What is
HPC?
High performance computing (HPC) is the use of high-performance computing technologies (supercomputers and parallel programs) to solve complex numerical problems. Deployment of HPC is important in modern science as well as in industry.
Competence
Center
National competence center's mission is to promote the use of HPC in science and industry and to increase the competences of its users. If you are interested in more information, training or cooperation do not hesitate to contact us.
The services of the
and training
The National Competence Center provides services and courses in the field of HPC. All our services and courses are free of charge. Collaborate with us, use our computing resources, learn to code, find out how to optimize parallel code sand use HPC software efficiently.
News
and Information
We regularly publish updates on the activities of the competence center, reports on successful deployment of HPC, cooperation with academia and private sector, and organized events. Subscribe to our newsletter and follow us on social networks!
Slovakia has joined a European network of 33 competence centers. The aim of the EuroCC project. from CASTIEL is to bridge the existing HPC skill gaps while promoting cooperation and the implementation of best practices across Europe. European countries are currently taking part in the initiative and pooling their resources with the EU and private partners to enable the EU to become a world leader in supercomputing.
News
BeeGFS in Practice — Parallel File Systems for HPC, AI and Data-Intensive Workloads 6 Feb - This webinar introduces BeeGFS, a leading parallel file system designed to support demanding HPC, AI, and data-intensive workloads. Experts from ThinkParQ will explain how parallel file systems work, how BeeGFS is architected, and how it is used in practice across academic, research, and industrial environments.
When a production line knows what will happen in 10 minutes 5 Feb - Every disruption on a production line creates stress. Machines stop, people wait, production slows down, and decisions must be made under pressure. In the food industry—especially in the production of filled pasta products, where the process follows a strictly sequential set of technological steps—one unexpected issue at the end of the line can bring the entire production flow to a halt. But what if the production line could warn in advance that a problem will occur in a few minutes? Or help decide, already during a shift, whether it still makes sense to plan packaging later the same day? These were exactly the questions that stood at the beginning of a research collaboration that brought together industrial data, artificial intelligence, and supercomputing power.
Who Owns AI Inside an Organisation? — Operational Responsibility 5 Feb - This webinar focuses on how organisations can define clear operational responsibility and ownership of AI systems in a proportionate and workable way. Drawing on hands-on experience in data protection, AI governance, and compliance, Petra Fernandes will explore governance approaches that work in practice for both SMEs and larger organisations. The session will highlight internal processes that help organisations stay in control of their AI systems over time, without creating unnecessary administrative burden.Newsletter
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