High-Performance Computer Systems

Today and in the future, high-performance computers will be ubiquitous in autonomous vehicles using machine learning, in data centres fueling telecom, and in IoT infrastructures to analyze huge volumes of data. The challenge is to design software and hardware for them to meet demanding power and energy constraints. Being able to develop and exploit such systems and bring them to the market will be the key to the success of future use of computing.n order to drive the development of future’s high-performance computer systems, whether for software or hardware development, it is necessary to have a holistic view. This view combines how algorithms specified in a high-level language can utilize given computational structures and how computational resources should be designed and managed to achieve the high demands on computational performance and energy utilization as required by the future digital society.The main topic and fundamental idea behind the programme is how the needs of future industries in terms of high computational performance and energy efficiency can be met with systematic methods based on the latest research results in the field of computer systems engineering. The Master’s Programme in High-Performance Computer Systems aims to provide these cutting-edge skills.Programme descriptionThe Master’s Programme in High-Performance Computer Systems:aims to provide a comprehensive understanding of how a complete computer system consisting of multiple layers of software and hardware interact to provide ultimate functionality, performance and energy efficiency characteristics;offers a deep understanding of different topics in the areas of computer architecture, computer graphics and real-time systems, which are required to master the design of future computer systems that achieve exceptional computational performance (using general purpose and accelerator processing elements) and energy efficiency for demanding emerging applications;offers the possibility to dive deep into innovation and entrepreneurship, with special emphasis on how technical ideas can be transformed into businesses either as a startup or as part of existing organizations.The Programme includes courses on advanced computer architecture as well as techniques to help deliver high performance from parallel programs. In addition, the programme offers the possibility for students to specialize in the areas of computer architectures and sustainable computing, computer graphics, or real-time systems. In addition, the students may also choose a track on Entrepreneurship. As part of their training, the students are offered a course covering generic skills such as technical writing and presentation, research methodology, and ethics. In addition to the compulsory and specialization courses, which offer the necessary depth, the students are free to choose elective courses, giving them a breadth into related areas such as computational science and machine learning. Finally, in order to complete the programme the students have to complete a 30 credit Master Thesis project where the acquired knowledge and skills are put into practice. This project offers the opportunity for students to work with world-renowned top faculty researchers that are involved in key projects related to the HPC strategy such as the European Processor Initiative (EPI) and use a variety of advanced systems available at the SNIC Science Cloud and the Chalmers Center for Computational Science and Engineering (C3SE).