Deep Learning with GPU Cores

Event content

Graphic processors enable efficient deep learning on a massive scale. This course will explore how to use deep learning frameworks with GPU cores. Each participant gets hands-on experience with an example workflow. As the GWDG will offer several high-end GPU nodes, this course will help our attendees to get the most out of our new hardware. Moreover, theoretical concepts such as hardware architecture will be covered.

Learning Goal

After attending the course, participants

• know basic concepts of GPU cores and when to use them
• can migrate their deep learning workflow to the GPU
• have an overview of hardware accelerators available on our clusters

Information about the event

Max. participants

40

Requirements

• Participants should have a basic knowledge of Linux and experience in one programming language (preferably Python).
• In addition, basic deep-learning understanding is recommended.

Speakers

Hauke Kirchner

Mohammad Hossein Biniaz

Ali Doost Hosseini