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Low-storage IMEX Runge-Kutta schemes for the simulation of Navier-Stokes systems

机译:用于模拟Navier-Stokes系统的低存储IMEX runge-Kutta方案

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Implicit/Explicit (IMEX) Runge-Kutta (RK) schemes are effective for time-marching ODE systems with both stiff and nonstiff terms on the RHS; such schemes implement an (often .A-stable or better) implicit RK scheme for the stiff part of the ODE, which is often linear, and, simultaneously, a (more convenient) explicit RK scheme for the nonstiff part of the ODE, which is often nonlinear. Low-storage RK schemes are especially effective for time-marching high-dimensional ODE discretizations of PDE systems on modern (cache-based) computational hardware, in which memory management is often the most significant computational bottleneck. In this paper, we develop one second-order, three third-order and one fourth-order IMEXRK schemes of the low-storage variety, all of which have the same or comparable low storage requirements, better stability properties, and either fewer or slightly more floating-point operations per timestep as the venerable (and, up to now, unique) second-order two-register Crank-Nicolson/Runge-Kutta-Wray (CN/RKW3) IMEXRK algorithm that has dominated the DNS/LES literature for the last two decades.
机译:隐式/显式(IMEX)runge-Kutta(RK)方案对于带有刚性和非激光的时间系统对RHS的ode ode系统有效;这种方案为颂歌的刚性部分实现(通常是稳定的或更好)的隐式RK方案,其通常是线性的,并且同时,同时,用于ODE的非基本部分的(更方便)的显式RK方案,通常是非线性的。低存储RK方案对于在现代(基于高速缓存)计算硬件上的PDE系统的时间高维竞争离散化特别有效,其中存储器管理通常是最重要的计算瓶颈。在本文中,我们开发了一个二阶,三个三阶和四阶初级iMexrk方案的低储存品种,所有这些都具有相同或相当的低存储要求,更好的稳定性,较少或略微每个时间步骤的浮点操作是尊贵(以及现在,独一无二的)二阶二阶两个注册曲柄-Nicolson / runge-Kutta-wray(CN / RKW3)Imexrk算法,它已经主导了DNS / LES文献过去二十年。

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