Parallel multistage preconditioners by Hierarchical Interface Decomposition on “T2K Open Super Computer (Todai Combined Cluster)” with Hybrid parallel programming models

Parallel multistage preconditioners by Hierarchical Interface Decomposition on “T2K Open Super Computer (Todai Combined Cluster)” with Hybrid parallel programming models
复制标题

采用混合并行编程模型的“T2K 开放超级计算机(Todai 组合集群)”上的分层接口分解并行多级预处理器

DOI:
10.1109/clustr.2008.4663785
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发表时间:
2008
期刊:
2008 IEEE International Conference on Cluster Computing
影响因子:
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通讯作者:
K. Nakajima
K. Nakajima
中科院分区:
--
文献类型:
--
作者:
K. Nakajima

文献摘要

被引文献

相似文献

在这项工作中,基于“分层接口分解(HID)”和混合并行编程模型的并行预处理方法被应用于具有异质材料属性的介质中线性弹性问题的基于有限元的模拟。通过 OpenMP 应用带有循环多色 (CM-RCM) 的反向 Cuthill-McKee 重新排序来实现并行性。开发的代码已在使用多达 512 个内核的“T2K 开放超级计算机(Todai 组合集群)”上进行了测试。与传统的局部块雅可比预处理器相比,基于 HID 的预处理器提供了可扩展的性能和鲁棒性。 Hybrid 4x4 并行编程模型的性能与 Flat MPI 相当。
In this work, parallel preconditioning methods based on ldquoHierarchical Interface Decomposition (HID)rdquo and hybrid parallel programming models were applied to finite-element based simulations of linear elasticity problems in media with heterogeneous material properties. Reverse Cuthill-McKee reordering with cyclic multicoloring (CM-RCM) was applied for parallelism through OpenMP. The developed code has been tested on the ldquoT2K Open Super Computer (Todai Combined Cluster)rdquo using up to 512 cores. Preconditioners based on HID provide a scalable performance and robustness in comparison to conventional localized block Jacobi preconditioners. Performance of Hybrid 4x4 parallel programming model is competitive with that of Flat MPI.