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AMD, like other big companies that design chips, has been using artificial intelligence to design its chips for some time. Lisa Suethe company’s CEO believes that AI-enabled tools will eventually dominate the chip design industry as the complexity of modern processors increases exponentially.
Sue At the World Artificial Intelligence Conference (WAIC) held in Shanghai, he provided explanations about the dominance of artificial intelligence in certain parts of the chip design process. AMD’s CEO also emphasized the need for internal collaboration to build better chips in the future.
Jensen HwahangCEO of Nvidia and Mark Papermaster AMD’s chief technology officer has also noted that chip development is an ideal application for artificial intelligence. Red Team is currently using artificial intelligence in the design, testing and verification of its processors and plans to expand the use of said technology in its future chip design plans.
Papermaster in May TomsHardware He said: “AMD is currently using artificial intelligence in chip design. The mentioned technology is used especially in the Place and Route stage. This step considers the best location for sub-blocks to improve performance and optimize energy consumption. The ability of artificial intelligence to continuously repeat and learn patterns significantly increases the speed of the process of achieving the optimal layout, and as a result, performance and efficiency are improved. Artificial intelligence will be used even in more important parts of chip design, such as microarchitecture design.
Artificial intelligence has also been used in verification suites to reduce the time needed to identify bugs in the development process of processors, from the design stage to verification and validation. The technology also helps produce test patterns, because with billions of transistors in a chip design, it’s critical to ensure comprehensive testing is done to ensure the product is flawless. Artificial intelligence has a very high ability to learn from the results of successive tests, identify problems and change the focus of tests to solving problems, and this feature significantly increases the speed of the chip design process.
Artificial intelligence plays a central role in supporting and helping chip design. Top manufacturers of electronic design automation (EDA) tools, Cadence, Ansys, and Synopsys offer AI-enabled software to their customers, and Synopsys seems to be a little ahead of the competition when it comes to AI-enabled tools.
Earlier this year, Synopsys launched Synopsys.ai, which is considered to be the first AI-based EDA solution. With this tool, developers can use artificial intelligence in all stages of chip manufacturing, including architecture, design, and manufacturing.
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