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A comparison between Fast Multipole Algorithm and Tree Code to evaluate Coulomb forces in 3-D

机译:快速多极算法与树代码评估3-D库仑力的比较

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摘要

We present tests of comparison between our versions of the Fast Multipole Algorithm (FMA) and the tree-code to evaluate gravitational forces in particle systems.\udWe have optimized Greengard’s original version of FMA allowing for a more efficient criterion of well-separation between boxes, to improve the adaptivity of the method (which is very important in highly inhomogeneous situations) and to permit the smoothing of gravitational interactions. The results of our tests indicate that the tree-code is 2–4 times faster than the FMA for clumped distributions and 3–9 times for homogeneous distributions, at least in the interval of N here investigated (N · 2 ¢ 105) and at the same level of accuracy (error»10¡3). This order of accuracy is generally considered as the best compromise between CPU-time consumption and precision for astrophysical simulations. Moreover, the claimed linear dependence on N of the CPU-time of the FMA is not confirmed and we give a “theoretical” explanation for that.
机译:我们提供了快速多极子算法(FMA)版本与树代码之间的比较测试,以评估粒子系统中的引力。\ ud我们优化了Greengard的FMA原始版本,以实现更有效的框间分离标准,以提高方法的适应性(这在高度不均匀的情况下非常重要)并允许重力相互作用的平滑化。我们的测试结果表明,至少在调查的N区间(N·2¢105)和在以下情况下,对于成簇分布,树码比FMA快2–4倍,对于均匀分布比树码快3–9倍。精度相同(误差»10¡3)。对于天体物理模拟,通常认为此精度等级是CPU时间消耗与精度之间的最佳折衷。此外,尚未确认所声称的对FMA的CPU时间的线性依赖关系,对此我们给出了“理论”解释。

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