{"id":11976,"date":"2023-02-13T07:00:00","date_gmt":"2023-02-13T15:00:00","guid":{"rendered":"https:\/\/formtek.com\/blog\/?p=11976"},"modified":"2022-07-07T13:19:00","modified_gmt":"2022-07-07T21:19:00","slug":"ai-chip-design-moving-from-scale-complexity-to-systemic-complexity","status":"publish","type":"post","link":"https:\/\/formtek.com\/blog\/ai-chip-design-moving-from-scale-complexity-to-systemic-complexity\/","title":{"rendered":"AI Chip Design: Moving from Scale Complexity to Systemic Complexity"},"content":{"rendered":"\n

A study by Google in 2021 found that AI<\/a> can design advanced computer chips more effectively than engineers can do it using traditional chip-design software. This has become a common practice among companies designing chips now like Nvidia<\/a>, Google<\/a>, Samsung<\/a>, and Synopsys<\/a>.<\/p>\n\n\n\n

Nvidia said that<\/a> “machine-learning techniques such as deep convolutional neural networks and graph-based neural networks could eventually aid designer productivity and automate optimization tasks.”<\/p>\n\n\n\n

Haoxing Mark Ren<\/a>, Nvidia researcher, said that<\/a> \u201cyou can design chips more efficiently, and it gives you the opportunity to explore more design space, which means you can make better chips.\u201d<\/p>\n\n\n\n

Mike Demler<\/a>, analyst at the Linley Group, said that<\/a> “artificial intelligence is well suited to arranging billions of transistors across a chip. It lends itself to these problems that have gotten massively complex. It will just become a standard part of the computational tool kit.\u201d<\/p>\n\n\n\n

Aart de Geus<\/a>, chief executive of chip-design software maker Synopsys, said that<\/a> “a machine will optimize everything, everything… Start with the specs of the chip, make some architectural decisions, and we automate all the rest.”<\/p>\n\n\n\n

de Geus said that<\/a> “we\u2019re going to deliver 1,000 times performance at the end of the decade,\u201d he said. \u201cI have high confidence about that. I think we have had the end of classic Moore\u2019s Law. And I believe this new era is moving from scale complexity to systemic complexity. I think the ambition is very high.”<\/p>\n

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A study by Google in 2021 found that AI can design advanced computer chips more effectively than engineers can do it using traditional chip-design software. This has become a common practice among companies designing chips now like Nvidia, Google, Samsung,…<\/span><\/p>\n

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