REEDEAM is a project where Luleå University of Technology, Mälardalen University and Örebro University, and industry will co-produce education for the business community’s climate transition. The project aims to strengthen cooperation between universities and industry by improving access to demand-driven competence development. REEDEAM also aims to establish long-term cooperation between the universities based on their scientific areas of expertise. A planned research school will provide the business community with greater access to doctoral competence and further strengthen the universities’ cooperation with the surrounding industry and society. Lessons learned, and experiences from the KK Foundation’s expert competence program are integrated to ensure efficiency and quality by creating a cohesive competence offering.
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The course High-performance Computer Vision in the Cloud provides participants with the necessary tools and skills to navigate large-scale computing infrastructures, emphasizing scalability and performance optimization. Large computing infrastructures can be the key to driving the industry’s green transition. The course recognizes the instrumental role of large computing infrastructures in facilitating a green industry transition, enabling industrial actors to reduce environmental impact and optimize resource utilization, aiming to minimize energy consumption. The course covers concepts such as enabling technologies (e.g., CUDA), distributed computing, multi-core architectures, hardware versus software acceleration, container solutions(e.g., Docker and Kubernetes), as well as metrics and tools for monitoring performance and memory management, providing participants with a comprehensive skill set to lead environmentally responsible solutions in the digital era. Scheduled online seminars - TBA Entry requirements At least 180 credits including 15 credits programming as well as qualifications corresponding to the course "English 5"/"English A" from the Swedish Upper Secondary School.