The combination of Cerebrus and the Cadence RTL-to-signoff flow now offers advanced chip designers, CAD teams and IP developers the ability to improve engineering productivity by up to 10X versus a manual approach while delivering a 20% better power, performance and area (PPA).
According to Cadence, with the addition of Cerebrus to its broader digital product portfolio, it is now able to offer the market's most advanced ML-enabled digital full flow, from synthesis through implementation and signoff. The new tool is cloud enabled and use highly scalable compute resources from leading cloud providers to meet design requirements across a wide range of markets including consumer, hyperscale computing, 5G communications, automotive and mobile.
Cerebrus is able provide customers with a number of benefits, including:
Reinforcement ML: Quickly finds flow solutions human engineers might not naturally try or explore, improving PPA and productivity.
ML model reuse: Allows design learnings to be automatically applied to future designs, reducing the time to better results.
Improved productivity: Lets a single engineer optimize the complete RTL-to-GDS flow automatically for many blocks concurrently, allowing full design teams to be more productive.
Massively distributed computing: Provides scalable on-premises or cloud-based design exploration for faster flow optimization.
Easy-to-use interface: Powerful user cockpit allows interactive results analytics and run management to gain valuable insights into design metrics.
“Previously, design teams didn’t have an automated way to reuse historical design knowledge, leading to excess time spent on manual re-learning with each new project and lost margins,” said Dr. Chin-Chi Teng, senior vice president and general manager in the Digital & Signoff Group at Cadence. “The delivery of Cerebrus marks an EDA industry revolution with ML-driven digital chip design where engineering teams have a greater opportunity to provide higher impact in their organizations because they can offload manual processes. As the industry continues to move to advanced nodes and design size and complexity increase, Cerebrus lets designers achieve PPA goals much more efficiently.”
