Lisa Su, CEO of AMD, believes that AI-enabled tools will dominate chip design as the complexity of processors continues to rise exponentially.
AMD has embraced artificial intelligence (AI) in chip design, recognizing its potential to revolutionize the industry. At the 2023 World Artificial Intelligence Conference (WAIC), Lisa Su emphasized the increasing influence of AI in chip design. AMD is already utilizing AI in semiconductor design, testing, and verification. The company is focused on interdisciplinary collaboration to improve hardware design in the future.
Enhancing Performance and Efficiency: AMD utilizes AI in the crucial "place and route" stage of chip design, optimizing sub-block positions for improved performance and energy efficiency. By continuously iterating and learning from patterns, AI accelerates the process of achieving an optimized layout. AMD plans to expand AI into other areas, such as microarchitecture designs, once certain challenges in protecting intellectual property are overcome.
Streamlining Verification and Validation: AI plays a vital role in chip verification, reducing the time required to detect bugs and generate test patterns. With billions of transistors in a chip design, comprehensive test coverage is crucial. AI learns from each test run, identifies coverage gaps, and adjusts testing focus, leading to faster processes and enhanced coverage.
AI in Electronic Design Automation (EDA) Tools: Leading EDA tool providers, including Ansys, Cadence, and Synopsys, offer AI-enabled software to support chip design. Synopsys, in particular, has launched Synopsys.ai, an end-to-end AI-driven EDA solution. This innovative tool enables developers to harness AI throughout all stages of chip development, from architecture to design and manufacturing.
AMD recognizes the potential of AI in chip design and has already integrated it into various stages of the process. With AI's ability to optimize performance, increase energy efficiency, and streamline verification, the industry is witnessing a significant transformation. As AI continues to evolve, it will revolutionize chip design and contribute to advancements in performance and efficiency.
AMD's Lisa Su says AI Will Dominate Chip Design
