Simulator has been enhanced with machine learning technology

Cadence Design Systems has launched the Cadence Xcelium Logic Simulator, enhanced with machine learning (ML) technology, called Xcelium ML, to further verification throughput. Using new ML technology and core computational software, the solution allows up to 5X faster verification closure on randomised regressions.

Using computational software and a proprietary machine learning technology that directly interfaces to the simulation kernel, the simulator learns iteratively over a complete simulation regression. It analyses patterns hidden in the verification environment and guides the solution randomisation kernel on subsequent regression runs to accomplish matching coverage with decreased simulation cycles.

“Kioxia has effectively utilised Xcelium simulation for a variety of our designs, and it addresses our ever-growing verification needs,” said Kazunari Horikawa, senior manager, Design Technology Innovation Division at Kioxia Corporation. “With the new Xcelium ML, we’ve seen a 4X shorter turnaround time in our fully random regression runs to reach 99% function coverage of original, and plan to use this technology in production designs to shorten the time to market for Kioxia’s business.”

“Xcelium ML is a powerful technology and a great example of the significant opportunity we have to leverage machine learning in verification,” said Paul Cunningham, corporate vice president and general manager of the System and Verification Group at Cadence. “Logic simulation continues to be the workhorse of digital verification, and we are investing heavily in fundamental performance optimisations like Xcelium ML to deliver the highest verification throughput to customers using our flow.”