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MOSFET circuit simulation by using nonlinear relaxation and GPU

机译:使用非线性松弛和GPU的MOSFET电路仿真

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Circuit simulation is very important and time-consuming. Parallel computing does well accelerate the calculating speeds of many applications. GPU cards have thousands of threads, so it's a good strategy to use GPU cards to perform circuit simulation. This paper use appropriate numerical methods, including techniques used by SPICE and Nonlinear Relaxation (relaxation-based method for solving nonlinear equations), to perform the circuit simulation. We assign the heaviest calculation portion of the simulation program to the GPU card, i.e. the nonlinear equation (derived by Newton Raphson iteration) solving portion. The complete circuit simulation program based on proposed methods has been coded and tested by solving some MOSFET circuits. The resulted speedup justifies the success of this research.
机译:电路仿真非常重要且耗时。并行计算确实可以很好地加快许多应用程序的计算速度。 GPU卡具有数千个线程,因此使用GPU卡执行电路仿真是一个不错的策略。本文使用适当的数值方法(包括SPICE和非线性松弛法(用于解决非线性方程的基于松弛的方法)使用的技术)进行电路仿真。我们将仿真程序的最重计算部分分配给GPU卡,即非线性方程式(由Newton Raphson迭代推导)求解部分。已经通过解决一些MOSFET电路对基于提议方法的完整电路仿真程序进行了编码和测试。加快的速度证明了这项研究的成功。

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