[External event] PRACE Autumn School 2021: Harnessing the EuroHPC Flagship Supercomputers

Overview

The PRACE Autumn School 2021 will bring together undergraduate and graduate students and postdoctoral researchers in different disciplines of scientific computing. The course consists of lectures and hands-on training on modern, GPU-accelerated high-performance computing: GPU programming and GPU code optimization at scale, as well as understanding and applying machine learning methods. The course includes also scientific case studies about using GPUs in various disciplines. The tutors and lecturers are experts in these fields providing various interesting aspects in the course topics. The five days of school (11-15 October 2021), organised by CSC - IT Center for Science, are filled with hacking, leisure activities, and having a good time together in Vuokatti, Finland. Also, the Autumn School includes a visit to the CSC’s Data Center in Kajaani, the home of one of the most powerful supercomputers in the world: LUMI. It is a unique opportunity for the participants to familiarize themselves with the cutting-edge data infrastructure in the field of HPC. The applicants can choose according to their interest which one from three parallel hands-on tracks they wish to attend:

• Introduction to deep learning
• Introduction to GPU programming with OpenMP
• Hackathon: Optimizing GPU applications on LUMI supercomputer

Maximum of 40 participants will be selected from registered applicants to attend the event. In order to become selected, the applicant should meet the required background skills for the Hands-on Track they apply for. The decisions of acceptance or rejection will be done in the order of arriving applications. Background and experience requirements for each of the Hands-on Tracks can be found on the section 2 on this page. Selected applicants are expected to confirm his/ her attendance as soon as possible after been selected, but latest by Monday 9th August 2021, 12:00 CEST. More detailed instructions of confirming the attendance will be provided to the selected applicants by email after the decision on selection.

Learning Outcome

After the course the participants should be familiar with modern GPU-accelerated supercomputers and the possibilities they offer. Depending on the chosen hands-on track the participants will have

• Skills and knowledge needed to begin applying deep learning for different tasks and utilizing the GPU resources for training and deploying their own neural networks.
• Basic skills needed in utilizing OpenMP offloading with new or existing programs
• Basic skills to optimize existing GPU-applications at scale

Registration and more information

For more information on eligibility, costs, and registration, you can follow this link https://events.prace-ri.eu/event/1188/. Registrations are open until the 30th of June 2021.