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首页> 外文期刊>Journal of Parallel and Distributed Computing >A multigrain Delaunay mesh generation method for multicore SMT-based architectures
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A multigrain Delaunay mesh generation method for multicore SMT-based architectures

机译:基于多核SMT架构的多颗粒Delaunay网格生成方法

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Given the proliferation of layered, multicore- and SMT-based architectures, it is imperative to deploy and evaluate important, multi-level, scientific computing codes, such as meshing algorithms, on these systems. We focus on Parallel Constrained Delaunay Mesh (PCDM) generation. We exploit coarse-grain parallelism at the subdomain level, medium-grain at the cavity level and fine-grain at the element level. This multi-grain data parallel approach targets clusters built from commercially available SMTs and multicore processors. The exploitation of the coarser degree of granularity facilitates scalability both in terms of execution time and problem size on loosely-coupled clusters. The exploitation of medium-grain parallelism allows performance improvement at the single node level.Our experimental evaluation shows that the first generation of SMT cores is not capable of taking advantage of fine-grain parallelism in PCDM. Many of our experimental findings with PCDM extend to other adaptive and irregular multigrain parallel algorithms as well.
机译:鉴于分层的,基于多核和SMT的体系结构的泛滥,必须在这些系统上部署和评估重要的,多层的,科学的计算代码,例如网格算法。我们专注于并行约束Delaunay网格(PCDM)生成。我们在子域级别利用粗粒度并行性,在腔级别利用中等粒度,在元素级别利用细粒度。这种多粒度数据并行方法的目标是从商用SMT和多核处理器构建的集群。较粗粒度的利用促进了松耦合集群上的执行时间和问题大小方面的可伸缩性。利用中粒度并行性可以在单节点级别提高性能。我们的实验评估表明,第一代SMT内核无法利用PCDM中的细粒度并行性。我们在PCDM上的许多实验发现也扩展到其他自适应和不规则的多粒度并行算法。

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