1、1Multi-Modality and Multi-AI Agents for Hardware DesignChia-Tung(Mark)Ho,Senior Research Scientist|GTC 20252AgendaMotivationLLM Agents for Hardware DesignConclusion&Future Work3NVIDIA CONFIDENTIAL.DO NOT DISTRIBUTE.Hardware Design Challenges Hardware design becomes more and more challenging as techn

2、ology advancing Increasing number of design rules Complex inter-layer design rules Strict patterning rule Growing number of transistors and more complex designs lead to long TAT.Opportunity:Leverage intelligent AI Agent to improve productivity and shorten TAT Timing analysis agent(days/weeks to mins

3、)Design rule checking code generation(days to mins)Verilog coding and debugging Source:IMEC Future Summits,May,2022Source:Nvidia4NVIDIA CONFIDENTIAL.DO NOT DISTRIBUTE.Autonomous Agent for Hardware Design Problems?How to acquire domain capability and improve deployment efficiency What problems to sol

4、ve with agent?Design generation,debug,review/analysis,optimization Low to medium intellectual effort,lots of tedious works Increase productivity,make designers life easier Extensive domain capability required to build useful agents for chip design Diverse design knowledge:Logic design,physical desig

5、n,verification,analog design,etc.Diverse set of tool commands and file format:PrimeTime,ICC2,Innovus,reports,LEF/DEF,etc Capability acquisition methods By model:foundation and fine-tuned models By prompt:prompt engineering By tools:RAG/customized tools/APIs By decomposition:task flow,multi-AIs conve

6、rsation By learning:trial-and-error,experience accumulation Many knowledge comes from the designers insights Need a framework that is easy to develop by designer experts Low-code development Library of Agents and ToolsHardware Design Problems&Challenges for Agent DeploymentLLM Skill&Capability for S