Cadence Enhances Emulation Hardware with Apps for Billion Gate SoCs

Cadence, a leading provider of electronic design automation software, has announced the addition of three new apps to its Palladium Z2 emulation hardware for System-on-Chips (SoCs). These domain-specific apps are designed to help customers manage the increasing complexity of system design, improve system-level accuracy, and accelerate low-power verification for applications such as artificial intelligence, machine learning, hyperscale, and mobile.

The first app focuses on X-propagation, a critical aspect of SoC design. X-propagation refers to the propagation of unknown or uninitialized values in a digital circuit, which can lead to unpredictable behavior. By accelerating X-propagation on emulation, Cadence's customers can ensure the reliability and predictability of their SoC designs.

The second app addresses the growing demand for mixed-signal verification. As SoCs become more complex, they often include both digital and analog components. Verifying the interaction between these components is crucial to ensure the overall functionality and performance of the SoC. With the new app, Cadence enables customers to accelerate mixed-signal verification on emulation, saving time and improving efficiency.

The third app focuses on low-power verification, a critical requirement for modern SoC designs. As power consumption becomes a major concern in applications such as mobile devices and data centers, verifying the power management features of an SoC is essential. Cadence's new app allows customers to accelerate low-power verification on emulation, ensuring the power efficiency of their designs.

"To keep up with today's SoC design requirements, customers need an emulation solution that offers performance with predictable compile and debug," said Dhiraj Goswami, Vice President of Verification at Cadence. "With the release of these new apps, our customers can now accelerate X-propagation and mixed-signal on emulation, as well as improve low-power verification. This will enable them to meet their design goals more efficiently and effectively."