首页> 外文期刊>EPJ Web of Conferences >PARAMETRIC STUDY OF PARALLEL BLOCK JACOBI / SOURCE ITERATION HYBRID METHODS IN 2-D CARTESIAN GEOMETRY AND CONSTRUCTION OF THE INTEGRAL TRANSPORT MATRIX METHOD MATRICES VIA GREEN’S FUNCTIONS
【24h】

PARAMETRIC STUDY OF PARALLEL BLOCK JACOBI / SOURCE ITERATION HYBRID METHODS IN 2-D CARTESIAN GEOMETRY AND CONSTRUCTION OF THE INTEGRAL TRANSPORT MATRIX METHOD MATRICES VIA GREEN’S FUNCTIONS

机译:平行块Jacobi / Source迭代混合方法在二维笛卡尔频道几何形状中的参数研究和通过绿色函数的整体传输矩阵方法矩阵的构造

获取原文
       

摘要

Parallel Block Jacobi ( PBJ ) [1] is an asynchronous spatial domain decomposition with application in solving the neutron transport equation due to its extendibility to massively parallel solution in unstructured spatial meshes (grids) without the use of the computationally complex and expensive sweeps required by the Source Iteration ( SI ) method in these applications. [2] However, PBJ iterative methods suffer a lack of iterative robustness in problems with optically thin cells, [1] which we have previously demonstrated to be a consequence of PBJ ’s asynchronicity. To mitigate this effect, we have developed multiple PBJ / SI hybrid methods which employ a PBJ method ( Parallel Block Jacobi - Integral Transport Matrix Method ( PBJ-ITMM ) or Inexact Parallel Block Jacobi ( IPBJ )) along with SI . [3,4] In this work, we perform a parametric study to determine performance of numerous PBJ / SI hybrid methods as a function of multiple problem parameters. This parametric study reached 5 main conclusions: 1) our hybrid approach is more effective with PBJ-ITMM than with IPBJ , 2) for PBJ-ITMM , there is a hybrid method that mitigates the aforementioned iterative slowdown in optically thin cells without diminishing the method’s potential parallelism in unstructured grids, 3) this hybrid method is most effective in problems with large, continuous regions of very thin cells, 4) the best performing hybrid method consistently executes within a factor of ten slower than current state-of-the-art acceleration methods that are not efficiently extendable to the massively parallel regime, and 5) both PBJ - ITMM and IPBJ are observed to be viable approaches for our desired applications. In the pursuit of implementing PBJ-ITMM in unstructured grids, we conclude with a description of the Green’s Function ITMM Construction ( GFIC ) algorithm, which allows for the ITMM matrices to be constructed using the pre-existing SI sweep algorithm already present in unstructured grid SN transport codes.
机译:并行块Jacobi(PBJ)[1]是一种异步空间域分解,其应用于求解中子传输方程,由于其在非结构化空间网格(网格)中的大规模平行溶液的可扩展性而不使用所需的计算复杂和昂贵的扫描这些应用中的源迭代(SI)方法。然而,PBJ迭代方法在光学薄细胞问题中缺乏迭代稳健性,我们以前认为是PBJ的异步的结果。为了缓解这种效果,我们开发了多种PBJ / SI混合方法,该方法采用PBJ方法(并行块Jacobi - 积分传输矩阵方法(PBJ-ITMM)或不准确的并行块Jacobi(IPBJ))以及SI。 [3,4]在这项工作中,我们执行参数研究以确定众多PBJ / SI混合方法的性能作为多个问题参数的函数。本参数研究达到了5个主要结论:1)我们的混合方法比PBJ-ITMM比IPBJ-2)更有效,对于PBJ-ITMM,有一种混合方法,可以减轻光学薄细胞中上述迭代放缓而不减少方法非结构化网格中的潜在并行性,3)这种混合方法在非常薄的细胞的大,连续区域的问题中最有效,4)最好的混合方法始终如一地执行比当前最先进的倍数10倍。不高效地扩展到大量平行制度的加速方法,以及5)PBJ-ITMM和IPBJ都被观察到我们所需应用的可行方法。在追求非结构化网格中实现PBJ-ITMM,我们得出结论,通过对绿色的功能ITMM构造(GFIC)算法的描述,它允许使用已经存在于非结构化网格中的预先存在的SI扫描算法来构造的ITMM矩阵SN运输代码。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

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