The Webinar is for participants interested 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 webinar. The webinar combines theoretical knowledge with guided coding walkthrough to help participants identify performance improvements, understand traces, and enhance efficiency of AI workloads on GPUs.

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.

Agenda

• Introduction (5 min)
  • Welcome & Project Introduction
  • Overview of speaker role in AI and MINERVA
• Introduction to Profiling (5 min)
• Getting Started with profiling (25 min)
• How to profile AI workloads in practice (20min)
• Closing and Q&A Session (5 mins)
  • Open floor for questions