Synopsys Extends Synopsys.ai EDA Suite with Industry's First Full-Stack Big Data Analytics Solution

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AI-driven Data Continuum Harnesses Untapped, Actionable Insights to Boost Productivity Across Design, Manufacturing, Testing, and In-Field Deployment

www.synopsys.com/, Sept. 07, 2023 – 

Highlights:

• Comprehensive AI-driven data analytics solution aggregates and utilizes data across IC design, test, and manufacturing flow to drive more intelligent decision making.
• Speeds design closure and minimizes project risk through intelligence-guided debugging and optimization.
• Improves fab yield for faster ramp and more efficient high-volume manufacturing (HVM).
• Uncovers silicon data outliers across the semiconductor supply chain to improve chip quality, yield, and throughput.

SUNNYVALE, Calif., Sept. 6, 2023 – /PRNewswire/ – Synopsys, Inc. (Nasdaq: SNPS) today announced the extension of its Synopsys.ai™ full-stack EDA suite with a comprehensive AI-driven data analytics continuum for every stage of integrated circuit (IC) chip development. The Synopsys EDA Data Analytics solution is the first of its kind in the semiconductor industry to provide AI-driven insight and optimization to drive improvements across exploration, design, manufacturing, and testing processes. The solution combines the latest advances in AI to curate and operationalize magnitudes of heterogenous, multi-domain data to accelerate root-cause analysis and achieve greater design productivity, manufacturing efficiency, and test quality.

The AI-driven Synopsys EDA Data Analytics (.da) solution includes:

Synopsys Design.da to perform deep analysis of data from Synopsys.ai design execution, providing chip designers with comprehensive visibility and actionable design insights to uncover power, performance, and area (PPA) opportunities.

Synopsys Fab.da to store and analyze large streams of fab equipment process control data that increase operational efficiencies and maximize product quality and fab yield.

Synopsys Silicon.da to collect petabytes of silicon monitor, diagnostic, and production test data from test equipment to improve chip production metrics, such as quality, yield, and throughput and silicon operation metrics, such as chip power and performance.

"As IC complexity grows and market windows shrink, the semiconductor industry is increasingly adopting artificial intelligence technologies to enhance the quality of results (QoR), speed verification and testing, improve fab yield, and boost productivity across multiple domains spanning the entire IC design flow," said Sanjay Bali, vice president of Strategy and Product Management for the EDA Group at Synopsys. "With the new data analytics capabilities within the Synopsys.ai EDA suite, companies can now aggregate and leverage data across every layer of the EDA stack from architecture exploration, design, test, and manufacturing to drive improvements in PPA, yield, and engineering productivity."

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