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Parallel predictor-corrector methods for the solution of ordinary differential equations.ii

机译:求解常微分方程的并行预测器-校正器方法.ii

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This work presents parallel multistep methods for the solution of ordinary differential equations. The characteristic of parallel computing is that there is a "front"and the computation at points ahead of the front depends only on information behind it. This requires a resetting of serial algorithms and may also lead to numerical errors and instabilities. The analysis of positive and negative aspects of parallel computing is the subject of this paper. Some of the methods presented below are uncommon in the literature on mathematical computing. Others have been elaborated for this study on the basis of the traditional Adams-Bashforth multistep methods. A performance comparison of the methods is made by numerical testing in molecular dynamics calculations. The increase of the number of processors m appears to seriously deteriorate the stability of the calculations and the use of m larger than 2 seems impractical.
机译:这项工作提出了求解常微分方程的并行多步方法。并行计算的特征是有一个“前端”,前端前面的点处的计算仅取决于其后面的信息。这需要重置串行算法,还可能导致数值错误和不稳定性。并行计算的正面和负面方面的分析是本文的主题。下面介绍的某些方法在数学计算文献中并不常见。在传统的Adams-Bashforth多步方法的基础上,对本研究进行了详细阐述。通过分子动力学计算中的数值测试对方法的性能进行了比较。处理器数量m的增加似乎严重降低了计算的稳定性,并且使用大于2的m似乎不切实际。

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