In this work we propose an effective preconditioning technique to accelerate the steady-state simulation of large-scale memristor crossbar arrays (MCAs). We exploit the structural regularity of MCAs to develop a specially-crafted preconditioner that can be efficiently evaluated utilizing tensor products and block matrix inversion. Numerical experiments demonstrate the efficacy of the proposed technique compared to mainstream preconditioners.
翻译:在这项工作中,我们提出了一种有效的先决条件技术,以加速大规模光学分子横截面阵列的稳定状态模拟;我们利用MCA的结构性常规性,开发一种专门设计的先决条件,可以利用高压产品和块状矩阵反向有效评估;数字实验表明,与主流先决条件相比,拟议的技术是有效的。