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首页> 外文期刊>Journal of Computational Physics >Low-storage implicit/explicit Runge-Kutta schemes for the simulation of stiff high-dimensional ODE systems
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Low-storage implicit/explicit Runge-Kutta schemes for the simulation of stiff high-dimensional ODE systems

机译:用于刚性高维ODE系统仿真的低存储隐式/显式Runge-Kutta方案

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摘要

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-storageRK schemes are especially effective for timemarching 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 and characterize eight new low-storage implicit/explicitRK schemes which have higher accuracy and better stability properties than the only low-storage implicit/explicit RK scheme available previously, the venerable second-order Crank-Nicolson/Runge-Kutta-Wray (CN/RKW3) algorithm that has dominated the DNS/LES literature for the last 25 years, while requiring similar storage (two, three, or four registers of length N) and comparable floating-point operations per timestep. Published by Elsevier Inc.
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ODE系统是有效的。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稳定或更好)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,即通常是非线性的。低存储RK方案对于在现代(基于缓存)计算硬件上对PDE系统的高维ODE离散化进行时间划分特别有效,在这种计算硬件中,内存管理通常是最重要的计算瓶颈。在本文中,我们开发并表征了八种新的低存储隐式/显式RK方案,它们比以前唯一可用的低存储隐式/显式RK方案(古老的二阶Crank-Nicolson / Runge- Kutta-Wray(CN / RKW3)算法在过去25年中一直主导着DNS / LES文献,同时需要类似的存储(两个,三个或四个长度为N的寄存器)和每个时间步可比的浮点运算。由Elsevier Inc.发布

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