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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)方案对于在RHS上同时具有刚性和非刚性项的时间行进ODE系统有效。这样的方案为ODE的刚性部分(通常是线性的)实现了(通常为.A稳定或更佳)隐式RK方案,同时为ODE的非刚性部分实现了(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(基于缓存)的计算硬件上对PDE系统进行高时间ODE离散化特别有效,其中内存管理通常是最重要的计算瓶颈。在本文中,我们开发了一种低存储种类的二阶,三阶和三阶IMEXRK方案,所有这些方案都具有相同或相当的低存储要求,稳定性更好,并且数量较少或稍少由于每个时间步都有更多的浮点运算,而古老的(至今为止是唯一的)二阶两寄存器Crank-Nicolson / Runge-Kutta-Wray(CN / RKW3)IMEXRK算法已在DNS / LES文献中占主导地位最近二十年。

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