicants can be from different disciplines, no previous experience with HPC is required - all you need is a desire to learn new things in the field of supercomputing!
PRACE Summer of HPC
Central European Working Group in Slovenia 19 May - On May 19, 2025, we met with representatives of National Competence Centres for High-Performance Computing (HPC) from Central European countries. The in-person meeting of the Central European Working Group, held in Slovenia, provided us with an exceptional opportunity to exchange experiences, strengthen regional cooperation, and discuss the shared challenges and opportunities we face within the EuroCC project.
We built professional relationships and engaged in constructive discussions with representatives from neighboring countries that, like Slovakia, are running their national HPC competence centres and working on their continuous development.
Such meetings play an important role in shaping common approaches, identifying synergies, and sharing best practices in delivering services to users—whether they are research institutions, the public sector, or businesses.
What Is Artificial Intelligence Capable of Today? Watch the Recording of the Webinar "Training Machines to Detect Any Object" 16 May - Dňa 13. mája 2025 sa uskutočnil odborný webinár s názvom Trénovanie strojov na detekciu ľubovoľného objektu, ktorý pripravil RNDr. Andrej Lúčny, PhD. z Fakulty matematiky, fyziky a informatiky Univerzity Komenského v Bratislave. Prednáška bola zameraná na aktuálne výzvy a riešenia v oblasti strojového videnia a umelej inteligencie, pričom sa venovala najmä schopnosti systémov rozpoznávať objekty bez nutnosti ich predchádzajúcej kategorizácie.
HPC and Artificial Intelligence: Joining Forces for the Future of Technology 15 May - V utorok 14. mája 2025 sme sa zúčastnili podujatia PyData Slovakia & Bratislava Meetup #29, ktoré sa uskutočnilo v Bratislave. Stretnutie dátovej a technologickej komunity sa nieslo v duchu aktuálnych trendov v oblasti umelej inteligencie, s dôrazom na pochopenie fungovania veľkých jazykových modelov (Large Language Models – LLMs), ktoré dnes čoraz výraznejšie ovplyvňujú rôzne oblasti nášho života – od komunikácie, cez vzdelávanie až po riadenie procesov vo firmách a verejnej správe. Hlavným rečníkom večera bol Radovan Kavický, prezident a hlavný dátový vedec v GapData Institute, ktorý svojou prednáškou s názvom "Under the Hood of LLM" pútavo predstavil, čo sa skrýva pod povrchom dnešných pokročilých jazykových modelov.