Zhou Zhenya, Zuo Chengjie, Hu Ran, Cheng Minghou, Zhang Jinyu, Liu Qiang, He Xaiofeng
With the evolution of design processes and the increasing integration of circuits, the scale of circuit simulation has been continuously expanding, leading to an extended simulation and verification time. The limitations of traditional hardware architectures in performance enhancement pose significant challenges for design engineers. In recent years, with the development of artificial intelligence, general-purpose graphics processing units (GPGPUs) have rapidly advanced, offering computational power and memory bandwidth far exceeding that of contemporary CPUs, thus providing new opportunities for accelerating circuit simulation. This paper will explore the mathematical models corresponding to analog and radio frequency circuit simulations, as well as the commonly used solving algorithms in the industry, analyzing the opportunities and challenges faced in heterogeneous simulation environments. By integrating advanced computing platforms, circuit simulation can achieve a more efficient solving process. Nevertheless, effectively integrating these new technologies to meet the simulation demands of complex circuits remains a key focus of current research.
