Development of technology and computer architecture – from 1-processor serial computers to supercomputers
On October 26, 2021 the third lecture of our „Supercomputing in science“ series took place on the premises of the Computational centre of the Slovak Academy of Sciences Doc. Šperka, who is also responsible for the Computer museum, showed development of computer architectures and it’s components, such as CPU, GPU and RAM.
Computational power increased thanks to new technologies and innovations in semiconductor device fabrication and enabled doubling the number of components per integrated circuit every two years – this trend is described by the Moore’s law. However, we are now approaching physical limits in this area.
Another way of speeding up calculations is to use parallel approach, supported by today’s supercomputer architectures, including high-speed interconnecting network. Doc. Šperka described the history from the first parallel vector computers and Cray-1 supercomputer up to modern supercomputers.
Lecture series is a joint activity of the Computer museum COO SAS and National Competence Center for HPC. NCC, as the primary contact point for HPC in Slovakia, covers, among other things, educational and dissemination activities in this area.
You can watch the recording of the event on Facebook and YouTube and you can already register for our next lectures. Schedule and registration:
- 10. novembra 2021 o 17:00 – Operation systems in multiprocessor clusters
Dušan Bernát (Faculty of mathematics, physics and informatics, Comenius University) - November 23, 17:00 - Short guide to software parallelization
Jaroslav Suchánek (Biomedical Research Center, SAS) - December 7, 17:00 - Federated distributed computing
Ladislav Hluchý (Institute of Informatics SAS) - December 21, 17:00 - Modelling of 2D systems properties using the Quantum Monte Carlo methods
Ivan Štich (Institute of Physics SAS)
More information about the series
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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.






