The compute time allocated to the course shall only be used for the purpose of doing the exercises of the course. They will receive temporary access for the purpose of the course. Users don’t need to have an account on LUMI for course.
The email acknowledging your registration will contain a link to manage it. If your plans change, we kindly ask you to cancel your registration as soon as possible (ideally before the registration deadline). Participants will receive confirmation shortly after the deadline. Register for the course latest by Janu16:00 CET. The registration deadline is 04 January, 2023 16:00 CET. We will keep a waiting list if registrations exceed the number of planned participants. The course is intended for users with ongoing projects on LUMI, users with project proposals in one of the national or EuroHPC channels, and support staff of local organisations of the LUMI consortium members. Requires a CUDA 10 capable NVIDIA graphics card on Windows/Linux Octane X requires an Apple M1/M2 GPU (MacOS 13+ iOS and iPadOS 16+) or AMD Vega/Navi. The course will be jointly conducted by the LUMI HPE Centre of Excellence (HPE CoE), AMD and the LUMI User Support Team (LUST).
#AMD LINK DEADLINE EXCEEDED HOW TO#
Step-by-step instructions will be sent out after the registration on how to join the project and set up a potential account. This project is Puhuri managed which means that CSC users have to set up a new LUMI user account. It will include lessons about compiling and using software on LUMI-G, porting, executing, and optimizing applications to run on AMD MI250X.įor doing the hands-on exercises and access the slides and training material on the course day, participants will have to join a course specific training project. This one day (11.1.23) online course serves as a detailed introduction to the LUMI-G (GPU partition) architecture and programming environment.
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