Synopsys adds agentic AI workflows for chip design

Key Takeaways

• Synopsys introduces autonomous agentic AI workflows for chip design in collaboration with Microsoft
• The new workflows are available for evaluation on Microsoft Discovery
• Synopsys' AgentEngineer technology extends agentic AI from task automation to long-running engineering execution
• Autonomous workflows demonstrate reductions of 25-40% in debug cycle time and improved implementation quality-of-results (QoR)

Introduction to Autonomous Chip Design

Synopsys, Inc. has announced the development of autonomous agentic AI workflows for chip design, created in partnership with Microsoft. These workflows are designed to increase engineering autonomy and accelerate product design from silicon to systems. The introduction of these autonomous workflows marks a significant milestone in the application of artificial intelligence (AI) in engineering.

Autonomous Workflows on Microsoft Discovery

The new autonomous workflows on Microsoft Discovery include:

Synopsys Fully-Autonomous Debug Closure Workflow

This workflow utilizes AI-powered verification and root cause analysis (RCA) to identify design failures, automate debug tasks, and accelerate validation. Early evaluations have shown reductions of 25-40% in debug cycle time, resulting in significant savings in engineering efforts and improved silicon quality.

Synopsys Fully-Autonomous Implementation and Closure Workflow

This workflow leverages Synopsys implementation agents and Fusion Compiler on Azure to automate implementation QoR tuning and closure. Initial results have demonstrated improved QoR, highlighting the potential of autonomous workflows in chip design.

Comparison of Autonomous Workflows

The Future of Chip Design

The introduction of autonomous agentic AI workflows marks a significant shift in the field of chip design. With the potential to increase engineering autonomy and accelerate product design, these workflows are poised to revolutionize the industry. As Synopsys, Microsoft, and other industry leaders continue to develop and refine these technologies, we can expect to see significant advancements in the field of chip design.

Bottom Line

The introduction of autonomous agentic AI workflows for chip design by Synopsys and Microsoft represents a major breakthrough in the application of AI in engineering. With the potential to reduce debug cycle time, improve silicon quality, and increase engineering productivity, these workflows are set to revolutionize the industry. As the technology continues to evolve, we can expect to see significant advancements in the field of chip design, leading to faster, more efficient, and more reliable product development.