首页> 外文会议>High-Performance Computing in Asia-Pacific Region, 2005. Proceedings. Eighth International Conference on >Parallel programming models for finite-element method using preconditioned iterative solvers with multicolor ordering on various types of SMP cluster supercomputers
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Parallel programming models for finite-element method using preconditioned iterative solvers with multicolor ordering on various types of SMP cluster supercomputers

机译:在各种类型的SMP集群超级计算机上使用带多色排序的预处理迭代求解器进行有限元方法的并行编程模型

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Parallel iterative linear solvers for unstructured grids in FEM application, which were developed for the Earth Simulator (ES), have been ported to various types of SMP cluster supercomputers. Performance of flat-MPI and hybrid parallel programming model has been compared using more than 100 SMP nodes of ES, Hitachi SR8000 and IBM SP-3. Effect of coloring and method for storage of coefficient matrices have been also evaluated in various types of applications. Generally speaking, codes, which are developed for vector processors using multicolor ordering, demonstrate better performance with many colors on scalar processors. Flat-MPI and hybrid are competitive for each supercomputer. On ES, hybrid outperforms flat-MPI when number of SMP node is large and problem size is small because of MPI latency. In parallel computation of FEM-type applications, MPI latency is a very important parameter for choosing flat-MPI or hybrid.
机译:针对地球模拟器(ES)开发的FEM应用中非结构化网格的并行迭代线性求解器已移植到各种SMP集群超级计算机中。使用100多个ES,Hitachi SR8000和IBM SP-3的SMP节点,对Flat-MPI和混合并行编程模型的性能进行了比较。还已经在各种类型的应用中评估了着色效果和系数矩阵的存储方法。一般而言,为使用多色排序的矢量处理器开发的代码在标量处理器上具有多种颜色时表现出更好的性能。 Flat-MPI和Hybrid在每台超级计算机中都具有竞争力。在ES上,由于MPI延迟,当SMP节点数量大且问题大小较小时,混合型的性能优于平面MPI。在FEM类型的应用程序的并行计算中,MPI延迟对于选择平面MPI或混合模式是非常重要的参数。

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