Synopsys, Inc., Mountain View, Calif., reaches scale for AI-driven chip designs as major semiconductor customers register the first 100 commercial tape-outs with the company’s award-winning Synopsys DSO.ai autonomous design system. Recent customers, including STMicroelectronics and SK hynix, have all seen significant uplifts in productivity and PPA, and are now charting a new design course using reinforcement learning-enabled design tools on cloud and on-premise.
By using Synopsys DSO.ai (Design Space Optimization AI) the companies are setting a blistering pace for developing advanced-node chips through the key design phases. Customers experienced more than 3x productivity increases, up to 25% lower total power, and significant reduction in die size, with reduced use of overall resources.
Traditional design space exploration has been a highly labor-intensive effort, typically requiring months of experimentation. Using AI technology, Synopsys DSO.ai searches design spaces autonomously to discover optimal PPA solutions, massively scaling the exploration of choices in chip design workflows and automating many menial tasks.
“Delivering high-performance, robust memory products at industry-leading volumes demands intensive optimization, which has traditionally been highly human intensive,” said Junhyun Chun, head of SoC (System on Chip) at SK hynix. “Synopsys DSO.ai brings a huge amount of design team efficiency, giving our engineers more time to create differentiated features for our next generation of products. It’s also driving fantastic results as demonstrated in a recent project where DSO.ai delivered a 15% cell area reduction and a 5% die shrink.”
“AI’s ability to explore broader design spaces is accelerating our customers’ relentless drive towards better PPA and higher productivity with fewer engineering resources,” said Shankar Krishnamoorthy, GM for the EDA Group at Synopsys. “We’ve monitored the first 100 commercial tape-outs by customers using Synopsys DSO.ai and the results are compelling. Whether they’re designing in the cloud, on-premise or a hybrid of the two, it’s clear that in every case, designers are seeing significant gains from optimized designs delivering better results and faster time-to-market. The cloud-side is particularly exciting as deploying Synopsys AI technology at scale in data centers ushers an exciting new era for designers everywhere.”
“Microsoft is committed to democratizing advanced chip design, so it was a natural move for us to host the Synopsys DSO.ai design system on Azure,” said Jean Boufarhat, corporate vice president, engineering, Azure Hardware and Infrastructure at Microsoft. “With AI-powered chip design on Azure, companies can leverage cloud-scaling to boost productivity and optimize very large solution spaces like high-performance computing.”
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