Marco introduces a graph-based framework that leverages LLMs to address hardware design complexity and reduce turn-around-time (TAT) for optimization cycles.

• Organizes chip design as a configurable task graph where specialized AI agents tackle specific design challenges
• Enables multi-agent collaboration that mimics human design teams' division of labor and expertise
• Significantly improves performance, power, area, and cost (PPAC) optimization through intelligent task orchestration
• Creates a scalable approach to managing increasing hardware complexity and technological advancement

This innovation matters for Engineering by automating complex hardware design tasks, reducing development cycles, and allowing human engineers to focus on higher-value creative work rather than repetitive optimization tasks.

Marco: Configurable Graph-Based Task Solving and Multi-AI Agents Framework for Hardware Design