Profiling AI workloads on GPUs – Identifying performance improvements

Speaker: Daniel Gustafsson from AMD Silo AI

About the webinar

The seminar is for participants to learn how to identify and analyze performance improvements for AI workloads using profiling. Understand the fundamentals of profiling for AI workloads, which can be further applied upon completion of the seminar. The seminar combines theoretical knowledge with guided coding walkthrough to help participants identify performance improvements, understand traces, improve performance, and enhance efficiency of AI workloads on GPUs.

Who is the webinar for?

If you’re interested in how to use profiling to identify performance improvements for your AI workloads, then this seminar is for you and/or if you’re working as e.g., a Data/AI scientist or as an engineer.

Key takeaways for participants

• Understand how to identify and analyze performance improvements for AI workloads on GPUs
• Define profiling and explain key terminologies
• Understand why profiling is important and its connection to performance

Read more and register on the MIMER AI Factory website.

Organizer:

Mimer AI Factory