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Semiengineering
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New Ways To Improve EDA Productivity
- EDA vendors are focusing on improving the productivity of design and verification engineers due to increased chip complexity and time-to-market pressures.
- Improvements include enhancing core EDA tools, incorporating AI technologies, and addressing the productivity of junior designers.
- AI plays a key role in speeding up automated tasks and assisting verification engineers during the verification process.
- EDA has evolved from manual processes to high-level synthesis and structured verification, but traditional approaches have limitations in handling complex designs.
- AI agents are being introduced to work alongside engineers, providing domain-specific intelligence and accelerating work processes.
- Non-AI enhancements in EDA tools include area analysis for power savings and architectural correctness verification without simulation vectors.
- The shift-left approach in design flow is essential as linear flows are inadequate for complex designs, leading to challenges in development coordination.
- Leading-edge chips necessitate further innovation in SerDes technologies, memory interfaces, and comprehensive solutions to match compute power demands.
- The future of EDA productivity lies in intelligent systems that integrate contexts from past designs, autonomously aiding in architecture, design, and debug processes.
- Overall, advancements in EDA aim to accelerate design processes, ensure accuracy, and cope with market demands and evolving technologies.
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