AI In EDA: Building Blocks For Higher Productivity
ABSTRACT
This presentation explores how AI can revolutionize daily tasks in engineering, leading to the creation of a "Virtual AI PD Assistant“. Using physical design as an example, we will explore the requirements for a higher level of productivity and how both predictive and generative tools can be used for this task, including ReAct Agents and RAG. Join us as we unlock the potential of chip design automation with Generative AI and LLMs
BIOGRAPHY
Rajit Seahra is a Senior Fellow in the Central CAD team this is responsible for AMD RTL to GDS methodology. Rajit joined AMD full time in 2002 after completing his Bachelor's degree from the University of Toronto. He is one of the primary authors of many critical flows that are used by implementation teams every day, and he has directly worked on many tapeouts as part of design. He is based in Markham, Ontario, Canada.