Course:
Overview of AI's Parallelization Methods in Supercomputers
Tuesday, 18.03. -
Wednesday, 19.03.2025
· 01 pm - 05 pm
online
This course introduces the essentials for running deep learning models on supercomputers and effectively scaling them. It provides foundational skills to enable efficient training of large models.
The course cover alternating sequences of theoretical input and hands-on exercises, during which the instructors are available for quick feedback and advice.
Prerequisites
To participate in this course, you need to know
-
How to code with Python and PyTorch
-
Machine Learning and Deep Learning
Target Group
This course is addressed for whoever wants to learn how to scale their models (students, researchers, employees …).
This course is open to individuals affiliated with Helmholtz or a HIDA Partner only.
Course Days & Times
March 18, 2025, 1 pm - 5 pm
March 19, 2025, 1 pm - 5 pm
