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ANGULAR MULTIGRID ACCELERATION FOR PARALLEL SN METHOD WITH APPLICATION TO SHIELDING PROBLEMS

机译:并行SN法的角多重网格加速及其在屏蔽问题中的应用。

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摘要

New acceleration formulations, which are compatible with the adaptive differencing strategy andrnparallel environments, are required. For this purpose, we have developed the Simplified AngularrnMultigrid (SAM), Nested Iteration (NI), and V-Cycle algorithms, and their variousrncombinations, and implemented them in the PENTRANTM 3-D Parallel SN code. Thesernformulations have been examined for a test problem using a variety of parameters includingrndifferent scattering ratios, coarse- and fine-grid convergence tolerances and quadrature orders.rnThe effectiveness of the new multigrid formulations is compared to the standard Partial CurrentrnRebalance (PCR) acceleration method. Thus far, the combinations of SAM and PCR or NI andrnPCR have proved to be very effective for a large range of c-ratios. We have achieved speedupsrnas high as a factor of ~7.3 in the number of iterations, or a factor of ~4.0 in the CPU time.rnPreliminary studies indicate that other combinations such as SAM+V-cycle+PCR or NI+Vcycle+rnPCR can be even more effective in certain problem conditions.
机译:需要与自适应差分策略和并行环境兼容的新加速度公式。为此,我们开发了简化的AngularrnMultigrid(SAM),嵌套迭代(NI)和V-Cycle算法及其各种组合,并在PENTRANTM 3-D并行SN代码中实现了它们。已使用各种参数(包括不同的散射比,粗网格和细网格收敛容差以及正交阶数)对这些公式进行了测试,以检验是否存在测试问题。将新的多网格公式的效果与标准的部分电流再平衡(PCR)加速方法进行了比较。迄今为止,已证明SAM和PCR或NI和rnPCR的组合对于大范围的c比例非常有效。我们已将speedupsrnas的迭代次数提高了约7.3倍,将CPU时间提高了约4.0倍。rn初步研究表明,SAM + V-cycle + PCR或NI + Vcycle + rnPCR等其他组合也可以在某些问题情况下甚至更有效。

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