Qorvo has unveiled its latest innovation, QSPICE, an amazing simulation software tailored to meet the needs of power and analog engineers. In the rapidly evolving landscape of circuit design, the software aims to address the challenges posed by prior simulation platforms and the growing demand for high-functioning software. SPICE circuit simulation has always struggled to fulfill the needs and stringent design requirements.
With failure rates of up to 15%, these tools often result in wasted time and resources for engineers. Moreover, the need for both analog and digital system simulations, such as those used in AI and machine-learning applications, adds to the complexity. Qorvo introduced QSPICE to cater to specific needs of analog and power designers.
The software enables engineers to integrate intricate digital algorithms alongside analog circuits, significantly improving the simulation speed, functionality, and reliability. Engineers can now code their digital algorithms into the simulation, allowing for more accurate and sophisticated evaluations of their systems’ dynamic behaviors.
QSPICE leverages advanced numerical methods and modern computing hardware, incorporating SSD-aware memory management and GPU-based UIs to enhance the simulation speed and accuracy.
Additionally, Qorvo regularly updates the software’s model library with the latest power management and silicon carbide solutions, ensuring that engineers have access to the most up-to-date resources. Power and mixed-signal designs benefit greatly from QSPICE, as it supports engineers in navigating the complexities of power integrity and noise analysis in contemporary power management and mixed-signal designs.
The software simulates parasitic impedances and power delivery networks to analyze power integrity in circuits, providing valuable insights into high-frequency applications. Qorvo’s benchmark tests indicate that QSPICE delivers exceptional performance, significantly reducing simulation runtimes and offering a 100% completion rate. This is a remarkable improvement compared to the failure rates seen in the standard simulations.