High performance computing is used to solve complex problems and process very large quantities of data in science, engineering, business and industry. As an increasing number of organisations – no longer only research centres, but also private companies – are looking to use these supercomputers, the need for HPC experts with knowledge in this highly specialised field is growing quickly.
In order to meet this expanding need for training highly skilled and talented graduate students, a consortium of European partners led by the University of Luxembourg has been selected by the EuroHPC Joint Undertaking to design and implement the first pan-European pilot HPC Master’s programme. “This is a strategic investment that will support the development of a world-class HPC ecosystem in Europe,” comments Pascal Bouvry, Professor of Computer Science and Head of HPC Infrastructure at the University of Luxembourg.
Ensuring the availability of HPC experts
The consortium, which includes industrial partners as well as universities and supercomputing centres, will develop a programme aimed at educating students in areas such as the design, deployment, operation and use of current and future generation HPC and HPC-related technologies in Europe. Students will also learn about driving HPC adoption and knowledge transfer in industry and academia. Courses will be offered by the partners from autumn 2022, and are expected to provide students with outstanding career perspectives in this field. The curriculum will have a modular structure, in order to make it easy to integrate all or some of the modules into new or existing Master’s programmes.
We will train the next generation of HPC experts in Europe.
“Thanks to this Master’s programme, we will train the next generation of HPC experts in Europe,” says Anders Dam Jensen, Executive Director of the EuroHPC Joint Undertaking. “Ensuring the availability of a high-skilled workforce to operate, use, and further develop these machines and their applications is perhaps the most sustainable investment in HPC.”