Deep Learning with GPU Cores

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.

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.

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

Skills

Trainer

• Hauke Kirchner
• Mohammad Hossein Biniaz
• Ali Doost Hosseini

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