Scalable Newton-Krylov-BDDC and FETI-DP Deluxe Solvers for Decoupled Cardiac Reaction-Diffusion Models

N. Huynh, L. Pavarino, S. Scacchi
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引用次数: 1

Abstract

Abstract. Two parallel Newton-Krylov Balancing Domain Decomposition by Constraints (BDDC) and Dual-Primal Finite Element Tearing and Interconnecting (FETI-DP) solvers are analyzed and numerically studied for implicit time discretizations of the Bidomain equations. This system models the cardiac bioelectrical activity and it consists of a degenerate system of two non-linear reaction-diffusion partial differential equations (PDEs), coupled with a stiff system of ordinary differential equations (ODEs). A non-linear algebraic system arises from a finite element discretization in space and an implicit discretization in time, based on decoupling the PDEs from the ODEs. Within each Newton iteration, the Jacobian linear system is solved by a Krylov method, accelerated by BDDC or FETI-DP preconditioners, both augmented with the recently introduced deluxe scaling of the dual variables. Several parallel numerical tests on Linux clusters confirm a novel polylogarithmic convergence rate bound, showing scalability and quasi-optimality of the proposed solvers.
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解耦心脏反应扩散模型的可扩展Newton-Krylov-BDDC和FETI-DP豪华求解器
摘要对两种并行Newton-Krylov平衡约束域分解(BDDC)和双原有限元撕裂互连(FETI-DP)求解方法进行了分析和数值研究,用于biddomain方程的隐式时间离散化。该系统模拟了心脏生物电活动,它由两个非线性反应扩散偏微分方程(PDEs)的退化系统和一个刚性常微分方程(ode)系统组成。非线性代数系统由空间上的有限元离散化和时间上的隐式离散化组成,基于微分方程和微分方程的解耦。在每次牛顿迭代中,雅可比线性系统由Krylov方法求解,由BDDC或FETI-DP预调节器加速,两者都增加了最近引入的对偶变量的豪华缩放。在Linux集群上的几个并行数值测试证实了一个新的多对数收敛速度界,显示了所提出的求解器的可扩展性和拟最优性。
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