时间相关偏微分方程隐式离散后,通常需要求解一个稀疏线性代数方程组序列.利用序列中相邻方程组性质的差异性与相似性,自适应地选取预条件子,提升方程组序列的并行求解效率,从而缩短总体求解时间,是一个值得研究的问题.本文针对科学与工程计算中广泛使用的代数多重网格(AMG)预条件子,设计了方程组序列相关的自适应预条件策略.通过惯性约束聚变(ICF)的辐射流体力学数值模拟典型应用,验证了该策略的有效性.测试结果表明,在某高性能计算机的3125个CPU核上,自适应预条件策略可将并行效率从47%提升到61%,将模拟总时间从19.7 h降为14.5 h.
In this work,we investigate the modulated-polarization of an intense linearly polarized laser through an ionizing gaseous medium in the presence of an external strong magnetic field with arbitrary *** simulations indi...
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In this work,we investigate the modulated-polarization of an intense linearly polarized laser through an ionizing gaseous medium in the presence of an external strong magnetic field with arbitrary *** simulations indicate that the laser polarization dramatically depends on the direction of the strong magnetic field,and we observe some striking symmetries of the energy transfer and the temporal profiles of the output laser *** above finding has implications in investigating the impact of self-generated strong magnetic field on the dynamics of the intense laser-plasma interactions,and the generation of modulated-polarization light sources.
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