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首页> 外文期刊>IEEE Transactions on Power Systems >Coarse grain scheduling in parallel triangular factorization and solution of power system matrices
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Coarse grain scheduling in parallel triangular factorization and solution of power system matrices

机译:并行三角分解中的粗粒度调度及电力系统矩阵的求解

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Two new coarse-grain scheduling schemes, the levelwise and factorization path scheduling schemes, are examined. These schemes differ significantly from fine-grain scheduling schemes which have been proposed in the past. If a fine-grain scheduling scheme at the floating-point-operation level is an appropriate scheduling method for the iPSC hypercube parallel processing computer, then the levelwise scheduling scheme presented should have gain comparable to that obtained using the factorization path scheduling scheme. Since this is not the case, it may be concluded that a fine-grain scheduling scheme is not appropriate for parallel LU factorization using an iPSC hypercube. Furthermore, the parallel LU factorization implementation using factorization path scheduling was found to perform significantly better than levelwise scheduling. The maximum speedup of 2.08 was obtained by using four processors on the 494 bus system. The efficiency at maximum speedup was 52.1%.
机译:研究了两种新的粗粒度调度方案:逐级和分解路径调度方案。这些方案与过去已经提出的细粒度调度方案明显不同。如果浮点运算级别的细粒度调度方案是iPSC超立方体并行处理计算机的适当调度方法,则提出的逐级调度方案应具有与使用分解路径调度方案获得的收益相当的收益。由于不是这种情况,因此可以得出结论,细粒度调度方案不适用于使用iPSC超立方体的并行LU分解。此外,发现使用分解路径调度的并行LU分解实现的性能明显优于逐级调度。通过在494总线系统上使用四个处理器,可以实现2.08的最大加速。最大加速时的效率为52.1%。

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