首页> 外文OA文献 >Task Assignment Heuristics for Parallel and Distributed CFD Applications
【2h】

Task Assignment Heuristics for Parallel and Distributed CFD Applications

机译:并行和分布式CFD应用程序的任务分配试探法

摘要

This paper proposes a task graph (TG) model to represent a single discrete step of multi-block overset grid computational fluid dynamics (CFD) applications. The TG model is then used to not only balance the computational workload across the overset grids but also to reduce inter-grid communication costs. We have developed a set of task assignment heuristics based on the constraints inherent in this class of CFD problems. Two basic assignments, the smallest task first (STF) and the largest task first (LTF), are first presented. They are then systematically costs. To predict the performance of the proposed task assignment heuristics, extensive performance evaluations are conducted on a synthetic TG with tasks defined in terms of the number of grid points in predetermined overlapping grids. A TG derived from a realistic problem with eight million grid points is also used as a test case.
机译:本文提出了一种任务图(TG)模型,以表示多块高架网格计算流体力学(CFD)应用程序的单个离散步骤。然后,TG模型不仅用于平衡覆盖的网格之间的计算工作量,还用于减少网格间的通信成本。我们基于此类CFD问题固有的约束条件开发了一组任务分配试探法。首先介绍了两个基本任务,最小任务优先(STF)和最大任务优先(LTF)。因此,它们是系统成本。为了预测提议的任务分配试探法的性能,对合成TG进行了广泛的性能评估,其任务是根据预定重叠网格中的网格点数定义的。从具有八百万个网格点的实际问题中得出的TG也用作测试用例。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号