Cadence Delivers Machine Learning-Optimized Xcelium Logic Simulation


Reading time ( words)

Cadence Design Systems, Inc. announced the Cadence® Xcelium Logic Simulator has been enhanced with machine learning technology (ML), called Xcelium ML, to increase verification throughput. Using new machine learning technology and core computational software, Xcelium ML enables up to 5X faster verification closure on randomized regressions.

Using computational software and a proprietary machine learning technology that directly interfaces to the simulation kernel, Xcelium ML learns iteratively over an entire simulation regression. It analyzes patterns hidden in the verification environment and guides the Xcelium randomization kernel on subsequent regression runs to achieve matching coverage with reduced simulation cycles.

Cadence’s Xcelium Logic Simulator provides best-in-class core engine performance for SystemVerilog, VHDL, mixed-signal, low power, and x-propagation. It supports both single-core and multi-core simulation, incremental and parallel build, and save/restart with dynamic test reload. The Xcelium Logic Simulator has been deployed by a majority of top semiconductor companies, and a majority of top companies in the hyperscale, automotive and consumer electronics segments.

“Kioxia has effectively utilized 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 & Verification Group at Cadence. “Logic simulation continues to be the workhorse of digital verification, and we are investing heavily in fundamental performance optimizations like Xcelium ML to deliver the highest verification throughput to customers using our flow.”

Share

Print


Suggested Items

Google and NASA Achieve Quantum Supremacy

10/25/2019 | NASA
Google, in partnership with NASA and Oak Ridge National Laboratory, has demonstrated the ability to compute in seconds what would take even the largest and most advanced supercomputers thousands of years, achieving a milestone known as quantum supremacy.

Kirigami Inspires New Method for Wearable Sensors

10/22/2019 | University of Illinois
As wearable sensors become more prevalent, the need for a material resistant to damage from the stress and strains of the human body’s natural movement becomes ever more crucial. To that end, researchers at the University of Illinois at Urbana-Champaign have developed a method of adopting kirigami architectures to help materials become more strain tolerant and more adaptable to movement.

DARPA Tests Advanced Chemical Sensors

05/03/2019 | DARPA
DARPA’s SIGMA program, which began in 2014, has demonstrated a city-scale capability for detecting radiological and nuclear threats that is now being operationally deployed.



Copyright © 2020 I-Connect007. All rights reserved.