AMD has begun to use artificial intelligence to designchipEssenceIn fact, the AMD executive Lisa Su believes that with the modernityprocessorThe complexity of the index is growing, and artificial intelligence tools will eventually lead chip design.
        AMD executive Lisa SuThe 2023 World Artificial Intelligence Conference (WAIC) The above said she believed that artificial intelligence would dominate some areas of chip design.According to Digitimes, she also emphasized the necessity of cross -disciplinary cooperation to achieve better hardware design in the future.
    Previously, Nvidia executives Huang Renxun and AMD technical officer Mark Papermaster pointed out that chip development is an ideal application of artificial intelligence.AMD has used artificial intelligence in semiconductor design, testing and verification.The company also plans to use generated artificial intelligence more widely in future chip design applications.
    Papermaster told Tom ' S Hardware in May that in AMD, artificial intelligence has entered chip design, especially in the layout and wiring stage.And lower energy consumption.The ability of artificial intelligence to iterate and learning models has greatly accelerated the process of optimizing layout, thereby improving performance and energy efficiency.Papermaster said that artificial intelligence will even be extended to more important aspects of chip design, such as micro -architecture design, especially after overcoming some intellectual property protection obstacles.
    artificial intelligence has also been applied to the verification kit to reduce the time required to detect errors during chip development (from concept to verification and verification phase).In addition, artificial intelligence also helps generate test mode.There are billions in chip designTransistorEnsuring comprehensive test coverage is essential for ensuring that the product is perfect when leaving the production workshop.Artificial intelligence can learn from each continuous operation, identify and test coverage, and adjust the key points of testing accordingly, thereby significantly accelerating the process and enhancing the test coverage.
    artificial intelligence (AI) has played a key role in supporting and assisting chip design.electronicThe three leading manufacturers of design automation (EDA) tools -ASYS, Cadence, and SynopSys -all provide SynopSys software to support AI, although SynopSys seems to be ahead of its competitors in terms of AI tools.
    Earlier this year, SynopSys launched SynopSys.ai, which is a end -to -end AI -driven EDA solution.This allows developers to use artificial intelligence in all stages of chip development (from architecture to design and manufacturing).