首页> 外文期刊>Nuclear science and engineering >A Parallel Krylov-Based Adjoint Sensitivity Analysis Procedure
【24h】

A Parallel Krylov-Based Adjoint Sensitivity Analysis Procedure

机译:基于Krylov的并行伴随灵敏度分析过程

获取原文
获取原文并翻译 | 示例
           

摘要

We have implemented the first-order adjoint sensitivity analysis procedure (ASAP) into the three-dimensional parallel radiation transport code system Denovo, a module of the SCALE software suite. In particular, we used a Krylov-based approach to compute the solution to the inhomogeneous adjoint systems occurring in the ASAP. Our implementation, as a component of Denovo's scalable framework, should allow the efficient computation of cross section and atomic number density sensitivity coefficients for critical systems in a massively parallel fashion. We have constructed a proof that the Krylov-based approach converges to a unique solution and compared its computational requirements with the standard algorithm used in the neutron transport community. In addition, we performed a verification of our ASAP implementation on the Godiva experimental benchmark. We found the new approach to be an order of magnitude faster than the standard algorithm in this benchmark.
机译:我们已将一阶伴随灵敏度分析程序(ASAP)应用于三维并行辐射传输代码系统Denovo,这是SCALE软件套件的模块。特别是,我们使用了基于Krylov的方法来计算ASAP中出现的非均匀伴随系统的解决方案。作为Denovo可扩展框架的组成部分,我们的实现应允许大规模并行方式有效计算关键系统的横截面和原子序数密度敏感性系数。我们已经构造了一个证明,即基于Krylov的方法可以收敛到唯一的解决方案,并将其计算要求与中子输运界使用的标准算法进行比较。此外,我们在Godiva实验基准上对我们的ASAP实施进行了验证。我们发现新方法比该基准测试中的标准算法快一个数量级。

著录项

  • 来源
    《Nuclear science and engineering》 |2012年第2期|p.216-222|共7页
  • 作者

    R. T. Evans; D. G. Cacuci;

  • 作者单位

    North Carolina State University, Department of Nuclear Engineering 2500 Stinson Drive, 3140 Burlington Engineering Labs Raleigh, North Carolina 27695;

    North Carolina State University, Department of Nuclear Engineering 2500 Stinson Drive, 3140 Burlington Engineering Labs Raleigh, North Carolina 27695;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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