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Multicolor SOR Method with Consecutive Memory Access Implementation in a Shared and Distributed Memory Parallel Environment

机译:具有连续内存访问实现的多色SOR方法,共享和分布式内存并行环境

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A new implementation of the multicolor SOR was proposed including the variable sorting to achieve consecutive memory access. Its effect was confirmed on a shared memory vector/parallel and SMP machines, and it was found that the multicolor SOR method with consecutive memory access demonstrates excellent performance on both types of machine. The CMA multicolor SOR method retains almost the same convergence rate of the original SOR method and its execution speed is much faster than the original SOR on a vector computer. On the other hand, the parallel performance on a vector/parallel machine was greatly improved by one-dimensional serialization of the array, which leads to excellent load balance between cores. On an SMP machine, the CMA code showed the best performance among the test codes. In addition, good scalability was confirmed up to 256 nodes using a medium size of 416 x 416 x 416 for all tested methods in a distributed memory parallel environment. Especially, for the strong scaling test case, the CMA code showed super-linear behavior for a small number of CPUs compared with the other methods. Thus, if the size of the problem becomes bigger as the number of CPUs increases, i.e., the weak scaling case, then scalability seems to be promising.
机译:提出了多色SOR的新实现,包括可变排序来实现连续的存储器访问。它的效果在共享存储器向量/并行和SMP机器上确认,发现具有连续存储器访问的多色SOR方法在两种类型的机器上表现出优异的性能。 CMA多色SOR法保留了原始SOR方法的几乎相同的收敛速率,其执行速度比矢量计算机上的原始索拉更快。另一方面,通过阵列的一维序列化大大提高了向量/并联机器上的并行性能,这导致核之间的良好负载平衡。在SMP机器上,CMA代码显示了测试代码之间的最佳性能。此外,对于在分布式存储器并行环境中,使用416×416 x 416的中等大小确认了256个节点的良好可扩展性。特别是,对于强大的缩放测试用例,与其他方法相比,CMA代码显示了少量CPU的超线性行为。因此,如果由于CPU的数量增加,问题的大小变得更大,即,弱缩放案例,那么可伸缩性似乎很有前景。

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